The Experts below are selected from a list of 324 Experts worldwide ranked by ideXlab platform
Takashi Akamatsu - One of the best experts on this subject based on the ideXlab platform.
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Dynamic Revenue Management of a Toll Road Project under Transportation Demand Uncertainty
Networks and Spatial Economics, 2006Co-Authors: Takeshi Nagae, Takashi AkamatsuAbstract:This study proposes a prototype quantitative method for dynamic revenue management of a private toll road, taking into account the long-term dynamics of Transportation Demand. This is first formulated as a stochastic singular control problem, in which the manager can choose the toll level from two discrete values. Each toll change requires nonnegative adjustment costs. Our analysis then reveals that the optimality condition reduces to standard linear complementarity problems, by using certain function transformation techniques. This enables us to develop an efficient algorithm for solving the problem, exploiting the recent advances in the theory of complementarity problems. Copyright Springer Science + Business Media, LLC 2006Toll road projects, Dynamic revenue management, Transportation Demand uncertainty, Stochastic singular control, Generalized complementarity problem,
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dynamic revenue management of a toll road project under Transportation Demand uncertainty
Networks and Spatial Economics, 2006Co-Authors: Takeshi Nagae, Takashi AkamatsuAbstract:This study proposes a prototype quantitative method for dynamic revenue management of a private toll road, taking into account the long-term dynamics of Transportation Demand. This is first formulated as a stochastic singular control problem, in which the manager can choose the toll level from two discrete values. Each toll change requires nonnegative adjustment costs. Our analysis then reveals that the optimality condition reduces to standard linear complementarity problems, by using certain function transformation techniques. This enables us to develop an efficient algorithm for solving the problem, exploiting the recent advances in the theory of complementarity problems. Copyright Springer Science + Business Media, LLC 2006
Khandker Nurul Habib - One of the best experts on this subject based on the ideXlab platform.
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development of an employer based Transportation Demand management strategy evaluation tool with an advanced discrete choice model in its core
Transportation Research Record, 2016Co-Authors: Sami M Hasnine, Adam Weiss, Khandker Nurul HabibAbstract:This paper presents a tool for the evaluation of employer-based Transportation Demand management (TDM) strategies. The conventional method of evaluating TDM strategies has typically been to conduct expensive before-and-after strategy implementation surveys. As an alternative approach, this research uses a joint revealed preference (RP) and stated preference (SP) survey (the RP–SP survey) administered before deployment of the TDM strategy, which is more cost-effective and efficient. The data collected from the RP–SP survey were used to estimate an advanced discrete choice model, which was packaged into a spreadsheet-based tool for TDM decision support. The tool adopted the concept of penetration rate, whereby only a subset of the target population could be targeted for any specific TDM strategy. The tool that was developed provides an alternative approach for the predeployment evaluation of any TDM strategy for efficient implementation. Moreover, the empirical model used in the tool reveals many behavioral...
Takeshi Nagae - One of the best experts on this subject based on the ideXlab platform.
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Dynamic Revenue Management of a Toll Road Project under Transportation Demand Uncertainty
Networks and Spatial Economics, 2006Co-Authors: Takeshi Nagae, Takashi AkamatsuAbstract:This study proposes a prototype quantitative method for dynamic revenue management of a private toll road, taking into account the long-term dynamics of Transportation Demand. This is first formulated as a stochastic singular control problem, in which the manager can choose the toll level from two discrete values. Each toll change requires nonnegative adjustment costs. Our analysis then reveals that the optimality condition reduces to standard linear complementarity problems, by using certain function transformation techniques. This enables us to develop an efficient algorithm for solving the problem, exploiting the recent advances in the theory of complementarity problems. Copyright Springer Science + Business Media, LLC 2006Toll road projects, Dynamic revenue management, Transportation Demand uncertainty, Stochastic singular control, Generalized complementarity problem,
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dynamic revenue management of a toll road project under Transportation Demand uncertainty
Networks and Spatial Economics, 2006Co-Authors: Takeshi Nagae, Takashi AkamatsuAbstract:This study proposes a prototype quantitative method for dynamic revenue management of a private toll road, taking into account the long-term dynamics of Transportation Demand. This is first formulated as a stochastic singular control problem, in which the manager can choose the toll level from two discrete values. Each toll change requires nonnegative adjustment costs. Our analysis then reveals that the optimality condition reduces to standard linear complementarity problems, by using certain function transformation techniques. This enables us to develop an efficient algorithm for solving the problem, exploiting the recent advances in the theory of complementarity problems. Copyright Springer Science + Business Media, LLC 2006
Hani S Mahmassani - One of the best experts on this subject based on the ideXlab platform.
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forecasting freight Transportation Demand with the space time multinomial probit model
Transportation Research Part B-methodological, 2000Co-Authors: Rodrigo A Garrido, Hani S MahmassaniAbstract:Freight Transportation Demand is a highly variable process over space and time. A multinomial probit (MNP) model with spatially and temporally correlated error structure is proposed for freight Demand analysis for tactical/operational planning applications. The resulting model has a large number of alternatives, and estimation is performed using Monte-Carlo simulation to evaluate the MNP likelihoods. The model is successfully applied to a data set of actual shipments served by a large truckload carrier. In addition to the substantive insights obtained from the estimation results, forecasting tests are performed to assess the model's predictive ability for operational purposes.
Sami M Hasnine - One of the best experts on this subject based on the ideXlab platform.
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development of an employer based Transportation Demand management strategy evaluation tool with an advanced discrete choice model in its core
Transportation Research Record, 2016Co-Authors: Sami M Hasnine, Adam Weiss, Khandker Nurul HabibAbstract:This paper presents a tool for the evaluation of employer-based Transportation Demand management (TDM) strategies. The conventional method of evaluating TDM strategies has typically been to conduct expensive before-and-after strategy implementation surveys. As an alternative approach, this research uses a joint revealed preference (RP) and stated preference (SP) survey (the RP–SP survey) administered before deployment of the TDM strategy, which is more cost-effective and efficient. The data collected from the RP–SP survey were used to estimate an advanced discrete choice model, which was packaged into a spreadsheet-based tool for TDM decision support. The tool adopted the concept of penetration rate, whereby only a subset of the target population could be targeted for any specific TDM strategy. The tool that was developed provides an alternative approach for the predeployment evaluation of any TDM strategy for efficient implementation. Moreover, the empirical model used in the tool reveals many behavioral...
