Quantifying Transportation Benefits of Transit-Oriented Development in New Jersey

The cost of transportation plays an important role in residential location choice. Reducing transportation costs not only benefits the user but also improves the performance of the system as a whole. A direct impact of transit-oriented development (TOD) is the change in out-of-pocket costs for users, as well as the changes in costs of externalities and agency benefits. The prime mover for these changes is the shift in population when a TOD is built near train stations and the induced mode shifts from driving to transit. In this study several sites throughout New Jersey were evaluated to determine the cost of driving versus the cost of using rail transit to major employment destinations in New Jersey and New York City. Driving costs were composed of vehicle operating costs (including fuel, wear and tear, and depreciation), value of time based on the highway travel time from origin to destination, parking cost, and cost of externalities such as air and noise pollution, road maintenance, and accidents. Transit costs were composed of fares, parking costs, and values of travel time, waiting time, and transfer time. The likely changes in population resulting from the TOD were used to estimate changes in highway and transit trips. The costs were compared to derive the net benefit for transportation system users as a result of the TOD. Generally, TOD results in financial benefits to the user and the transportation system.

[1]  Joseph Berechman,et al.  ESTIMATION AND EVALUATION OF FULL MARGINAL COSTS OF HIGHWAY TRANSPORTATION IN NEW JERSEY , 2001 .

[2]  D. Salon,et al.  Cars and the City: An Investigation of Transportation and Residential Location Choices in New York City , 2006 .

[3]  Kaan Ozbay,et al.  Cost of Transporting People in New Jersey Phase 2 , 2007 .

[4]  M. Ben-Akiva,et al.  Tradeoffs in residential location decisions: Transportation versus other factors , 1980 .

[5]  Ming Zhang,et al.  Can Transit Oriented Developments Reduce Austin's Traffic Congestion? , 2006 .

[6]  André de Palma,et al.  A model of residential location choice with endogenous housing prices and traffic for the Paris region , 2005 .

[7]  Kaan Ozbay,et al.  Value of Travel Time Estimation Using Hierarchical Bayesian Mixed Logit Approach , 2010 .

[8]  Kaan Ozbay,et al.  Evaluating Highway Capacity Investments Using a Geographic Information Systems-Based Tool , 2007 .

[9]  Kara M. Kockelman,et al.  Accessibility Indices: Connection to Residential Land Prices and Location Choices , 2002 .

[10]  Kaan Ozbay,et al.  Measuring Benefits of Transit Oriented Development , 2014 .

[11]  R. Cervero.  Transit-Oriented Development's Ridership Bonus: A Product of Self-Selection and Public Policies , 2006 .

[12]  R. Cervero.  Alternative Approaches to Modeling the Travel-Demand Impacts of Smart Growth , 2006 .

[13]  K. Small,et al.  The economics of urban transportation , 2007 .

[14]  Ming Zhang.  Can Transit-Oriented Development Reduce Peak-Hour Congestion? , 2010 .

[15]  Rongfang Liu,et al.  Assessment of Intermodal Transfer Penalties Using Stated Preference Data , 1997 .

[16]  R. Burchell,et al.  Conventional development versus managed growth: the costs of sprawl. , 2003, American journal of public health.

[17]  Atsushi Fukuda,et al.  The Combined Trip Distribution, Modal Split and Traffic Assignment Equilibrium Model to Evaluate the Transit Oriented Development Policy , 2004 .

[18]  Kaan Ozbay,et al.  A Simplified Emissions Estimation Methodology Based on MOVES to Estimate Vehicle Emissions from Transportation Assignment and Simulation Models , 2013 .

[19]  M. Wardman.  A REVIEW OF BRITISH EVIDENCE ON TIME AND SERVICE QUALITY VALUATIONS , 2001 .