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The Geography of City Liveliness and Land Use Configurations: Evidence from Location-Based Big Data in Beijing

Author

Listed:
  • Chengyu Li
  • Mark Wang
  • Jianghao Wang
  • Wenjie Wu

Abstract

This paper explores the complexity in the connection between city liveliness and land use configurations for housing and consumption amenities. The sources of this complexity are captured by an integrated spatial and temporal non-stationary modelling approach that uses local linear methods to estimate heterogeneous dynamics of the spatial-temporal process. City liveliness is measured by aggregated space-time human activity intensities using mobile phone positioning data from Beijing. We find that the land use configurations for housing amenities contribute little to city liveliness, whereas consumption amenities play a significant role in attracting human activity intensities. However, such effects vary substantially over space and during a 24-hour life span. These results provide the estimates of the changes in hourly human activity distribution that would influence the form of social engagement, development patterns, and public investment policy.

Suggested Citation

  • Chengyu Li & Mark Wang & Jianghao Wang & Wenjie Wu, 2016. "The Geography of City Liveliness and Land Use Configurations: Evidence from Location-Based Big Data in Beijing," SERC Discussion Papers 0201, Centre for Economic Performance, LSE.
    • Handle: RePEc:cep:sercdp:0201
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    References listed on IDEAS

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    1. Siqi Zheng & Weizeng Sun & Jianfeng Wu & Matthew E. Kahn, 2015. "The Birth of Edge Cities in China: Measuring the Spillover Effects of Industrial Parks," NBER Working Papers 21378, National Bureau of Economic Research, Inc.
    2. Siqi Zheng & Matthew E. Kahn, 2013. "Does Government Investment in Local Public Goods Spur Gentrification? Evidence from Beijing," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 41(1), pages 1-28, March.
    3. Manaugh, Kevin & Kreider, Tyler, 2013. "What is mixed use? Presenting an interaction method for measuring land use mix," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 6(1), pages 63-72.
    4. Emmanouil Tranos & Peter Nijkamp, 2015. "Mobile phone usage in complex urban systems: a space–time, aggregated human activity study," Journal of Geographical Systems, Springer, vol. 17(2), pages 157-185, April.
    5. Wenjie Wu & Jianghao Wang & Tianshi Dai, 2016. "The Geography of Cultural Ties and Human Mobility: Big Data in Urban Contexts," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 106(3), pages 612-630, May.
    6. Max Nathan & Neil Lee, 2013. "Cultural Diversity, Innovation, and Entrepreneurship: Firm-level Evidence from London," Economic Geography, Clark University, vol. 89(4), pages 367-394, October.
    7. Nathan Schiff, 2015. "Cities and product variety: evidence from restaurants," Journal of Economic Geography, Oxford University Press, vol. 15(6), pages 1085-1123.
    8. Chris Jacobs-Crisioni & Piet Rietveld & Eric Koomen & Emmanouil Tranos, 2014. "Evaluating the Impact of Land-Use Density and Mix on Spatiotemporal Urban Activity Patterns: An Exploratory Study Using Mobile Phone Data," Environment and Planning A, , vol. 46(11), pages 2769-2785, November.
    9. Stan Openshaw & Yannis Veneris, 2003. "Numerical Experiments with Central Place Theory and Spatial Interaction Modelling," Environment and Planning A, , vol. 35(8), pages 1389-1403, August.
    10. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    11. Kunpeng Li & Degui Li & Zhongwen Liang & Cheng Hsiao, 2017. "Estimation of semi-varying coefficient models with nonstationary regressors," Econometric Reviews, Taylor & Francis Journals, vol. 36(1-3), pages 354-369, March.
    12. Zheng, Siqi & Kahn, Matthew E., 2008. "Land and residential property markets in a booming economy: New evidence from Beijing," Journal of Urban Economics, Elsevier, vol. 63(2), pages 743-757, March.
    13. AnnaLee Saxenian & Charles Sabel, 2008. "Roepke Lecture in Economic Geography Venture Capital in the “Periphery”: The New Argonauts, Global Search, and Local Institution Building," Economic Geography, Taylor & Francis Journals, vol. 84(4), pages 379-394, October.
    14. Zheng, Siqi & Hu, Xiaoke & Wang, Jianghao & Wang, Rui, 2016. "Subways near the subway: Rail transit and neighborhood catering businesses in Beijing," Transport Policy, Elsevier, vol. 51(C), pages 81-92.
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    Cited by:

    1. Lingjun Tang & Yu Lin & Sijia Li & Sheng Li & Jingyi Li & Fu Ren & Chao Wu, 2018. "Exploring the Influence of Urban Form on Urban Vibrancy in Shenzhen Based on Mobile Phone Data," Sustainability, MDPI, vol. 10(12), pages 1-21, December.
    2. Wenze Yue & Yang Chen & Qun Zhang & Yong Liu, 2019. "Spatial Explicit Assessment of Urban Vitality Using Multi-Source Data: A Case of Shanghai, China," Sustainability, MDPI, vol. 11(3), pages 1-20, January.

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    More about this item

    Keywords

    big data; GTWR; local linear estimator; city liveliness; land use; China;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • P25 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - Urban, Rural, and Regional Economics

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