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

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

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