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Development of a Chrono‐Urbanism Status Composite Index under the 5/10/15‐Minute City Concept Using Social Media Big Data

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  • Dong Liu
  • Mei‐Po Kwan
  • Lan Wang
  • Zihan Kan
  • Jianying Wang
  • Jingbo Huang

Abstract

Developing walkable urban environments is crucial for enhancing urban liveability and sustainability. To evaluate the chrono‐urbanism status, this study combines conventional census and mapping data with social media check‐in big data. A composite index is proposed, which assesses the accessibility of essential urban functions under the 5/10/15‐minute chrono‐thresholds. This index incorporates five categories of urban functions (public transit, living, education, health care and entertainment) in Macau. Utilising check‐in information from Sina Weibo, the level of attraction for different urban functions is integrated into the calculation. The findings highlight significant disparities in chrono‐urbanism status, with regions inhabited by lower socio‐economic status residents being more vulnerable than the affluent institutional and commercial centre of Macau. Leveraging social media big data, this study provides valuable insights to urban planners and policy‐makers, enabling them to understand the overall chrono‐urbanism status and target interventions for developing a more sustainable and liveable urban environment in Macau.

Suggested Citation

  • Dong Liu & Mei‐Po Kwan & Lan Wang & Zihan Kan & Jianying Wang & Jingbo Huang, 2024. "Development of a Chrono‐Urbanism Status Composite Index under the 5/10/15‐Minute City Concept Using Social Media Big Data," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 115(4), pages 554-570, September.
    • Handle: RePEc:bla:tvecsg:v:115:y:2024:i:4:p:554-570
    DOI: 10.1111/tesg.12613
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    References listed on IDEAS

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    1. Marie Geraldine Herrmann-Lunecke & Rodrigo Mora & Lake Sagaris, 2020. "Persistence of walking in Chile: lessons for urban sustainability," Transport Reviews, Taylor & Francis Journals, vol. 40(2), pages 135-159, March.
    2. Jingjing Luo & Shiyan Zhai & Genxin Song & Xinxin He & Hongquan Song & Jing Chen & Huan Liu & Yuke Feng, 2022. "Assessing Inequity in Green Space Exposure toward a “15-Minute City” in Zhengzhou, China: Using Deep Learning and Urban Big Data," IJERPH, MDPI, vol. 19(10), pages 1-17, May.
    3. Kan, Zihan & Kwan, Mei-Po & Liu, Dong & Tang, Luliang & Chen, Yang & Fang, Mengyuan, 2022. "Assessing individual activity-related exposures to traffic congestion using GPS trajectory data," Journal of Transport Geography, Elsevier, vol. 98(C).
    4. Dong Liu & Mei‐Po Kwan, 2020. "Measuring Job Accessibility Through Integrating Travel Time, Transit Fare And Income: A Study Of The Chicago Metropolitan Area," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 111(4), pages 671-685, September.
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