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Matching of Residential and Commercial Space in Shrinking Cities from the Perspective of Supply and Demand: A Case Study of Yichun City, China

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Abstract

Urban shrinkage is becoming an increasingly common phenomenon in China. The research focus has been the identification, origin, and pattern of shrinking cities. Nevertheless, attention has also been paid to the problems associated with urban shrinkage. The present study examines one typical shrinking city in China, specifically the Yichun District in Yichun City. To explore the matching relationship between residential and commercial spaces, this study analyzes supply and demand data, electricity consumption data and multi-source points of interest (POI) of residents. The results showed that the occupancy rate is not reduced in the context of urban shrinkage, and that the supply level of various commercial facilities is not in decline. Apart from leisure and entertainment facilities, the supply levels of catering, shopping and supporting facilities for life were noted to have improved. In reference to urban shrinkage, the matching relationship between residential and commercial space in the 5-min, 10-min, and 15-min living circles mainly shifted to a high-level equilibrium. The matching relationships between residential space and different types of commercial spaces change in both direction and magnitude. From the perspective of supply and demand, the spatial and temporal changes in the relationship relate to multiple factors, such as the level of economic development, the buiding age pattern, public transportation accessibility, aging, and residents’ willingness to move. This study provides relevant data for managing urban shrinkage. It also helps improve the relationships between residential and commercial spaces and works to optimize the layout and structure of functional urban spaces.

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References

  • Aiello A, Ardone R G, Scopelliti M, 2010. Neighbourhood planning improvement: physical attributes, cognitive and affective evaluation and activities in two neighborhoods in Rome. Evaluation and Program Planning, 33(3): 264–275. doi: https://doi.org/10.1016/j.evalprogplan.2009.10.004

    Article  Google Scholar 

  • Atkinson A B, 1970. On the measurement of inequality. Journal of Economic Theory, 2(3): 244–263. doi: https://doi.org/10.1016/0022-0531(70)90039-6

    Article  Google Scholar 

  • Azmi D I, Karim H A, 2012. A comparative study of walking behaviour to community facilities in low-cost and medium cost housing. Procedia-Social and Behavioral Sciences, 35: 619–628. doi: https://doi.org/10.1016/j.sbspro.2012.02.129

    Article  Google Scholar 

  • Barreira A P, Agapito D, Panagopoulos T et al., 2017. Exploring residential satisfaction in shrinking cities: a decision-tree approach. Urban Research & Practice, 10(2): 156–177. doi: https://doi.org/10.1080/17535069.2016.1179784

    Google Scholar 

  • Bernt M, Haase A, Großmann K et al., 2014. How does(n’t) urban shrinkage get onto the agenda? Experiences from Leipzig, Liverpool, Genoa and Bytom. International Journal of Urban and Regional Research, 38(5): 1749–1766. doi: https://doi.org/10.1111/1468-2427.12101

    Article  Google Scholar 

  • Blanco H, Alberti M, Olshansky R et al., 2009. Shaken, shrinking, hot, impoverished and informal: emerging research agendas in planning. Progress in Planning, 72(4): 195–250. doi: https://doi.org/10.1016/j.progress.2009.09.001

    Article  Google Scholar 

  • Bontje M, 2004. Facing the challenge of shrinking cities in East Germany: the case of Leipzig. GeoJournal, 61(1): 13–21. doi: https://doi.org/10.1007/s10708-005-0843-2

    Article  Google Scholar 

  • Bookout L W, 1992. Neotraditional town planning: a new vision for the suburbs. Urban Land, 51(1): 20–26.

    Google Scholar 

  • Chai Yanwei, Weng Guilan, Shen Jie, 2008. A study on commercial structure of Shanghai based on residents’ shopping behavior. Geographical Research, 27(4): 897–906. (in Chinese)

    Google Scholar 

  • Chen Long, Zhang Zhibin, Zhang Yali et al., 2019. The rationality of spatial configuration of public service facilities in Lanzhou. Journal of Arid Land resources and Environment, 33(11): 120–127. (in Chinese)

    Google Scholar 

  • Chen Yang, Yue Wenze, Gao Jiabin, 2017. Identifying commercial complex trade areas and its value-added impact on housing: the case of Hangzhou. Economic Geography, 37(11): 68–75. (in Chinese)

    Google Scholar 

  • Crewe L, 2000. Geographies of retailing and consumption. Progress in Human Geography, 24(2): 275–290. doi: https://doi.org/10.1191/030913200670386318

    Article  Google Scholar 

  • Deener A, 2007. Commerce as the structure and symbol of neighborhood life: reshaping the meaning of community in Venice, California. City & Community, 6(4): 291–341. doi: https://doi.org/10.1111/j.1540-6040.2007.00229.x

    Article  Google Scholar 

  • Fu H, Zhou G, Sun H et al., 2022. Life satisfaction and migration intention of residents in shrinking cities: Case of Yichun City in China. Journal of Urban Planning and Development, 148(1): 05021062. doi: https://doi.org/10.1061/(ASCE)UP.194355444.0000791

    Article  Google Scholar 

  • Ganser R, Piro R, 2012. Parallel Patterns of Shrinking Cities and Urban Growth: Spatial Planning for Sustainable Development of City Regions and Rural Areas. Burlington: Ashgate.

    Google Scholar 

  • Gao Shuqi, 2015. A review of researches on shrinking cities. Urban Planning Forum, (3): 44–49. (in Chinese)

  • Gao Shuqi, Long Ying, 2017. Distinguishing and planning shrinking cities in Northeast China. Planners, 33(1): 26–32. (in Chinese)

    Google Scholar 

  • Haase A, Hospers G J, Pekelsma S et al., 2012. Shrinking Areas: Front-Runners in Innovative Citizen Participation. The Hague: European Urban Knowledge Network.

    Google Scholar 

  • Haase A, Rink D, Grossmann K et al., 2014. Conceptualizing urban shrinkage. Environment and Planning A:Economy and Space, 46(7): 1519–1534. doi: https://doi.org/10.1068/a46269

    Article  Google Scholar 

  • Häußermann H, Siebel W, 1988. Die schrumpfende Stadt und die Stadtsoziologie. In: Friedrichs J (ed). Soziologische Stadtforschung. Wiesbaden, Germany: VS Verlag für Sozialwissenschaften, 78–94. doi: https://doi.org/10.1007/978-3-322-83617-5_5

    Chapter  Google Scholar 

  • Hayton K, 2000. Scottish community business: an idea that has had its day. Policy & Politics, 28(2): 193–206. doi: https://doi.org/10.1332/0305573002500910

    Article  Google Scholar 

  • Li T F, Chen Y Y, Wang Z et al., 2019. Analysis of jobs-housing relationship and commuting characteristics around urban rail transit stations. IEEE Access, 7: 175083–175092. doi: https://doi.org/10.1109/ACCESS.2019.2957416

    Article  Google Scholar 

  • Liu Yanjun, Zhang Yining, Sun Hongri et al., 2021. Spatial-temporal differentiation and influence mechanism of housing vacancy in shrinking cities: Based on the perspective of residential electricity consumption. Scientia Geographica Sinica, 41(12): 2087–2095. (in Chinese)

    Google Scholar 

  • Lloyd W J, 1991. Changing suburban retail patterns in metropolitan Los Angeles. The Professional Geographer, 43(3): 335–344. doi: https://doi.org/10.1111/j.0033-0124.1991.00335.x

    Article  Google Scholar 

  • Long Ying, Wu Kang, Wang Jianghao, 2015. Shrinking cities in China. Modern Urban Research, (9): 14–19. (in Chinese)

  • Martinez-Fernandez C, Audirac I, Fol S et al., 2012. Shrinking cities: urban challenges of globalization. International Journal of Urban and Regional Research, 36(2): 213–225. doi: https://doi.org/10.1111/j.1468-2427.2011.01092.x

    Article  Google Scholar 

  • Meng Bin, Wang Jinfeng, Zhang Wenzhong et al., 2005. Evaluation of regional disparity in China based on spatial analysis. Scientia Georaphica Sinica, (4): 11–18. (in Chinese)

  • Meng Xiangfeng, Ma Shuang, Xiang Wenyi et al., 2021. Classification of shrinking cities in China using Baidu big data. Acta Geographica Sinica, 76(10): 2477–2488. (in Chinese)

    Google Scholar 

  • Nishimoto Y, Akiyama Y, Shibasaki R, 2016. Future estimation of convenience living facilities withdrawal due to population decline all over Japan from 2010 to 2040: focus on supermarkets, convenience stores and drugstores. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLI-B2: 223–226. doi: https://doi.org/10.5194/isprsarchives-XLI-B2-223-2016

    Article  Google Scholar 

  • Ogryczak W, 2007. Multicriteria models for fair resource allocation. Control and Cybernetics, 36(2): 303–332. doi: https://doi.org/10.1109/CERMA.2007.4367780

    Google Scholar 

  • Pagano M, Bowman A, 2004. Vacant land as opportunity and challenge. In: Greenstein R, Sungu-Eryilmaz Y (eds). Recycling the City: the Use and Reuse of Urban Land. Cambridge MA: Lincoln Institute.

    Google Scholar 

  • Perry C A, 1998. The Neighbourhood Unit: From the Regional Survey of New York and Its Environs. Volume VII, Neighbourhood and Community Planning. New York: Routledge/Thoemmes Press.

    Google Scholar 

  • Qi Wei, Liu Shenghe, Jin Fengjun, 2017. Calculation and spatial evolution of population loss in Northeast China. Scientia Geographica Sinica, 37(12): 1795–1804. (in Chinese)

    Google Scholar 

  • Qiao Fei, 2008. On how to calculate the vacancy rate of commercial housing in China. Contemporary Economics, (12): 12–13. (in Chinese)

  • Schetke S, Haase D, 2008. Multi-criteria assessment of socio-environmental aspects in shrinking cities. Experiences from eastern Germany. Environmental Impact Assessment Review, 28(7): 483–503. doi: https://doi.org/10.1016/j.eiar.2007.09.004

    Article  Google Scholar 

  • Schilling J, Logan J, 2008. Greening the rust belt: a green infrastructure model for right sizing America’s shrinking cities. Journal of the American Planning Association, 74(4): 451–466. doi: https://doi.org/10.1080/01944360802354956

    Article  Google Scholar 

  • Shen Qingxi, Li Chenggu, Liu Zhongyi et al., 2018. Spatial pattern of public service facilities space and living space in Changchun. Geographical Research, 37(11): 2249–2258. (in Chinese)

    Google Scholar 

  • Sun Tieshan, 2015. Spatial mismatch between residences and jobs by sectors in Beijing and its explanations. Geographical Research, 34(2): 351–363. (in Chinese)

    Google Scholar 

  • Tu Jianjun, Tang Siqi, Zhang Qian et al., 2019. Spatial heterogeneity of the effects of mountainous city pattern on catering industry location. Acta Geographica Sinica, 74(6): 1163–1177. (in Chinese)

    Google Scholar 

  • Wachter S, 2004. The Determinants of Neighborhood Transformations in Philadelphia-Identification and Analysis: the New Kensington Pilot Study. Pennsylvania: The Wharton School University of Pennsylvania.

    Google Scholar 

  • Wang Fang, Gao Xiaolu, 2015. Structure of commercial space and its coupling relationship with population distribution in Beijing. City Planning Review, 39(11): 23–29. (in Chinese)

    Google Scholar 

  • Wang Fuchen, Mo Tianwei, 2002. Spatial characteristic and urban spirit: a cultural analysis of new-styled Linong houses of Shanghai. New Architecture, (2): 19–21. (in Chinese)

  • Wood L, Frank L D, Giles-Corti B, 2010. Sense of community and its relationship with walking and neighborhood design. Social Science & Medicine, 70(9): 1381–1390. doi: https://doi.org/10.1016/j.socscimed.2010.01.021

    Article  Google Scholar 

  • Wu Danxian, Zhou Suhong, 2017. The matching pattern of housing-shopping space based on residents’ daily shopping behaviors: a case study of communities in Guangzhou, China. Scientia Geographica Sinica, 37(2): 228–235. (in Chinese)

    Google Scholar 

  • Xue Bing, Xiao Xiao, Li Jingzhong et al., 2019. POI-based spatial correlation of the residences and retail industry in Shenyang City. Scientia Geographica Sinica, 39(3): 442–449. (in Chinese)

    Google Scholar 

  • Ye Qiang, Cao Shiyi, Nie Chengfeng, 2012. Research on the correlativity of urban residential and commercial spatial structure evolution based on GIS: case of Changsha. Economic Geography, 32(5): 65–70. (in Chinese)

    Google Scholar 

  • Yu Wei, Yang Shuai, Guo Min et al., 2012. A research on commercial suburbanization in Beijing under the background of urban function dissemination. Geographical Research, 31(1): 123–134. (in Chinese)

    Google Scholar 

  • Zhang Baifa, Li Jingjing, Hu Zhiqiang et al., 2021. The influence of natural endowment and political district type on the economic development of Chinese counties. Geographical Research, 40(9): 2508–2525. (in Chinese)

    Google Scholar 

  • Zhao Fengjun, 2019. Don’t count on empty taxes. China Real Estate, (22): 23–25. (in Chinese)

  • Zhao Pengjun, Luo Jia, Hu Haoyu, 2021. Spatial match between residents’ daily life circle and public service facilities using big data analytics: a case of Beijing. Progress in Geography, 40(4): 541–553. (in Chinese)

    Article  Google Scholar 

  • Zhou Suhong, Lin Geng, Yan Xiaopei, 2008. The relationship among consumer’s travel behavior, urban commercial and residential spatial structure in Guangzhou, China. Acta Geographica Sinica, 63(4): 395–404. (in Chinese)

    Google Scholar 

  • Zhou Y, Li C G, Ma Z P et al., 2019. Identification of shrinkage and growth patterns of a shrinking city in China based on nighttime light data: a case study of Yichun. Sustainability, 11(24): 6906. doi: https://doi.org/10.3390/su11246906

    Article  Google Scholar 

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Correspondence to Yanjun Liu.

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Foundation item: Under the auspices of the National Natural Science Foundation of China (No. 42171191, 41771172), China Postdoctoral Science Foundation (No. 2018M641760), Education Department of Jilin Province (No. JJKH20201173KJ)

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Zhang, Y., Zhou, G., Liu, Y. et al. Matching of Residential and Commercial Space in Shrinking Cities from the Perspective of Supply and Demand: A Case Study of Yichun City, China. Chin. Geogr. Sci. 32, 389–404 (2022). https://doi.org/10.1007/s11769-022-1275-3

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