Holguin-Veras, J., Reilly, J., Aros-Vera, F., Yushimito, W., & Isa, J. (2012). Park-and-Ride Facilities in New York City Economic Analyses of Alternative Locations. Transp. Res. Record, (2276), 123–130.
Abstract: A procedure is developed to assess the economic feasibility of park-and-ride facilities. Relevant literature is discussed, and a mathematical formulation that can be integrated with a regional planning model is produced and applied to the selection of park-and-ride facilities in New York City. The evaluation procedure is divided into two main stages: candidate selection and candidate evaluation. The candidates are selected according to a set of criteria that includes demand considerations, transit connectivity and design, community integration, and economic viability. Economic assessment of the candidates considers the generalized cost of travel and entails the use of a binary logit model and the computation of four performance measures: expected demand, market share, weighted average savings, and present value of benefits.
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Kalahasthi, L. K., Sutar, P., Yushimito, W. F., & Holguin-Veras, J. (2023). Optimal Sampling Plan for Freight Demand Synthesis with Mode Choice: A Case study of Bangladesh. Transp. Res. Record, Early Access.
Abstract: This paper uses a comprehensive experimental design to investigate the influence of various traffic count sampling plans for Bangladesh on the performance of the Freight Origin-Destination Synthesis model with Mode Choice (FODS-MC) developed by Kalahasthi et al. FODS-MC estimates a national-level freight demand model including trip distribution, mode choice, empty truck trips, and empty rail trips, where one of the key inputs is the freight truck and rail, traffic counts. The traffic count sample comprises three types of road links (national, regional, and zilla) and one category for the rail link across the country. A Box-Behnken Design (BBD) with a response surface for each of four FODS-MC parameters (distribution, mode choice, truck empty trips, and rail empty trips) is constructed. The results showed that the response surfaces are nonlinear planes for all parameters. There is no single optimal sampling plan for FODS-MC as each model parameter demands different distribution across the truck and rail links. The random and stratified samples perform almost similarly if less than 20% of the sample is collected. Minimizing the loss functions between the estimated and true parameters shows that a random sample between 20% and 25% of the truck and rail links estimates the best freight demand model. Overall, this research develops a framework to assist public practitioners in the optimum usage of the limited time and resources in collecting the traffic count data that could estimate the freight demand and mode choice models effectively.
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Silva, K., Lima, R. D., Alves, R., Yushimito, W. F., & Holguin-Veras, J. (2020). Freight and Service Parking Needs in Historical Centers: A Case Study in Sao Joao Del Rei, Brazil. Transp. Res. Record, 2674(11), 352–366.
Abstract: The objective of this study is to analyze the demand for loading and unloading parking spaces in the center of Sao Joao Del Rei, a historical city in the State of Minas Gerais, Brazil, through freight trip generation models. To generate the models, the number of employees is used as an independent variable. Results show that the historical center receives an average of 710 freight trips per day, which would require at least 43 spaces for loading and unloading. As the center has only eight such spaces available, representing 18% of total demand, this study proposes new locations and suggests transportation demand management measures that could be used in conjunction with the allocation of new parking spots.
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