Chasing Sustainability

One of the solutions suggested for mitigating the detrimental effect of motor vehicles on society is to implement transit-oriented development (TOD). This type of development is intended to reduce automobile use and urban sprawl as well as to provide communities with more socially, environmentally, and economically sustainable neighborhoods that offer a variety of mobility choices. This study attempted to find out whether new residents adopted more sustainable modes of transportation after their relocation to a TOD. The analysis determined which factors influenced travel mode switching decisions by specifying a multilevel multinomial logistic regression model. Data for the analysis were drawn from a travel behavior survey conducted on residents in seven North American TODs in 2013. The results showed that newcomers adopted more sustainable travel modes for amenities and leisure trips after they relocated to a TOD but that they were less likely to do so for work and shopping trips. To encourage more sustainable travel modes, the study findings suggested that transit incentives coupled with workplace parking charges needed to be considered. Factors that were found to increase the probability that new TOD residents would switch to a more sustainable mode of transportation included their awareness of the environmental impact of each travel mode, the ease with which it was possible to walk through the neighborhood and to various destinations, and the proximity to transit stops. However, larger household size, homeownership, and the addition of a new car had negative impacts. The findings provided new insights into TOD planning and its link to travel behavior; these insights could benefit planners, engineers, and policy makers who have adopted the TOD approach to development with the goal of mitigating car usage.

[1]  Moshe Ben-Akiva,et al.  Travel mode switching: Comparison of findings from two public transportation experiments , 2012 .

[2]  D. Chatman Transit-Oriented Development and Household Travel: A Study of California Cities , 2006 .

[3]  R. Cervero,et al.  TRAVEL DEMAND AND THE 3DS: DENSITY, DIVERSITY, AND DESIGN , 1997 .

[4]  Andrew Carse,et al.  The factors influencing car use in a cycle-friendly city: the case of Cambridge , 2013, Journal of transport geography.

[5]  Daniel G. Chatman,et al.  How Density and Mixed Uses at the Workplace Affect Personal Commercial Travel and Commute Mode Choice , 2003 .

[6]  D. Chatman Residential Choice, the Built Environment, and Nonwork Travel: Evidence Using New Data and Methods , 2009 .

[7]  A. El-geneidy,et al.  Validating walkability indices: How do different households respond to the walkability of their neighborhood? , 2011 .

[8]  Robert Cervero,et al.  TRANSIT-ORIENTED DEVELOPMENT AND JOINT DEVELOPMENT IN THE UNITED STATES: A LITERATURE REVIEW , 2002 .

[9]  Michael Livingston,et al.  Multilevel Analysis for Applied Research—It's Just Regression! , 2009 .

[10]  Frans M. Dieleman,et al.  Leisure trips of senior citizens: determinants of modal choice , 2001 .

[11]  Janet Dickinson,et al.  Travelling to work: will people move out of their cars , 2001 .

[12]  Cathy Macharis,et al.  How persuasive is 'free' public transport?: A survey among commuters in the Brussels Capital Region , 2008 .

[13]  Frauke Kreuter,et al.  Data Analysis Using Stata , 2005 .

[14]  Maria Johansson,et al.  The effects of attitudes and personality traits on mode choice , 2006 .

[15]  K. Stanilov,et al.  Site Design and Pedestrian Travel , 1999 .

[16]  D. Chatman Does TOD Need the T? , 2013 .

[17]  R. Ewing Is Los Angeles-Style Sprawl Desirable? , 1997 .

[18]  Kenneth J. Dueker,et al.  TRANSIT SERVICE, PARKING CHARGES, AND MODE CHOICE FOR THE JOURNEY TO WORK: AN ANALYSIS OF THE 1990 NPTS , 1996 .

[19]  A. Ismail,et al.  Effect of Transportation Policies on Modal Shift from Private Car to Public Transport in Malaysia , 2007 .

[20]  Chandra R. Bhat,et al.  The Impact of Stop-Making and Travel Time Reliability on Commute Mode Choice , 2006 .

[21]  Chandra R. Bhat,et al.  WORK TRAVEL MODE CHOICE AND NUMBER OF NON-WORK COMMUTE STOPS , 1997 .

[22]  J. Scheiner Social inequalities in travel behaviour: trip distances in the context of residential self-selection and lifestyles , 2010 .

[23]  Moshe Ben-Akiva,et al.  Happiness and Travel Mode Switching: Findings from a Swiss Public Transportation Experiment , 2012 .

[24]  Xin Ye,et al.  An Exploration of the Relationship Between Mode Choice and Complexity of Trip Chaining Patterns , 2007 .

[25]  J. Scheiner,et al.  A comprehensive study of life course, cohort, and period effects on changes in travel mode use , 2013 .

[26]  M. Boarnet,et al.  Can Land Use Policy Really Affect Travel Behavior? A Study of the Link between Non-Work Travel and Land Use Characteristics , 1996 .

[27]  R. Cervero,et al.  COMMUTING IN TRANSIT VERSUS AUTOMOBILE NEIGHBORHOODS , 1995 .

[28]  J. Spangenberg,et al.  Indicators for environmentally sustainable household consumption , 2001 .

[29]  Carey Curtis,et al.  Targeting travel awareness campaigns: Which individuals are more likely to switch from car to other transport for the journey to work? , 1997 .

[30]  Joseph Hilbe,et al.  Data Analysis Using Regression and Multilevel/Hierarchical Models , 2009 .

[31]  Xinyu Cao,et al.  Examining the Impacts of Residential Self‐Selection on Travel Behaviour: A Focus on Empirical Findings , 2009 .

[32]  Ahmed El-Geneidy,et al.  Travel mode choice and transit route choice behavior in Montreal: insights from McGill University members commute patterns , 2012, Public Transp..

[33]  Holly Krambeck,et al.  The global walkability index , 2006 .

[34]  K. Krizek Residential Relocation and Changes in Urban Travel: Does Neighborhood-Scale Urban Form Matter? , 2003 .

[35]  Lucas J Carr,et al.  Walk score™ as a global estimate of neighborhood walkability. , 2010, American journal of preventive medicine.

[36]  Tommy Gärling,et al.  Experimental simulation of car users' switching to public transport , 2010 .

[37]  J. Sallis,et al.  Linking objectively measured physical activity with objectively measured urban form: findings from SMARTRAQ. , 2005, American journal of preventive medicine.

[38]  Robert Cervero,et al.  TRANSIT-BASED HOUSING IN CALIFORNIA: EVIDENCE ON RIDERSHIP IMPACTS , 1994 .

[39]  Innovative Parking Pricing Demonstration in the Twin Cities: Introducing Flexibility and Incentives to ParkingContracts , 2014 .

[40]  David A. Hensher,et al.  Some Insights into the Key Influences on Trip-Chaining Activity and Public Transport Use of Seniors and the Elderly , 2007 .