Urban Vitality and its Influencing Factors: Comparative Analysis Based on Taxi Trajectory Data

Abstract

Taxis have always been an important part of the urban transportation system in metropolises since they can meet many demands and greatly improve travel efficiency. This study explores the distributions of hot spot destinations of taxi, land surface temperature data, and VIIRS nighttime light data in Beijing, Shanghai, and Wuhan. This study further selects point of interests (POIs) that are very close to taxi ridership patterns. This paper finally uses a geographically weighted regression (GWR) model to examine the relationship between population flow by taxi and urban vitality, which is represented by land surface temperature, nighttime light data and influential POIs. The results suggest that urban structure has an impact on the distribution of drop-off points and nighttime light. The implementation of the relevant policies is revealed to have a certain influence on the alleviation of the urban thermal environment. Traffic stations and financial facilities contribute to an increase in travel, and their influences vary spatially. Similarly, the relationships between the drop-off points and LST and NTL vary spatially. This research aids in understanding population flow and urban vitality development. In addition, this study provides valuable results for policy-makers to promote urban vitality development.

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