Analysis and modeling of park and ride choice behavior in commuting travel

This paper focuses on travelers' choice behavior of park and ride or driving alone in commuting trips. Revealed preference (RP) and stated preference (SP) surveys of car drivers' and public passengers' mode choice behaviors are performed in typical park of ride (PR) transfer station in Shanghai. Based on survey data, influencing factors of PR choice are analyzed. Two individual binary logit models are established under smooth traffic state and congested state respectively on whether car drivers will park and transfer to metro. Model results show that young commuters with lower income are more likely to choose PR. Whether a household has elders or children influences PR choice significantly under congested traffic. The results also indicate that commuters put more attention on travel cost when traffic is fluent. However, they care more about time consumption and comfortableness when traffic is congested. Furthermore, the influence of time and cost sensitivity on PR choice behavior is presented.