IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v10y2021i11p1144-d666037.html
   My bibliography  Save this article

Revealing Characteristics of the Spatial Structure of Megacities at Multiple Scales with Jobs-Housing Big Data: A Case Study of Tianjin, China

Author

Listed:
  • Ruixi Dong

    (School of Architecture, Tianjin University, Tianjin 300072, China)

  • Fengying Yan

    (School of Architecture, Tianjin University, Tianjin 300072, China)

Abstract

Urban spatial structure reflects the organization of urban land use and is closely related to the travel patterns of residents. The characteristics of urban spatial structure include both static and dynamic aspects. The static characteristics of urban spatial structure reflect the morphological features of space, and the dynamic characteristics of urban spatial structure reflect intra-city functional linkages. With the continuous agglomeration of population and industries; megacities have become the core spatial carriers leading China’s social and economic development; and their urban spatial structure has also been reconstructed. However; there is still a certain lack of understanding of the characteristics of the spatial structure of China’s megacities. This study aimed to reveal characteristics of the spatial structure of Chinese megacities at different scales using jobs-housing big data. To achieve this goal, spatial autocorrelation and a geographically weighted regression (GWR) model were applied to reveal static polycentricity, and community detection was used to reveal dynamic commuting communities. The distribution of jobs in urban space and jobs–housing balance levels in commuting communities were further analyzed. Experiments were conducted in Tianjin, China. We found that: (1) the static characteristics of the spatial structure of megacities presented the coexistence of polycentricity and a high degree of dispersion at macro- and meso-scales; (2) the dynamic characteristics of the spatial structure of megacities revealed two types of commuting communities at macro- and meso-scales and most commuting communities had a good jobs-housing balance. These findings can be referenced by urban managers and planners to formulate relevant policies for spatial distribution optimization of urban functions and transportation development at different spatial scales.

Suggested Citation

  • Ruixi Dong & Fengying Yan, 2021. "Revealing Characteristics of the Spatial Structure of Megacities at Multiple Scales with Jobs-Housing Big Data: A Case Study of Tianjin, China," Land, MDPI, vol. 10(11), pages 1-20, October.
    • Handle: RePEc:gam:jlands:v:10:y:2021:i:11:p:1144-:d:666037
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/10/11/1144/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/10/11/1144/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yue, Wenze & Wang, Tianyu & Liu, Yong & Zhang, Qun & Ye, Xinyue, 2019. "Mismatch of morphological and functional polycentricity in Chinese cities: An evidence from land development and functional linkage," Land Use Policy, Elsevier, vol. 88(C).
    2. Daniel P. McMillen, 2004. "Employment Densities, Spatial Autocorrelation, and Subcenters in Large Metropolitan Areas," Journal of Regional Science, Wiley Blackwell, vol. 44(2), pages 225-244, May.
    3. World Commission on Environment and Development,, 1987. "Our Common Future," OUP Catalogue, Oxford University Press, number 9780192820808.
    4. Monica Brezzi & Paolo Veneri, 2015. "Assessing Polycentric Urban Systems in the OECD: Country, Regional and Metropolitan Perspectives," European Planning Studies, Taylor & Francis Journals, vol. 23(6), pages 1128-1145, June.
    5. Marta C. González & César A. Hidalgo & Albert-László Barabási, 2009. "Understanding individual human mobility patterns," Nature, Nature, vol. 458(7235), pages 238-238, March.
    6. François Riguelle & Isabelle Thomas & Ann Verhetsel, 2007. "Measuring urban polycentrism: a European case study and its implications," Journal of Economic Geography, Oxford University Press, vol. 7(2), pages 193-215, March.
    7. Giuliano, Genevieve & Small, Kenneth A., 1991. "Subcenters in the Los Angeles region," Regional Science and Urban Economics, Elsevier, vol. 21(2), pages 163-182, July.
    8. Evert J Meijers & Martijn J Burger, 2010. "Spatial Structure and Productivity in US Metropolitan Areas," Environment and Planning A, , vol. 42(6), pages 1383-1402, June.
    9. Ludo Waltman & Nees Eck, 2013. "A smart local moving algorithm for large-scale modularity-based community detection," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 86(11), pages 1-14, November.
    10. J F McDonald & D P McMillen, 1990. "Employment Subcenters and Land Values in a Polycentric Urban Area: The Case of Chicago," Environment and Planning A, , vol. 22(12), pages 1561-1574, December.
    11. D. Brockmann & L. Hufnagel & T. Geisel, 2006. "The scaling laws of human travel," Nature, Nature, vol. 439(7075), pages 462-465, January.
    12. Xiping Yang & Zhixiang Fang & Ling Yin & Junyi Li & Yang Zhou & Shiwei Lu, 2018. "Understanding the Spatial Structure of Urban Commuting Using Mobile Phone Location Data: A Case Study of Shenzhen, China," Sustainability, MDPI, vol. 10(5), pages 1-14, May.
    13. Rachel Guillain & Julie Le Gallo & Celine Boiteux-Orain, 2006. "Changes in Spatial and Sectoral Patterns of Employment in Ile-de-France, 1978-97," Urban Studies, Urban Studies Journal Limited, vol. 43(11), pages 2075-2098, October.
    14. Wang, Donggen & Chai, Yanwei, 2009. "The jobs–housing relationship and commuting in Beijing, China: the legacy of Danwei," Journal of Transport Geography, Elsevier, vol. 17(1), pages 30-38.
    15. McMillen, Daniel P. & Smith, Stefani C., 2003. "The number of subcenters in large urban areas," Journal of Urban Economics, Elsevier, vol. 53(3), pages 321-338, May.
    16. Paolo Veneri, 2010. "Urban Polycentricity and the Costs of Commuting: Evidence from Italian Metropolitan Areas," Growth and Change, Wiley Blackwell, vol. 41(3), pages 403-429, September.
    17. Hui Li & Kunqiu Chen & Lei Yan & Yulin Zhu & Liuwen Liao & Yangle Chen, 2021. "Urban Land Use Transitions and the Economic Spatial Spillovers of Central Cities in China’s Urban Agglomerations," Land, MDPI, vol. 10(6), pages 1-27, June.
    18. Pengjun Zhao & Bin Lu & Gert de Roo, 2011. "The impact of urban growth on commuting patterns in a restructuring city: Evidence from Beijing," Papers in Regional Science, Wiley Blackwell, vol. 90(4), pages 735-754, November.
    19. McMillen, Daniel P., 2001. "Nonparametric Employment Subcenter Identification," Journal of Urban Economics, Elsevier, vol. 50(3), pages 448-473, November.
    20. Garrett Dash Nelson & Alasdair Rae, 2016. "An Economic Geography of the United States: From Commutes to Megaregions," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-23, November.
    21. Brian J. L. Berry, 1968. "Interdependency Of Spatial Structure And Spatial Behavior: A General Field Theory Formulation," Papers in Regional Science, Wiley Blackwell, vol. 21(1), pages 205-227, January.
    22. Liu, Xi & Gong, Li & Gong, Yongxi & Liu, Yu, 2015. "Revealing travel patterns and city structure with taxi trip data," Journal of Transport Geography, Elsevier, vol. 43(C), pages 78-90.
    23. Man Yuan & Mingrui Yan & Zhuoran Shan, 2021. "Is Compact Urban Form Good for Air Quality? A Case Study from China Based on Hourly Smartphone Data," Land, MDPI, vol. 10(5), pages 1-14, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yiyi Hu & Yi He & Yanlin Li, 2022. "Urban Spatial Development Based on Multisource Data Analysis: A Case Study of Xianyang City’s Integration into Xi’an International Metropolis," Sustainability, MDPI, vol. 14(7), pages 1-24, March.
    2. Bin Liu & Jiehua Lv, 2024. "Spatiotemporal Evolution and Tapio Decoupling Analysis of Energy-Related Carbon Emissions Using Nighttime Light Data: A Quantitative Case Study at the City Scale in Northeast China," Energies, MDPI, vol. 17(19), pages 1-26, September.
    3. Xuyang Kou & Jinqi Zhao & Weiguo Sang, 2024. "Impact of Typical Land Use Expansion Induced by Ecological Restoration and Protection Projects on Landscape Patterns," Land, MDPI, vol. 13(9), pages 1-24, September.
    4. Feng Ren & Jinbo Zhang & Xiuyun Yang, 2023. "Study on the Effect of Job Accessibility and Residential Location on Housing Occupancy Rate: A Case Study of Xiamen, China," Land, MDPI, vol. 12(4), pages 1-21, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jaume Masip Tresserra, 2012. "Identifying the Employment and Population Centers at regional and metropolitan scale: The Case of Catalonia and Barcelona," ERSA conference papers ersa12p70, European Regional Science Association.
    2. Jaume Masip Tresserra, 2012. "Does Employment Density death? Towards a new integrated methodology to identify and characterize Sub-Centres," ERSA conference papers ersa12p71, European Regional Science Association.
    3. Juan Zhu & Xinyi Niu & Cheng Shi, 2019. "The Influencing Factors of a Polycentric Employment System on Jobs-Housing Matching—A Case Study of Hangzhou, China," Sustainability, MDPI, vol. 11(20), pages 1-18, October.
    4. Lee, Sungwon & Lee, Bumsoo, 2014. "The influence of urban form on GHG emissions in the U.S. household sector," Energy Policy, Elsevier, vol. 68(C), pages 534-549.
    5. Xingjian Liu & Ben Derudder & Mingshu Wang, 2018. "Polycentric urban development in China: A multi-scale analysis," Environment and Planning B, , vol. 45(5), pages 953-972, September.
    6. Frederic Gilli, 2009. "Sprawl or Reagglomeration? The Dynamics of Employment Deconcentration and Industrial Transformation in Greater Paris," Urban Studies, Urban Studies Journal Limited, vol. 46(7), pages 1385-1420, June.
    7. Paolo VENERI, 2010. "The Identification of Sub-centres in Two Italian Metropolitan Areas: a Functional Approach," Working Papers 343, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    8. Jae Ik Kim & Chang Hwan Yeo & Jin-Hwi Kwon, 2014. "Spatial change in urban employment distribution in Seoul metropolitan city: clustering, dispersion and general dispersion," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 18(3), pages 355-372, November.
    9. Chunil Kim & Choongik Choi, 2019. "Towards Sustainable Urban Spatial Structure: Does Decentralization Reduce Commuting Times?," Sustainability, MDPI, vol. 11(4), pages 1-28, February.
    10. Paolo Veneri, 2018. "Urban spatial structure in OECD cities: Is urban population decentralising or clustering?," Papers in Regional Science, Wiley Blackwell, vol. 97(4), pages 1355-1374, November.
    11. Josep Roca Cladera & Carlos R. Marmolejo Duarte & Montserrat Moix, 2009. "Urban Structure and Polycentrism: Towards a Redefinition of the Sub-centre Concept," Urban Studies, Urban Studies Journal Limited, vol. 46(13), pages 2841-2868, December.
    12. Peng Ji & Lilin Yuan, 2023. "Whether polycentric spatial structure is conducive to regional coordinated development: A study on urban agglomerations in China," Growth and Change, Wiley Blackwell, vol. 54(4), pages 940-961, December.
    13. Carlos Marmolejo Duarte & Carlos Aguirre Nuñez & Eduardo Chica Mejia & Claudia Perez Prieto & Jaume Masip Tresserra, 2011. "Polycentrism in the Spanish metropolitan system: an analysis for 7 metro areas," ERSA conference papers ersa11p119, European Regional Science Association.
    14. Miquel-Àngel García-López, 2010. "The Accessibility City. When Transport Infrastructure Matters in Urban Spatial Structure," Working Papers XREAP2010-01, Xarxa de Referència en Economia Aplicada (XREAP), revised Feb 2010.
    15. Hui Wang & Feng Yuan & Yehua Dennis Wei & Wen Chen & Lei Wang, 2021. "Understanding spatial and compositional dynamics of employment centers in urban China: Empirical evidence from Nanjing," Growth and Change, Wiley Blackwell, vol. 52(4), pages 2635-2661, December.
    16. Robert Manduca, 2021. "The spatial structure of US metropolitan employment: New insights from administrative data," Environment and Planning B, , vol. 48(5), pages 1357-1372, June.
    17. Liang Ding & Cheng Shi & Xinyi Niu, 2020. "Evaluation of Plan Implementation in the Fast-Growing Chinese Mega-City: A Case of a Polycentric System in Hangzhou Core Built-Up Area," Sustainability, MDPI, vol. 12(5), pages 1-18, February.
    18. Liz Rodríguez-Gámez & Sandy Dallerba, 2012. "Spatial Distribution of Employment in Hermosillo, 1999–2004," Urban Studies, Urban Studies Journal Limited, vol. 49(16), pages 3663-3678, December.
    19. Juan Zhu & Xinyi Niu & Yao Wang, 2024. "Polycentric Urban Spatial Structure Identification Based on Morphological and Functional Dimensions: Evidence from Three Chinese Cities," Sustainability, MDPI, vol. 16(6), pages 1-22, March.
    20. Daquan Huang & Xiaoqing Yang & Zhen Liu & Xingshuo Zhao & Fanhao Kong, 2018. "The Dynamic Impacts of Employment Subcenters on Residential Land Price in Transitional China: An Examination of the Beijing Metropolitan Area," Sustainability, MDPI, vol. 10(4), pages 1-22, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:10:y:2021:i:11:p:1144-:d:666037. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.