ABSTRACT

The introduction of innovative mobility services such as car sharing leads to changes in users’ travel habits, inducing a shift of travel demand from existing travel modes. An analysis of such changes should be performed to promote car sharing, managing travel demand effectively. Policies should be developed to induce the switch only from private modes, avoiding the shift from public transport and active modes. In order to reach this aim, data from a mobility survey carried out in Turin (Italy) were used to study modal choices. Decision Trees were adopted to complement the analyses following an econometric approach. One decision tree was estimated for each mode used by respondents in a specific trip, to identify trip attributes affecting the intention to switch to car sharing. Thus, threshold values of each variable that entice a modal shift are mode-specific, thus better informing policies aimed at maximizing the benefits of car sharing.

摘要

汽车共享等创新出行服务的引入，导致用户出行习惯的改变，促使出行需求从现有出行方式转变。应对此类变化进行分析，以促进汽车共享，有效管理出行需求。应制定政策以诱导仅从私人模式转变，避免从公共交通和主动模式转变。为了实现这一目标，在都灵（意大利）进行的一项流动性调查的数据被用于研究模式选择。采用决策树来补充采用计量经济学方法的分析。为受访者在特定旅行中使用的每种模式估计了一个决策树，以确定影响切换到汽车共享意图的旅行属性。因此，