Next Article in Journal
From Theory to Practice: Can LEAP/FAO Biodiversity Assessment Guidelines Be a Useful Tool for Knowing the Environmental Status of Livestock Systems?
Previous Article in Journal
The Business Model of Digital Platforms for the Sharing Economy: Intensive Case Study Methodology for Rover.com Pet Boarding Platform
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

The Effect of Tourist-to-Tourist Interaction on Life Satisfaction: A Mediation Role of Social Connectedness

1
School of Hotel and Tourism Management, The Hong Kong Polytechnic University, Hong Kong, China
2
Zorn Architect Co., Ltd., Chiayi City 600, Taiwan, China
*
Author to whom correspondence should be addressed.
Sustainability 2022, 14(23), 16257; https://doi.org/10.3390/su142316257
Submission received: 15 November 2022 / Revised: 30 November 2022 / Accepted: 2 December 2022 / Published: 6 December 2022

Abstract

:
This study examines the general relationship between tourists’ park visits and life satisfaction. Specifically, the article focuses on relationships between verbal and nonverbal and positive and negative tourist-to-tourist interactions, social connectedness, and life satisfaction. Results show that friendly conversation has significant positive relationships with life satisfaction and social connectedness, whereas unfriendly behavior is negatively related to social connectedness. Social connectedness has a significant positive relationship with life satisfaction and plays a mediating role between tourist-to-tourist interaction and life satisfaction. By exploring several types of tourist-to-tourist interaction, this study offers insights into tourist-to-tourist interaction and life satisfaction under a pandemic context.

1. Introduction

More than half of the world’s population resides in urban areas [1]. Green parks, as a type of publicly available natural space, are considered a necessity for urban dwellers [2]. Urban parks contribute to environmental preservation, education, and outdoor recreation [3,4]. These parks make urban areas more pleasant and provide residents an enjoyable city setting. Engaging in nature-based and recreational activities also enables participants to release daily pressure and recover from fatigue [5]. People who regularly visit urban parks have been shown to exhibit greater well-being, quality of life, and life satisfaction along with less stress and anxiety [1,6]. These parks therefore play a prominent role in enhancing public health and wellness.
A substantial body of work has outlined the effects of urban park visits, including in terms of health and wellness benefits [1,7,8,9]. Scholars have used numerous measures to evaluate changes associated with park visits and then to indicate whether these impacts boost visitors’ well-being or life satisfaction. Another research stream has delineated specific advantages of park visits, such as improved physical fitness, greater happiness, lower emotional stress, and relief from mental exhaustion [5,8,10]. The present study seeks to advance understanding of park visits by uncovering the consequences of interactive factors tied to tourists’ life satisfaction.
Authors from diverse disciplines have considered tourist-to-tourist interaction (TTI) in tourism and leisure contexts [11,12,13]. Despite being abundant in marketing and consumer research, studies of customer-to-customer interaction (CCI) have only recently emerged in the tourism field—let alone for urban park visits. The power of social interaction in elevating visitors’ health and wellness remains to be determined [5]. Urban parks, as a platform for interaction, are essential for city sustainability [14]. Associated bonds and networks lead urban parks to influence residents’ sense of place and identity [14,15,16]. Scholars have mostly examined the positive impacts of park visits on individuals’ well-being [8,9]. Far less is known about the contributing factors that may bolster life satisfaction after urban park exposure. The importance of social interaction in urban park visits is addressed herein.
In sum, this study explores which aspects of tourist-to-tourist interaction contribute to life satisfaction improvements in urban parks. The research objectives are twofold: (1) to discern interactive factors that affect park visitors’ life satisfaction in accordance with tourist-to-tourist interaction theories; and (2) to test the relationships between identified factors and visitors’ life satisfaction. The proposed relationships are inspected using data from a survey of 352 randomly selected respondents who visited urban parks in Shenzhen, China, a location known as a “city in parks.” Results enhance the understanding of how tourist-to-tourist interaction during urban park visits shapes life satisfaction. This study enriches relevant literature by focusing on interactions among park visitors, a topic that has not been closely examined in work on how park visits benefit health and wellness. Finally, findings provide insight into ways to manage tourist-to-tourist interaction to maximize advantages for park visitors and urban cities.

2. Literature Review and Hypothesis Development

2.1. Literature Review

2.1.1. Contributions of Urban Park Visits to Well-Being

Parks are instrumental to psychological health. They provide opportunities for people of all ages and abilities to increase life satisfaction [17]. Urban parks represent prime neighborhood spaces and enable residents to enjoy nature and to partake in social activities. Several studies have demonstrated that urban park visits promote physical and mental health. For example, visiting these parks can improve cardiovascular and pulmonary functioning [18,19]. According to the U.S. Centers for Disease Control and Prevention, visiting a park at least three times per week can enhance one’s physiological health by 25% [20].
Pandemic-related restrictions on indoor recreation and social gatherings have transformed urban parks into a source of resilience. This trend is partly due to parks’ roles in individuals’ physical, psychological, and social well-being [21]. Park visits can reduce the risk of disease transmission and amplify social cohesion; for instance, tourist-to-tourist interaction in parks can foster participants’ perceived inclusion and integration [21]. The psychosocial benefits of urban park visits have been widely recognized as well. In addition to gaining immediate pleasure, visitors value interaction and the chance to encourage or help others [22]. This is salient in promoting emotional solidarity and fostering social cohesion among individuals over the COVID-19 times [23]. In particular, the community solidarity to confront the crisis together is required, given that the entire population is affected by the pandemic [24].
Even with growing evidence of the positive relationship between urban park visits and well-being [5], the roles of these experiences on individuals’ life satisfaction have not been thoroughly investigated. Diener and colleagues [25] proposed that future studies should explicate how certain variables affect the construct of well-being, for example, life satisfaction. Life satisfaction, referring to a holistic assessment of one’s life, is a popular metric of subjective well-being [26]. Global judgments of life satisfaction [LS]—including one’s desire to change their life and their satisfaction with their past, current, and future life—are distinct from other types of well-being. Pavot and Diener [27] developed the Satisfaction with Life Scale to measure life satisfaction in a valid and reliable manner. This study accordingly investigates how park visits shape people’s well-being during the COVID-19 pandemic based on life satisfaction.

2.1.2. Tourist-to-Tourist Interaction and Social Connectedness

The study of human social relations provides a novel lens through which to view the tourist experience. Relevant work has mainly revolved around interactions between tourists and locals and between tourists and service providers [13]. Scholars have also scrutinized host–guest relations to clarify residents’ perceptions of tourism [28,29]. Zhang and colleagues [30] discovered that tourists and locals frequently switched roles during intense interactions. Most tourists in urban parks are area residents rather than long-distance travelers. The influence of tourist-to-tourist interaction on the tourist experience underlines the importance of tourists’ relationships with one another [11,13].
The TTI concept originated from CCI, which has been widely explored in service marketing research. Many studies have addressed CCI in service encounters. For example, scholars have striven to determine ways to enhance customer satisfaction via customer management [31]. CCI can have negative or positive effects. Cai and colleagues [32] argued that one customer’s misbehavior can detract from other customers’ experiences. By contrast, CCI has been found to improve customers’ perceptions of the value of a company’s offerings [33]. Tourism consumption can span a longer period than other forms of consumption. Travelers naturally have more interaction opportunities in such cases [34]. As a result, TTI has come to be recognized as a core aspect of tourists’ engagement and sense of closeness [35].
Woosnam, Norman, and Ying [36] claimed that emotional solidarity between residents and tourists is important, and some residents reported friendship with tourists via interaction, which is an influential antecedent of emotional solidarity [37]. Cohen [38] noted that some tourists prioritize interaction with different people. Crompton [39] later added that TTI is more likely than tourist–local interaction. Interactions and affective bonds between tourists are also essential factors that shape their travel experiences [40]. Subsequent studies have examined TTI during cruise tourism, backpacking, and group tours [11,12,41]. Huang and Hsu [12] considered how TTI influenced tourists’ cruise experiences and vacation satisfaction. The authors indicated that TTI quality had a positive direct effect on these experiences and an indirect impact on vacation satisfaction. In Sørensen’s [41] study, impromptu social interactions among backpackers were conducive to the development of backpacker travel cultures. Chen and colleagues [11] more recently investigated TTI in a group tour setting. Positive TTI improved individuals’ well-being, whereas passive TTI compromised it. They also noted that tourist-to-tourist interaction and well-being were partially mediated by social bonding [11]. The relations among tourist-to-tourist interaction, social bonding (i.e., social connection or social connectedness), and life satisfaction are readily evident.
Social connectedness [SC] is a personal attribute characterized by cognitive experiences of closeness with others [42]. It has also been described as a relational structure or a cognitive schema conveying consistencies in interpersonal patterns [43]. Psychoanalytic self-psychology theory maintains that a person’s sense of social connectedness begins to form at a young age and develops throughout life [44,45]. Adults can integrate their experiences with past and present relationships in their overall sense of self, resulting in fairly stable social connectedness [43]. People with positive experiences tend to display high social connectedness in adulthood and vice versa [42,45]. Social connectedness essentially emphasizes the independent self that associates with others. This concept is a notable part of one’s sense of belonging [42,46]. Many people are interested in enhancing their SC, and travel may serve this purpose through physical encounters [46]. Interactions between tourists in urban parks are crucial to preventing social isolation, thereby heightening life satisfaction as well as one’s physical and mental well-being. The hypotheses guiding this study are drawn from the literature on tourist-to-tourist interaction, social connectedness, and life satisfaction as described in the following subsection.

2.2. Hypothesis Development

Vacationing makes people happier and hence elevates well-being and life satisfaction [47]. However, not all encounters during vacation do so. Positive TTIs foster well-being while negative TTIs diminish it [11]. Tourist-to-tourist interaction can take multiple forms. Lin and colleagues [35] outlined two types: verbal TTI and non-verbal TTI. Other taxonomies have mentioned “etiquette incidents and social incidents” [48]; “basic etiquette, travel norms, communication, assistance, and disturbances” [49]; and “etiquette breaches, interference and disputes, friendly conversation, advice and help” [50]. As disturbance, interference, and disputes may occur in both verbal and nonverbal forms, and people often justify them as an act of unfriending, the current study focuses on three categories of TTIs from low-intensity to high-intensity—etiquette incidents, friendly conversation, and unfriendly behavior. “Etiquette incidents” refer to basic etiquette and friendly non-verbal behavior; “unfriendly behavior” refers to disturbances, interference, disputes, or other annoyances. The following hypotheses are thus proposed:
H1a. 
A significant positive relationship exists between etiquette incidents and tourists’ life satisfaction.
H2a. 
A significant positive relationship exists between friendly conversation and tourists’ life satisfaction.
H3a. 
A significant negative relationship exists between unfriendly behavior and tourists’ life satisfaction.
Social connectedness is associated with one’s sense of cohesion with the social environment and their awareness of interpersonal intimacy [43,45]. It is grounded in a variety of relationship types, ranging from close relations with family or friends to more distant relations with one’s community or even strangers [51]. Tourists can realize social connectedness via physical mobility and personal encounters [46]. While urban park visitors are mostly unknown to one another, this type of recreation engenders a personal sense of connection. Productive interactions between tourists contribute to strong social connectedness [11]. A series of hypotheses are put forth accordingly:
H1b. 
A significant positive relationship exists between etiquette incidents and tourists’ social connectedness.
H2b. 
A significant positive relationship exists between friendly conversation and tourists’ social connectedness.
H3b. 
A significant negative relationship exists between unfriendly behavior and tourists’ social connectedness.
People with high social connectedness tend to enjoy supportive relationships and engage in social activities [42]. Social connectedness is a social relationship variable [52]. Social relations benefit one’s mental and physical health and contribute to overall well-being [53]. The importance of social connectedness to well-being is well documented [52,54]. This factor, whether developed through a special community or mainstream society, has been shown to reduce mental illness and increase well-being [52]. A longitudinal study confirmed that people with higher social connectedness report greater life satisfaction [55]. In line with prior findings, we speculate:
H4. 
A significant positive relationship exists between tourists’ social connectedness and life satisfaction.
Social connectedness is often framed as a mediator among social and psychological variables; for instance, it mediates the relationships between acculturation and well-being [52] and between extraversion and well-being [56]. Using data from 3318 surveys, Brown and colleagues [54] discovered that social connectedness mediated the relationship between the status and well-being of people with volunteer experience. It also mediated the relationship between TTI and well-being in a group tour context [11]. Regarding urban park visits, although tourists are rarely acquaintances, they temporarily form a relatively stable group while sharing recreational space. Park visitors’ interaction thus echoes that during a group tour. Life satisfaction is a common measure of well-being [27]. Stated formally:
H5. 
Social connectedness mediates the relationship between tourist-to-tourist interaction and tourists’ life satisfaction.
Figure 1 depicts the conceptual model underpinning this study.

3. Research Methodology

3.1. Data Collection and Sample Profile

This research was conducted in the city of Shenzhen, China, a well-known “city in parks”. The area was home to 1206 parks as of August 2020. To test the relationships among tourist-to-tourist interactions, social connectedness, and life satisfaction in this study, quantitative data were required. Data were collected using a questionnaire survey due to its high efficiency and anonymity. The validity and reliability of this data collection method have been demonstrated in other studies [11], and related authoritative scales have been developed for decades [27].
Study respondents were urban park tourists in this city, including residents and non-residents. Two authors and a research assistant were involved in approaching respondents. A field survey was conducted with pens and papers in more than ten popular urban parks in Shenzhen, such as Shenzhen Bay Park and Children’s Park. From 17 April to 6 May 2020, 180 questionnaires were collected by a random sampling strategy. As these respondents were approached face-to-face and one by one, all questionnaires were qualified and useful. Additionally, an online survey was adopted in April–May 2020 and April–May 2022. In accordance with the results of the fieldwork, the majority of online respondents approached were retirees, freelancers, employees, and students. Of another 180 questionnaires distributed online, 172 were valid. Hence, a total of 352 questionnaires were retained for analysis. The gender distribution was fairly balanced, and the age distribution was reasonable. The sample profile shows an overview of all respondents (Table 1).

3.2. Survey Instrument

The researchers adapted items from established scales based on participant observations in urban parks. Five experts in tourism studies were then invited to provide suggestions on items’ appropriateness for evaluating associated variables to ensure the instrument’s face validity before obtaining data. A pilot test was performed with 123 tourists to create the final measure. Exploratory factor analysis indicated that the Kaiser–Meyer–Olkin measure of sampling adequacy was 0.844, reflecting the scale’s suitability for factor analysis [57]. Items’ factor loadings were larger than 0.5, indicating convergent validity [58].
The final survey contained 28 items related to respondents’ recent recreation experiences, social connectedness, and life satisfaction. All items were scored on a 5-point scale (5 = strongly agree, 1 = strongly disagree). Fourteen items concerned TTIs, including five on etiquette incidents (EI), four on friendly conversation (FC), and five on unfriendly behavior (UB). Social connectedness was measured with three items, and five items referred to life satisfaction. Table 2 presents all survey items and their literature sources.

4. Results

4.1. Common Method Variance Test

Common method variance (CMV) was tested because data were gathered using a single instrument [61,62]. CMV was estimated using Harman’s single-factor test prior to confirmatory factor analysis (CFA). The first factor explained 16.90% of the total variance, while 69.96% of the variance was explained by all five factors. As such, CMV was not a concern in this study.

4.2. Measurement Model

To examine the research hypotheses, CFA was initially adopted in Amos 26.0. The reliability and validity of the seven factors were then assessed in terms of outer loadings, composite reliability (CR), the average variance extracted (AVE), and discriminant validity. All items’ standardized loading estimates ranged from 0.576 to 0.880 and were statistically significant, meeting the criteria suggested by Hair, Anderson, Tatham, and Black [58]. As listed in Table 3, all AVE values exceeded the recommended threshold of 0.5 (apart from Etiquette Incidents, which nearly reached the threshold). Convergent validity was therefore sufficient. All CR scores were greater than 0.8 to suggest adequate internal consistency [63]. Regarding discriminant validity, the square root of the AVE of each factor was compared with any two factors based on inter-factor correlations. Table 4 shows that factors’ AVE values surpassed their inter-factor correlations, indicating sound discriminant validity [63].

4.3. Structural Model

Structural equation modeling was carried out in Amos 26.0 to verify the structural relationships between EI, FC, UB, SC, and LS. Results returned the following fit indices: χ2/df = 2.219, RMSEA = 0.059, CFI = 0.941, TLI = 0.932, IFI = 0.942. Thus, the measurement model demonstrated a good fit [64].
According to the associations between tested variables (Table 5), etiquette incidents had no significant relationship with either life satisfaction (β = 0.024, p > 0.1) or social connectedness (β = 0.015, p > 0.1). Hence, H1a and H1b were not supported. Friendly conversation and life satisfaction exhibited a significant positive relationship (β = 0.228, p < 0.01), lending support to H2a. Friendly conversation also had a significant positive relationship with social connectedness (β = 0.585, p < 0.001). H2b was thus supported. Unfriendly behavior had a negative relationship with social connectedness (β = −0.161, p < 0.01) but had no significant relationship with life satisfaction (β = −0.085, p > 0.1). As such, H3b was supported, while H3a was not supported. Finally, social connectedness had a significant positive relationship with life satisfaction (β = 0.298, p < 0.001), supporting H4. The associations between tested variables are shown in Figure 2.

4.4. Mediating Effects

As presented in Table 6, a bootstrapping method was employed with 2000 iterations to test mediating effects [58]. Social connectedness was found to mediate the relationship between friendly conversation and life satisfaction as well as that between unfriendly behavior and life satisfaction. Additionally, the positive relationship between friendly conversation and life satisfaction was not fully mediated by social connectedness because the direct relationship between friendly conversation and life satisfaction remained significant (p < 0.05). Social connectedness therefore was not the sole mediator of this relationship. By contrast, findings revealed a full mediating effect of social connectedness between unfriendly behavior and life satisfaction since the direct relationship between unfriendly behavior and life satisfaction was not significant (p > 0.1).

5. Discussion

Taking urban park visits during the pandemic as a backdrop, this study examined the relationships between types of tourist-to-tourist interaction and life satisfaction along with the mediating role of social connectedness. Etiquette incidents demonstrated no significant relationship with life satisfaction and social connectedness, contradicting prior literature [11]. Chen and colleagues [11] determined that positive TTI exerted significant positive impacts on life satisfaction and social connection. This discrepancy may have arisen because, although etiquette incidents are positive, they typically involve basic etiquette with low-intensity features (e.g., appearance, attitude, possible apologies, and non-physical contact). Interaction variables with higher intensity can directly influence customers’ perceived experiential value and behavioral intentions; conversely, interaction variables with lower intensity do not have significant effects [50]. Consequently, etiquette incidents were not significantly associated with tourists’ overall life evaluations or their sense of intimacy with others and their surroundings.
People who spend less time alone and more time conversing with others report greater life satisfaction [65,66]. The present study confirmed that friendly conversation is significantly positively related to life satisfaction. Given that friendly conversations appeared to improve tourists’ assessments of life satisfaction, cordial conversations in urban parks function as more than small talk—they are meaningful discussions [65,66]. These conversations also had a significant positive relationship with social connectedness. The concept of social connectedness captures intimate relationships and relationships with strangers [43,45,51]. Sharing information with others during travel amplifies tourists’ satisfaction [34]. Self-disclosure also fosters a sense of relational intimacy, as exemplified by the conversational TTI effect, which can positively and significantly influence tourists’ perceived intimacy [34,35]. This pattern explains why friendly conversations contributed to tourists’ social connectedness in the current study.
Moreover, social connectedness partially mediated the positive relationship between friendly conversation and life satisfaction. Other factors may act as mediators and enhance this form of satisfaction, such as tourists’ experiences and trip-related satisfaction [67]. This study also corroborated earlier work in which social connectedness displayed a significant positive relationship with life satisfaction [52,53,55]. People possessing higher social connectedness are more likely to integrate into society and to be more satisfied with their lives overall [55].
Unfriendly behavior was negatively related to social connectedness. Unpleasant experiences in urban parks could diminish one’s sense of belonging to their community and compromise perceived intimacy with others, thereby reducing one’s social connections [51,52]. However, no significant relationship was observed between unfriendly behavior and life satisfaction in this study, distinct from previous findings [11]. Considering that life satisfaction represents a holistic assessment of one’s life [26], unfriendly behavior may have a temporary and less salient effect on it, especially in the context that pandemic-related anxiety also has negative influence on people’s emotional and psychological changes. Amid the pandemic, most tourists have worn masks and maintained a certain social distance. COVID-19 has colored people’s perceptions of the outside world; individuals are highly cognizant of social isolation and self-safety areas [68,69]. Unpleasant interactions might not significantly affect one’s self-perception in relation to life satisfaction. Even though unfriendly behavior had no direct negative impact on life satisfaction, it indirectly affected tourists’ life satisfaction via the mediating role of social connectedness. This link suggests that one’s interactions with weak ties outside their usual social circle also inform one’s sense of belonging and well-being [70].

6. Implications and Limitations

This study extends work on tourist-to-tourist interaction, social connectedness, and life satisfaction. Scholars previously focused on how positive and negative aspects of TTI influence well-being while ignoring other TTI typologies [11]. The present work included verbal and non-verbal TTIs ranging from low- to higher-level interactions. Findings indicated that one’s life satisfaction and social connectedness were significantly influenced by conversational interactions in urban parks rather than by low-level TTI (e.g., etiquette incidents). Nonverbal positive interactions are relatively low intensity in this study, while verbal interactions are relatively high intensity. To better understand tourist-to-tourist interaction, verbal and non-verbal categories—and the intensity of interactions—should be considered in addition to positive/negative categories in the future.
Second, this effort expands theoretical applications of tourist-to-tourist interaction by investigating it in the context of urban park visits. Earlier research mainly discussed far-away tourism settings such as cruise tourism, backpacking trips, and group tours [11,12,41]. Interactions between tourists in urban parks involve experiences with strangers and resulting relationships that may be transient and distant (i.e., not intimate). This study revealed that, different from long-haul tourism, positive tourist-to-tourist interaction in urban parks does not always have significant positive effects on life satisfaction and social connectedness. It remains necessary to identify specific tourist-to-tourist interaction categories and cases to thoroughly examine how tourist-to-tourist interaction affects individuals’ social connectedness and well-being.
Third, social connectedness has been highlighted as a key aspect of post-pandemic tourism behavior [71]. Compared with studies conducted in non-pandemic times, this study unveiled specific relations between tourist-to-tourist interaction, life satisfaction, and social connectedness during urban park visits in the pandemic era. The COVID-19 crisis has powerfully reinforced the importance of social connections. Tourism will be pivotal in promoting people’s social connectedness and well-being during and after this crisis [72]. The present research offers insights into the relationships between tourist-to-tourist interaction, social connectedness, and life satisfaction.
Practical implications of this work will benefit urban park designers and management teams. Tourist-to-tourist interaction can elicit positive psychological effects, and social connectedness plays a part in life satisfaction. Urban Park designers should assume a long-term perspective and consider tourist-to-tourist interaction an outcome of successful park design; visitors’ interaction needs are crucial. Encouraging friendly conversations among park visitors will augment opportunities to improve social connectedness and life satisfaction. Urban Park designers are recommended to craft social spaces that inspire visitors to connect with others and enhance their life satisfaction. In addition to regular recreational activities, park management teams can organize social events to facilitate visitors’ TTI.
Several limitations of this study leave room for further investigation. First, although the researchers collected as many questionnaires as possible, the sample stands to be enlarged. Rigorous data collection and analysis processes were performed, and the results appear reliable. A larger sample size will nonetheless improve the universality of conclusions. Second, the focal site was a warm city in southern China featuring a distinct geographic and cultural background. Scholars could seek to replicate the study findings elsewhere to enhance generalizability. Furthermore, the pandemic has altered tourists’ activities and interactions. Results regarding the impacts of etiquette incidents and unfriendly behavior on life satisfaction should be scrutinized in greater depth as the pandemic wanes.

Author Contributions

Conceptualization, W.L. and W.X.; data curation, W.L. and W.X.; formal analysis, W.L. and W.X.; investigation, W.L. and W.X.; methodology, W.L. and W.X.; software, W.L.; supervision, W.X.; validation, W.X.; writing—original draft, W.L. and W.X.; writing—review and editing, W.L., W.X. and M.W. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Acknowledgments

The authors are grateful to thank Sichen Ouyang for helping with the data collection.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Li, C.L. Quality of life: The perspective of urban park recreation in three Asian cities. J. Outdoor Recreat. Tour. 2020, 29, 100260. [Google Scholar] [CrossRef]
  2. Irvine, K.N.; Warber, S.L.; Devine-Wright, P.; Gaston, K.J. Understanding urban green space as a health resource: A qualitative comparison of visit motivation and derived effects among park users in Sheffield, UK. Int. J. Environ. Res. Public Health 2013, 10, 417–442. [Google Scholar] [CrossRef] [PubMed]
  3. Jim, C.Y.; Zhang, A. Species diversity and spatial differentiation of old-valuable trees in urban Hong Kong. Urban For. Urban Green. 2013, 12, 171–182. [Google Scholar] [CrossRef]
  4. Lawrence, A.; De Vreese, R.; Johnston, M.; Sanesi, G.; Konijnendijk, C.C. Urban forest governance: Towards a framework for comparing approaches. Urban For. Urban Green. 2013, 12, 464–473. [Google Scholar] [CrossRef]
  5. Yuen, H.K.; Jenkins, G.R. Factors associated with changes in subjective well-being immediately after urban park visit. Int. J. Environ. Health Res. 2020, 30, 134–145. [Google Scholar] [CrossRef] [PubMed]
  6. Coldwell, D.F.; Evans, K.L. Visits to urban green-space and the countryside associate with different components of mental well-being and are better predictors than perceived or actual local urbanisation intensity. Landsc. Urban Plan. 2018, 175, 114–122. [Google Scholar] [CrossRef]
  7. Honold, J.; Lakes, T.; Beyer, R.; van der Meer, E. Restoration in urban spaces: Nature views from home, greenways, and public parks. Environ. Behav. 2016, 48, 796–825. [Google Scholar] [CrossRef]
  8. Kondo, M.C.; Fluehr, J.M.; McKeon, T.; Branas, C.C. Urban green space and its impact on human health. Int. J. Environ. Res. Public Health 2018, 15, 445. [Google Scholar] [CrossRef] [Green Version]
  9. Peters, M.; Schuckert, S. Tourism entrepreneurs’ perception of quality of life: An explorative study. Tour. Anal. 2014, 19, 731–740. [Google Scholar] [CrossRef]
  10. Barton, J.; Pretty, J. What is the best dose of nature and green exercise for improving mental health? A multi-study analysis. Environ. Sci. Technol. 2010, 44, 3947–3955. [Google Scholar] [CrossRef]
  11. Chen, Y.; Dong, M.; Zhang, H. Accompanying travelers matters? The impact of tourist-to-tourist interaction on tourists’ subjective well-being. Tour. Trib. 2017, 32, 14–24. [Google Scholar]
  12. Huang, J.; Hsu, C.H. The impact of customer-to-customer interaction on cruise experience and vacation satisfaction. J. Travel Res. 2010, 49, 79–92. [Google Scholar] [CrossRef] [Green Version]
  13. Peng, D. A new perspective of tourist experience study: The research on social relationships of tourist-to-tourist interaction. Tour. Trib. 2013, 28, 89–96. [Google Scholar]
  14. Bazrafshan, M.; Tabrizi, A.M.; Bauer, N.; Kienast, F. Place attachment through interaction with urban parks: A cross-cultural study. Urban For. Urban Green. 2021, 61, 127103. [Google Scholar] [CrossRef]
  15. Hadavi, S.; Kaplan, R.; Hunter, M.R. How does perception of nearby nature affect multiple aspects of neighbourhood satisfaction and use patterns? Landsc. Res. 2018, 43, 360–379. [Google Scholar] [CrossRef]
  16. Main, K. Planting roots in foreign soil?–Immigrant place meanings in an urban park. J. Environ. Psychol. 2013, 36, 291–304. [Google Scholar] [CrossRef]
  17. Cohen, D.A.; Ashwood, J.S.; Scott, M.M.; Overton, A.; Evenson, K.R.; Staten, L.K.; Porter, D.; McKenzie, T.L.; Catellier, D. Public parks and physical activity among adolescent girls. Pediatrics 2006, 118, e1381–e1389. [Google Scholar] [CrossRef] [Green Version]
  18. Lee, J.Y.; Lee, D.C. Cardiac and pulmonary benefits of forest walking versus city walking in elderly women: A randomised, controlled, open-label trial. Eur. J. Integr. Med. 2014, 6, 5–11. [Google Scholar] [CrossRef]
  19. Tamosiunas, A.; Grazuleviciene, R.; Luksiene, D.; Dedele, A.; Reklaitiene, R.; Baceviciene, M.; Vencloviene, J.; Bernotiene, G.; Radisauskas, R.; Malinauskiene, V.; et al. Accessibility and use of urban green spaces, and cardiovascular health: Findings from a Kaunas cohort study. Environ. Health 2014, 13, 20. [Google Scholar] [CrossRef] [Green Version]
  20. National Recreation and Parks Association. Importance of Parks and Recreation. 2022. Available online: https://recreation.eku.edu/importance-parks-and-recreation (accessed on 19 May 2022).
  21. Geng, D.C.; Innes, J.; Wu, W.; Wang, G. Impacts of COVID-19 pandemic on urban park visitation: A global analysis. J. For. Res. 2021, 32, 553–567. [Google Scholar] [CrossRef]
  22. Tinsley, H.E.; Tinsley, D.J.; Croskeys, C.E. Park usage, social milieu, and psychosocial benefits of park use reported by older urban park users from four ethnic groups. Leis. Sci. 2002, 24, 199–218. [Google Scholar] [CrossRef]
  23. Blanco, C.; Wall, M.M.; Olfson, M. Psychological aspects of the COVID-19 pandemic. J. Gen. Intern. Med. 2020, 35, 2757–2759. [Google Scholar] [CrossRef] [PubMed]
  24. Chan, H.Y. Mental wellbeing in a pandemic: The role of solidarity and care. Public Health Ethics 2021, 14, 47–58. [Google Scholar] [CrossRef]
  25. Diener, E.; Suh, E.M.; Lucas, R.E.; Smith, H.L. Subjective well-being: Three decades of progress. Psychol. Bull. 1999, 125, 276–302. [Google Scholar] [CrossRef]
  26. Pavot, W.; Diener, E. The affective and cognitive context of self-reported measures of subjective well-being. Soc. Indic. Res. 1993, 28, 1–20. [Google Scholar] [CrossRef]
  27. Pavot, W.; Diener, E. The satisfaction with life scale and the emerging construct of life satisfaction. J. Posit. Psychol. 2008, 3, 137–152. [Google Scholar] [CrossRef]
  28. Bimonte, S.; Punzo, L.F. Tourist development and host–guest interaction: An economic exchange theory. Ann. Tour. Res. 2016, 58, 128–139. [Google Scholar] [CrossRef]
  29. Zhang, J.; Inbakaran, R.J.; Jackson, M.S. Understanding community attitudes towards tourism and host—Guest interaction in the urban—Rural border region. Tour. Geogr. 2006, 8, 182–204. [Google Scholar] [CrossRef]
  30. Zhang, J.; Xu, H.G.; Xing, W. The host–guest interactions in ethnic tourism, Lijiang, China. Curr. Issues Tour. 2017, 20, 724–739. [Google Scholar] [CrossRef]
  31. Martin, C.L.; Pranter, C.A. Compatibility management: Customer-to-customer relationships in service environments. J. Serv. Mark. 1989, 3, 5–15. [Google Scholar] [CrossRef]
  32. Cai, R.R.; Lu, L.; Gursoy, D. Effect of disruptive customer behaviors on others’ overall service experience: An appraisal theory perspective. Tour. Manag. 2018, 69, 330–344. [Google Scholar] [CrossRef]
  33. Gruen, T.W.; Osmonbekov, T.; Czaplewski, A.J. Customer-to-customer exchange: Its MOA antecedents and its impact on value creation and loyalty. J. Acad. Mark. Sci. 2007, 35, 537–549. [Google Scholar] [CrossRef]
  34. Lin, H.; Zhang, M.; Gursoy, D.; Fu, X. Impact of tourist-to-tourist interaction on tourism experience: The mediating role of cohesion and intimacy. Ann. Tour. Res. 2019, 76, 153–167. [Google Scholar] [CrossRef]
  35. Lin, H.; Zhang, M.; Gursoy, D. Effects of tourist-to-tourist interactions on experience cocreation: A self-determination theory perspective. J. Travel Res. 2021, 61, 1105–1120. [Google Scholar] [CrossRef]
  36. Woosnam, K.M.; Norman, W.C.; Ying, T. Exploring the theoretical framework of emotional solidarity between residents and tourists. J. Travel Res. 2009, 48, 245–258. [Google Scholar] [CrossRef] [Green Version]
  37. Collins, R. Conflict Sociology: Towards an Explanatory Science; Academic Press: New York, NY, USA, 1975. [Google Scholar]
  38. Cohen, E. Toward a sociology of international tourism. Soc. Res. 1972, 39, 164–182. [Google Scholar]
  39. Crompton, J.L. Motivations for pleasure vacation. Ann. Tour. Res. 1979, 6, 408–424. [Google Scholar] [CrossRef]
  40. Joo, D.; Woosnam, K.M. Measuring tourists’ emotional solidarity with one another—A modification of the emotional solidarity scale. J. Travel Res. 2020, 59, 1186–1203. [Google Scholar] [CrossRef]
  41. Sørensen, A. Backpacker ethnography. Ann. Tour. Res. 2003, 30, 847–867. [Google Scholar] [CrossRef]
  42. Lee, R.M.; Draper, M.; Lee, S. Social connectedness, dysfunctional interpersonal behaviors, and psychological distress: Testing a mediator model. J. Couns. Psychol. 2001, 48, 310–318. [Google Scholar] [CrossRef]
  43. Lee, R.M.; Robbins, S.B. The relationship between social connectedness and anxiety, self-Esteem, and social identity. J. Couns. Psychol. 1998, 45, 338–345. [Google Scholar] [CrossRef]
  44. Kohut, H. How Does Analysis Cure? International Universities Press: New York, NY, USA, 1984. [Google Scholar]
  45. Lee, R.M.; Robbins, S.B. Measuring belongingness: The social connectedness and the social assurance scales. J. Couns. Psychol. 1995, 42, 232–241. [Google Scholar] [CrossRef]
  46. Gössling, S.; Cohen, S.A.; Hibbert, J.F. Tourism as connectedness. Curr. Issues Tour. 2018, 21, 1586–1600. [Google Scholar] [CrossRef]
  47. Gilbert, D.; Abdullah, J. Holidaytaking and the sense of well-being. Ann. Tour. Res. 2004, 31, 103–121. [Google Scholar] [CrossRef]
  48. Grove, S.J.; Fisk, R.P. The impact of other customers on service experiences: A critical incident examination of “getting along”. J. Retail. 1997, 73, 63–85. [Google Scholar] [CrossRef]
  49. Jiang, T.; Hu, Z. On tourist-to-tourist interactions in service contact--based on the technique of critical incident. Tour. Trib. 2011, 26, 77–83. [Google Scholar]
  50. Jiang, T.; Zhang, F. Influence of tourist-to-tourist interaction on re-patronage intention: A tourist experience perspective. Tour. Trib. 2013, 28, 90–100. [Google Scholar]
  51. Lee, R.M.; Robbins, S.B. Understanding social connectedness in college women and men. J. Couns. Dev. 2000, 78, 484–491. [Google Scholar] [CrossRef]
  52. Yoon, E.; Lee, R.M.; Goh, M. Acculturation, social connectedness, and subjective well-being. Cult. Divers. Ethn. Minor. Psychol. 2008, 14, 246–255. [Google Scholar] [CrossRef]
  53. Amati, V.; Meggiolaro, S.; Rivellini, G.; Zaccarin, S. Social relations and life satisfaction: The role of friends. Genus 2018, 74, 7. [Google Scholar] [CrossRef] [Green Version]
  54. Brown, K.M.; Hoye, R.; Nicholson, M. Self-esteem, self-efficacy, and social connectedness as mediators of the relationship between volunteering and well-being. J. Soc. Serv. Res. 2012, 38, 468–483. [Google Scholar] [CrossRef]
  55. Jose, P.E.; Ryan, N.; Pryor, J. Does social connectedness promote a greater sense of well-being in adolescence over time? J. Res. Adolesc. 2012, 22, 235–251. [Google Scholar] [CrossRef]
  56. Lee, R.M.; Dean, B.L.; Jung, K.R. Social connectedness, extraversion, and subjective well-being: Testing a mediation model. Personal. Individ. Differ. 2008, 45, 414–419. [Google Scholar] [CrossRef]
  57. Kaiser, H.F. An Index of Factorial Simplicity. Psychometrika 1974, 39, 31–36. [Google Scholar] [CrossRef]
  58. Hair, J.F.; Anderson, R.E.; Tatham, R.L.; Black, W.C. Multivariate Data Analysis; Prentice Hall: Hoboken, NJ, USA, 1998. [Google Scholar]
  59. Diener, E.D.; Emmons, R.A.; Larsen, R.J.; Griffin, S. The satisfaction with life scale. J. Personal. Assess. 1985, 49, 71–75. [Google Scholar] [CrossRef]
  60. Pavot, W.; Diener, E.D.; Colvin, C.R.; Sandvik, E. Further validation of the Satisfaction with Life Scale: Evidence for the cross-method convergence of well-being measures. J. Personal. Assess. 1991, 57, 149–161. [Google Scholar] [CrossRef]
  61. Lindell, M.K.; Whitney, D.J. Accounting for common method variance in cross-sectional research designs. J. Appl. Psychol. 2001, 86, 114–121. [Google Scholar] [CrossRef] [Green Version]
  62. Podsakoff, P.M.; MacKenzie, S.B.; Lee, J.Y.; Podsakoff, N.P. Common method biases in behavioral research: A critical review of the literature and recommended remedies. J. Appl. Psychol. 2003, 88, 879–903. [Google Scholar] [CrossRef]
  63. Fornell, C.; Larcker, D.F. Structural equation models with unobservable variables and measurement error: Algebra and statistics. J. Mark. Res. 1981, 18, 382–388. [Google Scholar] [CrossRef]
  64. McDonald, R.P.; Ho, M.H.R. Principles and practice in reporting structural equation analyses. Psychol. Methods 2002, 7, 64–82. [Google Scholar] [CrossRef]
  65. Mehl, M.R.; Vazire, S.; Holleran, S.E.; Clark, C.S. Eavesdropping on happiness: Well-being is related to having less small talk and more substantive conversations. Psychol. Sci. 2010, 21, 539–541. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  66. Milek, A.; Butler, E.A.; Tackman, A.M.; Kaplan, D.M.; Raison, C.L.; Sbarra, D.A.; Vazire, S.; Mehl, M.R. “Eavesdropping on happiness” revisited: A pooled, multisample replication of the association between life satisfaction and observed daily conversation quantity and quality. Psychol. Sci. 2018, 29, 1451–1462. [Google Scholar] [CrossRef] [PubMed]
  67. Kim, H.; Woo, E.; Uysal, M. Tourism experience and quality of life among elderly tourists. Tour. Manag. 2015, 46, 465–476. [Google Scholar] [CrossRef]
  68. Finsterwalder, J. Social distancing and wellbeing: Conceptualizing actor distance and actor safe zone for pandemics. Serv. Ind. J. 2021, 41, 9–31. [Google Scholar] [CrossRef]
  69. Zacher, H.; Rudolph, C.W. Individual differences and changes in subjective wellbeing during the early stages of the COVID-19 pandemic. Am. Psychol. 2021, 76, 50–62. [Google Scholar] [CrossRef]
  70. Sandstrom, G.M.; Dunn, E.W. Social interactions and well-being: The surprising power of weak ties. Personal. Soc. Psychol. Bull. 2014, 40, 910–922. [Google Scholar] [CrossRef] [Green Version]
  71. Miao, L.; Im, J.; So, K.K.F.; Cao, Y. Post-pandemic and post-traumatic tourism behavior. Ann. Tour. Res. 2022, 95, 103410. [Google Scholar] [CrossRef]
  72. Higgins-Desbiolles, F. Socialising tourism for social and ecological justice after COVID-19. Tour. Geogr. 2020, 22, 610–623. [Google Scholar] [CrossRef]
Figure 1. Conceptual model.
Figure 1. Conceptual model.
Sustainability 14 16257 g001
Figure 2. Relationships between variables.
Figure 2. Relationships between variables.
Sustainability 14 16257 g002
Table 1. Sample profile.
Table 1. Sample profile.
Category Item Frequency Percentage
Gender Male 17650.0%
Female 17650.0%
Age Under age 184211.93%
Age 18–255615.91%
Age 26–357421.02%
Age 36–456017.05%
Age 46–554011.36%
Age 56–653810.80%
Over age 654211.93%
Distribution of touristsResidents 23967.90%
Non-residents11332.10%
Duration of stayAll day51.42%
Half day308.52%
2–3 h8925.28%
1–2 h18251.70%
Less than 1 h4613.07%
Visiting frequency Less than 5 times per year349.66%
6–8 times per year195.40%
9–11 times per year4011.36%
1–3 times per month10630.11%
1–3 times per week6719.03%
4–6 times per week4312.22%
Everyday4312.22%
Table 2. Measurement scale and literature sources.
Table 2. Measurement scale and literature sources.
FactorsReferences
1. Tourist-to-Tourist Interaction
-Etiquette Incidents (EI)
Tourists in this park dress neatly and in a decent manner.
Tourists in this park follow the public norms.
Tourists in this park are gentle and polite.
Tourists in this park apologize when they cause trouble.
My behavior is friendly and polite in the park.
Chen, Dong, & Zhang [11]; Grove & Fisk [48]; Jiang & Hu [49]; Jiang & Zhang [50]
-Friendly Conversation (FC)
Tourists in this park communicate in a friendly way.
Tourists in this park comfort me when I encounter unpleasant things in the park.
I chat casually with the tourists in the park in a relaxed atmosphere.
I offer recommendations and suggestions for other tourists in this park.
-Unfriendly Behavior (UB)
Tourists have poor public etiquette in this park such as littering, spitting, or smoking in public.
Tourists in this park behave selfishly, such as occupying seats.
Tourists in this park are too loud in public places.
Tourists in this park speak rudely.
Tourists in this park damage public facilities or improperly use exercise equipment.
2. Social Connectedness (SC)
I feel comfortable in the presence of strangers in this park.
I find myself actively involved in other people’s conversations in the park.
I get along well with others in the park.
Lee et al. [42]
3. Life Satisfaction (LS)
In most ways, my life is close to my ideal.
The conditions of my life are excellent.
I am satisfied with my life.
So far, I have gotten the important things I want in life.
If I could live my life over, I would change almost nothing.
Diener, Emmons, Larsen, & Griffin [59]; Pavot & Diener [27]; Pavot, Diener, Colvin, & Sandvik [60]
Table 3. Factor loadings, composite reliability, and convergent validity.
Table 3. Factor loadings, composite reliability, and convergent validity.
Dim.ItemStandardized Factor LoadingpAverage Variance Extracted (AVE)Composite Reliability (CR)
Etiquette Incidents (EI)TTI10.720***0.4980.831
TTI20.728***
TTI30.774***
TTI40.715***
TTI50.576***
Friendly Conversation (FC)TTI60.692***0.6040.858
TTI70.720***
TTI80.851***
TTI90.834***
Unfriendly Behavior (UB)TTI100.754***0.5990.882
TTI110.795***
TTI120.826***
TTI130.732***
TTI140.759***
Social Connectedness (SC)SC10.734***0.6400.842
SC20.828***
SC30.834***
Life Satisfaction (LS)LS10.845***0.6630.907
LS20.821***
LS30.880***
LS40.805***
LS50.711***
Note: *** significant at p < 0.001.
Table 4. Discriminant validity.
Table 4. Discriminant validity.
UBEIFCSCLS
UB0.774
EI−0.2620.706
FC−0.1660.4770.777
SC−0.2620.3360.6190.800
LS−0.2070.2550.4380.470.814
Note: Bold diagonal elements are the square roots of the AVE for each factor.
Table 5. Results of hypothesis testing.
Table 5. Results of hypothesis testing.
Standardized CoefficientS.E.C.R.pHypothesisResult
EI→SC0.0150.1000.2300.818H1bNot Supported
FC→SC0.5850.0498.631***H2bSupported
UB→SC−0.1610.056−2.944**H3bSupported
EI→LS0.0240.1130.3580.721H1aNot Supported
FC→LS0.2280.0662.825**H2aSupported
UB→LS−0.0850.065−1.4930.136H3aNot Supported
SC→LS0.2980.0873.855***H4Supported
Note: *** p < 0.001; ** p < 0.01.
Table 6. Mediating effects (bootstrap = 2000).
Table 6. Mediating effects (bootstrap = 2000).
EffectsSEBias-Corrected 90%
Confidence Interval
Percentile 90% Confidence Interval
LowerUpperpLowerUpperp
EI–LS0.0410.169−0.2210.3280.786−0.2280.3200.837
EI–SC–LS0.0080.049−0.0740.0880.835−0.0770.0870.854
FC–LS0.1860.0830.0570.3280.0290.0460.3200.038
FC–SC–LS0.1420.0540.0630.2430.0030.0570.2370.004
UB–LS−0.0980.077−0.2230.0260.207−0.2250.0230.198
UB–SC–LS−0.0550.031−0.128−0.0180.005−0.118−0.0150.010
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Liu, W.; Xu, W.; Wu, M. The Effect of Tourist-to-Tourist Interaction on Life Satisfaction: A Mediation Role of Social Connectedness. Sustainability 2022, 14, 16257. https://doi.org/10.3390/su142316257

AMA Style

Liu W, Xu W, Wu M. The Effect of Tourist-to-Tourist Interaction on Life Satisfaction: A Mediation Role of Social Connectedness. Sustainability. 2022; 14(23):16257. https://doi.org/10.3390/su142316257

Chicago/Turabian Style

Liu, Weiwei, Wenqing Xu, and Monica (Shu-Fen) Wu. 2022. "The Effect of Tourist-to-Tourist Interaction on Life Satisfaction: A Mediation Role of Social Connectedness" Sustainability 14, no. 23: 16257. https://doi.org/10.3390/su142316257

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop