Modelling the impact of employer-based TDM strategies on daily activity-travel demand

交通需求管理(TDM)策略现已成为交通规划不可或缺的组成部分 加拿大所有市政当局的流程。考虑了各种TDM战略以减少对 私人汽车移动和增加使用出版物运输和积极的交通方式(步行， 骑自行车等)。总体而言，TDM战略包括各种各样的举措，从量化 措施(例如停车费、交通票价补贴、自行车设施等)到质量措施(例如，促进 骑自行车、提供搭乘服务、社交营销等)。从战略规划和评估的角度 认为，量化任何TDM战略的影响(无论是定量的还是定性的)都是非常重要的 对于选择替代战略、确定影响较大的战略和资本的优先顺序非常重要 预算编制。然而，对于TDM的这种定量评估，一直缺乏适当的分析工具 战略。在这方面，皮尔地区取得了重要进展(与 多伦多大学)在收集数据方面对一些关键的 以雇主为基础的TDM战略。在皮尔进行了一项名为Off-Offset的创新调查 该地区收集了633名通勤者的家庭旅行日记以及一系列声明的偏好 查询受访者的通勤模式选择对以雇主为本的交通需求管理的敏感度 战略。此数据集可用于此项目，并提供了调查链接的独特机会 在通勤方式选择和日常活动之间--各种交通需求管理战略背景下的出行需求。它是 重要的是要开发一种分析工具(数学模型)，将日常活动-旅行需求和 通勤方式选择决策，使任何以雇主为基础的TDM战略对人们日常生活的影响 可以调查出行需求。 该项目的目标是开发一个计量经济学选择建模框架(数学模型，

Transportation Demand Management (TDM) strategies are now integral parts of transportation planning processes of all Canadian municipalities. Various TDM strategies are considered for reducing demand for private auto mobile and increasing the use of publication transit and active mode of transportation (walking, biking, etc.). In general, the TDM strategies include a wide variety of initiatives ranging from quantitative measures (e.g. parking cost, transit fare subsidy, biking facility etc.) to qualitative measures (e.g. promotion of biking, providing ride-matching services, social marketing, etc.). From strategic planning and evaluation points of view, quantification of the effects of any TDM strategies (either quantitative or qualitative in nature) is very important for the selection of alternative strategies, prioritization of higher impact strategies and capital budgeting. However, there has been a lack of proper analytical tool for such quantitative evaluation of TDM strategies. In this regard, an important progress has been made by the Region of Peel (in collaboration with the University of Toronto) in 2015 in terms of collecting data for quantitative evaluation of some key employer-based TDM strategies. An innovative survey called OFF-SET survey was conducted in the Peel Region that collected household travel diaries of 633 commuters along with a series of stated preference enquiries on respondent's commuting mode choice sensitivity to the corresponding employer-based TDM strategies. This dataset is available for this project and it allows a unique opportunity of investigating the link between commuting mode choices and daily activity-travel demand in context of various TDM strategies. It is important to develop an analytical tool (mathematical model) that can link daily activity-travel demand and commuting mode choice decisions so that the effects of any employer-based TDM strategies on peoples' daily travel demand can be investigated. Objective of this project is to develop an econometric choice modelling framework (mathematical model that