A solution to measure traveler’s transfer tolerance for walking mode and dockless bike-sharing mode

Abstract

Dockless bike-sharing is more and more popular all over the world, which enables passengers to choose destinations more flexibly, so that the transfer radius between stations is further expanded. The transfer behavior triggered by dockless bicycle sharing has aroused many researchers’ interest. Given that this paper aims to measure travelers’ transfer tolerance to space interval, waiting interval and their perceived factors between stations, in which both dockless bike-sharing and walking are considered as feasible transfer mode. First, the transfer data collected by GPS application are uploaded to the server database for data mining and processing. Then, we propose a recursive fuzzy linear regression model to explore the functional relationships among passengers’ tolerances to distance, waiting time and their perceived factors. Results indicate that passengers who transfer by walk will be more sensitive to distance, while dockless bike-sharing users concern more about the time cost of finding available bike and the delay in traffic signals. Furthermore, our result also proves that pedestrian’s tolerance to environment is higher than cyclist who uses dockless bike-sharing system.