Shanghai, successful planning to attract travel demand? Evidence from a GTWR model using subway and Taxi trajectory data

Keywords: urban land use, traffic integration, big data, GTWR, China
Session Type: Virtual Paper Abstract
Day: Sunday
Session Start / End Time: 2/27/2022 08:00 AM (Eastern Time (US & Canada)) - 2/27/2022 09:20 AM (Eastern Time (US & Canada))
Room: Virtual 3

Abstract

Phased urbanization has brought about changes in land use and traffic flow within the city. Previous studies focus on spatial mismatches but in a static perspective, and there are different interpretation mechanisms at different stages of urban development. However, with the increasing mobility of individuals and the prevalence of geospatial big data, the research methods of spatial and temporal heterogeneity have been paid more and more attention.

As a regional central city of phased land urbanization, Shanghai's urban traffic problems have exposed the irrationality of the spatial structure of urban expansion. Thus, Currently, how to interpret the relationship between urban travel demand and land urbanization from a dynamic perspective, and how to test has become a hot topic in urban structure and transportation research.

Therefore, this paper combines Shanghai land use data, remote sensing data and urban flow (subway and taxi data) with high spatial and temporal accuracy over a long timespan (before1990-to 2015). The Geospatial Temporal Weighted Regression (GTWR) model was adopted to reveal the spatial heterogeneity and temporal dynamics of the matching degree between the urbanization process and traffic flow in Shanghai. The results show that: 1) there’s strong spatial heterogeneity and weak temporal dynamics in Shanghai’s urban travel demand pattern; 2) The central area with mixed land use has experienced phases of urbanization, but could barely shoulder the overloaded traffics; 3) Compared to subways, taxi flows show flexible travel demands, being more effective to reveal the mismatch of urban travel demand and land urbanization in Shanghai.