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transportation-demand
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Multi-objective cordon price design to control long run adverse traffic effects in large urban areas
, Article NETNOMICS: Economic Research and Electronic Networking ; Volume 16, Issue 1-2 , August , 2015 , pp 1–52 ; 13859587 (ISSN) ; Rezaeestakhruie, H ; Poorzahedy, H ; Sharif University of Technology
Springer New York LLC
2015
Abstract
Pricing is seen as a viable alternative to manage the demand for transportation facilities. While supply increase might aggravate the problem, pricing is envisaged to relieve large cities from adverse traffic effects (congestion and pollution, among others). Nevertheless, pricing has its own drawbacks, often overlooked by the operators of the networks. It will cause changes in the travel behavior of the different groups and their demands (shoppers, retailers, and even basic businesses/ employees). This paper presents an extensive review of the subject, and an equilibrium model to estimate the long–run effects of a cordon pricing scheme. The problem of designing a price for a Central Business...
Benchmarking sustainability with respect to transportation supply and demand
, Article International Journal of Engineering, Transactions B: Applications ; Volume 17, Issue 4 , 2004 , Pages 357-368 ; 1728-144X (ISSN) ; Vaziri, M ; Sharif University of Technology
Materials and Energy Research Center
2004
Abstract
This paper is an endeavor to quantify the concept of sustainable transportation. The prevailing idea in the context of sustainable development (SD) emphasizes on the reduction of transportation demand in order to reduce the environmental and social consequences of it. Nevertheless, in the current paper using a measure for SD and based on the conformity of the growths of all sectors with transportation supply and demand, the countries are comparatively studied. The measure, elasticity, for each two variables indicates the extent to which those two variables have been changing consistently. Indeed the elasticity values are measures of a "harmonic development" representing sustainability. The...
Examining Employees' Preference toward Telecommuting with an Emphasis on Women Employees
, M.Sc. Thesis Sharif University of Technology ; Kermanshah, Mohammad (Supervisor)
Abstract
The object of this investigation is to explore women employees' preferences toward telecommuting. As the increasing role of women in social and economical activities expands their contributions to urban traffic and the importance of Transportation Demand Management (TDM) including telecommuting, which is a new strategy in management and modification of commuting pattern, needs to be addressed. The sample used in this research has obtained from the questionnaire distributed at seven governmental and semi-governmental organizations. The data is used to generate models which are applied to examine women telecommuting preferences, and their preferences from home or local offices. The amount of...
Joint Modelling of Telecommuting’s Feasibility and Freguency for Employees, Application of Copula Models
, M.Sc. Thesis Sharif University of Technology ; Kermanshah, Mohammad (Supervisor)
Abstract
Since expansion of communication technology, telecommuting has gained attention from transportation planners as an approach in field of demand management. In this research, joint effects of feasibility of telecommuting for the employees of each organization and the relevant frequency of employees have been evaluated by using the copula model as the most recent conventional way of developing a joint model since the last few years. The result of telecommuting acceptance is that after presenting the project to each organization, the head employer measures the appropriateness of the project for employees and if he reaches a consensus on the success of the project, the employees get involved and...
Exploring the role of transportation demand management policies' interactions
, Article Scientia Iranica ; Volume 18, Issue 5 , 2011 , Pages 1037-1044 ; 10263098 (ISSN) ; Kermanshah, M ; Sharif University of Technology
Abstract
The integration of Transportation Demand Management (TDM) policies is a challenging issue in urban policy studies. Interactions between policies that are not addressed broadly in the integration context play a main role in the outcome of TDM policy packages. However, different individual daily trip purposes, city development, variations in land use and different levels of decision making about transportation often lead to the implementation of more than one TDM policy at a time. This study examined the role of TDM policy interactions on the macro and micro levels. On the macro level, this study showed that the introduction of two-way interactions in the model could improve the goodness of...
Investigation the Effects of Parking Pricing and Improving Public Transportation Policies on Private Car Use Reduction in Central Business District
, M.Sc. Thesis Sharif University of Technology ; Kermanshah, Mohammad (Supervisor)
Abstract
Nowadays, with population growth and vehicle traffic increase, only providing transportation supply couldn’t answer the transportation demand. One of the most important solutions to reduce traffic is transportation demand management (TDM). In this research, the effects of parking pricing and improving public transportation services on private car demand reduction in city center are examined. The data are collected from private cars users in the city center of Isfahan through interviews. By stated preference method, the impacts of parking price and public transit travel time and other related factors were investigated. For this purpose, binary logit, multinomial logit and nested logit models...
A Comprehensive Model for Sustainable Growth Management in Arial Transport
, M.Sc. Thesis Sharif University of Technology ; Malaek, Mohammad Bagher (Supervisor)
Abstract
To gain commercial competitive advantage in a constantly changing business environment, demand forecasting is very crucial for an organization in order to make right decisions regarding manufacturing and inventory management. The objective of this thesis is to propose a forecasting technique which is modeled by artificial neural-fuzzy networks. The effectiveness of the proposed approach to the demand forecasting issue is demonstrated using real-word data. Then we investigate a suitability of a decision-making model for airline route planning based on the so called “Game Theory”. The model is helpful to decide whether a new route is, in fact, needed. Different case studies reveal that...
Design and Assessment of Integrated Transportation Demand Management Policies for Urban Commuter Trips
, Ph.D. Dissertation Sharif University of Technology ; Kermanshah, Mohammad (Supervisor)
Abstract
Integration of transportation demand management (TDM) policies, as a realistic and effective approach, is a challenging issue in urban policy studies. This study examines the role of transportation demand management (TDM) policy packages on commuters' mode choice in the city of Tehran. The analysis is based on the results of stated preferences survey developed by efficient choice design as a specialized type of fractional factorial design approach. Five policies, namely increasing parking cost, increasing fuel cost, cordon pricing, transit time reduction and transit access improvement, are assessed in considering six modes of travel to work place. A multinomial logit model has been developed...
Simulation of Road Freight Transport Companies with Stochastic Demand
, M.Sc. Thesis Sharif University of Technology ; Samimi, Amir (Supervisor)
Abstract
This study has added strategies to the decisions of road freight transport companies in their agent-based model. Added strategies are related to the company's supply management and in response to current and future demands. By forecasting future demand, uncertainty is to be present in this part of the demand. Firms use vehicle routing algorithms to meet existing demand, and car Sharing approaches to the second strategy. The algorithm used in the first strategy is a meta-heuristic algorithm called simulated annealing. For the second strategy, two scenarios are added to the simulation model, and in the second scenario, which is a more accurate scenario, the problem in question is defined in...
Evaluating the Impact of Gasoline Price Change on the Passing Car Volume in the Provinces of Iran and Tehran and the Impact of CBD Entry Policy Change on the Passing Car Volume in Tehran
, M.Sc. Thesis Sharif University of Technology ; Amini, Zahra (Supervisor)
Abstract
Nowadays, various policies are adopted by transportation managers and planners. These policies aim to improve system performance, reduce user costs, control and reduce air pollution, reduce noise pollution, and ultimately reduce congestion. A set of these policies in the form of transportation demand management is presented in the literature. A common way to find the effect of a policy on user behavior is to use questionnaires. Other causal inference models have been proposed in disciplines such as statistics, political science, marketing science, epidemiology, and psychology. The purpose of these models is to find the causal effect of an intervention (treatment) on a system. These studies...
Coping with congestion: Understanding the role of simultaneous transportation demand management policies on commuters
, Article Transport Policy ; Volume 30 , 2013 , Pages 229-237 ; 0967070X (ISSN) ; Kermanshah, M ; Sharif University of Technology
2013
Abstract
This paper examines the role of transportation demand management (TDM) policies on commuters' mode choice in the city of Tehran. The analysis is based on the results of a stated preferences survey developed through the design of experiments approach. Five policies covering increasing parking cost, increasing fuel cost, cordon pricing, transit time reduction, and transit access improvement are assessed in order to study their impact on commuters' consideration of six modes of transportation to travel to work. A multinomial logit model was developed for the 366 commuters who regularly commute to their workplace in the center of the city. In addition to a number of commuting and contextual...
PBN-Based time-optimal terminal air traffic control using cellular automata
, Article IEEE Transactions on Aerospace and Electronic Systems ; Volume 57, Issue 3 , 2021 , Pages 1513-1523 ; 00189251 (ISSN) ; Amiri Atashgah, M. A ; Malaek, S. M. B ; Thulasiraman, P ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2021
Abstract
Over the last decade, there has been an increase in air transportation, which has raised awareness to provide necessary procedures to respond to air transportation demands and reduce delay costs. One such procedure, 'performance-based navigation (PBN),' currently studied, is expected to increase the airspace capacity based on aircraft's individual performances. This research describes an efficient and expandable model for allocating standard terminal arrival route during continuous descent approach (CDA) that effectively uses PBN requirements. As a case study, we have considered the 'Atlanta International Airport' and verified the model's accuracy using real-time traffic data. The model is...
Pricing and quality setting strategy in maritime transportation: Considering empty repositioning and demand uncertainty
, Article International Journal of Production Economics ; Volume 240 , 2021 ; 09255273 (ISSN) ; Zolfagharinia, H ; Sharif University of Technology
Elsevier B.V
2021
Abstract
Imbalanced international trade and the limited number of containers in the maritime transportation industry have resulted in considerable costs and decreased profits for shipping firms. To manage these issues, this study utilizes price management techniques to control empty container repositioning in a transportation system. In this system, there is a firm providing transportation services between two ports in both directions. Each direction has its own uncertain potential demand that can be affected by the prices and the quality set by the firm. We develop a mathematical formulation to set the quality and prices of the service in order to maximize the firm's profit. Due to demand...
Predictive Cordon Pricing to Reduce Air Pollution
, Ph.D. Dissertation Sharif University of Technology ; Poorzahedy, Hossain (Supervisor) ; Lindsey, Robin (Co-Supervisor)
Abstract
Traffic is a major contributor to emissions in many large cities with severe air pollution. Experience in London, Milan, and Stockholm shows that charging for the use of roads can be effective in reducing emissions, as well as congestion. This study examines the use of predictive cordon tolls based on weather forecasts to reduce ambient air pollution and congestion. Travelers choose their destinations inside or outside the cordon, and whether to drive or take public transport. Passenger vehicles are divided into three classes according to their emission characteristics, and higher tolls are imposed on more polluting vehicles. The Box model of emission dispersion is used to predict air...
Disaggregate mode choice analysis for work trips using genetic-fuzzy and neuro-fuzzy systems
, Article 10th IASTED International Conference on Artificial Intelligence and Soft Computing, ASC 2006, Palma de Mallorca, 28 August 2006 through 30 August 2006 ; 2006 , Pages 250-255 ; 0889866104 (ISBN); 9780889866102 (ISBN) ; Nazari, S ; Sharif University of Technology
2006
Abstract
This paper applies the genetic-fuzzy and neuro-fuzzy systems to analyze a disaggregate mode choice problem for work trips. These two artificial intelligence methods have been widely used in many complex engineering problems recently. Some key points in developing genetic-fuzzy and neuro-fuzzy systems to analyze the mode choice problem for a large city are explained. Shiraz urban trips database is applied to prepare the data needed for the models. Results show that the developed models have good ability to estimate the existing situation and also to present reliable predictions for the future conditions of an urban transportation system