A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Examining individuals’ adoption of flex route transit
This study aims to comprehensively identify the contributing factors affecting the adoption of flex route transit. A survey was conducted in 2019, and a multiple indicators multiple causes (MIMIC) model was utilized to capture individuals’ preferences toward car, fixed route, and flex route transit. Subsequently, the multinomial logit model with attitudinal features is employed to identify the key factors influencing the shift from car or fixed route to flex route transit. Results indicate that several factors contribute to flex route transit adoption, with the top three being car restriction, travel cost, and age groups. Car restriction is positively associated with flex route transit adoption (marginal effects 11.67%). Travel costs (≥1.49 US$) and elderly groups also contribute to an increase in flex route transit adoption, with marginal effects of 9.18% and 8.01%, respectively. These findings provide insightful implications for decision-makers in identifying potential adopters and improving flex route transit adoption.
Examining individuals’ adoption of flex route transit
This study aims to comprehensively identify the contributing factors affecting the adoption of flex route transit. A survey was conducted in 2019, and a multiple indicators multiple causes (MIMIC) model was utilized to capture individuals’ preferences toward car, fixed route, and flex route transit. Subsequently, the multinomial logit model with attitudinal features is employed to identify the key factors influencing the shift from car or fixed route to flex route transit. Results indicate that several factors contribute to flex route transit adoption, with the top three being car restriction, travel cost, and age groups. Car restriction is positively associated with flex route transit adoption (marginal effects 11.67%). Travel costs (≥1.49 US$) and elderly groups also contribute to an increase in flex route transit adoption, with marginal effects of 9.18% and 8.01%, respectively. These findings provide insightful implications for decision-makers in identifying potential adopters and improving flex route transit adoption.
Examining individuals’ adoption of flex route transit
Yu, Jingcai (author) / Lin, Qinghai (author) / Ding, Hongliang (author) / Li, Wenquan (author) / Feng, Tao (author) / Ke, Wei (author)
Transportation Planning and Technology ; 47 ; 996-1021
2024-10-02
26 pages
Article (Journal)
Electronic Resource
English
Planning and Design of Flex-Route Transit Services
| British Library Online Contents | 2002