Deconstructing Citywalk: A Multilayered Network Analysis of Urban Leisure Walking in Shanghai, China, from a Social Media Perspective

This study introduces a novel “multi-dimensional network spatial organization” framework to decode the emerging Citywalk phenomenon in Shanghai, China. By constructing and coupling three layers of networks—functional association, spatial proximity, and path support—based on 23,436 geotagged social media posts and 6,097 point of interest records, this research offers a new lens to examine the complex spatial dynamics of urban leisure walking. The functional network analysis reveals Citywalk’s polycentric, heterogeneous spatial structure, with a significantly weakened center-periphery pattern (power-law exponent = ‒1.34, P < 0.01). The spatial proximity network uncovers a coexistence of individual spontaneity (density = 0.0037) and group organization (clustering coefficient = 0.4067, P < 0.01), while the path support network highlights the micromechanisms of walking behavior reshaping urban space (modularity Q = 0.7425, P < 0.01). The multilayer network coupling analysis indicates a fragmentation within contraction pattern, with community numbers increasing from 33 to 128 (P < 0.01) after incorporating behavioral dimensions, suggesting that homogeneous spatial zones are being replaced by heterogeneous behavioral domains. These findings extend the complex network theory to explain urban spatial organization and expand the boundaries of behavioral geography. The multidimensional network spatial organization framework provides a replicable analytical approach for studying similar social media–driven spontaneous walking activities. The research yields three practical planning tools: a network community–based delineation method for natural renewal units, a hierarchical optimization strategy for walking systems based on path support intensity, and a precision intervention mechanism based on functional clusters-linkage corridors. This integration of network science with urban planning provides a systematic solution to enhance urban walkability applicable to postindustrial cities globally, contributing to both theoretical advancement and practical innovation in urban studies.

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Journal
Journal of Urban Planning and Development
Published
2026-01-29
DOI
https://doi.org/10.1061/jupddm.upeng-5985
Primary Topic
Urban Transport and Accessibility
Type
article
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article

Deconstructing Citywalk: A Multilayered Network Analysis of Urban Leisure Walking in Shanghai, China, from a Social Media Perspective

Siti Norzaini Zainal Abidin, Filzani Illia Ibrahim, Xingrui Chen, Suqiu Tang et al.
Journal of Urban Planning and Development
Urban Transport and Accessibility
article

Deconstructing Citywalk: A Multilayered Network Analysis of Urban Leisure Walking in Shanghai, China, from a Social Media Perspective

Siti Norzaini Zainal Abidin, Filzani Illia Ibrahim, Xingrui Chen, Suqiu Tang, Myzatul Aishah Kamarazaly
article en

Abstract

This study introduces a novel “multi-dimensional network spatial organization” framework to decode the emerging Citywalk phenomenon in Shanghai, China. By constructing and coupling three layers of networks—functional association, spatial proximity, and path support—based on 23,436 geotagged social media posts and 6,097 point of interest records, this research offers a new lens to examine the complex spatial dynamics of urban leisure walking. The functional network analysis reveals Citywalk’s polycentric, heterogeneous spatial structure, with a significantly weakened center-periphery pattern (power-law exponent = ‒1.34, P < 0.01). The spatial proximity network uncovers a coexistence of individual spontaneity (density = 0.0037) and group organization (clustering coefficient = 0.4067, P < 0.01), while the path support network highlights the micromechanisms of walking behavior reshaping urban space (modularity Q = 0.7425, P < 0.01). The multilayer network coupling analysis indicates a fragmentation within contraction pattern, with community numbers increasing from 33 to 128 (P < 0.01) after incorporating behavioral dimensions, suggesting that homogeneous spatial zones are being replaced by heterogeneous behavioral domains. These findings extend the complex network theory to explain urban spatial organization and expand the boundaries of behavioral geography. The multidimensional network spatial organization framework provides a replicable analytical approach for studying similar social media–driven spontaneous walking activities. The research yields three practical planning tools: a network community–based delineation method for natural renewal units, a hierarchical optimization strategy for walking systems based on path support intensity, and a precision intervention mechanism based on functional clusters-linkage corridors. This integration of network science with urban planning provides a systematic solution to enhance urban walkability applicable to postindustrial cities globally, contributing to both theoretical advancement and practical innovation in urban studies.

Journal of Urban Planning and DevelopmentVol. 152(2)
Taylor's University (MY), Politecnico di Milano (IT), Taylor University (US)
Sustainable cities and communities
Openalex Percentile: Top 77%
Urban Transport and Accessibility
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