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The geography of city liveliness and consumption: evidence from location-based big data

Author

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

Abstract

Understanding the complexity in the connection between city liveliness and spatial configurationsfor consumptive amenities has been an important but understudied research field in fast urbanising countries like China. This paper presents the first step towards filling this gap though location-based big data perspectives. City liveliness is measured by aggregated spacetime human activity intensities using mobile phone positioning data.Consumptive amenities are identified by point-of-interest data from Chinese Yelp website (dian ping). The results provide the insights into the geographic contextual uncertainties of consumptive amenities in shaping the rise and fall in the vibrancy of city liveliness.

Suggested Citation

  • Wu, Wenjie & Wang, Jianghao & Li, Chengyu & Wang, Mark, 2016. "The geography of city liveliness and consumption: evidence from location-based big data," LSE Research Online Documents on Economics 83642, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:83642
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    File URL: http://eprints.lse.ac.uk/83642/
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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. 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.
    4. Nathan Schiff, 2015. "Cities and product variety: evidence from restaurants," Journal of Economic Geography, Oxford University Press, vol. 15(6), pages 1085-1123.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
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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.
    3. Shaojun Liu & Ling Zhang & Yi Long, 2019. "Urban Vitality Area Identification and Pattern Analysis from the Perspective of Time and Space Fusion," Sustainability, MDPI, vol. 11(15), pages 1-27, July.

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    More about this item

    Keywords

    big data; local linear estimator; city liveliness; consumption; China;
    All these keywords.

    JEL classification:

    • Q15 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment

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