论文标题
主动流动性采用的相互依赖性：步行，骑自行车共享的关节建模和动机溢出
Interdependence in active mobility adoption: Joint modelling and motivational spill-over in walking, cycling and bike-sharing
论文作者
论文摘要
主动流动性提供了一系列的身体，情感和社会福祉的好处。但是，随着共享经济的扩散，新的非运动运输方式正在进入折叠，并在与他人竞争的同时补充了一些现有的出行选择。这项研究的目的是研究采用三种主动旅行模式。即步行，骑自行车和骑自行车的框架，在联合建模框架中。该分析基于对变更框架阶段的改编，该阶段源自健康行为科学。在美国调查数据上，多元有序的概率建模提供了对个人的准备良好的见解，以采用多种主动模式作为个人，邻里和社会心理因素的函数。研究提出了三个重要发现。 1）联合模型结构证实了不同主动迁移率选择之间的相互依赖性。在采用和骑自行车的采用方面发现了最强的互补性。 2）每个模式都有一个独特的采用路径，具有三个或四个单独的阶段。我们讨论了衍生的阈值和情节采用轮廓对选定方案的含义。 3）与个人和家庭因素相比，心理和邻居变量在主动模式之间产生更多的耦合。具体而言，以积极的流动性愿望，具有多模式旅行的经验，具有更好的导航技能以及支持性的当地社区规范，这似乎是推动共同采用决策的因素。这项研究有助于理解相同功能领域内的决策如何相关，并有助于设计通过识别积极的溢出和关节决定因素来促进活动流动性的政策。
Active mobility offers an array of physical, emotional, and social wellbeing benefits. However, with the proliferation of the sharing economy, new nonmotorized means of transport are entering the fold, complementing some existing mobility options while competing with others. The purpose of this research study is to investigate the adoption of three active travel modes; namely walking, cycling and bikesharing, in a joint modeling framework. The analysis is based on an adaptation of the stages of change framework, which originates from the health behavior sciences. Multivariate ordered probit modeling drawing on U.S. survey data provides well-needed insights into individuals preparedness to adopt multiple active modes as a function of personal, neighborhood and psychosocial factors. The research suggests three important findings. 1) The joint model structure confirms interdependence among different active mobility choices. The strongest complementarity is found for walking and cycling adoption. 2) Each mode has a distinctive adoption path with either three or four separate stages. We discuss the implications of derived stage-thresholds and plot adoption contours for selected scenarios. 3) Psychological and neighborhood variables generate more coupling among active modes than individual and household factors. Specifically, identifying strongly with active mobility aspirations, experiences with multimodal travel, possessing better navigational skills, along with supportive local community norms are the factors that appear to drive the joint adoption decisions. This study contributes to the understanding of how decisions within the same functional domain are related and help to design policies that promote active mobility by identifying positive spillovers and joint determinants.
