Abstract
AbstractThis paper applies a binary logistic analysis method for assessing impacts of modal shifts from automobiles, normal buses, and nonmotorized vehicles caused by bus rapid transit (BRT) deployments using survey data collected on six representative BRT corridors in China. The traveler’s demographic and socioeconomic attributes (gender, age) and trip-related attributes (trip purpose, travel time savings, trip costs, trip distances, and weekly travel frequencies) are found to be statistically significant in influencing modal shifts to BRT. Ridership characteristics and preferences are found to vary significantly by BRT corridor based on travel mode, demographics, socioeconomic status, and the perceived benefits in travel time and trip costs, suggesting that BRT deployment strategies must recognize the heterogeneous nature of ridership and travel preferences. The probability of modal shifts to BRT could reach up to 15% for travel time savings of 10 min and then increase steadily for a greater extent of t...
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