Exploring the Influence Mechanisms and Spatial Heterogeneity of Urban Vitality Recovery in the University Fringe Areas of Nanjing DOI Open Access
Zhen Cai, Dongxu Li,

Binhe Ji

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 17(1), P. 223 - 223

Published: Dec. 31, 2024

After the lifting of COVID-19 pandemic restrictions, urban socio-economic development has been continuously recovering. Researchers’ attention to vitality recovery increased. However, few studies have paid and driving in university fringe areas. This study aims address this gap by exploring mechanisms areas using both linear nonlinear models. The results reveal following: (1) follows a distinct pattern where central with greater openness recover more rapidly, while farther from city center stricter management experience slower recovery. (2) fitting coefficients student enrollment, school area, density various POIs, opening hours are 0.0020, −0.0105, −0.0053, 0.0041 respectively. These variables exhibit pronounced relationship, significance level is quite high. Recovery effects also express significant spatial heterogeneity. (3) Both area show positive relationship areas, demonstrating clear threshold effect. characterized slow growth at lower values, rapid acceleration once critical reached, eventual stabilization higher values. offers targeted strategies for planning, fostering responsive adaptive governance that aligns evolving needs development.

Language: Английский

Community-led urban transformation project as transdisciplinary approach: Case of Senboku Hottokenai Network Project DOI Creative Commons
Haruka Kato, Kazuhiko Mori

Habitat International, Journal Year: 2024, Volume and Issue: 153, P. 103197 - 103197

Published: Oct. 9, 2024

Language: Английский

Citations

5
Transforming Neighborhood Units into Healthy New Towns: Empirical Insights from Senboku New Town DOI
Haruka Kato

Published: Jan. 1, 2025

Language: Английский

Citations

0
Self-containment in Old New Town: Evidence from Senboku New Town using GPS tracking data DOI Creative Commons
Haruka Kato

Habitat International, Journal Year: 2025, Volume and Issue: 160, P. 103385 - 103385

Published: April 2, 2025

Language: Английский

Citations

0
Precise Mitigation Strategies for Urban Heat Island Effect in Hong Kong's New Towns using Automated Machine Learning DOI Creative Commons
Yiyan Li, Hongsheng Zhang, Yinyi Lin

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106350 - 106350

Published: April 1, 2025

Language: Английский

Citations

0
From measurements to regulations: An actionable approach for sustainable urban cooling via heat-resilient urban planning DOI
Jinlong Yan,

Zhaomin Tong,

Yiheng Wang

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106361 - 106361

Published: April 1, 2025

Language: Английский

Citations

0
Forest or grassland? A quantitative analysis of urban residents' green exposure preference by using multi-temporal mobile signal data DOI

Hongkai Geng,

Tao Lin, Peter M. van Bodegom

et al.

Urban forestry & urban greening, Journal Year: 2025, Volume and Issue: unknown, P. 128826 - 128826

Published: April 1, 2025

Language: Английский

Citations

0
Differences in Urban Vibrancy Enhancement among Different Mixed Land Use Types: Evidence from Shenzhen, China DOI Creative Commons
Hanbing Yang, Li Wang, Feng Tang

et al.

Land, Journal Year: 2024, Volume and Issue: 13(10), P. 1661 - 1661

Published: Oct. 12, 2024

Mixed land use has the advantages of promoting economic and intensive utilization improving efficiency use, which can help alleviate current urban problems promote sustainable development cities. Existing studies have usually used quantitative indicators to reflect complex diverse mixed situations, conclusions obtained cannot provide a basis for functional selection in practices. Therefore, this study took Shenzhen as area explore whether there are differences vibrancy enhancement among different types. First, block-scale dataset was constructed. Second, spatial distribution characteristics main types were explored. Finally, impact on explored by using multiple linear regression model setting type dummy variable. The results show that number mixed-function blocks is relatively small, degree still needs be improved. Among 12 area, those containing industrial clustered northern Shenzhen, public or commercial service city center, residential widely distributed area. From perspective vibrancy, phenomenon “jobs–housing mismatch” well problem low peripheral areas city. In addition, intensity including higher, such “administration+residential”, “residential+commercial”, “industrial+residential+commercial”, “administration+residential+commercial” land, includes stronger, while. However, stability “industrial+residential” “industrial+administration” land. future practices terms selection. For central subcenters areas, selected enhance parks “industrial+residential”, “industrial+commercial”, “industrial+administration+residential”,

Language: Английский

Citations

1
Identification of Urban Spatial Structure Based on Urban Mobility: A Case Study of New Towns in Beijing DOI

Xinyue CHENG,

Jie Zhang, Kai Huang

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

0
Exploring the vitality of Tianjin’s downtown based on the Light GBM-SHAP model DOI Creative Commons
Na Li,

Yao Li

Computational Urban Science, Journal Year: 2024, Volume and Issue: 4(1)

Published: Dec. 28, 2024

Abstract In the age of stock planning, urban vitality is a key indication city’s health and vitality. Using central city Tianjin as an example, study uses multi-source data, such Weibo check-ins, points interest, etc., to quantify The Light GBM-SHAP model chosen measure non-linear effects each indicator on in four dimensions: crowd vitality, economic facility environmental also applies spatial visualization statistical analysis analyze terms time space scales. findings indicate that: (1) There clear temporal geographical variation distribution Tianjin’s core region. Over time, spring, particularly April, marked by surge brought tourist season holiday effects; there double-peak morning evening, nighttime strong; and, space, tends decline from Heping District outward. (2) Public density, living building density are three indicators that most strongly influence vitality; has negligible impact dimension (3) region have substantial Their threshold effect evident, managing within suitable range may effectively promote study’s might serve foundation for planning design.

Language: Английский

Citations

0
Exploring the Influence Mechanisms and Spatial Heterogeneity of Urban Vitality Recovery in the University Fringe Areas of Nanjing DOI Open Access
Zhen Cai, Dongxu Li,

Binhe Ji

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 17(1), P. 223 - 223

Published: Dec. 31, 2024

After the lifting of COVID-19 pandemic restrictions, urban socio-economic development has been continuously recovering. Researchers’ attention to vitality recovery increased. However, few studies have paid and driving in university fringe areas. This study aims address this gap by exploring mechanisms areas using both linear nonlinear models. The results reveal following: (1) follows a distinct pattern where central with greater openness recover more rapidly, while farther from city center stricter management experience slower recovery. (2) fitting coefficients student enrollment, school area, density various POIs, opening hours are 0.0020, −0.0105, −0.0053, 0.0041 respectively. These variables exhibit pronounced relationship, significance level is quite high. Recovery effects also express significant spatial heterogeneity. (3) Both area show positive relationship areas, demonstrating clear threshold effect. characterized slow growth at lower values, rapid acceleration once critical reached, eventual stabilization higher values. offers targeted strategies for planning, fostering responsive adaptive governance that aligns evolving needs development.

Language: Английский

Citations

0