Spatiotemporal heterogeneity and interconnections of transit accessibility and urban deprivation

Keywords: accessibility, deprivation, GIS, transit, spatial heterogeneity, network analysis
Session Type: Virtual Poster Abstract
Day: Monday
Session Start / End Time: 2/28/2022 02:00 PM (Eastern Time (US & Canada)) - 2/28/2022 03:20 PM (Eastern Time (US & Canada))
Room: Virtual 32

Abstract

Around the world, public transportation infrastructures were rapidly constructed and reconstructed to (at least aimed to) simultaneously achieve economic, social, and environmental goals. However, even with a massive volume of literature around accessibility, the actual spatiotemporal relationship between public transport accessibility and socioeconomic status has hitherto received scant attention from scholars. This study thus addresses this gap using a GIS-based quantitative approach. Transit accessibility with varied characterization approaches (including gravity and spatial separation methods) was calculated from various data sources (including transit network, transit timetable, road network, commuting flow O-Ds and other socioeconomic data), using network analysis methods such as O-D cost matrices. In the analysis stage, this project first explored the spatial heterogeneity of urban deprivation and public transport accessibility using geostatistical methods such as Global Moran's I, Getis-Ord Gi*, and Anselin Local Moran's I. Spatial patterns and autocorrelation is identified. Then, this study carried out a correlational analysis to explore the spatiotemporal relationship between deprivation and accessibility. Lastly, the factors which contribute to this relationship were briefly discussed.