Poster: Analyzing the Utilization of Chicago Divvy System for Rail Transit Commute Trips
Almost all bike-sharing systems established around American cities are expected to serve the first- or last-mile for transit (especially rail transit) commuting trips. The distribution of bike-sharing stations affects the amount of bike-sharing trips linking origins (or destinations) to transit stations, which represent a usage pattern of the bike-sharing system for that purpose. Chicago Divvy system is a very transit-oriented bike-sharing system: within the service area, all rail transit stations (CTA “L” stations”) are equipped with a Divvy station which is called “core station”. In this research, the distances between Divvy stations, which are involved in the “for-transferring” trips (the trips linking core stations to other stations), is the major indicator to reflect such a usage pattern and to reveal people's preference on using bike-sharing as the mean to access to transit stations. Considering distance is not the only factor that can affect Divvy use rate, the whole Divvy service area is divided into several categories, each of which presents similar demographic and socioeconomic characteristics. It is found that for each category, there is a unique distance that can benefit the multi-model commute most, which means such a distance is preferred by commuters for biking to CTA “L” stations. In addition, this distance pattern is compared to the distance patterns of other modes for accessing to transit.
Confirmed SpeakerXingmin Guo is a master’s student at the University of Illinois at Chicago (UIC). Majoring in urban planning and urban transportation, he explores the usage of bike-sharing systems in urban areas and relates it to existing rail transit system. He believes that the well-connected alternative transportation modes, such as biking and transit, can most benefit the urban area commuters and that there must be specific planning and design principles supporting and optimizing such a multi-model system.