Abstract
Urban rail transit trips usually involve multiple stages, which can be differentiated in terms of transfers that may involve distinct access and egress modes. Most studies on access and egress mode choices of urban rail transit have separately examined the two mode choices. However, in reality, the two choices are temporally correlated. This study, therefore, has sequentially applied the mixed logit to examine the contributors of access and egress mode choices of urban metro commuters using the data from a recent survey conducted in Nanjing, China. 9 typical multimodal combinations constituted by 5 main access modes (walk, bike, electric bike, bus, and car) and 2 main egress modes (walk and bus) are included in the study. The result proves that the model is reliable and reproductive in analyzing access/egress mode choices of metro commuters. Estimation results prove the existence of time constraint and service satisfaction effect of access trip on commuters’ egress mode choice and reveal the importance of transfer infrastructure and environments that serve for biking, walking, bus riding, and car parking in commuter’s connection choice. Also, policy implications are segmentally concluded for the transfer needs of commuters in different groups to encourage the use of metro multimodal trips.
Highlights
The continued urban expansion and increasing job-housing imbalance lead to increased commuting distances in many cities
Service items that describe facilities or environments for each access and egress mode were given in the questionnaire, and respondents were required to give judgments for the modal combination that they predominantly used on a 5-point Likert scale, from 1 to 5
To avoid the possible correlation resulted from the Halton draws [26], we sequentially estimated the parameters for the access and egress mode choices by using 500 random draws in the software BIOGEME [27]
Summary
The continued urban expansion and increasing job-housing imbalance lead to increased commuting distances in many cities. The objective of this research could be described in three folds: (1) reveal the relative prevalence of combinations of transport modes used by these metro multimodal commuters; (2) investigate the key factors that influence metro commuters’ decisions about modal combinations; (3) propose the applicable countermeasures that could improve the travel efficiency of metro commuters’ multimodal trips To this end, we applied mixed logit models to examine combinations of mode choices during the access and egress stages of multimodal commute trips. The modeling has considered the possible effects of access trip in terms of its time constraint and trip satisfaction regarding the egress mode choice decision, allowing heterogeneity across commuters in different metro combination groups with respect to perceived services.
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