Evaluating the attractiveness of a new light rail extension: Testing simple change and displacement change hypotheses.

Many communities in the United States have been adding new light rail to bus-predominant public transit systems. However, there is disagreement as to whether opening light rail lines attracts new ridership or merely draws ridership from existing transit users. We study a new light rail line in Salt Lake City, Utah, USA, which is part of a complete street redevelopment. We utilize a pre-test post-test control group quasi-experimental design to test two different measures of ridership change. The first measure is calculated from stops along the light rail route; the second assumes that nearby bus stops might be displaced by the rail and calculates ridership change with those stops included as baseline. Both the simple measure (transit use changes on the complete street light rail corridor) and the "displacement" measure (transit use changes in the one-quarter mile catchment areas around new light rail stops) showed significant (p < .01) and substantial (677%) increases in transit passengers compared to pre-light rail bus users. In particular, the displacement analysis discredits a common challenge that when a new light rail line opens, most passengers are simply former bus riders whose routes were canceled in favor of light rail. The study suggests that light rail services can attract additional ridership to public transit systems. In addition, although pre-post control-group designs require time and effort, this project underscores the benefits of such quasi-experimental designs in terms of the strength of the inferences that can be drawn about the impacts of new transit infrastructure and services.

[1]  P. Newman,et al.  Costs of Automobile Dependence: Global Survey of Cities , 1999 .

[2]  Gregory L. Thompson,et al.  Making a Successful LRT-Based Regional Transit System: Lessons from Five New Start Cities , 2009 .

[3]  Randal O'Toole,et al.  Defining Success: The Case Against Rail Transit , 2010 .

[4]  Matthew E. Kahn,et al.  Effects of Urban Rail Transit Expansions: Evidence from Sixteen Cities, 1970-2000 , 2006 .

[5]  Robert B. Noland,et al.  Does the commute mode affect the frequency of walking behavior? The public transit link , 2012 .

[6]  James E. Moore,et al.  TEN MYTHS ABOUT U.S. URBAN RAIL SYSTEMS , 1999 .

[7]  T. Litman Evaluating rail transit benefits: A comment , 2007 .

[8]  James E. Moore Ridership and cost on the Long Beach-Los Angeles Blue Line Train , 1993 .

[9]  Daniel K Boyle PASSENGER COUNTING TECHNOLOGIES AND PROCEDURES , 1998 .

[10]  Susan L Handy,et al.  How the built environment affects physical activity: views from urban planning. , 2002, American journal of preventive medicine.

[11]  Hari Bansha Dulal,et al.  Climate change mitigation in the transport sector through urban planning: A review , 2011 .

[12]  John M. Stutsman,et al.  Bus Rapid Transit or Light Rail Transit—How to Decide?: Los Angeles Case Study , 2002 .

[13]  D. Shoup The High Cost of Free Parking , 1997 .

[14]  Carol M. Werner,et al.  Personal and Contextual Factors Supporting the Switch to Transit Use: Evaluating a Natural Transit Intervention , 2003 .

[15]  Peter G Furth,et al.  Optimal Bus Stop Spacing Through Dynamic Programming and Geographic Modeling , 2000 .

[16]  Ming Zhang,et al.  Bus versus Rail , 2009 .

[17]  Matthew E. Kahn,et al.  The effects of new public projects to expand urban rail transit , 2000 .

[18]  Alan T. Murray,et al.  Accessibility tradeoffs in public transit planning , 2003, J. Geogr. Syst..

[19]  Christopher M Puchalsky,et al.  Comparison of Emissions from Light Rail Transit and Bus Rapid Transit , 2005 .

[20]  D. Warburton,et al.  Health benefits of physical activity: the evidence , 2006, Canadian Medical Association Journal.

[21]  Xinyu Cao,et al.  Examining the impacts of residential self-selection on travel behavior: A focus on methodologies , 2008 .

[22]  Moshe Ben-Akiva,et al.  Comparing ridership attraction of rail and bus , 2002 .

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

[24]  Paul M Weyrich,et al.  TWELVE ANTI-TRANSIT MYTHS: A CONSERVATIVE CRITIQUE , 2001 .

[25]  R. Cervero,et al.  Effects of Built Environments on Vehicle Miles Traveled: Evidence from 370 US Urbanized Areas , 2010 .

[26]  C Hass-Klau,et al.  BUS OR LIGHT RAIL: MAKING THE RIGHT CHOICE - A FINANCIAL, OPERATIONAL AND DEMAND COMPARISON OF LIGHT RAIL, GUIDED BUSES, BUSWAYS AND BUS LANES , 2004 .

[27]  S. O’sullivan,et al.  Walking Distances to and from Light-Rail Transit Stations , 1996 .

[28]  D. Campbell,et al.  EXPERIMENTAL AND QUASI-EXPERIMENT Al DESIGNS FOR RESEARCH , 2012 .

[29]  A. Páez,et al.  Enjoyment of commute: A comparison of different transportation modes , 2010 .

[30]  J. Jacobs The Death and Life of Great American Cities , 1962 .

[31]  M. Delucchi ENVIRONMENTAL EXTERNALITIES OF MOTOR-VEHICLE USE IN THE US. IN: THE AUTOMOBILE , 2000 .

[32]  Xinyu Cao,et al.  The Influences of Light Rail Transit on Transit Use: An Exploration of Station Area Residents along the Hiawatha Line in Minneapolis , 2013 .

[33]  Reid Ewing,et al.  Use of the Real Estate Market to Establish Light Rail Station Catchment Areas , 2013 .

[34]  H. Lund Reasons for Living in a Transit-Oriented Development, and Associated Transit Use , 2006 .

[35]  Martyn Leslie Senior,et al.  Impacts on travel behaviour of Greater Manchester’s light rail investment (Metrolink Phase 1): evidence from household surveys and Census data , 2009 .

[36]  Steven Spears,et al.  The Exposition Light Rail Line Study: a Before and After Study of the Impact of New Light Rail Transit Service , 2013 .

[37]  S. French,et al.  The Travel—Obesity Connection: Discerning the Impacts of Commuting Trips with the Perspective of Individual Energy Expenditure and Time Use , 2013 .