Do your neighbors affect your bicycling choice? A spatial probit model for bicycling to The Ohio State University

Neighborhood social effects have recently become a focus of interest in transportation research, whereby transportation mode choice is not only affected by an individual’s characteristics and transportation system conditions, but also by the mode choices of that individual’s social neighbors. This study supports the neighborhood social effects argument, using a spatial econometrics approach and data from The Ohio State University (OSU) 2012 Campus Transportation Survey. A spatial probit model of commuters’ mode choices (bicycling versus non-bicycling) is estimated, accounting for spatial autocorrelation. The results show that the more OSU-affiliated bicycle riders are residing around an individual OSU commuter, the more attractive bicycling becomes, controlling for other factors such as gender, status, proximity to campus, bicycle infrastructure and attitudes. The results indicate that students and males are more likely to commute by bicycles. The probability of choosing bicycles decreases with distance from campus. In addition, proximity to bicycle infrastructure and physical environment both encourage respondents to bicycle. Feeling of safety, travel cost and concern for the environment also affect bicycling choice.

[1]  Jennifer Dill,et al.  Where do cyclists ride? A route choice model developed with revealed preference GPS data , 2012 .

[2]  J. LeSage.  Introduction to spatial econometrics , 2009 .

[3]  J. Pucher,et al.  Infrastructure, programs, and policies to increase bicycling: an international review. , 2010, Preventive medicine.

[4]  Jennifer Dill,et al.  Bicycle Commuting and Facilities in Major U.S. Cities: If You Build Them, Commuters Will Use Them , 2003 .

[5]  Marlon G. Boarnet,et al.  The influence of land use on travel behavior: specification and estimation strategies , 2001 .

[6]  Mike Rees,et al.  5. Statistics for Spatial Data , 1993 .

[7]  Noel A Cressie,et al.  Statistics for Spatial Data. , 1992 .

[8]  Gulsah Akar,et al.  Bicycling Choice and Gender Case Study: The Ohio State University , 2013 .

[9]  Frank Goetzke,et al.  Walkability as a Summary Measure in a Spatially Autoregressive Mode Choice Model: An Instrumental Variable Approach , 2010 .

[10]  Edzer J. Pebesma,et al.  Applied Spatial Data Analysis with R - Second Edition , 2008, Use R!.

[11]  Chandra R. Bhat,et al.  Who are Bicyclists? Why and how much are they Bicycling? , 2009 .

[12]  Greg Rybarczyk,et al.  Measuring the potential for bicycling and walking at a metropolitan commuter university , 2014 .

[13]  Frank Goetzke,et al.  Bicycle Use in Germany: Explaining Differences between Municipalities with Social Network Effects , 2011, Urban studies.

[14]  D. Levinson,et al.  TRAILS, LANES, OR TRAFFIC: VALUING BICYCLE FACILITIES WITH AN ADAPTIVE STATED PREFERENCE SURVEY , 2007 .

[15]  Robert J. Schneider,et al.  Household Travel Surveys in Context-Based Approach for Adjusting ITE Trip Generation Rates in Urban Contexts , 2012 .

[16]  Jennifer Dill,et al.  Factors Affecting Bicycling Demand , 2007 .

[17]  William A. Brock,et al.  Discrete Choice with Social Interactions , 2001 .

[18]  Arthur Christian Nelson,et al.  If You Build Them, Commuters Will Use Them: Association Between Bicycle Facilities and Bicycle Commuting , 1997 .

[19]  Robert Cervero,et al.  Built environments and mode choice: toward a normative framework , 2002 .

[20]  Eduardo Barata,et al.  Parking at the UC campus: Problems and solutions , 2011 .

[21]  Noel A Cressie,et al.  Statistics for Spatial Data, Revised Edition. , 1994 .

[22]  Kees Maat,et al.  The role of attitudes toward characteristics of bicycle commuting on the choice to cycle to work over various distances , 2011 .

[23]  K. Krizek,et al.  Gender Differences in Bicycling Behavior and Facility Preferences , 2005 .

[24]  Teresa M Adams,et al.  Carsharing in a University Community , 2009 .

[25]  A. Páez,et al.  Social Influence on Travel Behavior: A Simulation Example of the Decision to Telecommute , 2007 .

[26]  Susan L Handy,et al.  Smart Growth and the Transportation-Land Use Connection: What Does the Research Tell Us? , 2005 .

[27]  Carlos J. L. Balsas,et al.  Sustainable transportation planning on college campuses , 2003 .

[28]  Gulsah Akar,et al.  Influence of Individual Perceptions and Bicycle Infrastructure on Decision to Bike , 2009 .

[29]  R. Cervero,et al.  Travel Choices in Pedestrian Versus Automobile Oriented Neighborhoods - eScholarship , 1995 .

[30]  Darren M. Scott,et al.  Investigating the Effects of Social Influence on the Choice to Telework , 2012 .

[31]  J. Pucher,et al.  Bicycling renaissance in North America? An update and re-appraisal of cycling trends and policies , 2011 .

[32]  S. Handy,et al.  Factors associated with bicycle ownership and use: a study of six small U.S. cities , 2010 .

[33]  Rachel Weinberger,et al.  Separating Contextual from Endogenous Effects in Automobile Ownership Models , 2012 .

[34]  Jennifer Bonham,et al.  Universities and the cycling culture , 2010 .

[35]  A. Páez,et al.  A Discrete-Choice Approach to Modeling Social Influence on Individual Decision Making , 2008 .

[36]  Frank Goetzke,et al.  Network Effects in Public Transit Use: Evidence from a Spatially Autoregressive Mode Choice Model for New York , 2008 .

[37]  Susan L Handy,et al.  Factors associated with proportions and miles of bicycling for transportation and recreation in six small US cities , 2009 .

[38]  J. LeSage,et al.  Spatial Growth Regressions: Model Specification, Estimation and Interpretation , 2007 .

[39]  Chandra R. Bhat,et al.  Commuter Bicyclist Route Choice: Analysis Using a Stated Preference Survey , 2003 .

[40]  Bryan Dorsey,et al.  Mass transit trends and the role of unlimited access in transportation demand management , 2005 .

[41]  Patricia L. Mokhtarian,et al.  What Affects Commute Mode Choice: Neighborhood Physical Structure or Preferences Toward Neighborhoods? , 2005 .

[42]  Kevin J. Krizek,et al.  What is at the end of the road? Understanding discontinuities of on-street bicycle lanes in urban settings , 2005 .

[43]  D. Bolduc,et al.  Spatial Autoregressive Error Components in Travel Flow Models: An Application to Aggregate Mode Choice , 1995 .

[44]  Gulsah Akar,et al.  Travel Choices and Links to Transportation Demand Management , 2012 .

[45]  W. Brock,et al.  A Multinomial-Choice Model of Neighborhood Effects , 2002 .