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Author (up) Holguin-Veras, J.; Reilly, J.; Aros-Vera, F.; Yushimito, W.; Isa, J.
Title Park-and-Ride Facilities in New York City Economic Analyses of Alternative Locations Type
Year 2012 Publication Transportation Research Record Abbreviated Journal Transp. Res. Record
Volume Issue 2276 Pages 123-130
Keywords
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.
Address [Holguin-Veras, Jose; Reilly, Jack; Aros-Vera, Felipe] Rensselaer Polytech Inst, Dept Civil & Environm Engn, Troy, NY 12180 USA, Email: jhv@rpi.edu
Corporate Author Thesis
Publisher Natl Acad Sciences Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0361-1981 ISBN Medium
Area Expedition Conference
Notes WOS:000314427000016 Approved
Call Number UAI @ eduardo.moreno @ Serial 265
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Author (up) Holguin-Veras, J.; Yushimito, W.F.; Aros-Vera, F.; Reilly, J.
Title User rationality and optimal park-and-ride location under potential demand maximization Type
Year 2012 Publication Transportation Research Part B-Methodological Abbreviated Journal Transp. Res. Pt. B-Methodol.
Volume 46 Issue 8 Pages 949-970
Keywords Park and Ride; Optimal location; Transit
Abstract The paper develops analytical formulations to gain insight into the optimal location, i.e., the one that maximizes the potential market, and to estimate the potential catchment area of Park and Ride (P&R) facilities. The formulations are based on the assumption that a traveler would use a P&R facility if and only if the corresponding generalized cost is lower than the drive only alternative. The paper considers two different scenarios: a linear city (or a travel corridor), and a two-dimensional city with Euclidean travel. Analytical derivations were obtained for both cases using, as starting point, the necessary condition for P&R use. In the case of the linear city, the paper identifies two breakeven distances (BEDs) of great import to the estimation of the potential P&R market: the (trip) origin BED, i.e., the distance below which a traveler could drive upstream to use the P&R facility to access its downstream destination, and still be better off; and the (trip) destination BED, i.e., the travel distance using transit below which it does not make sense to use P&R. The paper proves that the optimal location of P&R sites is shifted upstream of what seems to be an intuitive solution, i.e., the edge of the congested region. by a distance that depends on the relative values of the origin and destination BEDs. In the two-dimensional city case, the analytical derivations prove that, for a given trip from i to j, the set of feasible locations follows an ellipse-like figure with the trip origin as a focus. These shapes-referred to as limiting functions-depend on variables such as trip distance, transit level of service (LOS), and the like. The analyses indicate that the area enclosed by the limiting functions increases with the transit LOS and trip distance, and so do the corresponding catchment areas. This is because the catchment area is determined by the marginal trip origins, i.e., those for which the P&R facility is just inside the limiting function. In its final section, the paper develops a parabolic approximation to the catchment area for a given P&R site. The approximating parabola is defined by three critical points: the origin BED, and two points that identify the marginal trip origins at the chord of parabola evaluated at the P&R. The numerical experiments indicate that the parabolic approximation provides a fairly good estimate of the catchment area that is easy to produce, conceptually valid, and overcomes the limitations of alternative approaches and rules of thumb used by practitioners and researchers. (c) 2012 Elsevier Ltd. All rights reserved.
Address [Holguin-Veras, Jose] Rensselaer Polytech Inst, Ctr Infrastruct Transportat & Environm, Dept Civil & Environm Engn, Troy, NY 12180 USA, Email: jhv@rpi.edu;
Corporate Author Thesis
Publisher Pergamon-Elsevier Science Ltd Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0191-2615 ISBN Medium
Area Expedition Conference
Notes WOS:000309439800003 Approved
Call Number UAI @ eduardo.moreno @ Serial 244
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Author (up) Kalahasthi, L.; Holguin-Veras, J.; Yushimito, W.F.
Title A freight origin-destination synthesis model with mode choice Type
Year 2022 Publication Transportation Research Part E-Logistics and Transportation Review Abbreviated Journal Transp. Res. E-Logist. Transp. Rev.
Volume 157 Issue Pages 102595
Keywords Freight origin-destination synthesis; Freight mode choice; Nonconvex optimization
Abstract This paper develops a novel procedure to conduct a Freight Origin-Destination Synthesis (FODS) that jointly estimates the trip distribution, mode choice, and the empty trips by truck and rail that provide the best match to the observed freight traffic counts. Four models are integrated: (1) a gravity model for trip distribution, (2) a binary logit model for mode choice, (3) a Noortman and Van Es' model for truck, and (4) a Noortman and Van Es' model for rail empty trips. The estimation process entails an iterative minimization of a nonconvex objective function, the summation of squared errors of the estimated truck and rail traffic counts with respect to the five model parameters. Of the two methods tested to address the nonconvexity, an interior point method with a set of random starting points (Multi-Start algorithm) outperformed the Ordinary Least Squared (OLS) inference technique. The potential of this methodology is examined using a hypothetical example of developing a nationwide freight demand model for Bangladesh. This research improves the existing FODS techniques that use readily available secondary data such as traffic counts and link costs, allowing transportation planners to evaluate policy outcomes without needing expensive freight data collection. This paper presents the results, model validation, limitations, and future scope for improvements.
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1366-5545 ISBN Medium
Area Expedition Conference
Notes WOS:000793142700006 Approved
Call Number UAI @ alexi.delcanto @ Serial 1584
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Author (up) Silva, K.; Lima, R.D.; Alves, R.; Yushimito, W.F.; Holguin-Veras, J.
Title Freight and Service Parking Needs in Historical Centers: A Case Study in Sao Joao Del Rei, Brazil Type
Year 2020 Publication Transportation Research Record Abbreviated Journal Transp. Res. Record
Volume 2674 Issue 11 Pages 352-366
Keywords
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.
Address [Silva, Kaique; da Silva Lima, Renato] Fed Univ Itajuba UNIFEI, Ind Engn & Management Inst IEPG, Itajuba, MG, Brazil, Email: rslima@unifei.edu.br
Corporate Author Thesis
Publisher Sage Publications Inc Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0361-1981 ISBN Medium
Area Expedition Conference
Notes WOS:000568289100001 Approved
Call Number UAI @ alexi.delcanto @ Serial 1245
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Author (up) Yushimito, W.F.; Ban, X.G.; Holguin-Veras, J.
Title Correcting the Market Failure in Work Trips with Work Rescheduling: An Analysis Using Bi-level Models for the Firm-workers Interplay Type
Year 2015 Publication Networks & Spatial Economics Abbreviated Journal Netw Spat. Econ.
Volume 15 Issue 3 Pages 883-915
Keywords Peak congestion; Rescheduling of work; Market failure; Bi-level models; Stackelberg; Dynamic traffic assignment
Abstract Compulsory trips (e.g., work trips) contribute with the major part of the congestion in the morning peak. It also prevents the society to reach a social optimum (the solution that maximizes welfare) because the presence of the private utility of one the agents (the firm), acting as a dominant agent, does not account for the additional costs imposed in their workers (congestion) as well as the costs imposed to the rest of the society (i.e., congestion, pollution). In this paper, a study of a strategy to influence the demand generator by relaxing the arrival constraints is presented. Bi-level programming models are used to investigate the equilibrium reached from the firm-workers interplay which helps to explain how the market failure arises. The evaluation includes the use of incentives to induce the shift to less congested periods and the case of the social system optimum in which a planner objective is incorporated as a third agent usually seeking to improve social welfare (improve productivity of the firm while at the same time reduce the total system travel time). The later is used to show that it is possible to provide a more efficient solution which better off society. A numerical example is used to (1) show the nature of the market failure, (2) evaluate the social system optimum, and (3) show how a congestion tax or an optimal incentive can help to correct the market failure. The results also corroborate that these mechanisms are more likely to be more efficient when firms face little production effects on time and workers do not high opportunity costs for starting at off peak periods.
Address [Yushimito, Wilfredo F.] Univ Adolfo Ibanez, Dept Sci & Engn, Vina Del Mar, Chile, Email: wilfredo.yushimito@uai.cl;
Corporate Author Thesis
Publisher Springer Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1566-113x ISBN Medium
Area Expedition Conference
Notes WOS:000364529500023 Approved
Call Number UAI @ eduardo.moreno @ Serial 622
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Author (up) Yushimito, W.F.; Ban, X.G.; Holguin-Veras, J.
Title A Two-Stage Optimization Model for Staggered Work Hours Type
Year 2014 Publication Journal Of Intelligent Transportation Systems Abbreviated Journal J. Intell. Transport. Syst.
Volume 18 Issue 4 Pages 410-425
Keywords Optimization; Dynamic User Equilibrium; Quadratic Assignment; Alternative Work Schedules; Staggered Work Hours
Abstract Traditional or standard work schedules refer to the requirement that workers must be at work the same days and during the same hours each day. This requirement constrains work-related trip arrivals, and generates morning and afternoon peak hours due to the concentration of work days and/or work hours. Alternative work schedules seek to reschedule work activities away from this traditional requirement. The aim is to flatten the peak hours by spreading the demand (i.e., assigning it to the shoulders of the peak hour), lowering the peak demand. This not only would reduce societal costs but also can help to minimize the physical requirements. In this article, a two-stage optimization model is presented to quantify the effects of staggered work hours under incentive policies. In the first stage, a variation of the generalized quadratic assignment problem is used to represent the firm's assignment of workers to different work starting times. This is the input of a nonlinear complementarity problem that captures the behavior of the users of the transportation network who are seeking to overcome the constraints imposed by working schedules (arrival times). Two examples are provided to show how the model can be used to (a) quantify the effects and response of the firm to external incentives and (b) evaluate what type of arrangements in starting times are to be made in order to achieve a social optimum.
Address [Yushimito, Wilfredo F.] Univ Adolfo Ibanez, Dept Engn & Sci, Vina Del Mar, Chile, Email: wilfredo.yushimito@uai.cl
Corporate Author Thesis
Publisher Taylor & Francis Inc Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1547-2450 ISBN Medium
Area Expedition Conference
Notes WOS:000342502300008 Approved
Call Number UAI @ eduardo.moreno @ Serial 413
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Author (up) Yushimito, W.F.; Holguin-Veras, J.; Gellona, T.
Title Firm's efficiency and the feasibility of incentives for flextime adoption: a preliminary analysis of Chilean employer's response Type
Year 2018 Publication Transportation Letters-The International Journal Of Transportation Research Abbreviated Journal Transp. Lett.
Volume 10 Issue 4 Pages 202-214
Keywords Flextime; travel demand management; productivity; data envelopment analysis
Abstract Flextime is a Travel Demand Management policy that allows workers to arrive/leave within a certain threshold of time but staying on duty during a period of the day (core hours). Such flexibility in arrival time can have an impact on relieving traffic congestion as it can shift demand to nonpeak periods. However, in several countries, companies are usually reluctant to provide flexibility arguing possible loss in their productivity and efficiency. This paper discusses a preliminary study on perceptions of challenges, and the potential of flextime in congested urban areas. In doing so, we present the information gathered through in-depth-interviews and subsequent questionnaires applied to managers of cars dealers in Santiago, Chile, obtaining both qualitative and quantitative information. The quantitative information obtained was used to develop (1) a data envelopment analysis to investigate whether firms' productivity is affected by flextime or not, and (2) a binary logit model to evaluate financial and non-financial incentives that can allow firms to adopt flextime or change work arrival times. The results obtained from the sample show that, for this particular industry, flextime might not have a significant impact on firms' productivity. Additionally, we found that financial incentives and competitors' work starting times have a significant impact on accepting flextime or relaxing arrival constraints. We also found that if arrangements with the whole industry to change work starting times are made, the effect of this change can be as effective as the provision of financial incentives.
Address [Yushimito, Wilfredo F.; Gellona, Tomas] Univ Adolfo Ibanez, Dept Engn & Sci, Vina Del Mar, Chile, Email: wilfredo.yushimito@uai.cl
Corporate Author Thesis
Publisher Taylor & Francis Ltd Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1942-7867 ISBN Medium
Area Expedition Conference
Notes WOS:000435591000002 Approved
Call Number UAI @ eduardo.moreno @ Serial 881
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