Jialin Tian
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Jialin Tian has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Dan Ye
College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China
1 shared publication - Dandan Wu
Department of Non-Communicable Disease Prevention, Xi’an Center for Disease Control and Prevention, Xi’an 710054, China
1 shared publication - Jiaqi Li
College of Architecture, Xi’an University of Architecture and Technology, Xi’an 710055, China
1 shared publication - Jie Yin
College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China
1 shared publication - Naiji Tian
College of Architecture, Xi’an University of Architecture and Technology, Xi’an 710055, China
1 shared publication - Wenlong Lan
College of Architecture, Xi’an University of Architecture and Technology, Xi’an 710055, China
1 shared publication
Latest Publications
- Open Access
Unraveling the Impact Mechanisms of Built Environment on Urban Vitality: Integrating Scale, Heterogeneity, and Interaction Effects
The impact of the built environment on urban vitality is multifaceted, yet a holistic understanding that simultaneously considers its scale dependence, spatial heterogeneity, and interactive mechanisms remains limited. To unravel these multi-scalar mechanisms, this study develops an integrated analytical framework. Taking Xi’an, China, as a case study, we first construct a multidimensional built environment indicator system grounded in Jane Jacobs’ theory of vitality. Empirically, we employ the Optimal Parameters-based GeoDetector (OPGD) to objectively identify the optimal spatial scale and detect non-linear and interaction effects. Meanwhile, the Multiscale Geographically Weighted Regression (MGWR) model is used to delineate spatial heterogeneity. Our findings systematically unravel the complex mechanisms: (1) The optimal analysis scale is identified as a 2 km grid; (2) All elements significantly influence vitality, but through distinct linear or non-linear pathways; (3) The effects of attraction density, road network structure, and bus stop density exhibit significant spatial heterogeneity; and (4) Third place density and population density act as key catalysts, non-linearly enhancing the effects of other elements. This research presents a synthesized perspective and nuanced evidence for precision urban regeneration, demonstrating the necessity of integrating scale, heterogeneity, and interaction to understand the drivers of urban vitality.
Open AccessUnraveling the Impact Mechanisms of Built Environment on Urban Vitality: Integrating Scale, Heterogeneity, and Interaction Effects
The impact of the built environment on urban vitality is multifaceted, yet a holistic understanding that simultaneously considers its scale dependence, spatial heterogeneity, and interactive mechanisms remains limited. To unravel these multi-scalar mechanisms, this study develops an integrated analytical framework. Taking Xi’an, China, as a case study, we first construct a multidimensional built environment indicator system grounded in Jane Jacobs’ theory of vitality. Empirically, we employ the Optimal Parameters-based GeoDetector (OPGD) to objectively identify the optimal spatial scale and detect non-linear and interaction effects. Meanwhile, the Multiscale Geographically Weighted Regression (MGWR) model is used to delineate spatial heterogeneity. Our findings systematically unravel the complex mechanisms: (1) The optimal analysis scale is identified as a 2 km grid; (2) All elements significantly influence vitality, but through distinct linear or non-linear pathways; (3) The effects of attraction density, road network structure, and bus stop density exhibit significant spatial heterogeneity; and (4) Third place density and population density act as key catalysts, non-linearly enhancing the effects of other elements. This research presents a synthesized perspective and nuanced evidence for precision urban regeneration, demonstrating the necessity of integrating scale, heterogeneity, and interaction to understand the drivers of urban vitality.