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Article

Impact of the COVID-19 Pandemic Era on Residential Property Features: Pilot Studies in Poland

by
Katarzyna Kocur-Bera
Faculty of Geoengineering, University of Warmia and Mazury in Olsztyn, 10-719 Olsztyn, Poland
Int. J. Environ. Res. Public Health 2022, 19(9), 5665; https://doi.org/10.3390/ijerph19095665
Submission received: 14 March 2022 / Revised: 27 April 2022 / Accepted: 29 April 2022 / Published: 6 May 2022
(This article belongs to the Section Environmental Health)

Abstract

:
Flats/houses in the COVID-19 pandemic era became the central place for living, working, learning, studying and entertainment. According to Maslow’s pyramid, all the basic needs had to be satisfied within a single space, which caused a change in the importance of certain locational and physical features of the flat/house. This study aimed to investigate how the COVID-19 pandemic changed the perception of the environmental features and the physical features of flats/houses. The research material was obtained from a questionnaire study disseminated through different online channels. The study was conducted in Poland, and citizens’ preferences are linked to the prevailing spatial and socio-economic determinants. A group of respondents were presented with 23 features describing the location and 17 features describing the physical features of flats/houses. They were also asked questions about the level of satisfaction with the current location and housing features. The results were analysed, and the statistical significance of the difference in the perception of the location features and the physical features of the flat/house was verified using a Chi-squared test. The results demonstrated a change in the importance of certain attributes concerning both external and internal factors. The physical features of the flat/house appeared to be more important (from the respondents’ perspective) than the features related to the location, as most changes occurred in that group. The respondents indicated that access to medical care facilities had gained importance (+8%), while good access to public transport had declined (−9%). For the physical features of flats/houses, respondents from other countries also indicated the importance of other attributes, i.e., the floor area (+12%), number of rooms (+14%), additional rooms (+14%), and access to broadband Internet and digital platforms (+28%). The study showed that over 30% of respondents would change their flats/houses if their financial means permitted.

1. Introduction

There has always been the dream of creating an ideal space for an ideal society throughout history. Many events in the history of mankind changed the perception of an ideal space. Wars, epidemics, developments in technology, and a change in the economic conditions of a particular country contributed to changes in the perception of human needs and housing, work, and leisure patterns. We are currently witnessing one of the major world-changing events in recent decades. The COVID-19 pandemic has been responsible for 5.5 million deaths worldwide [1]. According to official data, there were 105,753 COVID-19-related deaths in Poland (see Figure 1). However, mortality statistics indicate a very large number of excessive deaths in Poland [2] due to (among other reasons) a lack of testing of certain people (with respiratory failure or pneumonia being indicated as the cause of death or other disorders). According to the report Health at a Glance [3], as regards the OECD countries, Poland is ranked second (after Mexico) in terms of the number of excess deaths per million inhabitants [2]. The actual number of deaths due to COVID-19 in Poland may, therefore, be many times higher.
The introduction of many restrictions due to the COVID-19 pandemic, e.g., limiting the possibility of moving around in an open space and the implementation of work performance, learning/studying, and entertainment via the Internet, forced people to redefine their goals and expectations. This concerns the way of performing work, learning, studying, spending free time, and people’s housing conditions [5,6]. The place of residence became the central place of life. The simultaneous use of a flat/house by all household members (school-age children, working adults) resulted in more intensive use of the flat/house [7,8,9,10,11,12].
For every human to achieve well-being, a group of needs must be satisfied. Maslow identified different levels of needs and the order in which they are to be satisfied. According to Maslow, the most basic level must be satisfied before a person could strongly desire secondary or higher-level needs (see Figure 2—Maslow’s pyramid). In the COVID-19 era, the flat/house became the place where people sought to satisfy all of their basic physiological human needs.
Previous research into physical and psychological human well-being focused on achieving well-being along with economic well-being and on improving human health and physical and psychological well-being [16] outside the housing environment [17,18,19]. The restriction of free movement due to the COVID-19 pandemic reinforced concerns that well-being could not be achieved. The lack of proper space for working, learning, exercising, and privacy in a flat/house may increase stress levels and, consequently, affect citizens’ mood and health [20,21,22,23].
Therefore, the perception of current residential patterns may have changed during the COVID-19 pandemic due to lifestyle, work, and entertainment changes. These changes could have caused changes in flat/house patterns and affected housing demand.
The location of a residential unit (external factors) and its physical features (internal factors) became crucial in satisfying daily human needs in the pandemic era. Before the pandemic, market analysts claimed that the property value/price is affected by the “location, location, and once again location” [23,24]. It was defined, inter alia, by the following: (1) the presence of amenities and availability of services (e.g., shops, healthcare facilities, schools, pubs, parks, etc.); (2) quality of the neighbourhood (e.g., safety, aesthetics, green areas); (3) access to public transport or a road to enable moving around quickly. These components allow a broad range of human functional and recreational needs to be satisfied [9,23,25,26,27,28].
Besides the locational features, each residential unit has a unique set of physical attributes such as the floor area, age, number of sleeping rooms, outdoor private space, etc. [9]. The literature has many articles on the effect of these attributes on purchasers’ preferences [14,27,29,30,31,32].
Under the COVID-19 pandemic conditions, since daily life took place mainly in the flat/house, its physical features (internal factors) assumed particular importance. The number of rooms, floor area of the flat/house, and any additional space that can be adapted to purposes other than originally intended have gained more value. In the pandemic era, a winter garden, extension to a building, a shed, or even a balcony [9] became important in performing work at home (online), resting, and the need to feel isolated after many days of staying together with other household members.
The COVID-19 pandemic also changed the perception of the place where work was performed and forced people to perform it under home conditions. Remote working merged the home and workplace [33,34,35]. This resulted in a growing demand for a space for online working at home, with features similar to a traditional office [36,37]. The attributes that became important include access to information and telecommunication technology [6,38], natural illumination, good thermal and acoustic insulation [6], and access to fresh air [39]. During the pandemic, access to communication technologies and digital platforms became an absolute necessity in all aspects of daily life. Meetings via Skype, Zoom, Microsoft Teams, etc., became one of the basic media which enabled working, learning, studying, resting, having fun, and satisfying social needs.
People who spent most of their time in flats/houses and performed various activities paid particular attention to energy-efficient appliances (e.g., work/computer, heating/air conditioning, cooking, etc.), as they were used extensively during the pandemic. In the future, energy-efficient solutions may become more desirable, e.g., low energy consumption appliances, windows with double or triple glazing, equipment for electricity generation from renewable energy sources, etc. The COVID-19 pandemic also changed the perception of natural solar energy and ventilation [40] in houses and flats. As demonstrated by the study results, pleasant views from the windows and acceptable lighting levels (different in the living room and the sleeping room) became very important for stress relief [41,42]. Moreover, access to good quality air in residential areas and natural ventilation also promote health and improve well-being, both of which were worsened by COVID-19 [40,43].
Living under the new pandemic conditions became more difficult for people residing in city centres with limited access to green areas [44,45]. Such locations offer limited possibilities for satisfying recreational needs. People living in the suburbs (or in urban peripheries) usually have adequate greenery around their houses. However, this is often associated with limited access to other facilities and services (e.g., shops, takeaway meals, cinemas, and theatres). A question arises: did the COVID-19 pandemic change the social perception of essential spatial attributes (external factors) or the features of flats/houses (internal factors)?
The research conducted to date into the effect of the COVID-19 pandemic on the property market has involved various research methods. Researchers have often based their inquiries on survey methods, in particular concerning the assessment of flat attribute social needs [46,47], the assessment of the property market in the pandemic era by business brokers [47], and the effect of the pandemic on global economy and properties [48]. There have also been studies concerning the effect of COVID-19 on changes in property prices and income [49]. The IMI index (a specific market intensity indicator provided by the Italian Revenue Agency) was estimated along with the economic model of Lotka-Volterra [50,51]. There is also a noticeable trend in the literature to compare the COVID-19 pandemic with extreme, abnormal events [52] and to adopt the research methods adopted in the field to analyse the impact of the COVID-19 pandemic on the property market. In particular, this concerns research into the changes in sale prices and rents by analysing historical economic data series [53], the use of the hedonic price method [54,55], which enables the assessment of the market value of a property while taking account of both the internal and external features of properties [56] to quantitatively determine the impact of extreme [57] and environmental [58] events.
The current study presents preliminary opinions on changes in Polish preferences regarding the perception of residential properties’ external and internal features induced by the COVID-19 pandemic. The analyses focused on the surrounding environment (external factors) in which a residential property is situated and its physical attributes (internal factors). Previous research mainly showed the need for multiple functions to co-exist in the flat/house [34,59,60] during the COVID-19 era. The current study extended this theme to include spatial/locational determinants of the property surroundings. Research into changes in social preferences regarding the features of a flat and its surroundings in the COVID-19 pandemic era is of great importance. The pandemic brought humanity to a standstill. The place of residence became very important, as the restrictions on mobility forced an enormous number of people to work, learn/study, and be entertained in one place, with the participation of all flat/house residents. This helped the public become aware of the surrounding space and the importance of environmentally friendly solutions in flats/houses, which alleviate human stress and promote well-being. As shown by [40,61], the promotion of passive strategies in the design of flats/houses contributes to sustainable environmental development and helps combat climate change and meet ambitious energy efficiency targets. The current study fills the knowledge gap in terms of human preferences concerning the features of residential properties and their surroundings, taking into account the effect of pandemic conditions on the Polish property market.
The article is structured as follows: following the introduction and literature analysis (Section 1), the data acquired for the study and the research methods are described (Section 2). The results obtained from the questionnaire survey are then presented (Section 3) and discussed (Section 4), and the study is then summarised.

2. Materials and Methods

The investigation of changes in society’s needs regarding the location factors and physical attributes of the flat/house in the context of the COVID-19 pandemic was based on questionnaire surveys and their analysis. The procedure is provided in Figure 3.
The questionnaire was developed exclusively for this study, using an online questionnaire and Microsoft Forms. The online study into preferences (SPS) was conducted from 1 December 2021 to 30 January 2022. The questionnaire was available online in the Polish language and was disseminated via several channels. The survey questionnaire was distributed by sending a link to academic institutions (universities, polytechnics, high schools, etc.), offices, institutions, property agencies, etc. Attention was focused on selecting units in which the employees/students address the issues related to property economics, property management, socio-economic geography, etc. The survey form was also distributed using social media (Facebook), particularly in discussion groups associated with property rental, sale of residential properties, and the construction of houses (e.g., “She’s building a house!”, “Loft interiors”, “The Barn project—the construction of house”, “if I were building for the second time...”, and others).
The study area covered all of Poland.
The selection of variables (external and internal attributes of residential properties) adopted for the study was based on an analysis of relevant literature describing the attributes of importance to the public concerning local property markets [34,39,59,60,62,63,64], and legislation regarding the effect of spatial attributes on the market value of properties [63,64,65,66].
The first part of the questionnaire asked the study participants about socio-demographic data, such as sex, age group, employment status, education, marital status, region of residence, characteristics of the place of residence location, and the type of flat in which the respondent spent the most time before the COVID-19 pandemic and during the pandemic (see Table 1).
The second part of the questionnaire (external factors) provided a list of external attributes linked to the location of the place of residence (e.g., the distance to the workplace, leisure and entertainment facilities, shops, etc.) and internal features (internal factors) directly linked to the flat/house (e.g., the floor space, number of rooms, additional space, view from the window, etc.). The external factors of location included 23 attributes, while the internal factor of the flat/house included 17 factors (see Table 2).
The final part of the questionnaire included questions concerning the level of satisfaction with the current place of residence. Moreover, the preferences regarding the declared change in both the residential location and the flat/housing type were investigated.
The χ 2 test was conducted based on the formula [67]:
χ 2 = r i = 1 f i n p i 2 n p i
where:
χ 2 —Chi-squared test;
f i —number of observed values from a particular interval;
n p i —number of n units which should be included in a particular interval.
In order to analyse the collected data and monitor their statistical validity, a method for identifying atypical observations and the missing data analysis was applied [67].

3. Results

The questionnaire concerning changes in social preferences regarding the place of residence caused by the COVID-19 pandemic was mainly completed by women (57.5%) in the age group of 18–54 years (73%). In total, 79.5% of respondents were workers/employees with higher education (71.5%). The highest percentage of the respondents were people in a civil partnership (74.5%), while 23.5% of respondents were single. The questionnaire was completed most often by inhabitants of the following voivodeships: Mazowieckie (13%), Warmińsko-Mazurskie (17%), Wielkopolskie (16.5%), and Podkarpackie (14.5%). In total, 47.5% of the examined respondents inhabited a city centre, 29.5% inhabited a city periphery, 11.5% inhabited a suburban area, 3.5% inhabited a rural area (central part), while 8% lived in a rural periphery. The respondents mainly lived in 2- or 3-room flats (44.5%) or detached houses (26%) (see Table 1). The largest group comprised people in a relationship with children, who accounted for 40% of the respondents. A total of 47.5% of them lived in urban areas. This may have indirectly affected the survey results because houses/flats situated in the city centre usually have poor access to green areas (parks, squares, forests, etc.) and people living in a relationship and having children frequently experience a shortage of residential space, often due to the high price of houses/flats in central locations.
The study found that the respondents recognise that the pandemic had an effect on their preferences regarding the characteristics of properties and their location/surroundings. COVID-19 changed their perception, as the lockdown forced everybody to operate under restricted lockdown conditions. The questionnaire also asked the respondents about the attributes of the surrounding environment of a property (external factors) which were important before the COVID-19 pandemic and how they changed during the pandemic. Attention was also drawn to the residential issue (internal factors) and its physical features.
Regarding the external factors, the respondents indicated that 15 out of 23 attributes concerning the residential location had become less important to them, while 8 attributes had gained importance (see Figure 4).
In the studied population, the greatest differences were noted for the perception of attribute E5, i.e., easy access to public transport or a road. In total, 9% fewer respondents indicated that this attribute was less important to them. The interest also decreased in the following features: [E10]—sentimental attachment to the neighbourhood (according to 7% of the respondents); [E7]—close proximity to school/kindergarten; [E9]—type of development; and [E21]—traffic intensity in the neighbourhood (a difference of 3.5%). Certain attributes gained in importance in the COVID-19 pandemic era. These included: [E4]—lots of greenery and squares in the vicinity of the place of residence; [E13]—proximity to a primary healthcare centre (outpatient clinic/hospital); [E16]—access to outdoor leisure and sports facilities; and [E22]—dispersed residential development.
There were noticeable differences in the perception of certain external attributes by women and men (see: Figure 5) and among age groups (see: Figure 6). For example, during the COVID-19 pandemic, access to public means of transport became less important for women [E5], while for men, it became more important than before the pandemic. Similarly, the attributes of access to medical care facilities [E13], proximity to school/kindergarten [E7], and noise levels in the area [E21] were also rated differently.
As regards the age groups, certain attributes also had different dynamics. For example, the feature E4 (greenery in the vicinity of the place of residence) was important for age groups of 25–54 years, E16 (access to leisure and sports facilities) was not important for people over 45 years of age, while E22 (dispersed development) was not important for the age group of over 55 years.
The statistical significance of the investigated differences in the perception of the external factors before and after the COVID-19 pandemic (for the entire population) was examined using the χ2 test (chi-squared test) at a significance level α < 0.10 (see Table 3). The differences in the perception of feature [E5], i.e., a reduction in the importance of the access to public transport means, and [E13], i.e., an increase in the importance of the proximity to a primary healthcare centre, are statistically significant.
Regarding the internal factors (for the entire population), ten attributes gained importance, while seven became less important. Interest increased in the following aspects (see Figure 5): access to broadband Internet [I9] (by 28%); the number of rooms [I2] (by 14.5%); the presence of additional rooms [I8] (by 14%); brightness of rooms [I10] (by 7%); access to digital platforms [I14] (by 9.5%); attractiveness of the view from the window [I11] (by 7%); good thermal/acoustic insulation of the building [I12/I13] (by 2.5% and 5%, respectively); and energy-efficient equipment [I15]. In the COVID-19 era, the following features became less important: the appearance of the building [I3], the technology of building construction [I4], the building location zone [I5] (within the boundaries of a district/housing estate), the technical condition of a flat/house [I6], the arrangement of rooms [I7], the running costs related to the flat/house [I16], and the individual/special characteristics of the flat [I17] (see Figure 7).
Similar to the external factors, there were noticeable differences in the perception of certain attributes of flats/houses according to gender or the age group. The effect of COVID-19 on the arrangement of rooms in the flat/house [I7] and the running cost of the flat/house [I16] was rated differently by women and men (see: Figure 8). The women believed that the arrangement of rooms in the flat/house should be different, while the men claimed that it had no effect. However, the men began to recognise the importance of rent, which was less important before the pandemic [I16].
The respondents’ responses broken down by age groups indicated that there were noticeable differences in the perception of the flat’s floor area [I1], the building location zone [I5], technical condition of the building [I6], the arrangement of rooms in the house/flat [I7], the brightness of rooms [I10], good thermal/acoustic insulation [I12/13], and the running costs per house/flat [I16]. For example, for people over 55 years of age, the flat’s floor area [I1] in the pandemic era and the brightness of rooms [I10] were not very important, while the technical condition of the building [I6] for the groups of 35–54 became more important (see: Figure 9).
Statistically significant differences in the change of the perception of internal factors (for the entire population), examined using the χ2 test (Chi-squared test) at a significance level α < 0.10, were found for six attributes (described by the symbols I1, I2, I8, I9, I14, and I17, see Table 3).
Analysis of the respondents’ opinions on the level of satisfaction with the location of the current place of residents (external factors) and with the physical features (internal factors) of the flat/house (see Figure 10) showed that 47.5% of the respondents were satisfied with residing in the current location (external factors), 24% had a rather indifferent attitude towards the location of the current place of residence, while 28.5% of the respondents were rather dissatisfied. In total, 45% of the respondents did not want to change their district/housing estate location, while 29% declared the need for such a change.
The physical features of the flat/house (internal factors) fully satisfied 55.5% of the respondents, 17% had no opinion on this issue, and 27.5% claimed that the COVID-19 pandemic had changed their perception of the needs to be satisfied by the flat/house. In total, 32.5% of the respondents declared a willingness to change the flat/house if their financial conditions allowed it, while 57.5% of the respondents declared that the emergence of the pandemic had not made them want to make such a change. Lastly, 10% had no opinion on this issue.

4. Discussion

The COVID-19 pandemic took the whole world by surprise. Due to the introduced restrictions (limitations or a total ban on moving around within cities or districts), people were forced to reorganise how they worked, studied, or were entertained. Satisfying these needs within one’s own flat/house became extremely difficult. Before the outbreak of the COVID-19 pandemic, people rarely worked, learned or were entertained in their flats/houses [17,18,19]. According to Messenger, Gschwind [68], before the outbreak of the pandemic, remote work (regular or occasional) was performed by 23–25% of employees in Slovenia, Austria, Germany, and France, and by 7–10% of employees in Bulgaria, Italy, and Romania). The COVID-19 pandemic completely reversed this trend. The residential space overnight became the central space in which household members were forced to satisfy all their basic needs [13,14,15]. This situation necessitated a change in expectations regarding the place of residence location and the physical features of the flat/house. The most important features (also comprising the perception of the features of the property surrounding environment) included access to primary healthcare facilities, dispersed development, and greenery and squares in the vicinity of buildings. In the respondents’ opinion, only the first feature gained in statistical importance. Because the COVID-19 pandemic threatened the health and lives of all demographic social groups, getting to a healthcare facility quickly became more important for people. Before the increase in the risk of SARS-CoV-2 infection, healthcare facilities in close proximity to the home were mainly important for pensioners and families with small children [69,70]. The pandemic changed the significance of these places, as it affected the entire society.
Maintaining a healthy environment during the isolation, when all functions were concentrated in flats/houses, resulted in the need to provide access to more than just four walls and the roof [71]. For this reason, dispersed residential buildings and the greenery around them became valuable. No possibility of moving around in such spaces, and the ban on entering parks and forests [72] (during the first phase of the pandemic in Poland, such a ban was introduced) highlighted the importance of a substitute for a free, green space in the vicinity of the place of residence [73]. According to research, contact with nature raises the happiness hormone levels in humans, which becomes particularly important during a pandemic [74].
In the respondents’ opinion, the COVID-19 pandemic changed the significance and importance of the attribute linked to the ease of access to public transport (E5). Since the pandemic necessitated working, learning, and studying and being entertained online in the place of residence, people stopped using public transport on a daily basis. It also became somewhat dangerous, as many people crammed within the small space or a bus or tram increased the risk of infection. People started to use means of transport that allowed them to move around alone or in a small group. During the initial phase of the pandemic, bicycles, electric scooters, mopeds, etc. [75,76] declined in popularity, yet significantly increased in popularity during the subsequent phases, when the bans on moving around in open spaces were removed.
In the respondents’ opinion, the perception of certain physical features of flats/houses (internal factors) changed as well. Attributes that had previously been of little importance took on greater significance. The most important difference indicated by the respondents was good access to broadband Internet (I9). Such a connection is made via copper telecommunication cables or optical fibre cables [77]. Before the pandemic, this feature was of little importance, as the Internet was mainly used outside the home: at work and in school via a mobile connection. The transfer of these functions to the flat/house necessitated good access to the Internet, which could only be offered by broadband Internet. The respondents also indicated the greater importance, during the pandemic era, of the flat’s floor area (I1), the number of rooms (I2), the presence of additional rooms (I8), and access to digital platforms (I14).
The first three features are related to the need to perform many functions simultaneously in a flat/house and the need for isolation. When living with other household members around the clock, every human feels the need to perform certain activities in isolation. Meetings or discussions held by employees or schoolchildren require isolation as they generate noise. Many smaller spaces divided by walls limit the spread of noise, which is why the respondents indicated that the number of rooms was more important in the pandemic era than the floor area of the flat/house.
Open spaces with separated zones for cooking, eating meals, resting, or watching TV were very popular in Poland prior to the pandemic. In this regard, can the pandemic contribute to changes in the way zones are separated in flats/houses?
The property market responds very slowly to social needs, mainly due to the length of the investment cycle. Due to the acquisition of land intended for development, the preparation of a building permit design and the acquisition of the relevant administrative, and legal documents related to building permits and funding sources, the duration of a construction project can last from 2 to 4 years, depending on its scale. The reflection of social needs in the aspect of the features of the property’s surrounding environment and the physical features of the flat/house are perhaps more noticeable in the longer term. Did the pandemic change construction patterns? Should today’s investor, a purchaser of a flat/house, or a tenant always consider the possibility of another threat (a COVID-level pandemic) being likely to happen in the short term?
It is well known that environmental pollution poses a hazard to human existence, and the rapidly advancing climate change is also not encouraging [78], while the lessons learned from the current COVID-19 pandemic leave people fearing that the situation could repeat. Therefore, should new housing investments take these concerns into account? The literature offers solutions that promote residential properties with useful features in the pandemic era. Their task is to maintain the autonomy of both the household and the individual [35,59,60,78,79].
These solutions involve merging the shared spaces with personal spaces in residential buildings and are a response to the isolation which affected all humans during the pandemic. The proposed solutions concern solutions in residential buildings that include additional rooms for shared use. These rooms could be made available via a room rental system and provide additional space for teleworking [8]. Such promotion of the adaptation of space to various spatial and temporal needs at the scale of a building would be beneficial in terms of mitigating the conflicts that arise between functions at the flat scale (irrespective of whether they are basic, e.g., work performed by adults, children’s learning, or expressing oneself, e.g., resting). Moreover, it was also proposed to design private outdoor spaces, visually combined, such as balconies, that could satisfy the need for safe interaction with the surrounding community (visual or aural, e.g., from a balcony to a balcony, from the street to a balcony), while providing the need for “social expression” [80]. Taking these needs into account would also be of great importance to the health and well-being of the elderly people who live alone and are under threat of spatial and social isolation [81]. The presented proposals draw on the construction patterns promoted in Poland during the People’s Republic (the communist era). The spaces shared by all tenants of a building (e.g., laundries, drying rooms, rest and refreshment rooms, etc.) and the entrances to flats from the so-called gallery were intended to enhance the integration of tenants [81]. Given the existing circumstances, such solutions could fulfil their role.
In conclusion, when designing new flats, it is important to take advantage of the assets offered by the environment. As a result, the flats can offer better living conditions that promote residents’ health and well-being. Designers should prioritise certain recommendations [40], e.g., (1) the view from the windows should provide spatial diversity as well as privacy [82,83]; (2) diversity in terms of visual an thermal comfort, and adaptive floor plans to facilitate work, education, exercising, cooking, socialising, and on-screen entertainment [84]; (3) the arrangement of rooms in the flat, which can be adjusted to different uses and support the changing role of the house; (4) control of light, temperature, air, and noise in the rooms, adjusted to the human circadian rhythm [85,86]; (5) designing spaces that support positive social interactions—shared terraces, outdoor yards, and public lounges that support physical distance [87]; (6) possibility for the use of natural ventilation and thermal comfort at home; (7) connection with nature—outdoor public spaces need to be sufficiently large to contain buffer zones which will allow people to feel comfortable in social situations and which enable physical distance to be kept; (8) appropriate sizes and arrangements of units, which support the physical distance of at least two metres between individuals.
The study presented in this article is very important for creating future housing policies. The results can support the decision-making processes of city and commune authorities as well as investors planning to implement development projects. The adjustment to new construction determinants, taking into account the pandemic conditions, can also have side effects. The adjustment of the existing houses/premises to satisfy the pandemic circumstances requires interfering with the building structure. This is not always safe (determined by the building design and construction technology) or feasible. The installation of additional telecommunication infrastructure, windows, partition walls, etc., requires the owners to have financial resources and interfere with the building structure. Consequently, buildings with a chaotic arrangement of windows (different colours, sizes, etc.) and numerous small spaces within the house/flat can be constructed.

5. Conclusions and Research Prospects

The study aimed to investigate the respondents’ opinions on how the COVID-19 pandemic changed the perception of locational features and physical features of the flat/house. The study was conducted using an online questionnaire. A chi-squared test was performed, indicating whether the noted differences in perception were statistically significant. The study confirmed that these preferences had changed. Similarly, as indicated by the results of studies into preferences conducted among other societies, what became more important mainly included the number of rooms and the access to other additional rooms, broadband Internet, and digital platforms. What distinguished the Polish citizens’ preferences was that access to public transport was no longer as important as before the pandemic. The flat/house location used to be the main determinant that affected the demand for properties, yet the COVID-19 pandemic changed this perception. Will the residential property market respond to the new needs? This remains to be seen in the coming years. The research prospects of the author include more detailed studies and analyses concerning the effect of the COVID-19 pandemic on the property market, with a particular focus on housing location and social needs. The proposed methodology can particularly be applied in market analyses used by investors and the authorities developing housing policy.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Not applicable.

Conflicts of Interest

The author declares no conflict of interest.

References

  1. World Health Organization. Available online: https://covid19.who.int/ (accessed on 2 February 2022).
  2. Dąbek, A. W 2021 r. Zmarło w Polsce Ponad pół Miliona Osób. Najtragiczniejszy Rok od Czasów II Wojny Światowej. Available online: https://www.medonet.pl/koronawirus/koronawirus-w-polsce,2021-to-najtragiczniejszy-rok-od-zakonczenia-ii-wojny-swiatowej-,artykul,06476866.html (accessed on 15 February 2022).
  3. Health at a Glance 2021. OECD Indicators. Available online: https://www.oecd-ilibrary.org/docserver/ae3016b9-en.pdf?expires=1644919005&id=id&accname=guest&checksum=04BBBFB5FF0219CBFA6DE8F712EB0DF2 (accessed on 20 February 2022).
  4. Epidemia Coronawirusa. Available online: https://epidemia-koronawirus.pl/ (accessed on 20 January 2022).
  5. Bettaieb, D.M.; Alsabban, R. Emerging Living Styles Post-COVID-19: Housing Flexibility as a Fundamental Requirement for Apartments in Jeddah. Archnet-IJAR 2021, 15, 28–50. [Google Scholar] [CrossRef]
  6. Cuerdo-Vilches, T.; Navas-Martín, M.Á.; Oteiza, I. A Mixed Approach on Resilience of Spanish Dwellings and Households during COVID-19 Lockdown. Sustainability 2020, 12, 10198. [Google Scholar] [CrossRef]
  7. Gwiazdzinski, L. L’inversion des Saturations ou la Possibilité d’une Autre Ville. Libération. 2020. Available online: https://www.liberation.fr/debats/2020/11/29/l-inversion-des-saturations-ou-la-possibilite-d-une-autre-ville_1806700/ (accessed on 10 February 2022).
  8. Kaufmann, V. Lockdown. In Proceedings of the Mobile Lives Forum, 11–13 June 2021; Available online: https://en.forumviesmobiles.org/marks/lockdown-13664%0AAll (accessed on 20 January 2022).
  9. Nanda, A.; Thanos, S.; Valtonen, E.; Xu, Y.; Zandieh, R. Forced homeward: The COVID-19 implications for housing. Town Plan. Rev. 2021, 92, 25–31. [Google Scholar] [CrossRef]
  10. Sharifi, A.; Khavarian-Garmsir, A.R. The COVID-19 pandemic: Impacts on cities and major lessons for urban planning, design, and management. Sci. Total Environ. 2020, 749, 142391. [Google Scholar] [CrossRef]
  11. Jamshidi, S.; Baniasad, M.; Niyogi, D. Global to USA County Scale Analysis of Weather, Urban Density, Mobility, Homestay, and Mask Use on COVID-19. Int. J. Environ. Res. Public Health 2020, 17, 7847. [Google Scholar] [CrossRef] [PubMed]
  12. Cohn, D.V. About a Fifth of U.S. Adults Moved Due to COVID-19 or Know Someone Who Did. Available online: https://www.pewresearch.org/fact-tank/2020/07/06/about-a-fifth-of-u-s-adults-moved-due-to-covid-19-or-know-someone-who-did/ (accessed on 15 June 2021).
  13. McLeod, S. Maslow’s Hierarchy of Needs. 2014. Available online: http://www.simplypsychology.org/maslow.html (accessed on 20 February 2022).
  14. Maslow, A.H. Higher and Lower needs. J. Psychol. 1948, 25, 433–436. [Google Scholar] [CrossRef]
  15. PMHNP. Maslow’s Hierarchy of Needs. Available online: https://commons.wikimedia.org/wiki/File:Maslow%27s_Hierarchy_of_Needs2.svg (accessed on 11 March 2021).
  16. Zdrowie 21. Zdrowie Dla Wszystkich W XXI Wieku. Podstawowe Założenia Polityki Zdrowia dla Wszystkich w Regionie Europejskim WHO; Światowa Organizacja Zdrowia. Biuro Regionu Europejskiego: Copenhagen, Denmark. Available online: https://www.parpa.pl/index.php/alkohol-w-europie/zdrowie-21-zdrowie-dla-wszystkich-who (accessed on 3 February 2022).
  17. Hartig, T.; Kylin, C.; Johansson, G. The Telework Tradeoff: Stress Mitigation vs. Constrained Restoration. Appl. Psychol. 2007, 56, 231–253. [Google Scholar] [CrossRef]
  18. Hartig, T.; Lawrence, R.J. Introduction: The Residential Context of Health. J. Soc. Issues 2003, 59, 455–473. [Google Scholar] [CrossRef]
  19. Amerio, A.; Brambilla, A.; Morganti, A.; Aguglia, A.; Bianchi, D.; Santi, F.; Costantini, L.; Odone, A.; Costanza, A.; Signorelli, C.; et al. COVID-19 Lockdown: Housing Built Environment’s Effects on Mental Health. Int. J. Environ. Res. Public Health 2020, 17, 5973. [Google Scholar] [CrossRef]
  20. Clair, A. Homes, health, and COVID-19: How poor housing adds to the hardship of the coronavirus crisis. Soc. Mark. Found. 2020. Available online: https://www.smf.co.uk/commentary_podcasts/homes-health-and-covid-19-how-poor-housing-adds-to-the-hardship-of-the-coronavirus-crisis/ (accessed on 12 December 2021).
  21. Tinson, A.; Clair, A. Better housing is crucial for our health and the COVID-19 recovery. Health Found. 2020. Available online: https://www.health.org.uk/publications/long-reads/better-housing-is-crucial-for-our-health-and-the-covid-19-recovery (accessed on 20 December 2021).
  22. Hansmann, R.; Fritz, L.; Pagani, A.; Clément, G.; Binder, C.R. Activities, housing situation, gender and further factors influencing psychological strain experienced during the first COVID-19 lockdown in Switzerland. Front. Psychol. 2021, 12, 4300. [Google Scholar] [CrossRef]
  23. Weintraub, E. What Location, Location, Location Means in Real Estate Why Location Needs to be Repeated Three Times, Updated 28 January 2017. Available online: https://www.tampabgcc.com/files/What%20Location.pdf (accessed on 20 January 2022).
  24. Anundsen, A.K.; Bjørland, C.; Hagen, M. Location, location, location!: A quality-adjusted rent index for the Oslo office market. J. Eur. Real Estate Res. 2021, ahead-of-print. [Google Scholar] [CrossRef]
  25. Schirmer, P.M.; Van Eggermond, M.; Axhausen, K.W. The role of location in residential location choice models: A review of literature. J. Transp. Land Use 2014, 7, 3–21. [Google Scholar] [CrossRef]
  26. Hofman, E.; Halman, J.I.; Ion, R.A. Variation in housing design: Identifying customer preferences. Hous. Stud. 2006, 21, 929–943. [Google Scholar] [CrossRef]
  27. Hapsariniaty, A.W. Analisis Perbandingan Preferensi Masyarakat Golongan Menengah Dalam Memilih Hunian pada Gated Communities di Kawasan Kota dan Pinggiran Kota Bandung: Studi KasusKec. Kiara Condong dan Kec. Parongpong (Comparative Analysis of Middle-Class’ Preferences Choosing to Live in Gated Communities in the Urban and Suburban area of Bandung: Case Study Kec. Kiara Condong and Kec. Parongpong). Master’s Thesis, School of Architecture, Planning, and Policy Development, Institut Teknologi Bandung, Bandung, India, 2013. [Google Scholar]
  28. Kain, J.F.; Quigley, J.M. Measuring the Value of Housing Quality. J. Am. Stat. Assoc. 1970, 65, 532–548. [Google Scholar] [CrossRef]
  29. Rosen, S. Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition. J. Political Econ. 1974, 82, 34–55. [Google Scholar] [CrossRef]
  30. Jui, J.J.; Imran Molla, M.M.; Bari, B.S.; Rashid, M.; Hasan, M.J. Flat Price Prediction Using Linear and Random Forest Regression Based on Machine Learning Techniques. In Embracing Industry 4.0: Lecture Notes in Electrical Engineering; Mohd Razman, M., Mat Jizat, J., Mat Yahya, N., Myung, H., Zainal Abidin, A., Abdul Karim, M., Eds.; Springer: Berlin, Germany, 2020; pp. 205–217. [Google Scholar] [CrossRef]
  31. Pradana, D.P.; Rahadi, R.A. Analysis of Housing Affordability by Generation Y Based on Price to Income Ratio in Jakarta Region. Am. Int. J. Bus. Manag. 2020, 3, 59–67. [Google Scholar]
  32. Rahadi, R.; Wiryono, S.K.; Koesrindartoto, D.P.; Syamwil, I.B. Relationship between Consumer Preferences and Value Propositions: A Study of Residential Product. AcE-Bs 2012 Bangk. Procedia—Soc. Behav. Sci. 2012, 50, 865–874. [Google Scholar] [CrossRef] [Green Version]
  33. Mitchell, W.J. E-Topia-Urban Life, Jim—But Not as We Know It; MIT Press: Cambridge, MA, USA, 1999. [Google Scholar]
  34. Kang, B.; Won, J.; Kim, E.J. COVID-19 Impact on Residential Preferences in the Early-Stage Outbreak in South Korea. Int. J. Environ. Res. Public Health 2021, 18, 11207. [Google Scholar] [CrossRef]
  35. Pagani, A.; Hansmann, R.; Kaufmann, V.; Binder, C.R. How the first wave of COVID-19 in Switzerland affected residential preferences. Cities Health 2021, ahead-of-print. [Google Scholar] [CrossRef]
  36. Ng, C.F. Teleworker’s home office: An extension of corporate office? Facilities 2010, 28, 137–155. [Google Scholar] [CrossRef]
  37. Rosa-Jiménez, C.; Jaime-Segura, C. Living Space Needs of Small Housing in the Post-Pandemic Era: Malaga as a case study. J. Contemp. Urban Aff. 2022, 6, 51–58. [Google Scholar] [CrossRef]
  38. Ahmadi, M.; Helms, M.M.; Ross, T.J. Technological developments: Shaping the telecommuting work environment of the future. Facilities 2000, 18, 83–89. [Google Scholar] [CrossRef]
  39. Porrit, M.; Campbell, D. Student Housing in the COVID-19 Era. Build. Des. Constr. 2020. Available online: https://www.proquest.com/trade-journals/student-housing-covid-19-era/docview/2435774863/se-2?accountid=14568 (accessed on 20 December 2021).
  40. Peters, T.; Halleran, A. How our homes impact our health: Using a COVID-19 informed approach to examine urban apartment housing. Archnet-IJAR 2021, 15, 10–27. [Google Scholar] [CrossRef]
  41. Bereitschaft, B.; Scheller, D. How Might the COVID-19 Pandemic Affect 21st Century Urban Design, Planning, and Development? Urban Sci. 2020, 4, 56. [Google Scholar] [CrossRef]
  42. Asfour, O.S. Housing Experience in Gated Communities in the Time of Pandemics: Lessons Learned from COVID-19. Int. J. Environ. Res. Public Health 2022, 19, 1925. [Google Scholar] [CrossRef]
  43. Giacobbe, A. How the COVID-19 Pandemic will Change the Built Environment. Archit. Dig. 2020. Available online: https://www.architecturaldigest.com/story/covid-19-design (accessed on 20 January 2022).
  44. Haaland, C.; van Den Bosch, C.K. Challenges and Strategies for Urban Green-space Planning in Cities Undergoing Densification: A Review. Urban For. Urban Green. 2015, 14, 760–771. [Google Scholar] [CrossRef]
  45. Noszczyk, T.; Gorzelany, J.; Kukulska-Kozieł, A.; Hernik, J. The impact of the COVID-19 pandemic on the importance of urban green spaces to the public. Land Use Policy 2022, 113, 105925. [Google Scholar] [CrossRef]
  46. Marona, B.; Tomal, M. The COVID-19 pandemic impact upon housing brokers’ workflow and their clients’ attitude: Realestate market in Krakow. Entrep. Bus. Econ. Rev. 2020, 8, 221–232. [Google Scholar] [CrossRef]
  47. De Toro, P.; Nocca, F.; Buglione, F. Real Estate Market Responses to the COVID-19 Crisis: Which Prospects for the Metropolitan Area of Naples (Italy)? Urban Sci. 2021, 5, 23. [Google Scholar] [CrossRef]
  48. JLL Research & Strategy. COVID-19: Global Real Estate Implications, Paper II; Global Research: Hillsborough, UK, 20 April 2020; Available online: https://www.jll.it/it/tendenze-e-ricerca/research/covid-19-global-real-estate-implications (accessed on 20 January 2022).
  49. Del Giudice, V.; De Paola, P.; Del Giudice, F.P. COVID-19 infects real estate markets: Short and mid-run effects on housing prices in Campania region (Italy). Soc. Sci. 2020, 9, 114. [Google Scholar] [CrossRef]
  50. Freedman, H.I. Deterministic Mathematical Models in Population Biology; Marcel Dekker: New York, NY, USA, 1980. [Google Scholar]
  51. Fred, B.; Castillo-Chavez, C. Mathematical Models in Population Biology and Epidemiology; Springer: New York, NY, USA, 2012; ISBN 978-1-4757-3516-1. [Google Scholar]
  52. Tajani, F.; Liddo, F.D.; Guarini, M.R.; Ranieri, R.; Anelli, D. An Assessment Methodology for the Evaluation of the Impacts of the COVID-19 Pandemic on the Italian Housing Market Demand. Buildings 2021, 11, 592. [Google Scholar] [CrossRef]
  53. Boustan, L.P.; Kahn, M.E.; Rhode, P.W.; Yanguas, M.L. The effect of natural disasters on economic activity in US counties: A century of data. J. Urban Econ. 2020, 118, 103257. [Google Scholar] [CrossRef]
  54. Nakagawa, M.; Saito, M.; Yamaga, H. Earthquake risks and land prices: Evidence from the Tokyo Metropolitan Area. Jpn. Econ. Rev. 2009, 60, 87–99. [Google Scholar] [CrossRef] [Green Version]
  55. Nakagawa, M.; Saito, M.; Yamaga, H. Earthquake Risks and Housing Rents: Evidence from the Tokyo Metropolitan Area. Reg. Sci. Urban Econ. 2007, 37, 87–99. [Google Scholar] [CrossRef] [Green Version]
  56. Del Giudice, V. Estimo e Valutazione Economica dei Progetti, Profili Metodologici e Applicazioni al Settore Immobiliare; Paolo Loffredo Iniziative Editoriali: Naples, Italy, 2015. [Google Scholar]
  57. Belasen, A.R.; Polachek, S.W. How disasters affect local labor markets: The effects of hurricanes in Florida. J. Hum. Resour. 2020, 44, 251–276. [Google Scholar] [CrossRef]
  58. Kim, S.K. The economic effects of climate change adaptation measures: Evidence from Miami-Dade County and New York City. Sustainability 2020, 12, 1097. [Google Scholar] [CrossRef] [Green Version]
  59. Tokazhanov, G.; Tleuken, A.; Guney, M.; Turkyilmaz, A.; Karaca, F. How is COVID-19 Experience Transforming Sustainability Requirements of Residential Buildings? A Review. Sustainability 2020, 12, 8732. [Google Scholar] [CrossRef]
  60. Pagani, A.; Binder, C.R. A systems perspective for residential preferences and dwellings: Housing functions and their role in Swiss residential mobility. Hous. Stud. 2021, 1–25. [Google Scholar] [CrossRef]
  61. Peters, T. Superarchitecture: Building for better health. Archit. Des. 2017, 2, 24–31. [Google Scholar] [CrossRef]
  62. Rahadi, R.A.; Saldy, D.R.; Alfita, F.; Handayani, P. Millennials residential preferences in indonesia during the COVID-19 pandemic. South-East Asia J. Contemp. Bus. Econ. Law 2021, 24, 2. Available online: https://seajbel.com/wp-content/uploads/2021/03/SEAJBEL24_548.pdf (accessed on 20 December 2021).
  63. Marusiak, M.; Palicki, S.; Strączkowski, Ł.; Roszka, W.; Szymkowiak, M. Diagnoza Potrzeb Mieszkaniowych. Interpretacja Badań Ankietowych pt. Potrzeby i Preferencje Mieszkaniowe Poznaniaków. Spółka Celowa Uniwersytetu Ekonomicznego w Poznaniu Sp. z o.o. 2015. Available online: https://bip.poznan.pl (accessed on 2 February 2022).
  64. WHO Healthy. 2016. Available online: https://www.who.int/initiatives/behealthy/healthy-diet (accessed on 22 April 2022).
  65. Act of LM, Act of Land Management 21 August 1997. Available online: https://isap.sejm.gov.pl/isap.nsf/DocDetails.xsp?id=wdu19971150741 (accessed on 22 April 2022).
  66. Red Book Global Standards. Available online: www.https://www.rics.org/en-za/upholding-professional-standards/sector-standards/valuation/red-book/red-book-global/ (accessed on 22 April 2022).
  67. Stupicki, R. Analiza i Prezentacja Danych Ankietowych; Wydawnictwo AWF: Wrocław, Poland, 2015; p. 86. [Google Scholar]
  68. Messenger, J.; Gschwind, L. Three Generations of Telework, New ICTs and the (R)evolution from Home Office to Virtual Office. In Proceedings of the 17th ILERA World Congress, Cape Town, South Africa, 7–11 September 2015. [Google Scholar]
  69. Dawidowicz, A.; Zysk, E.; Figurska, M.; Źróbek, S.; Kotnarowska, M. The methodology of identifying active aging places in the city. Cities 2020, 98, 102575. [Google Scholar] [CrossRef]
  70. UN-Habitat 2012. Available online: https://unhabitat.org/un-habitat-annual-report-2012 (accessed on 8 February 2022).
  71. Koronawirus. RPO: Zakazy Wchodzenia do Lasu—Bez Podstawy Prawnej. Available online: https://bip.brpo.gov.pl/pl/content/koronawirus-rpo-brak-podstawy-prawnej-zakazu-wchodzenia-do-lasu (accessed on 10 December 2021).
  72. Pineo, H.; Klonti, K.; Rutter, H.; Zimmermann, N.; Wilkinson, P.; Davies, M. Urban health indicator tools of the physical environment: A systematic review. J. Urban Health 2017, 95, 613–646. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  73. Shaheen, L.; All Ibrahim, M.A. Smart happy city. Sustain. City 2021, 253, 527–537. [Google Scholar] [CrossRef]
  74. Li, H.; Zhang, Y.; Zhu, M.; Ren, G. Impacts of COVID-19 on the usage of public bicycle share in London. Transp. Res. Part A Policy Pract. 2021, 150, 140–155. [Google Scholar] [CrossRef]
  75. Fenu, N.; Dicaar-Sardarch, U.U. Bicycle and urban design. A lesson from COVID-19. The City Challenges And External Agents. Methods, Tools And Best Practices. J. Land Use Mobil. Environ. 2021, 14, 1. [Google Scholar] [CrossRef]
  76. Poradnik Orange. Available online: https://www.orange.pl/poradnik/twoj-internet/internet-szerokopasmowy-co-to-znaczy/ (accessed on 20 February 2022).
  77. Kardaś, A. Naukowców Niepokoi Niezwykle Szybkie Tempo Zmian Klimatu. 2018. Available online: https://www.teraz-srodowisko.pl/aktualnosci/naukowcow-niepokoi-niezwykle-szybkie-tempo-zmian-klimatu-5856.html (accessed on 22 February 2022).
  78. Blunt, A.; Dowling, R. Home; Routledge: New York, NY, USA, 2006. [Google Scholar]
  79. Lawrence, R.J. Health and Housing. In International Encyclopedia of Housing and Home; Smith, S., Ed.; Elsevier Ltd.: Amsterdam, The Netherlands, 2012; pp. 323–331. [Google Scholar] [CrossRef]
  80. Lewoc, M. Architektura i Urbanistyka w PRL—Co Się Udało, a co Niekoniecznie? 2019. Available online: https://www.morizon.pl/blog/architektura-i-urbanistyka-w-prl/ (accessed on 22 February 2022).
  81. Grigoriadou, E.T. The urban balcony as the new public space for well-being in times of social distancing. Cities Health 2020, 1–4. [Google Scholar] [CrossRef]
  82. Ribeiro, C.; Ramos, N.M.M.; Flores-Colen, I. A review of balcony impacts on the indoor environmental quality of dwellings. Sustainability 2020, 12, 6453. [Google Scholar] [CrossRef]
  83. Race, C. Triple Pane Window Benefits. 2019. Available online: https://craigrace.com/products-andmaterials-triple-pane-window/ (accessed on 25 February 2022).
  84. Kesik, T.; O’Brien, L.; Peters, T. Enhancing the Livability and Resilience of Multi-Unit Residential Buildings: MURB Design Guide, Version 2.0. 2019. Available online: https://www.bchousing.org/publications/MURB-Design-Guide-V2.pdf (accessed on 20 January 2022).
  85. Torrington, J.M.; Tregenza, P.R. Lighting for people with dementia. Lighting Res. Technol. 2007, 39, 81–97. [Google Scholar] [CrossRef]
  86. Veitch, J.A.; Galasiu, A.D. The Physiological and Psychological Effects of Windows, Daylight, and View at Home: Review and Research Agenda; National Research Council Canada: Ottawa, ON, Canada, 2012. [Google Scholar] [CrossRef]
  87. Maiztegui, B. Green balconies: Gardens with altitude. ArchDaily. 2020. Available online: https://www.archdaily.com/937886/green-balconies-gardens-with-altitude?ad_source5sea (accessed on 20 February 2022).
Figure 1. Map indicating the number of COVID-19 infections worldwide and in Poland (by voivodeships). Source: [1,4].
Figure 1. Map indicating the number of COVID-19 infections worldwide and in Poland (by voivodeships). Source: [1,4].
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Figure 2. Maslow’s hierarchy of needs. Source: [13,14,15].
Figure 2. Maslow’s hierarchy of needs. Source: [13,14,15].
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Figure 3. The study design.
Figure 3. The study design.
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Figure 4. Changes in preferences in the residential location attributes after two years of COVID-19. Source: own study.
Figure 4. Changes in preferences in the residential location attributes after two years of COVID-19. Source: own study.
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Figure 5. Differences in the perception of external factors, broken down by gender. Source: own study.
Figure 5. Differences in the perception of external factors, broken down by gender. Source: own study.
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Figure 6. Differences in the perception of external factors, broken down by age groups. Source: own study.
Figure 6. Differences in the perception of external factors, broken down by age groups. Source: own study.
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Figure 7. A change in preferences in the housing type attributes after two years of COVID-19. Source: own study.
Figure 7. A change in preferences in the housing type attributes after two years of COVID-19. Source: own study.
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Figure 8. Differences in the perception of internal factors, broken down by gender. Source: own study.
Figure 8. Differences in the perception of internal factors, broken down by gender. Source: own study.
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Figure 9. Differences in the perception of internal factors, broken down by age groups. Source: own study.
Figure 9. Differences in the perception of internal factors, broken down by age groups. Source: own study.
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Figure 10. The level of satisfaction and the declaration of willingness to change the current residential location or housing type. Source: own study.
Figure 10. The level of satisfaction and the declaration of willingness to change the current residential location or housing type. Source: own study.
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Table 1. Test sample description.
Table 1. Test sample description.
Socio-Demographic Variablesn(%)
Sexman 8442.0
woman11557.5
no response10.5
Age group18–245025.0
25–344824.0
35–444924.5
45–543819.0
55–64115.5
above 6542.0
Employment statusemployee/worker15979.5
student/schoolchild4020.0
non-working10.5
Educationprimary/vocational10.5
secondary5628.0
higher14371.5
Marital statussingle4723.5
single/child/children42.0
in a relationship/no children6934.5
in a relationship/with children8040.0
Place of residence region (voivodeship)Kujawsko-Pomorskie105.0
Dolnośląskie42.0
Lubelskie42.0
Lubuskie31.5
Łódzkie73.5
Małopolskie126.0
Mazowieckie2613.0
Opolskie42.0
Podlaskie42.0
Podkarpackie2914.5
Pomorskie105.0
Śląskie63.0
Świętokrzyskie42.0
Warmińsko-Mazurskie3417.0
Wielkopolskie3316.5
Zachodniopomorskie126.0
Characteristics of the place of residence locationcity9547.5
urban periphery5929.5
suburban area2311.5
village73.5
rural periphery (dispersed mode of settlement)168.0
Housing typea rented flat 178.5
flat/1 room157.5
flat/2 rooms4321.5
flat/3 rooms4623.0
flat/4 rooms and more136.5
terraced house73.5
semi-detached house94.5
detached house5226.0
other42.0
Source: own study.
Table 2. External factors of location and internal factors of the flat/house.
Table 2. External factors of location and internal factors of the flat/house.
SymbolFactor Description
E1close proximity to the workplace
E2trendy location (prestige of the place)
E3easy access to small service facilities (greengrocer’s, grocer’s, chemist’s)
E4lots of greenery, squares, lawns
E5easy access to public transport (tram/bus/train)
E6close proximity to entertainment facilities (restaurants, pubs, etc.)
E7close proximity to school/kindergarten
E8safety of the neighbourhood/district
E9type of development
E10sentimental attachment to the neighbourhood
E11friends’/family members’ opinion on the location of the city/village/district
E12information on the planned development of the neighbourhood (investments)
E13proximity to a primary healthcare centre (outpatient clinic)
E14access to supermarket/hypermarket
E15access to parking spaces
E16access to leisure and sports facilities (e.g., football pitches)
E17appearance/aesthetics of the surrounding buildings
E18proximity to playgrounds, outdoor gyms, skateparks, etc.
E19accessibility of landscape architecture (benches, rubbish bins, fountains, monuments)
E20the condition of pavements, curbs, driveways, roadways
E21noise levels in the area
E22dispersed development
E23other
I1floor area of the flat
I2number of rooms
I3appearance/aesthetics of the building/façade
I4building construction technology (quality, lifespan)
I5building location (zone, district, etc.)
I6technical condition of the room/flat/house (utility systems, walls, floors, windows)
I7arrangement of rooms in the flat/house
I8presence of additional rooms (balcony, loggia, winter garden, shed, etc.)
I9good access to broadband Internet
I10brightness of rooms
I11the attractiveness of the view from the window
I12good thermal insulation of the building/flat/residential unit
I13good acoustic insulation of the building/flat/residential unit
I14access to digital platforms
I15energy-efficient equipment
I16running cost of the flat/apartment/house/residential unit
I17other
Source: own study on [2,26,27,31,32,59,62,63,64,65,66].
Table 3. Post-COVID-19 changes in external and internal factors (for the entire population).
Table 3. Post-COVID-19 changes in external and internal factors (for the entire population).
DescriptionFactor SymbolDifferences (%)t
close proximity to the workplaceE1−2.51.58 *
trendy location (prestige of the place)E2−1.51.22 *
easy access to small service facilities (greengrocer’s, grocer’s, chemist’s)E3−1.01.0 *
lots of greenery, squares, lawnsE46.02.46 *
easy access to public transport (tram/bus/train)E5-9.03.0 **
close proximity to entertainment facilities (restaurants, pubs, etc.)E6−1.51.22 *
close proximity to school/kindergartenE7−3.51.87 *
safety of the neighbourhood/districtE8−1.01.0 *
type of developmentE9−3.51.87 *
sentimental attachment to the neighbourhoodE10−7.02.65 *
friends’/family members’ opinion on the location of the city/village/districtE112.51.58 *
information on the planned development of the neighbourhood (investments)E122.51.58 *
proximity to a primary healthcare centre (outpatient clinic)E138.02.83 **
access to supermarket/hypermarketE14−1.01.0 *
access to parking spacesE15−1.01.0 *
access to leisure and sports facilities (e.g., football pitches)E163.51.87 *
appearance/aesthetics of the surrounding buildingsE17−1.01.0 *
proximity to playgrounds, outdoor gyms, skateparks, etc.E18−1.01.0 *
accessibility of landscape architecture (benches, rubbish bins, fountains, monuments)E191.51.22 *
the condition of pavements, curbs, driveways, roadwaysE20−1.51.22 *
noise levels in the areaE21-3.51.87 *
dispersed developmentE226.52.55 *
otherE232.01.41 *
flat’s floor area I112.03.46 **
number of rooms I214.53.80 **
appearance/aesthetics of the building/façadeI3−6.52.56 *
building construction technology (quality, lifespan)I4−3.01.73 *
building location (zone, district, etc.)I5−4.52.12 *
technical condition of the room/flat/house (utility systems, walls, floors, windows)I6−2.01.41 *
room arrangementI7−1.01.0 *
presence of additional rooms (balcony, loggia, winter garden, shed, etc.)I814.03.74 **
good access to broadband InternetI928.05.29 *
brightness of roomsI107.02.65 *
the attractiveness of the view from the windowI117.02.65 *
good thermal insulation of the building/flat/residential unitI125.02.24 *
good acoustic insulation of the building/flat/residential unitI132.51.58 *
access to digital platformsI149.53.08 **
energy-efficient equipmentI153.51.87 *
running cost of the flat/apartment/house/residential unitI16−4.52.12 *
otherI17−8.52.92 **
df1
p < 0.1 **2.7055
p < 0.05 *3.8415
* confidence interval 0.90; ** confidence interval 0.95.
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Kocur-Bera, K. Impact of the COVID-19 Pandemic Era on Residential Property Features: Pilot Studies in Poland. Int. J. Environ. Res. Public Health 2022, 19, 5665. https://doi.org/10.3390/ijerph19095665

AMA Style

Kocur-Bera K. Impact of the COVID-19 Pandemic Era on Residential Property Features: Pilot Studies in Poland. International Journal of Environmental Research and Public Health. 2022; 19(9):5665. https://doi.org/10.3390/ijerph19095665

Chicago/Turabian Style

Kocur-Bera, Katarzyna. 2022. "Impact of the COVID-19 Pandemic Era on Residential Property Features: Pilot Studies in Poland" International Journal of Environmental Research and Public Health 19, no. 9: 5665. https://doi.org/10.3390/ijerph19095665

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