Next Article in Journal
The Impact of Obesity on the Fitness Performance of School-Aged Children Living in Rural Areas—The West Attica Project
Next Article in Special Issue
Coupling Coordination and Interactive Response Analysis of Ecological Environment and Urban Resilience in the Yangtze River Economic Belt
Previous Article in Journal
Intergenerational Theater Workshops as Unique Recreational Activities among Older Adults in Japanese Care Facilities: A Qualitatively Driven Mixed-Methods Multiple-Case Study Design
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
IJERPH
Volume 19
Issue 18
10.3390/ijerph191811475
ijerph-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Visualizing and Understanding Shrinking Cities and Towns (SCT) Research: A Network Analysis

by
Zezhou Wu
1,2,3,
Danting Zhang
1,2,3,
Shenghan Li
1,2,3,
Jianbo Fei
1,3,*,
Changhong Chen
2,3,
Bin Tian
4 and
Maxwell Fordjour Antwi-Afari
5
1
Key Laboratory for Resilient Infrastructures of Coastal Cities, Ministry of Education, Shenzhen University, Shenzhen 518060, China
2
Sino-Australia Joint Research Centre in BIM and Smart Construction, Shenzhen University, Shenzhen 518060, China
3
College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518060, China
4
Gemdale Group South China Real Estate Company Shenhui Business Department, Futian District, Shenzhen 518026, China
5
Department of Civil Engineering, College of Engineering and Physical Sciences, Aston University, Birmingham B4 7ET, UK
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2022, 19(18), 11475; https://doi.org/10.3390/ijerph191811475
Submission received: 13 July 2022 / Revised: 1 September 2022 / Accepted: 8 September 2022 / Published: 12 September 2022
(This article belongs to the Special Issue New Trends in Urban Spatial Planning and Sustainable Development)
Browse Figures
Versions Notes

Abstract

:
The world is undergoing an unprecedented trend of fast urbanization, which causes a range of socio-environmental consequences, one of which is shrinking cities and towns (SCT). SCT refer to the cities or towns that are experiencing population decline and economic downturn. In the existing literature, there have been numerous studies on SCT; however, there is a lack of study which investigates its knowledge domains. Therefore, this paper aims to conduct a scientometric analysis to achieve an outline of the SCT research status. Through the procedures of literature search and screening, a total of 716 SCT-related studies were extracted from the Scopus. The VOSviewer software system program was then utilized to visualize the present SCT-related studies. The visualization results revealed that the journal of Sustainability made significant contributions to the SCT research in terms of relevant publications. In addition, Haase, Annegret received the most co-citations, and was also the most productive author in this field. Furthermore, it was identified that current SCT research is mainly conducted in developed countries. Through the analysis of keywords, the emerging research topics were revealed. Discussions were further made from the perspectives of prevailing research methods, evaluation criteria, and solutions for SCT problems.

1. Introduction

Urbanization is one of the major social changes all over the world [1], which refers to the process of population gathering in urban areas or rural areas into urban areas. The fast speed of urbanization has caused a range of problems, such as global warming [2], construction and demolition waste production [3], the reduction in resident population [4,5,6] and exacerbated traffic congestion [7]. Shrinking cities and towns (SCT) are also a problem appearing in the fast urbanization process. In the literature, SCT have been defined as the phenomenon of the declining population and the gradual decline of economies in the cities with the process of deindustrialization [8,9,10]. It was not until 1988 that the term SCT was used to refer to hollowed-out inner cities where populations were largely lost under the influence of suburbanization [11]. There are many reasons for urban shrinkage, and the academic community generally summarized them into factors such as globalization [8,12], deindustrialization [13,14,15], suburbanization [16,17], demographic changes [18,19], changes in political context [20] and natural environment [21,22,23]. Although the performance of different SCT had certain similarities, the substantive reasons behind the phenomenon were not the same [24].
As the urbanization process continues to deepen, there are various factors affecting the process of urban development and recession [25,26,27]. The academic community has begun to use SCT to describe the worldwide urban transformation process and its impact. Wiechmann and Pallagst [28] provided an important summary of the evolution pathways and local policies of four SCT cases in developed countries. Barreira, et al. [29] assessed the residential satisfaction of four shrinking urban inhabitants in Portugal through a survey. It showed that shrinking caused by the deindustrialization is not conducive to the increase in satisfaction of citizens. Lang, et al. [30] examined how urban fringe villages are being transformed in the new agenda of urbanization in China. Although China is experiencing rapid urban expansion [31,32,33], China’s urbanization has begun to move toward stocks, and shrinkage is inevitable [34]. There is a need for an urban renewal approach to address and adopt additional development measures [35], for example, the method of optimizing the reverse logistics of construction waste proposed by Wu et al. [36]. Cortese, et al. [37] analyzed the efforts of three SCT cases to boost social coherence in the face of urban shrinkage, and examined issues that are driving aging and spatial inequalities in society. Haase, et al. [38] used an ABM approach to simulate residential mobilization in an SCT case. Currently, the research topic of SCT has been extensively studied. However, there are currently no studies that provide a comprehensive vision of the current SCT literature. Thus, this study endeavors to provide a scientometric review of the literature concerning SCT, and they do not fully reveal the connection between these studies. It also presents the holistic research status and evolutionary trends of SCT research.
The remainder of this paper is structured as follows. The following section describes the research methodology. Then, the documentary network is analyzed in terms of journals published, co-authors, countries, literature citations, and co-occurring keywords. A discussion is presented based on the results obtained. Finally, a Section 4 is included as an end.

2. Research Method

This review-based study analyzed the SCT articles retrieved from the Scopus database which includes of the most prominent and influential journals in the world [39]. The overall flowchart is depicted in Figure 1, consisting of the literature collection, scientometric analysis, and discussions. After analysis and verification, the following search codes were implemented in the Scopus: TITLE-ABS-KEY (“shrinking city*” OR “shrinking town*” OR “urban decline” OR “city decline” OR “city shrinkage” OR “urban shrinkage”). Journal papers were targeted for this research, while book chapter, congress papers, books, reviews, editorials were excluded. This is due to the fact that journal articles generally contain more holistic and superior information than other kinds of publications [40,41].
After a thorough search, a total of 716 bibliographical recordings were retrieved, ranging from 2000 to 2021, as shown in Figure 2. From Figure 2, it could be seen that the number of papers published before 2000 was limited; however, the trend in SCT research has been increasing since 2000. In particular, it has seen rapid growth since 2017. This indicates that SCT has gradually become a hot spot in urban economic and regional development research.
VOSviewer is one of the many scientific knowledge mapping programs, which realizes the mapping of scientific knowledge maps through the relationship construction and visual analysis of network data, and shows the structure, evolution and cooperation of knowledge fields [42,43]. As an open source tool with less obscurity in its installation and usage, its most distinctive feature is the ability to generate visual graphics [44]. In VOSviewer, the scale of a component is determined by the node. If colors have been specified for each item individually, each item’s circle is displayed in the color of the item [45].
Overall, this paper investigated the 712 journal articles which were published since 2000 in the field of SCT from five perspectives, including the number of publications, total citations, average citations, average normalized citations (ANC) and total connection strength. Since the five methods are intensely correlated, a synthesis of these five measures can serve to evaluate SCT-related studies. Average citation is a metric to evaluate the average impact for a journal or author, which is the reason normalization is needed to fix the misinterpretation that remoter articles gain more time to receive citations than more recent studies. ANC is equal to the total number of citations divided by the average number of citations published in the same year. Furthermore, it quantifies the result, which means a high score leads to a high impact as well [46]. The number of publications or total citations with the highest score may not have the highest ANC per article. The total connection strength indicates the scale of the node, referring to the total number of co-occurrences of keywords.

3. Results and Discussions

This section presents the mapping results of the derived SCT publication from five aspects, namely, journals, co-authors, countries, literature citations, and co-occurrence of keywords.

3.1. Mapping of Journals

In VOSviewer, the minimum number of published papers and the minimum number of citations are set to 5 and 113. A total of 16 out of 292 journals met this threshold. Figure 3 shown the clusters of journal provenance and the correlations by connecting lines.
It can be concluded that journals have devoted themselves substantially to the study of SCT as follows: Sustainability, Cities, European Planning Studies and Urban Geography. A more detailed description is given in Table 1.
In terms of the publications, Sustainability was the highest average productive journal. From this perspective of the total citations, Cities was cited the most times. In this respect of the average citations, Journal of the American Planning Association got the highest cited times. From the point of the ANC, Progress in Planning were the more influential journals on an annual basis. The results show that Progress in Planning has aroused great attention in SCT research which had a higher ANC score than others.

3.2. Co-Authors Analysis

The authors of these articles can be obtained from bibliographic records, which identified scholars who have major research on SCT and academic collaboration between scholars [47]. The minimum of published articles set in VOSviewer is 5, and the minimum of citations for authors is 0, respectively. In total, 37 out of 1253 authors matched the selection criteria. Owing to the fact that several authors had no collaboration with others, there are a total of 12 authors displayed in Figure 4 and Table 2.
There were four different colors of red, blue, yellow and green, indicating that these authors were categorized into four groups of scholars in SCT. Haase, Annegret is the most prolific author, with 1179 total citations. The networks can further reveal the cooperative relationships of researchers within each network cluster. Others were dedicated to SCT-research considerably involving Haase, D, Grossmann, K, Rink, D, Couch, C, Krzysztofik, R, Bernt, M, Kabisch S, Kantor-Pietraga, I, Wolf, M, Cocks, M and Fol, S, who have been collaborative as visualized in Figure 4.
Table 2 indicates the information of emerging researchers involving Kantor-Pietraga, I, whose publications were generally around 2019. Bernt M, Haase, D, Rink, D and Grossmann, K have contributed significantly to the development of SCT. Table 2 also shows a very interesting phenomenon. Six of the authors have come from Helmholtz Center for Environmental Research, revealing that this institution plays a vital role in the research of SCT.

3.3. Countries Active in SCT Research

The minimum number of papers and citations per country is set to be 5 and 272. A sum of 12 out of 54 countries met the conditions.
The network connectivity model in Figure 5 shows the cross-references of the study between different countries. It is easy to find that the United States, Germany, China, the United Kingdom and Japan have become active in SCT research. In many countries, old industrial cities have made a series of planning and practical explorations to revitalize the city in response to challenges and transformation such as United Kingdom [18], the United States [16], China [48], and Germany [49].
A comprehensive analysis indicated a potential correlation between academic publications in a country and the influencing factors affecting urban shrinkage. However, the evidence articulating the relationship between these influences and country-specific academic outcomes is not clear. Research in this area needs to be explored. Details of the active countries were in Table 3.
The following countries have made significant commitments to SCT research: United States (243 articles), Germany (106 articles), China (82 articles), United Kingdom (72 articles), and Japan (32 articles), which implies that SCT research is developing faster in these countries. Scholars from the United States, Germany and China are in the first three positions in regard to the total citations, followed by the United Kingdom and Japan. The United States is at the central position and has the largest node, indicating that it has the greatest impact on SCT research. Other nodes such as Germany and China are also very large, and the connection strength with other countries is very close. ANC measurement indicates that these countries involving Australia, Germany, Netherlands, Canada, and China have created higher yearly impact. It is worth mentioning that most countries are developed countries and China is the only developing country in Figure 5. This indicates that urban shrinkage is becoming distinct in China.

3.4. Citation of Articles

Article citations allow the underlying structure of a field of knowledge to be analyzed [46]. It also highlights the quality and recognition of the relevant references. The minimum citations per article was set at 112 and 18 articles were selected. The scientific mapping of article impact in SCT-related study is shown in Figure 6.
Schilling and Logan (2008) [50] received the highest number of citations in the past two decades, which presents a model for right sizing shrinking cities. Glaeser and Gyourko [51] received the second-highest citation rate. The third-highest-cited article offers an outline of the development paths and local strategies of four SCT cases: Dresden and Schwedt in eastern Germany; Pittsburgh and Youngstown in the US [28]. The article that received the highest ANC score was Haase et al. (2016) [52]. Details of the information cited in the articles are given in Table 4. Based on the high-cited articles listed, it can be concluded that, in addition to a general introduction to SCT, the existing applications comprise the causes of SCT [53,54], case comparison [28], theoretical study on SCT [55,56], and how to deal with the problems caused by SCT [50,57,58].

3.5. Co-Occurrence of Keywords

The word frequency analysis is a method of counting and analyzing the number of occurrences of important words in a document, and is an important tool for text mining. [66]. It corresponds to the “Author Keywords” and “Score Count” functions in VOSviewer [47]. The minimum frequency was set to 7. Ultimately, 36 out of 1823 keywords met this requirement as shown in Figure 7 and Table 5.
It can be found from Figure 7 that “shrinking city”, “demographic change” and “planning” are in the same cluster and associated intensely. Robust correlations also occur among keywords in different clusters, such as “shrinking city” and “urbanization”. On the whole, other keywords indicated that SCT were strongly associated with many factors, such as “demographic change”, “urban development”, “deindustrialization”, “governance”, “sustainability”, “vacancy”, “historic preservation”, “demolition”, and “urban regeneration”.
Table 5 summarizes detailed information of the keywords. According to the AC analysis, the following keywords including “green infrastructure”, “urban growth”, “vacant land”, “demolition”, and “governance” have received more attention. In those related articles, “Detroit” is the most typical shrinking city, and many scholars conducted in-depth studies on it. The Ave. Year Published shows the latest status of keywords in SCT research. For instance, research focusing on deindustrialization was extensively published in 2014, indicating that this topic has been studied early. On the contrary, papers related to urban regeneration, demographic change, urbanization were published around 2018, suggesting that these emerging subjects have attracted the attention of researchers in recent years. The values of ANC suggest that these words have received significant awareness, especially green infrastructure. The value is 2.0, which is higher than other keywords.

3.6. Discussions

The above analysis provided a holistic bibliometric review of the existing SCT research studies. Based on the derived results, a systematical analysis of the existing research was further discussed as follows.
(1)
Case study acted as a key research method for the existing SCT studies. From the existing literature, it is interesting to find that case study is a commonly used research method in existing studies. In the early research stage, case study was employed to investigate the characteristics of a particular shrinking city or town. For example, Wiechmann [64] selected Dresden as a case to study the strategic adjustment to cope with population reduction. Lee, et al. [67] conducted a case study in Incheon to describe the built environment changes of shrinking cities. Such studies could provide valuable information to enhance the knowledge of SCT; however, due to the spatial limitation and timeliness of data, the research results may be hysteretic so as to affect its reference value.
(2)
In the future, as the knowledge system of SCT needs to be broader, it could be foreseen that case study of a particular city or town will keep being a key research method in the field of SCT research. However, some other methods may also be proposed such as inductive analysis and data visualization method. The inductive analysis could explore the general laws and countermeasures of urban shrinkage, while the data visualization method provides a solid foundation for predicting, monitoring, and analyzing urban shrinkage.
(3)
Population and economy are the two important indicators to evaluate SCT. So far, the quantitative standard to define an SCT has not reached a consensus. Some scholars defined SCT from the population perspective. For example, Oswalt, et al. [68] proposed that the urban population reduced as much as 10% reached a shrinkage. Meanwhile, some scholars used economic indicators to characterize SCT. For instance, Malamud [69] proposed to use the unemployment rate which is closely relevant to the overall economy of the city to represent the shrinkage of the city. Moreover, Alves, et al. [70] identified SCT by using demographic and economic changes in geospatial and scenic features.
(4)
In the future, as SCT has swept throughout regions in both developed and developing countries, the evaluation criteria may be different by adding other indicators. For example, Schetke and Haase [71] believed that SCT could be calculated by parameters including the rate of building demolition and renovation. Bontje [72] proposed to use the vacancy rate to express urban shrinkage. The evaluation criteria should be determined considering the local economic and social situations.
(5)
Finding solutions for the SCT problems has become the emphasis in SCT research. Despite the early studies on SCT characteristics, the recent research attempted to answer the questions of how to avoid and solve the problems of SCT. Local governments have formulated various strategies to deal with urban shrinkage. For example, Hospers [73] identified four strategies for issues involving urban governance and planning to respond to urban shrinkage. Farhan et al. [74,75] sorted out the historical changes of Najaf City, and committed to promoting and activating the protection of architectural heritage to realize the revival of the old city. Among the proposed strategies, effective planning is the dominant one to deal with urban shrinkage. It was recommended that planners should not only be responsible for “planning for growth”, but also be prepared to “plan for shrinkage”. For example, how to accurately predict the population size and population structure in the backdrop of SCT [76], and how to adjust the supply of urban infrastructure to adapt to the size and structure of the new population [77]. In addition, Hollander and Németh [56] proposed to adopt the mode of smart decline, that is, the city should be planned in a scientific, reasonable and appropriate way to avoid vicious competition between cities.
In the future, as the previous planning could not be changed, research on solving the SCT problems could focus more on urban renewal and regeneration. As claimed by Joo and Seo [78], to a certain extent, shrinkage is not the opposite of growth, but part of the expansion and austerity trend in the entire process of urbanization. Focusing on the renewal and utilization of the city’s stock space, SCT is an opportunity to prosper the city center. At a deeper level, SCT put new demands on the current urban government governance model. The government needs to rationally coordinate the relationship between the citizens and the land, and to reduce the waste of resources caused by the resistance to urban shrinkage. However, in order to realize city resilience, citizens were suggested to be extensively involved in the decision-making process concerning city revitalization.

4. Conclusions

SCT is an issue encountered during urban transformation and development, thus understanding its research status is essential for further enhancing relevant research. Through the network analysis, it was found that the early SCT research was mainly based on the causes, process, influence and the policy response of the government. In recent years, research has been gradually deepened and began to establish a comprehensive framework for SCT research. Furthermore, results show that Sustainability, Cities and European Planning Studies were the most influential publications in the SCT field. Research also demonstrated that Haase Annegret was identified with the highest average citation per individual publication. Developed countries have made great contributions to the study of SCT, such as the United States, Germany, and United Kingdom. The co-occurrence of keywords analysis identified the major clusters of SCT research, such as demographic change, land use change, deindustrialization, case comparison, urban environment, urban policy, urban planning, urban governance, and urban regeneration.
The research findings revealed in this study are useful for identifying the current research status and the key issues in SCT research. More importantly, it could help to highlight how the studies of SCT have evolved over time, greatly supporting the understanding of the basic structure of SCT research. At the same time, this study also guides the future research directions and puts forward higher requirements for urban planning. With the development of technology, more intelligent technologies, such as 5G technology, blockchain, and artificial intelligence, may be used to solve the technical problems in the process of urban shrinkage. However, this study also has some limitations. For instance, the data used in this study were based on the journal articles searched in Scopus; this may omit some relevant publications and studies in the form of conference papers and other types. The future studies could deal with such limitation by broadening the range of data source.

Author Contributions

Conceptualization, D.Z. and Z.W.; methodology, C.C.; validation, S.L.; formal analysis, D.Z.; investigation, C.C.; writing—original draft preparation, M.F.A.-A., Z.W. and B.T.; writing—review and editing, S.L. and J.F. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Guangdong Basic and Applied Basic Research Foundation, grant number 2019A1515110247; the National Natural Science Foundation of China, grant number 72001148; and the Research Start-up Funding in Shenzhen, grant number 000376.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

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

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Tan, Y.T.; Xu, H.; Zhang, X.L. Sustainable urbanization in China: A comprehensive literature review. Cities 2016, 55, 82–93. [Google Scholar] [CrossRef]
  2. Lou, Y.; Shen, L.; Huang, Z.; Wu, Y.; Li, H.; Li, G. Does the Effort Meet the Challenge in Promoting Low-Carbon City?—A Perspective of Global Practice. Int. J. Environ. Res. Public Health 2018, 15, 1334. [Google Scholar] [CrossRef]
  3. Wu, Z.; Yu, A.T.W.; Shen, L. Investigating the determinants of contractor’s construction and demolition waste management behavior in Mainland China. Waste Manag. 2017, 60, 290–300. [Google Scholar] [CrossRef]
  4. Downs, A. The Challenge of Our Declining Big Cities. Hous. Policy Debate 1997, 8, 359–408. [Google Scholar] [CrossRef]
  5. Popescu, C. Deindustrialization and urban shrinkage in Romania. What lessons for the spatial policy? Transylv. Rev. Adm. Sci. 2014, 10, 181–202. [Google Scholar]
  6. Lee, J.; Newman, G.; Park, Y. A Comparison of Vacancy Dynamics between Growing and Shrinking Cities Using the Land Transformation Model. Sustainability 2018, 10, 17. [Google Scholar] [CrossRef]
  7. Kaluarachchi, Y. Potential advantages in combining smart and green infrastructure over silo approaches for future cities. Front. Eng. Manag. 2021, 8, 98–108. [Google Scholar] [CrossRef]
  8. Martinez-Fernandez, C.; Audirac, I.; Fol, S.; Cunningham-Sabot, E. Shrinking Cities: Urban Challenges of Globalization. Int. J. Urban. Reg. Res. 2012, 36, 213–225. [Google Scholar] [CrossRef]
  9. Döringer, S.; Uchiyama, Y.; Penker, M.; Kohsaka, R. A meta-analysis of shrinking cities in Europe and Japan. Towards an integrative research agenda. Eur. Plan. Stud. 2019, 28, 1–20. [Google Scholar] [CrossRef]
  10. Pallagst, K.; Fleschurz, R.; Trapp, F. Greening the shrinking city—policies and planning approaches in the USA with the example of Flint, Michigan. Landsc. Res. 2017, 42, 716–727. [Google Scholar] [CrossRef]
  11. Howe, S.R.; Bier, T.; Allor, D.; Finnerty, T.; Green, P. The shrinking central city amidst growing suburbs: Case studies of Ohio’s inelastic cities. Urban Geogr. 1998, 19, 714–734. [Google Scholar] [CrossRef]
  12. Zhang, L.; Sun, X.J.; Xue, H. Identifying critical risks in Sponge City PPP projects using DEMATEL method: A case study of China. J. Clean. Prod. 2019, 226, 949–958. [Google Scholar] [CrossRef]
  13. Neill, W.J.V. Carry on Shrinking?: The Bankruptcy of Urban Policy in Detroit. Plan. Pract. Res. 2015, 30, 1–14. [Google Scholar] [CrossRef]
  14. Banica, A.; Istrate, M.; Muntele, I. Challenges for the Resilience Capacity of Romanian Shrinking Cities. Sustainability 2017, 9, 20. [Google Scholar] [CrossRef]
  15. Bai, G.H.; Wang, H.; Zheng, X.Q.; Dui, H.Y.; Xie, M. Improved resilience measure for component recovery priority in power grids. Front. Eng. Manag. 2021, 8, 545–556. [Google Scholar] [CrossRef]
  16. Rhodes, J.; Russo, J. Shrinking smart?: Urban redevelopment and shrinkage in Youngstown, Ohio. Urban Geogr. 2013, 34, 305–326. [Google Scholar] [CrossRef]
  17. Hartt, M. The diversity of North American shrinking cities. Urban Stud. 2018, 55, 2946–2959. [Google Scholar] [CrossRef]
  18. Rink, D.; Haase, A.; Grossmann, K.; Couch, C.; Cocks, M. From long-term shrinkage to re-growth? the urban development trajectories of Liverpool and Leipzig. Built Environ. 2012, 38, 162–178. [Google Scholar] [CrossRef]
  19. Boustan, L.; Shertzer, A. Population Trends as a Counterweight to Central City Decline, 1950-2000. Demography 2013, 50, 125–147. [Google Scholar] [CrossRef]
  20. Bucek, J.; Bleha, B. Urban shrinkage as a challenge to local development planning in Slovakia. Morav. Geogr. Rep. 2013, 21, 2–15. [Google Scholar] [CrossRef]
  21. Zaninetti, J.M.; Colten, C. Shrinking new Orleans: Post-katrina population adjustments. Urban Geogr. 2012, 33, 675–699. [Google Scholar] [CrossRef]
  22. He, S.Y.; Lee, J.; Zhou, T.; Wu, D. Shrinking cities and resource-based economy: The economic restructuring in China’s mining cities. Cities 2017, 60, 75–83. [Google Scholar] [CrossRef]
  23. Butters, C.; Cheshmehzangi, A.; Sassi, P. Cities, energy and climate: Seven reasons to question the dense high-rise city. J. Green Build. 2020, 15, 197–214. [Google Scholar] [CrossRef]
  24. Haase, A.; Rink, D.; Grossmann, K.; Bernt, M.; Mykhnenko, V. Conceptualizing urban shrinkage. Environ. Plan. A 2014, 46, 1519–1534. [Google Scholar] [CrossRef]
  25. Yang, L.; Liang, Y.; He, B.; Lu, Y.; Gou, Z. COVID-19 effects on property markets: The pandemic decreases the implicit price of metro accessibility. Tunn. Undergr. Space Technol. 2022, 125, 104528. [Google Scholar] [CrossRef]
  26. Yang, L.C.; Ao, Y.B.; Ke, J.T.; Lu, Y.; Liang, Y. To walk or not to walk? Examining non-linear effects of streetscape greenery on walking propensity of older adults. J. Transp. Geogr. 2021, 94, 103099. [Google Scholar] [CrossRef]
  27. Hartt, M.; Warkentin, J. The development and revitalisation of shrinking cities: A twin city comparison. Town Plan. Rev. 2017, 88, 29–41. [Google Scholar] [CrossRef]
  28. Wiechmann, T.; Pallagst, K.M. Urban shrinkage in Germany and the USA: A Comparison of Transformation Patterns and Local Strategies. Int. J. Urban Reg. Res. 2012, 36, 261–280. [Google Scholar] [CrossRef]
  29. Barreira, A.P.; Agapito, D.; Panagopoulos, T.; Guimaraes, M.H. Exploring residential satisfaction in shrinking cities: A decision-tree approach. Urban Res. Pract. 2017, 10, 156–177. [Google Scholar] [CrossRef]
  30. Lang, W.; Chen, T.; Li, X. A new style of urbanization in China: Transformation of urban rural communities. Habitat Int. 2016, 55, 1–9. [Google Scholar] [CrossRef]
  31. Dang, V.T.; Wang, J.; Dang, W.V.-T. An Integrated Fuzzy AHP and Fuzzy TOPSIS Approach to Assess Sustainable Urban Development in an Emerging Economy. Int. J. Environ. Res. Public Health 2019, 16, 2902. [Google Scholar] [CrossRef] [Green Version]
  32. Shi, G.; Shan, J.; Ding, L.; Ye, P.; Li, Y.; Jiang, N. Urban Road Network Expansion and Its Driving Variables: A Case Study of Nanjing City. Int. J. Environ. Res. Public Health 2019, 16, 2318. [Google Scholar] [CrossRef]
  33. Luo, X.; Liu, X.J.; Liu, Y.F.; Liu, J.P.; Wang, Y.X. Benefit-based cost allocation for residentially distributed photovoltaic systems in China: A cooperative game theory approach. Front. Eng. Manag. 2021, 8, 271–283. [Google Scholar] [CrossRef]
  34. Lang, W.; Long, Y.; Chen, T.; Li, X. Reinvestigating China’s urbanization through the lens of allometric scaling. Phys. a-Stat. Mech. Its Appl. 2019, 525, 1429–1439. [Google Scholar] [CrossRef]
  35. Li, X.; Hui, E.C.M.; Chen, T.; Lang, W.; Guo, Y. From Habitat III to the new urbanization agenda in China: Seeing through the practices of the “three old renewals” in Guangzhou. Land Use Policy 2019, 81, 513–522. [Google Scholar] [CrossRef]
  36. Wu, Z.; Yang, K.; Xue, H.; Zuo, J.; Li, S. Major barriers to information sharing in reverse logistics of construction and demolition waste. J. Clean. Prod. 2022, 350, 131331. [Google Scholar] [CrossRef]
  37. Cortese, C.; Haase, A.; Grossmann, K.; Ticha, I. Governing Social Cohesion in Shrinking Cities: The Cases of Ostrava, Genoa and Leipzig. Eur. Plan. Stud. 2014, 22, 2050–2066. [Google Scholar] [CrossRef]
  38. Haase, D.; Lautenbach, S.; Seppelt, R. Modeling and simulating residential mobility in a shrinking city using an agent-based approach. Environ. Model. Softw. 2010, 25, 1225–1240. [Google Scholar] [CrossRef]
  39. Martín-Martín, A.; Orduna-Malea, E.; Thelwall, M.; Delgado López-Cózar, E. Google Scholar, Web of Science, and Scopus: A systematic comparison of citations in 252 subject categories. J. Informetr. 2018, 12, 1160–1177. [Google Scholar] [CrossRef]
  40. Yi, W.; Chan, A.P.C. Critical review of labor productivity research in construction journals. J. Manag. Eng. 2014, 30, 214–225. [Google Scholar] [CrossRef]
  41. Zheng, X.; Le, Y.; Chan, A.P.C.; Hu, Y.; Li, Y. Review of the application of social network analysis (SNA) in construction project management research. Int. J. Proj. Manag. 2016, 34, 1214–1225. [Google Scholar] [CrossRef]
  42. Van Eck, N.J.; Waltman, L. Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics 2010, 84, 523–538. [Google Scholar] [CrossRef]
  43. Van Eck, N.J.; Waltman, L. Citation-based clustering of publications using CitNetExplorer and VOSviewer. Scientometrics 2017, 111, 1053–1070. [Google Scholar] [CrossRef]
  44. Wuni, I.Y.; Shen, G.; Robert, O.-K. Sustainability of off-site construction: A bibliometric review and visualized analysis of trending topics and themes. J. Green Build. 2020, 15, 131–153. [Google Scholar] [CrossRef]
  45. Wu, Z.; Chen, C.; Cai, Y.; Lu, C.; Wang, H.; Yu, T. BIM-Based Visualization Research in the Construction Industry: A Network Analysis. Int. J. Environ. Res. Public Health 2019, 16, 3473. [Google Scholar] [CrossRef]
  46. Waltman, L. A review of the literature on citation impact indicators. J. Informetr. 2016, 10, 365–391. [Google Scholar] [CrossRef]
  47. Hosseini, M.R.; Martek, I.; Zavadskas, E.K.; Aibinu, A.A.; Arashpour, M.; Chileshe, N. Critical evaluation of off-site construction research: A Scientometric analysis. Autom. Constr. 2018, 87, 235–247. [Google Scholar] [CrossRef]
  48. Deng, T.T.; Wang, D.D.; Yang, Y.; Yang, H. Shrinking cities in growing China: Did high speed rail further aggravate urban shrinkage? Cities 2019, 86, 210–219. [Google Scholar] [CrossRef]
  49. Nelle, A.; Grossmann, K.; Haase, D.; Kabisch, S.; Rink, D.; Wolff, M. Urban shrinkage in Germany: An entangled web of conditions, debates and policies. Cities 2017, 69, 116–123. [Google Scholar] [CrossRef]
  50. Schilling, J.; Logan, J. Greening the rust belt: A green infrastructure model for right sizing America’s shrinking cities. J. Am. Plan. Assoc. 2008, 74, 451–466. [Google Scholar] [CrossRef]
  51. Glaeser, E.L.; Gyourko, J. Urban decline and durable housing. J. Political Econ. 2005, 113, 345–375. [Google Scholar] [CrossRef] [Green Version]
  52. Haase, A.; Bernt, M.; Grossmann, K.; Mykhnenko, V.; Rink, D. Varieties of shrinkage in European cities. Eur. Urban Reg. Stud. 2016, 23, 86–102. [Google Scholar] [CrossRef]
  53. Rieniets, T. Shrinking cities: Causes and effects of urban population losses in the twentieth century. Nat. Cult. 2009, 4, 231–254. [Google Scholar] [CrossRef]
  54. Reckien, D.; Martinez-Fernandez, C. Why do cities shrink? Eur. Plan. Stud. 2011, 19, 1375–1397. [Google Scholar] [CrossRef]
  55. Rosenthal, S.S. Old homes, externalities, and poor neighborhoods. A model of urban decline and renewal. J. Urban Econ. 2008, 63, 816–840. [Google Scholar] [CrossRef]
  56. Hollander, J.B.; Nemeth, J. The bounds of smart decline: A foundational theory for planning shrinking cities. Hous. Policy Debate 2011, 21, 349–367. [Google Scholar] [CrossRef]
  57. Bernt, M. Partnerships for demolition: The governance of urban renewal in East Germany’s shrinking cities. Int. J. Urban Reg. Res. 2009, 33, 754–769. [Google Scholar] [CrossRef]
  58. Grossmann, K.; Bontje, M.; Haase, A.; Mykhnenko, V. Shrinking cities: Notes for the further research agenda. Cities 2013, 35, 221–225. [Google Scholar] [CrossRef]
  59. Kabisch, N.; Haase, D. Green spaces of European cities revisited for 1990–2006. Landsc. Urban Plan. 2013, 110, 113–122. [Google Scholar] [CrossRef]
  60. Németh, J.; Langhorst, J. Rethinking urban transformation: Temporary uses for vacant land. Cities 2014, 40, 143–150. [Google Scholar] [CrossRef]
  61. Couch, C.; Karecha, J.; Nuissl, H.; Rink, D. Decline and sprawl: An evolving type of urban development-Observed in Liverpool and Leipzig. Eur. Plan. Stud. 2005, 13, 117–136. [Google Scholar] [CrossRef]
  62. Rall, E.L.; Haase, D. Creative intervention in a dynamic city: A sustainability assessment of an interim use strategy for brownfields in Leipzig, Germany. Landsc. Urban Plan. 2011, 100, 189–201. [Google Scholar] [CrossRef]
  63. Emmanuel, R.; Krüger, E. Urban heat island and its impact on climate change resilience in a shrinking city: The case of Glasgow, UK. Build. Environ. 2012, 53, 137–149. [Google Scholar] [CrossRef]
  64. Wiechmann, T. Errors Expected-Aligning Urban Strategy with Demographic Uncertainty in Shrinking Cities. Int. Plan. Stud. 2008, 13, 431–446. [Google Scholar] [CrossRef]
  65. Martinez-Fernandez, C.; Weyman, T.; Fol, S.; Audirac, I.; Cunningham-Sabot, E.; Wiechmann, T.; Yahagi, H. Shrinking cities in Australia, Japan, Europe and the USA: From a global process to local policy responses. Prog. Plan. 2016, 105, 1–48. [Google Scholar] [CrossRef]
  66. Piantadosi, S.T. Zipf’s word frequency law in natural language: A critical review and future directions. Psychon. Bull. Rev. 2014, 21, 1112–1130. [Google Scholar] [CrossRef] [PubMed]
  67. Lee, J.S.; Won, S.; Kim, S. Describing Changes in the Built Environment of Shrinking Cities: Case Study of Incheon, South Korea. J. Urban Plan. Dev. 2016, 142, 10. [Google Scholar] [CrossRef]
  68. Oswalt, P.; Misselwitz, P.; Overmeyer, K. Patterns of the unplanned urban catalyst. In Loose Space: Possibility and Diversity in Urban Life; Routledge Taylor & Francis Group: London, UK, 2006; pp. 271–288. [Google Scholar]
  69. Malamud, B. Urban decline and the future of American cities. Ann. Reg. Sci. 1985, 19, 127–128. [Google Scholar]
  70. Alves, D.; Barreira, A.P.; Guimarães, M.H.; Panagopoulos, T. Historical trajectories of currently shrinking Portuguese cities: A typology of urban shrinkage. Cities 2016, 52, 20–29. [Google Scholar] [CrossRef]
  71. Schetke, S.; Haase, D. Multi-criteria assessment of socio-environmental aspects in shrinking cities. Experiences from eastern Germany. Environ. Impact Assess. Rev. 2008, 28, 483–503. [Google Scholar] [CrossRef]
  72. Bontje, M. Facing the challenge of shrinking cities in East Germany: The case of Leipzig. GeoJournal 2004, 61, 13–21. [Google Scholar] [CrossRef]
  73. Hospers, G.-J. Policy Responses to Urban Shrinkage: From Growth Thinking to Civic Engagement. Eur. Plan. Stud. 2014, 22, 1507–1523. [Google Scholar] [CrossRef]
  74. Farhan, S.L.; Akef, V.S.; Nasar, Z. Revitalizing the historical center of Al-Najaf city in Iraq: Learning from the British conservation experiences. J. Cult. Herit. Manag. Sustain. Dev. 2021. [Google Scholar] [CrossRef]
  75. Farhan, S.; Akef, V.; Nasar, Z. The transformation of the inherited historical urban and architectural characteristics of Al-Najaf’s Old City and possible preservation insights. Front. Archit. Res. 2020, 9, 820–836. [Google Scholar] [CrossRef]
  76. Bartholomae, F.; Nam, C.W.; Schoenberg, A. Urban shrinkage and resurgence in Germany. Urban Stud. 2017, 54, 2701–2718. [Google Scholar] [CrossRef]
  77. Faust, K.M.; Mannering, F.L.; Abraham, D.M. Statistical analysis of public perceptions of water infrastructure sustainability in shrinking cities. Urban Water J. 2016, 13, 618–628. [Google Scholar] [CrossRef]
  78. Joo, Y.M.; Seo, B. Dual policy to fight urban shrinkage: Daegu, South Korea. Cities 2018, 73, 128–137. [Google Scholar] [CrossRef]
Ijerph 19 11475 g001 550
Figure 1. Research flow chart for reviewing the SCT literature.
Figure 1. Research flow chart for reviewing the SCT literature.
Ijerph 19 11475 g001
Ijerph 19 11475 g002 550
Figure 2. Line graph of SCT in Scopus in 2000–2021.
Figure 2. Line graph of SCT in Scopus in 2000–2021.
Ijerph 19 11475 g002
Ijerph 19 11475 g003 550
Figure 3. Map of dominant journals in the field of SCT.
Figure 3. Map of dominant journals in the field of SCT.
Ijerph 19 11475 g003
Ijerph 19 11475 g004 550
Figure 4. Co-authors analysis in SCT articles.
Figure 4. Co-authors analysis in SCT articles.
Ijerph 19 11475 g004
Ijerph 19 11475 g005 550
Figure 5. Mapping of countries active in SCT-related study.
Figure 5. Mapping of countries active in SCT-related study.
Ijerph 19 11475 g005
Ijerph 19 11475 g006 550
Figure 6. Scientific mapping of article impact in SCT-related study.
Figure 6. Scientific mapping of article impact in SCT-related study.
Ijerph 19 11475 g006
Ijerph 19 11475 g007 550
Figure 7. Co-occurrence of keywords in SCT research.
Figure 7. Co-occurrence of keywords in SCT research.
Ijerph 19 11475 g007
Table
Table 1. List of journal source in SCT-related studies.
Table 1. List of journal source in SCT-related studies.
SourceNo. of
Publications		Total
Citations		Ave.
Citations		Ave. Norm. CitationsTotal Connection Strength
Sustainability5651190.7216
Cities351044302.0264
European Planning Studies26923361.3172
Urban Geography20409201.0119
International Journal of Urban and Regional Research15971651.8175
Urban Studies13410321.650
Landscape and Urban Planning12716602.261
Sustainable Cities and Society9188212.957
Environment and Planning a8404512.399
Urban Affairs Review8213271.233
Built Environment7191270.655
Urban Design International7115160.519
Housing Policy Debate6250421.861
Journal of the American Planning Association6547911.964
Land Use Policy6116191.422
Progress in Planning6326543.351
Table
Table 2. List of productive scholars in SCT-related studies.
Table 2. List of productive scholars in SCT-related studies.
ScholarNo. of
Articles		Total
Citations		Ave. Year PublishedAve.
Citation		Ave. Norm. Citations
Haase, Annegret2211832015542.1
Haase, Dagmar1612122013762.4
Grossmann, Katrin158702015582.2
Rink, Dieter1510152014682.3
Kabisch, Sigrun82722014341.2
Wolff, Manuel72132018302.1
Bernt, Matthias86782015853.0
Couch, Chris114932013451.8
Kantor-Pietraga, Iwona7752019111.5
Krzysztofik, Robert91902018211.5
Cocks, Matthew62712013451.3
Fol, Sylvie52172015431.7
Table
Table 3. List of active countries in SCT-related studies.
Table 3. List of active countries in SCT-related studies.
CountryNo. of
Publications		No. of
Citations		Ave. Year PublishedAve.
Citation		Ave. Norm. Citations
United States24350502016211.0
Germany10640112015381.5
China829872019121.3
United Kingdom7219682015271.2
Japan324872016151.3
Canada318252015271.4
Poland313642018121.0
Italy244332017180.9
Netherlands236122015271.4
France224822016221.2
Portugal173092017180.9
Australia93022017342.3
Table
Table 4. Details of articles citations in SCT.
Table 4. Details of articles citations in SCT.
AuthorNo. of CitationsAve. Norm. Citations
Schilling and Logan (2008) [50]4375.4
Glaeser and Gyourko (2005) [51]3874
Wiechmann and Pallagst (2012) [28]2605.6
Kabisch and Haase (2013) [59]1906.3
Nemeth and Langhorst (2014) [60]1826.3
Haase et al. (2014) [24]1786.2
Hollander and Nemeth (2011) [56]1755.1
Bernt (2009) [57]1723.5
Couch et al. (2005) [61]1671.7
Grossmann et al. (2013) [58]1515
Haase et al. (2016) [52]1486.3
Rosenthal (2008) [55]1381.7
Reckien and Martinez-Fernandez (2011) [54]1303.8
Rieniets (2009) [53]1192.5
Rall and Haase (2011) [62]1173.4
Emmanuel and Kruger (2012) [63]1132.4
Wiechmann (2008) [64]1121.4
Martinez-Fernandez et al. (2016) [65]1124.8
Table
Table 5. Summaries of main keywords in SCT.
Table 5. Summaries of main keywords in SCT.
KeywordsOccurrenceAve. Year PublishedAve.
Citation		Ave. Norm.
Citations		Total Connection Strength
Shrinking City2412017201.1161
Shrinkage1042018181.164
Urban Decline722015160.652
Planning342017140.932
Population Decline312018131.029
Urban Regeneration292018100.823
Detroit262017140.820
China222019151.917
Governance222016231.021
Vacant Land202017371.819
Sustainability182017160.712
Demographic Change152018171.014
Deindustrialization132015220.812
Gentrification132017200.910
Urbanization132018141.512
Demolition122016290.812
Japan122018171.711
Urban Growth122016371.69
Germany112016150.79
Green Infrastructure112016662.011
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Wu, Z.; Zhang, D.; Li, S.; Fei, J.; Chen, C.; Tian, B.; Antwi-Afari, M.F. Visualizing and Understanding Shrinking Cities and Towns (SCT) Research: A Network Analysis. Int. J. Environ. Res. Public Health 2022, 19, 11475. https://doi.org/10.3390/ijerph191811475

AMA Style

Wu Z, Zhang D, Li S, Fei J, Chen C, Tian B, Antwi-Afari MF. Visualizing and Understanding Shrinking Cities and Towns (SCT) Research: A Network Analysis. International Journal of Environmental Research and Public Health. 2022; 19(18):11475. https://doi.org/10.3390/ijerph191811475

Chicago/Turabian Style

Wu, Zezhou, Danting Zhang, Shenghan Li, Jianbo Fei, Changhong Chen, Bin Tian, and Maxwell Fordjour Antwi-Afari. 2022. "Visualizing and Understanding Shrinking Cities and Towns (SCT) Research: A Network Analysis" International Journal of Environmental Research and Public Health 19, no. 18: 11475. https://doi.org/10.3390/ijerph191811475

APA Style

Wu, Z., Zhang, D., Li, S., Fei, J., Chen, C., Tian, B., & Antwi-Afari, M. F. (2022). Visualizing and Understanding Shrinking Cities and Towns (SCT) Research: A Network Analysis. International Journal of Environmental Research and Public Health, 19(18), 11475. https://doi.org/10.3390/ijerph191811475

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