A Traffic Mode Choice Model for the Bus User Groups based on SP and RP Data

Abstract

Enhancing the bus share rate is a major measure to relieve the traffic congestion. To analyze the effect of public transit policy, this paper establishes MNL models based on both SP data and combining SP and RP data, which was collected in Jinan city. Then the paper analyzes how the influencing factors affect the choice proportion of bus travel mode for the bus user groups. In the end, the paper obtains some significant conclusions and proposes measures which would enhance the bus attraction.

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