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Incorporating active and non-active mode preferences for Departure time choice behavior
Transportation Letters ( IF 2.8 ) Pub Date : 2021-05-18 , DOI: 10.1080/19427867.2021.1925048
Kiran Shakeel 1 , Taha Hossein Rashidi 1
Affiliation  

ABSTRACT

This paper presents the joint analysis of departure time choice for non-work activities and latent preferences toward the active and non-active mode. Utilizing the concept of smart growth design of neighborhoods, scheduling the travel activities considering active transport through smart phone applications is one of the efficient ways to promote active mode usage. The hypothesis of the current study states that departure time decision-making for non-work activities is influenced by disposition toward active modes such as cycling in addition to the socio-economic factors and dependency on mandatory activities. Information from this model is expected to provide the empirical support to the policies regarding the promotion of active mode usage. Departure time choice behavior with disposition toward non-active modes, such as car is also examined. Integrated choice latent variable modeling is used as methodological approach. The results of these two models are then compared and discussed in detail. Results indicate that both the models have contrary results to each other with respect to latent preferences for respective modes. Some socio-economic factors came to be more significant than latent preferences. Individuals who prefer active modes such as bicycle have more probability to choose morning departures to evening ones, while the opposite behavior is true for the ones who have latent preferences toward non-active modes. It is also found that car and bicycle mode preferences possess opposing elasticities. With the increase in latent preferences for active travel mode, probability for morning departure increases while opposite is true for latent preference for car.



中文翻译:

结合出发时间选择行为的主动和非主动模式偏好

摘要

本文提出了对非工作活动的出发时间选择和对主动和非主动模式的潜在偏好的联合分析。利用邻里智能增长设计理念,通过智能手机应用调度考虑主动交通的出行活动,是促进主动模式使用的有效途径之一。当前研究的假设表明,除了社会经济因素和对强制性活动的依赖之外,非工作活动的出发时间决策还受到对自行车等积极模式的倾向的影响。该模型的信息有望为促进主动模式使用的政策提供经验支持。还检查了具有对非活动模式(例如汽车)的倾向的出发时间选择行为。集成选择潜变量建模被用作方法论方法。然后对这两个模型的结果进行比较和详细讨论。结果表明,两个模型在各自模式的潜在偏好方面具有相反的结果。一些社会经济因素变得比潜在偏好更重要。喜欢自行车等主动模式的人更有可能选择早上出发而不是晚上出发,而那些对非主动模式有潜在偏好的人则相反。还发现汽车和自行车模式偏好具有相反的弹性。随着对主动出行方式的潜在偏好的增加,早上出发的可能性增加,而对汽车的潜在偏好则相反。

更新日期:2021-05-18
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