Measuring Service Gaps

The integration of transit needs into transit accessibility indexing is important for evaluating existing transportation systems and service gaps and for identifying priority areas for investments in transportation infrastructure. This study detailed an indexing model for accessibility of transit need and focused on the necessity of evaluating transit needs and transit accessibility simultaneously. A need index was developed to identify areas in high need of public transit services from economic and sociodemographic information, and a composite accessibility index was developed to identify levels of access to transit services and shortcomings in providing service. The need for transit service was then modeled as the lack of transit accessibility, and the model correlated different access indicators with their ability to predict transit service need. This model mapped areas with different levels of transit accessibility and transit needs by using a single score, which may be easily interpreted by planners who examine transit equity. The model was applied to the city of Meriden, Connecticut, and results were compared with a general approach for consistency and effectiveness. The usefulness of the model was also highlighted through a representative example of the model's application.

[1]  Sandra Rosenbloom,et al.  Sustainability and automobility among the elderly: An international assessment , 2001 .

[2]  Graham Currie,et al.  Quantifying spatial gaps in public transport supply based on social needs , 2010 .

[3]  Terri L. Moore,et al.  Regression Analysis by Example , 2001, Technometrics.

[4]  Chandra R. Bhat,et al.  Metropolitan Area Transit Accessibility Analysis Tool , 2006 .

[5]  S. Chatterjee,et al.  Regression Analysis by Example (2nd ed.). , 1992 .

[6]  J. Hine,et al.  Better for Everyone? Travel Experiences and Transport Exclusion , 2001 .

[7]  Eric R. Ziegel,et al.  Applied Statistics for Engineers and Scientists (2nd ed.) , 2005 .

[8]  H. White A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity , 1980 .

[9]  William Cyrus Navidi,et al.  Statistics for Engineers and Scientists , 2004 .

[10]  Margaret Grieco,et al.  Scatters and clusters in time and space: implications for delivering integrated and inclusive transport , 2003 .

[11]  Alan T. Murray,et al.  Equity in Regional Service Provision , 2001 .

[12]  Asha Weinstein Agrawal,et al.  TTSAT: A New Approach to Mapping Transit Accessibility , 2010 .

[13]  B. Taylor,et al.  RECONSIDERING SOCIAL EQUITY IN PUBLIC TRANSIT , 1999 .

[14]  G Currie,et al.  DETERMINING PRIORITIES FOR PASSENGER TRANSPORT FUNDING: THE NEEDS ASSESSMENT APPROACH , 1992 .

[15]  Ram M. Pendyala,et al.  Development of Time-of-Day–Based Transit Accessibility Analysis Tool , 2002 .

[16]  Julian Hine,et al.  Transport Disadvantage and Social Exclusion: Exclusionary Mechanisms in Transport in Urban Scotland , 2003 .

[17]  G. Currie Gap Analysis of Public Transport Needs:Measuring Spatial Distribution of Public Transport Needs and Identifying Gaps in the Quality of Public Transport Provision , 2004 .

[18]  Nicholas E Lownes,et al.  An Aggregated Public Transit Accessibility Measure , 2010 .

[19]  G. M. Davis The Department of Transportation , 1970 .

[20]  Mike McDonald,et al.  Accessibility Indices: Pilot Study and Potential Use in Strategic Planning , 1999 .