IDEAS home Printed from https://ideas.repec.org/a/eee/lauspo/v78y2018icp726-738.html
   My bibliography  Save this article

The impact of urban growth patterns on urban vitality in newly built-up areas based on an association rules analysis using geographical ‘big data’

Author

Listed:
  • He, Qingsong
  • He, Weishan
  • Song, Yan
  • Wu, Jiayu
  • Yin, Chaohui
  • Mou, Yanchuan

Abstract

The emergence of geographical ‘big data’ provides new opportunities for studying urban issues. This study uses geographical ‘big data’ on point of interest density (POID), degree of urban function mixing (MIX), location check-in density (CIQD), housing prices (HP), and population change (POPC) to measure the urban vitality of patches of new development that occurred in Chinese cities from 2005 to 2015. The study uses association rule analysis to explore the relationship between different urban growth patterns on urban vitality, and the results indicate that different forms of urban growth have different effects on urban vitality. Infilling is characterized by high values for point of interest density and location check-in density with low values for urban function mixing and mixed values for population change. Edge-expansion is associated with high values for population change and urban function mixtures. Outlying expansion is associated with several negative values for urban vitality, particularly variables related to interactions between people and the environment around them (CIQD). The results indicate that cities may utilize these different forms of urban growth patterns to achieve different goals; for example, infilling may be more effective for office-style development in areas with existing higher population density and urban function mixtures, and edge-expansion may be effective for rapidly absorbing large populations and hosting urban functions that require larger footprints. As such, Chinese cities currently undergoing early stages of development should pursue high-intensity edge-expansion development. To the best of the authors’ knowledge, this is the first attempt to study the relationship between urban expansion types and urban vitality through the use of ‘big data,’ and the results of this study can provide guidance on urban spatial development for government leaders and researchers in the future.

Suggested Citation

  • He, Qingsong & He, Weishan & Song, Yan & Wu, Jiayu & Yin, Chaohui & Mou, Yanchuan, 2018. "The impact of urban growth patterns on urban vitality in newly built-up areas based on an association rules analysis using geographical ‘big data’," Land Use Policy, Elsevier, vol. 78(C), pages 726-738.
    • Handle: RePEc:eee:lauspo:v:78:y:2018:i:c:p:726-738
    DOI: 10.1016/j.landusepol.2018.07.020
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264837718306938
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.landusepol.2018.07.020?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ali Modarres, 2011. "Polycentricity, Commuting Pattern, Urban Form: The Case of Southern California," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 35(6), pages 1193-1211, November.
    2. Xingjian Liu & Ben Derudder & Kang Wu, 2016. "Measuring Polycentric Urban Development in China: An Intercity Transportation Network Perspective," Regional Studies, Taylor & Francis Journals, vol. 50(8), pages 1302-1315, August.
    3. Antonio M. Bento & Maureen L. Cropper & Ahmed Mushfiq Mobarak & Katja Vinha, 2005. "The Effects of Urban Spatial Structure on Travel Demand in the United States," The Review of Economics and Statistics, MIT Press, vol. 87(3), pages 466-478, August.
    4. Colin Vance & Ralf Hedel, 2007. "The impact of urban form on automobile travel: disentangling causation from correlation," Transportation, Springer, vol. 34(5), pages 575-588, September.
    5. He, Mingwei & Zhao, Shengchuan & He, Min, 2016. "Tolerance threshold of commuting time: Evidence from Kunming, China," Journal of Transport Geography, Elsevier, vol. 57(C), pages 1-7.
    6. Zhao, Pengjun & Lü, Bin & Roo, Gert de, 2011. "Impact of the jobs-housing balance on urban commuting in Beijing in the transformation era," Journal of Transport Geography, Elsevier, vol. 19(1), pages 59-69.
    7. Chaogui Kang & Yu Liu & Xiujun Ma & Lun Wu, 2012. "Towards Estimating Urban Population Distributions from Mobile Call Data," Journal of Urban Technology, Taylor & Francis Journals, vol. 19(4), pages 3-21, October.
    8. Li, Si-ming & Liu, Yi, 2016. "The jobs-housing relationship and commuting in Guangzhou, China: Hukou and dual structure," Journal of Transport Geography, Elsevier, vol. 54(C), pages 286-294.
    Full references (including those not matched with items on IDEAS)

    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. Keone Kelobonye & Feng Mao & Jianhong (Cecilia) Xia & Mohammad Shahidul Hasan Swapan & Gary McCarney, 2019. "The Impact of Employment Self-Sufficiency Measures on Commuting Time: Case Study of Perth, Australia," Sustainability, MDPI, vol. 11(5), pages 1-21, March.
    2. Heres-Del-Valle, David & Niemeier, Deb, 2011. "CO2 emissions: Are land-use changes enough for California to reduce VMT? Specification of a two-part model with instrumental variables," Transportation Research Part B: Methodological, Elsevier, vol. 45(1), pages 150-161, January.
    3. Islam, Md Rabiul & Saphores, Jean-Daniel M., 2022. "An L.A. story: The impact of housing costs on commuting," Journal of Transport Geography, Elsevier, vol. 98(C).
    4. Ahfeldt, Gabriel M. & Pietrostefani, Elisabetta, 2017. "The compact city in empirical research: A quantitative literature review," LSE Research Online Documents on Economics 83638, London School of Economics and Political Science, LSE Library.
    5. Karen C Seto & Michail Fragkias & Burak Güneralp & Michael K Reilly, 2011. "A Meta-Analysis of Global Urban Land Expansion," PLOS ONE, Public Library of Science, vol. 6(8), pages 1-9, August.
    6. Ahlfeldt, Gabriel M. & Pietrostefani, Elisabetta, 2019. "The economic effects of density: A synthesis," Journal of Urban Economics, Elsevier, vol. 111(C), pages 93-107.
    7. Huang, Xiaoyan & (Jason) Cao, Xinyu & Yin, Jiangbin & Cao, Xiaoshu, 2019. "Can metro transit reduce driving? Evidence from Xi'an, China," Transport Policy, Elsevier, vol. 81(C), pages 350-359.
    8. Kulmer, Veronika & Koland, Olivia & Steininger, Karl W. & Fürst, Bernhard & Käfer, Andreas, 2014. "The interaction of spatial planning and transport policy: A regional perspective on sprawl," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 7(1), pages 57-77.
    9. Zhang, Mengzhu & He, Shenjing & Zhao, Pengjun, 2018. "Revisiting inequalities in the commuting burden: Institutional constraints and job-housing relationships in Beijing," Journal of Transport Geography, Elsevier, vol. 71(C), pages 58-71.
    10. Bindong Sun & Tinglin Zhang & Zhou He & Rui Wang, 2017. "Urban Spatial Structure And Motorization In China," Journal of Regional Science, Wiley Blackwell, vol. 57(3), pages 470-486, June.
    11. Xiaoyun Li & Hongsheng Chen & Yu Shi & Feng Shi, 2019. "Transportation Equity in China: Does Commuting Time Matter?," Sustainability, MDPI, vol. 11(21), pages 1-17, October.
    12. Chattopadhyay Sudip & Taylor Emily, 2012. "Do Smart Growth Strategies Have a Role in Curbing Vehicle Miles Traveled? A Further Assessment Using Household Level Survey Data," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 12(1), pages 1-29, September.
    13. Zhang, Mengzhu & Zhao, Pengjun, 2021. "Literature review on urban transport equity in transitional China: From empirical studies to universal knowledge," Journal of Transport Geography, Elsevier, vol. 96(C).
    14. Li, Chunjiang & Zhang, Yan & Chai, Yanwei, 2021. "Do spatial factors outweigh institutional factors? Changes in influencing factors of home-work separation from 2007 to 2017 in Beijing," Journal of Transport Geography, Elsevier, vol. 96(C).
    15. Liu, Jixiang & Xiao, Longzhu, 2023. "Non-linear relationships between built environment and commuting duration of migrants and locals," Journal of Transport Geography, Elsevier, vol. 106(C).
    16. Modarres, Ali, 2013. "Commuting and energy consumption: toward an equitable transportation policy," Journal of Transport Geography, Elsevier, vol. 33(C), pages 240-249.
    17. Xiaoquan Wang & Weifeng Wang & Chaoying Yin, 2023. "Exploring the Relationships between Multilevel Built Environments and Commute Durations in Dual-Earner Households: Does Gender Matter?," IJERPH, MDPI, vol. 20(6), pages 1-17, March.
    18. Lara Engelfriet & Eric Koomen, 2018. "The impact of urban form on commuting in large Chinese cities," Transportation, Springer, vol. 45(5), pages 1269-1295, September.
    19. Zhiyuan Yao & Changjoo Kim, 2019. "The Changes of Urban Structure and Commuting: An Application to Metropolitan Statistical Areas in the United States," International Regional Science Review, , vol. 42(1), pages 3-30, January.
    20. Tae-Hyoung Gim, 2012. "A meta-analysis of the relationship between density and travel behavior," Transportation, Springer, vol. 39(3), pages 491-519, May.

    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:eee:lauspo:v:78:y:2018:i:c:p:726-738. 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: Joice Jiang (email available below). General contact details of provider: https://www.journals.elsevier.com/land-use-policy .

    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.