Towards Nudging Active Travel: Behavioral Interventions Using Mobile Technology

TitleTowards Nudging Active Travel: Behavioral Interventions Using Mobile Technology
Publication TypeThesis
Year of Publication2013
AuthorsTim Baird
Academic DepartmentSchool of Community and Regional Planning
DegreeMaster of Science
UniversityUniversity of British Columbia
CityVancouver
Thesis TypeMaster of Science
Abstract

Advances in behavioural economics have begun to provide a new toolkit of theories, models, and empirical methods for designing and evaluating policy. While many of these techniques are highly relevant to behavioral problems that planners encounter when consulting the public, crafting policy and regulations, and promoting sustainable patterns of behavior, this approach has received only limited attention in the planning and transportation literature. I review this literature and present a framework for generating, implementing, and testing the results of different interventions designed to affect users’ travel behavior by delivering behavioral feedback via an activity-tracking smartphone application. The results of this promotional strategy are tested in two pilot projects among university students and “Bike to Work Week” participants in British Columbia and Minnesota. I also present further tools for conducting such experiments and additional experimental designs relevant to testing these hypotheses. Implications for program evaluation, planning practice, and transportation research are discussed.

Supervisors

Supervised by Jinhua Zhao

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Advanced Mobility Management, Singapore-MIT Alliance for Research and Technology (SMART)

Singapore-MIT Alliance for Research and Technology (SMART), 2016-2020

As part of the Future Urban Mobility (FM) IRG of the Singapore-MIT Alliance for Research and Technology (SMART), the team led by Prof. Zhao combine behavioral science and transportation technology to envision a future urban mobility system for Singapore that integrates public transit, walking and bicycling, shared mobility and autonomous vehicles.  Read More