IDEAS home Printed from https://ideas.repec.org/a/sae/envirb/v50y2023i1p130-145.html
   My bibliography  Save this article

Measuring urban nighttime vitality and its relationship with urban spatial structure: A data-driven approach

Author

Listed:
  • Chao Wu
  • Minwei Zhao
  • Yu Ye

Abstract

Nighttime vitality has garnered attention in recent years as an important indicator reflecting urban economy and quality of life. However, it is difficult to characterize this intangible issue. As a response, this study employed a data-driven approach to measure nighttime vitality and explored its relationships with urban spatial structure. Specifically, the data from Meituan.com—the largest Chinese shopping platform for local consumer products and retail services—were used to measure nighttime vitality based on a hierarchical weighting method. Multidimensional characteristics of the urban spatial structure were evaluated. Spatial regression models were conducted on the effect analysis of urban spatial structure on nighttime vitality. Relationship estimations were statistically significant with indicators, such as block functions, building density, interaction density, enclosure of locals, and the age structure of the main population. Our findings provide a more complete understanding of nighttime vitality, which is often overlooked in urban vitality studies. Insights derived from this study could help formulate spatial strategies to enhance nighttime vitality and quality of life.

Suggested Citation

  • Chao Wu & Minwei Zhao & Yu Ye, 2023. "Measuring urban nighttime vitality and its relationship with urban spatial structure: A data-driven approach," Environment and Planning B, , vol. 50(1), pages 130-145, January.
    • Handle: RePEc:sae:envirb:v:50:y:2023:i:1:p:130-145
    DOI: 10.1177/23998083221108191
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/23998083221108191
    Download Restriction: no
    File URL: https://libkey.io/10.1177/23998083221108191?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
    ---><---

    References listed on IDEAS

    as
    1. Young, Mischa & Farber, Steven, 2019. "The who, why, and when of Uber and other ride-hailing trips: An examination of a large sample household travel survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 383-392.
    2. Alex Anas & Richard Arnott & Kenneth A. Small, 1998. "Urban Spatial Structure," Journal of Economic Literature, American Economic Association, vol. 36(3), pages 1426-1464, September.
    3. Xiao, Chaowei & Silva, Elisabete A. & Zhang, Chuchu, 2020. "Nine-nine-six work system and people’s movement patterns: Using big data sets to analyse overtime working in Shanghai," Land Use Policy, Elsevier, vol. 90(C).
    4. Martijn Burger & Evert Meijers, 2012. "Form Follows Function? Linking Morphological and Functional Polycentricity," Urban Studies, Urban Studies Journal Limited, vol. 49(5), pages 1127-1149, April.
    5. Su, Shiliang & Zhou, Hao & Xu, Mengya & Ru, Hu & Wang, Wen & Weng, Min, 2019. "Auditing street walkability and associated social inequalities for planning implications," Journal of Transport Geography, Elsevier, vol. 74(C), pages 62-76.
    6. Wu, Chao & Du, Yihao & Li, Sheng & Liu, Pengyu & Ye, Xinyue, 2022. "Does visual contact with green space impact housing pricesʔ An integrated approach of machine learning and hedonic modeling based on the perception of green space," Land Use Policy, Elsevier, vol. 115(C).
    7. Mahmood, Atiya & Chaudhury, Habib & Michael, Yvonne L. & Campo, Michael & Hay, Kara & Sarte, Ann, 2012. "A photovoice documentation of the role of neighborhood physical and social environments in older adults’ physical activity in two metropolitan areas in North America," Social Science & Medicine, Elsevier, vol. 74(8), pages 1180-1192.
    8. J. Paul Elhorst, 2003. "Specification and Estimation of Spatial Panel Data Models," International Regional Science Review, , vol. 26(3), pages 244-268, July.
    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. Zuo, Jialing & Zheng, Wei & Hong, Jingke, 2024. "Interactions between centrality and commuting costs in a mountainous city: Implications for jobs-housing relationships and land use policies," Land Use Policy, Elsevier, vol. 137(C).
    2. 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.
    3. Chen Zhong & Markus Schläpfer & Stefan Müller Arisona & Michael Batty & Carlo Ratti & Gerhard Schmitt, 2017. "Revealing centrality in the spatial structure of cities from human activity patterns," Urban Studies, Urban Studies Journal Limited, vol. 54(2), pages 437-455, February.
    4. Antti Vasanen, 2012. "Functional Polycentricity: Examining Metropolitan Spatial Structure through the Connectivity of Urban Sub-centres," Urban Studies, Urban Studies Journal Limited, vol. 49(16), pages 3627-3644, December.
    5. Antti Vasanen, 2013. "Spatial Integration and Functional Balance in Polycentric Urban Systems: A Multi-Scalar Approach," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 104(4), pages 410-425, September.
    6. Wenzheng Li & Stephan Schmidt, 2024. "The spatial‐temporal evolution of urban development patterns in Chinese cities: Dynamics and interpretations," Growth and Change, Wiley Blackwell, vol. 55(2), June.
    7. Paolo VENERI & David BURGALASSI, 2011. "Spatial Structure and Productivity in Italian NUTS-3 Regions," Working Papers 364, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    8. 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.
    9. Angelika Münter & Kati Volgmann, 2021. "Polycentric regions: Proposals for a new typology and terminology," Urban Studies, Urban Studies Journal Limited, vol. 58(4), pages 677-695, March.
    10. Cayo Costa & Sugie Lee, 2019. "The Evolution of Urban Spatial Structure in Brasília: Focusing on the Role of Urban Development Policies," Sustainability, MDPI, vol. 11(2), pages 1-21, January.
    11. Cats, Oded & Wang, Qian & Zhao, Yu, 2015. "Identification and classification of public transport activity centres in Stockholm using passenger flows data," Journal of Transport Geography, Elsevier, vol. 48(C), pages 10-22.
    12. Yong Liu & Peilei Fan & Wenze Yue & Jingnan Huang & Dong Li & Zongshun Tian, 2019. "Assessing Polycentric Urban Development in Mountainous Cities: The Case of Chongqing Metropolitan Area, China," Sustainability, MDPI, vol. 11(10), pages 1-15, May.
    13. Ivan Muñiz & Miguel-Àngel García-López, 2012. "Chaos and order in the contemporary city. The impact of urban spatial structure on population density and commuting distance in Barcelona, 1986-2001," Working Papers wpdea1207, Department of Applied Economics at Universitat Autonoma of Barcelona.
    14. Michiel van Meeteren & Ate Poorthuis & Ben Derudder & Frank Witlox, 2016. "Pacifying Babel’s Tower: A scientometric analysis of polycentricity in urban research," Urban Studies, Urban Studies Journal Limited, vol. 53(6), pages 1278-1298, May.
    15. Hui Cheng & David Shaw, 2021. "POLYCENTRIC DEVELOPMENT AND THE FORMATION OF EDGE URBAN AREAS IN CHINA'S MEGA CITY REGIONS: Case Study of Nansha, Guangzhou," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 45(6), pages 1009-1027, November.
    16. Michael Wurm & Jan Goebel & Gert G Wagner & Matthias Weigand & Stefan Dech & Hannes Taubenböck, 2021. "Inferring floor area ratio thresholds for the delineation of city centers based on cognitive perception," Environment and Planning B, , vol. 48(2), pages 265-279, February.
    17. Evert Meijers & Martijn Burger & Martijn J. Burger & Evert J. Meijers, 2016. "Agglomerations and the rise of urban network externalities," Papers in Regional Science, Wiley Blackwell, vol. 95(1), pages 5-15, March.
    18. repec:rri:wpaper:201303 is not listed on IDEAS
    19. Konon, Alexander & Fritsch, Michael & Kritikos, Alexander S., 2018. "Business cycles and start-ups across industries: An empirical analysis of German regions," Journal of Business Venturing, Elsevier, vol. 33(6), pages 742-761.
    20. Acocella Nicola & Di Bartolomeo Giovanni, 2013. "Population location, commuting and local public goods: A political economy approach," wp.comunite 0105, Department of Communication, University of Teramo.
    21. Bergeaud, Antonin & Raimbault, Juste, 2020. "An empirical analysis of the spatial variability of fuel prices in the United States," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 131-143.

    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:sae:envirb:v:50:y:2023:i:1:p:130-145. 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: SAGE Publications (email available below). General contact details of provider: .

    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.