Factors affecting bike-sharing system demand by inferred trip purpose: Integration of clustering of travel patterns and geospatial data analysis

Cycling is a sustainable form of transportation that can reduce car usage and benefit both individuals and society. Bike-sharing systems (BSSs) help to position cycling as a daily transportation option and have been widely established in many countries. Previous studies have investigated the association between urban environmental factors and BSSs’ demand to promote the broader use of BSSs and determine whether demand is affected by various factors. However, research on the effects of the urban environment on BSS demand according to the trip purpose (e.g., commuting and leisure) is rare due to the difficulty in understanding users’ trip purposes. In this regard, recent advancements in big data technologies make massive BSSs trip data available to the public, which is useful for in-depth analyzing BSS travel patterns and inferring the trip purposes. This study thus analyzes to what extent…