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

и другие.

Sustainability, Год журнала: 2024, Номер 17(1), С. 223 - 223

Опубликована: Дек. 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.

Язык: Английский

PRINCIPLES OF FORMATION OF BIM INFORMATION PACKAGES IN THE “SOFTWARE COMPLEX FOR MODELING THE CITY AS A DYNAMIC SYSTEM” DOI Creative Commons
Oksana Fomenko,

S.M. Danilov,

Sergey Chechelnitsky

и другие.

Ukrainian Journal of Civil Engineering and Architecture, Год журнала: 2024, Номер 6 (018), С. 125 - 135

Опубликована: Фев. 26, 2024

The article describes the principles of forming information packages “Information-cumulative matrix modeling city as a dynamic system”, which is one software modules “Software complex system”. working name “Dynamic BIM package”. package basis for formation large data set Information and Accumulation Matrix. Each separate object from typological spectrum architectural structures an environment with almost all processes city's functioning are connected. choice connected double approach to its formation: combination description material component dynamics life cycle, cycles constituent elements. developed makes it possible develop innovative urban toolkit analyzing problems system. When considered phenomena that go beyond boundaries architecture (considered in other studies by authors). has high potential tool forecasting focused on services strategic decision-making processes.

Язык: Английский

Процитировано

0

Analysis on the spatial evolution trends and characteristics of the economic network of the urban agglomeration in the Guangdong-Hong Kong-Macao Greater Bay Area--Based on panel data from 11 prefecture-level cities in the Guangdong-Hong Kong-Macao Greater Bay Area from 2008 to 2021 DOI

Yisheng Zhang,

Wenxian Jiang

Опубликована: Янв. 19, 2024

Язык: Английский

Процитировано

0

Evaluation of China's marine sustainable development based on PSR and SDG14: Synergy-tradeoff analysis and scenario simulation DOI
Ting Guo, Qinhua Fang, Xiaoyan Jiang

и другие.

Environmental Impact Assessment Review, Год журнала: 2024, Номер 111, С. 107753 - 107753

Опубликована: Ноя. 30, 2024

Язык: Английский

Процитировано

0

The impact of energy metabolic pattern on household carbon emissions: a spatio-temporal perspective in Guangdong-Hong Kong-Macao Greater Bay Area DOI
Lei Chen, Jinxia Luo, Guotian Cai

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер unknown, С. 106094 - 106094

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

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

и другие.

Sustainability, Год журнала: 2024, Номер 17(1), С. 223 - 223

Опубликована: Дек. 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.

Язык: Английский

Процитировано

0