The spatial characteristics and influencing factors of modal accessibility gaps: A case study for Guangzhou, China: Fid-Bau Portal

The spatial characteristics and influencing factors of modal accessibility gaps: A case study for Guangzhou, China

Yang, Wenyue / Chen, Bi Yu / Cao, Xiaoshu / Li, Tao / Li, Peng

AbstractThis paper presents an analysis of the spatial characteristic of the modal accessibility gap (MAG) in Guangzhou based on travel times for public transport and cars to public centers calculated by the Travel O-D point Intelligent Query System (TIQS). Four spatial regression models are used to investigate the effect on the MAG of six factors of the built environment (distance to city public centers, residential density, landuse mix, bus stop density, metro station density and road network density). The results show that travel time for a given origin to destination (OD) trip is likely to be larger by public transport than by car, especially for a trip of longer travel time. The MAG values of all the communities are larger than 0, indicating that when compared with public transport, travelling by car takes less travel time for individuals. Residential density, land-use mix, bus stop density and metro rail station density have significant negative direct impacts and indirect impacts (spatial spillover effects) on MAG, which indicates that appropriate increase in community residential density, providing diversified service facilities within a community, and improving public transport supply are beneficial to promote modal shift. Specifically, the role of metro rail is greater than that of buses. However, the road network density has significant direct positive impacts on MAG, and its spillover effect is also significantly positive, which indicates that building more roads is not an effective way to narrow the accessibility gap between public transport and cars but may facilitate more car travel instead.

Highlights•We develop a Travel O-D point Intelligent Query System (TIQS) to calculate travel times for public transport and cars.•Four spatial regression models are used to investigate the effect on the MAG of six factors of the built environment.•MAG has a significant spatial autocorrelation.•RD, LUM, BSD and MSD have significant negative direct impacts and spatial spillover effects.•The direct impacts and spatial spillover effects on MAG of road network density are significantly positive.