Abstract
AbstractIt has been observed that more and more young people choose to use online car-hailing as the preferred travel mode. Hence a study of the trip patterns of online car-hailing can reveal a lot on the travel needs and patterns of the young generation. This study explores the characteristics of Grab trips, which is the major car hailing service provide in Singapore, order points in Singapore, by modelling them geospatially using their GPS tracks and points of interests in Singapore. The spatial analysis evaluates various regression models, namely the Ordinary Least Squares (OLS), Geographically Weighted Regression (GWR) and Multiscale Geographically Weighted Regression (MGWR). The MGWR results were found to be far superior to OLS and GWR. It was found that points of interest lie retail shopping outlets, clusters of young population, taxi pick points and public transport facilities impact the trip start and end points of car hailing services. Grab ride end points are primarily located at interests such as the city centre, airport areas, retail outlets and industrial areas which displays a spatial heterogeneity.
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