Changmin Jiang
Datos Biográficos
| ID | 5919458 |
|---|---|
| NOMBRE | Changmin Jiang |
| NOMBRES | Changmin |
| APELLIDO | Jiang |
| FIRMA | JIANG C |
| AFILIACIONES | Hong Kong Polytechnic University |
| ORCID | 0000-0002-0775-5102 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 6 |
| TOTAL DE CITAS | 6 |
| TOTAL COMO AUTOR | 6 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2018 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 2 |
Innovation and development of domestic electric vehicle industry
Evolution and drivers of air passenger carbon emissions inequality at the city level
The evolution of transport networks and the regional water environment
We investigate empirically the role of an evolving high-speed rail (HSR) network in improving the regional water environment via industry agglomeration. We use Graph Theory to construct a data set reflecting a continuous evolution of cities’ accessibility to the HSR network. We find that cities with higher degree and closeness centralities in the HSR network tend to have less industrial water pollution. The reallocation of a high-skilled labour f…
Spatiotemporal Big Data for PM2.5 Exposure and Health Risk Assessment during Covid-19
The coronavirus disease 2019 (COVID-19) first identified at the end of 2019, significantly impacts the regional environment and human health. This study assesses PM 2.5 exposure and health risk during COVID-19, and its driving factors have been analyzed using spatiotemporal big data, including Tencent location-based services (LBS) data, place of interest (POI), and PM 2.5 site monitoring data. Specifically, the empirical orthogonal function (EOF)…
Between geography and transport
A conceptual overview on government initiatives and the transformation of transport and regional systems
The evolution of transport networks and the regional water environment
We investigate empirically the role of an evolving high-speed rail (HSR) network in improving the regional water environment via industry agglomeration. We use Graph Theory to construct a data set reflecting a continuous evolution of cities’ accessibility to the HSR network. We find that cities with higher degree and closeness centralities in the HSR network tend to have less industrial water pollution. The reallocation of a high-skilled labour f…
A conceptual overview on government initiatives and the transformation of transport and regional systems
A conceptual overview on government initiatives and the transformation of transport and regional systems
Between geography and transport
Spatiotemporal Big Data for PM2.5 Exposure and Health Risk Assessment during Covid-19
The coronavirus disease 2019 (COVID-19) first identified at the end of 2019, significantly impacts the regional environment and human health. This study assesses PM 2.5 exposure and health risk during COVID-19, and its driving factors have been analyzed using spatiotemporal big data, including Tencent location-based services (LBS) data, place of interest (POI), and PM 2.5 site monitoring data. Specifically, the empirical orthogonal function (EOF)…
The evolution of transport networks and the regional water environment
We investigate empirically the role of an evolving high-speed rail (HSR) network in improving the regional water environment via industry agglomeration. We use Graph Theory to construct a data set reflecting a continuous evolution of cities’ accessibility to the HSR network. We find that cities with higher degree and closeness centralities in the HSR network tend to have less industrial water pollution. The reallocation of a high-skilled labour f…
Innovation and development of domestic electric vehicle industry
Evolution and drivers of air passenger carbon emissions inequality at the city level
Geography (4 obras) · Business (3 obras) · Regional science (3 obras) · Aviation Industry Analysis and Trends (2 obras) · Economic geography (2 obras) · Economic growth (2 obras) · Engineering (2 obras) · Industrial organization (2 obras) · Political science (2 obras) · Transport engineering (2 obras)