Loading...
Search for:
willingness-to-pay
0.005 seconds
Economical Value of Travel Time Reliability for Morning Commute
, M.Sc. Thesis Sharif University of Technology ; Nassiri, Habibollah (Supervisor)
Abstract
Traditionally, analysis of networks was based on mean values of travel time. In this method, it is supposed that streets have constant demand and capacity. However, supply and demand are variable because of reasons like weather condition and accidents. This means that in addition to average travel time other factors are required. For this purpose, using travel time reliability can help to have more realistic analysis of network. Main objective of this study is to understand the decisions of travelers when they face unreliable routs. For this reason, effects of travel time, travel time reliability and price for business trips by personal car are measured by using stated preferences. Also, by...
Joint pricing and location decisions in a heterogeneous market
, Article European Journal of Operational Research ; Volume 261, Issue 1 , 2017 , Pages 234-246 ; 03772217 (ISSN) ; Shavandi, H ; Abouee Mehrizi, H ; Sharif University of Technology
Abstract
In this paper we consider the problem of joint location and pricing optimization for a firm in a heterogeneous market producing a single product. We assume that customers have a different willingness to pay for the product. We consider two classes of customers who are not uniformly distributed in the market and develop an analytical framework to determine the relationship between the optimal price and location of the firm. We demonstrate that the optimal price and location are closely related to each other, and thus there is a need for simultaneous optimization of the price and location. We provide both analytical and numerical results to illustrate the impact of transportation cost and the...
Determining the Acceptance and the Willingness to Pay for Private and Public Autonomous Vehicles
, Ph.D. Dissertation Sharif University of Technology ; Nassiri, Habibollah (Supervisor)
Abstract
Autonomous vehicles (AVs) offer numerous advantages in reducing traffic accidents, alleviating congestion, and enhancing mobility for special populations such as the elderly and disabled. However, for society to truly benefit from these advantages, widespread acceptance and usage of these cars are necessary. It is crucial to identify the factors that promote acceptance of these cars in different societies and take action to strengthen them, involving both governments and car manufacturers. So far, most studies on AVs acceptance models have primarily focused on developed countries, with less attention given to how people in developing countries perceive this technology. Additionally, previous...
Heterogeneity in preferences of air travel itinerary in a low-frequency market
, Article Transportation Research Record ; Issue 2214 , 2011 , Pages 10-19 ; 03611981 (ISSN) ; Puckett, S. M ; Nassiri, H ; Sharif University of Technology
2011
Abstract
Research in the choice behavior of air travelers has evolved to include an analytical focus on variation in the sensitivities of travelers to factors influencing itinerary choice. Some choice studies have moved beyond a focus on assumed representative, mean-level sensitivities toward a goal of representing the distribution of preferences across a sample. The mixed multinomial logit model has served as a valuable means of estimating such distributions of air travel preferences, including studies of business travelers, impacts of airport level-of-service attributes, distributions of willingness-to-pay (WTP), and information-processing strategies. Does the insight gained in previous studies,...
Accounting for systematic influences on preference heterogeneity in air travel
, Article Transportation Research Record ; Issue 2300 , 2012 , Pages 147-154 ; 03611981 (ISSN) ; Puckett, S. M ; Sharif University of Technology
2012
Abstract
Modeling passengers' itinerary choice behavior helps in understanding the increasingly competitive airline market and in predicting air travel demand. Recently, investigation of the variation in passengers' preferences with regard to factors influencing their choice through estimation of the mixed multinomial logit model has received attention. An extended form of the model identifies sources of heterogeneity and consequently makes the choice models less restrictive in considering both systematic and random preference variation across individuals. This research investigates the existence of significant interactions between passengers' preference heterogeneity around the mean of random...
Incorporating car owner preferences for the introduction of economic incentives for speed limit enforcement
, Article Transportation Research Part F: Traffic Psychology and Behaviour ; Volume 64 , 2019 , Pages 509-521 ; 13698478 (ISSN) ; Nassiri, H ; Van Wee, B ; Araghi, Y ; Sharif University of Technology
Elsevier Ltd
2019
Abstract
Human error including driving misbehavior contributes to over 90 percent of road vehicle accidents, and speeding is considered to be risky. Smart technologies, such as Connected Vehicle System (CVS) are among the interesting technical options to improve driving behavior, and Pay-As-You-Speed (PAYS) is an effective economic incentive to reduce speed violations. We investigated the acceptability of CVS with and without the presence of economic incentives, such as PAYS, in the context of a middle-income country: Iran. We used a Zero-Inflated Ordered Probit model (ZIOP) to estimate drivers’ willingness to pay for a CVS, and a hazard-based model for predicting the incentive level needed for...
Policy Instruments for the Improvement of Customers’ Willingness to Purchase Electric Vehicles: A Case Study in Iran
, Article Energies ; Volume 15, Issue 12 , 2022 ; 19961073 (ISSN) ; Mirzamohammadi, S ; Naeini, A. B ; Maleki, A ; Mobayen, S ; Skruch, P ; Sharif University of Technology
MDPI
2022
Abstract
Given the various advantages of electric vehicles compared to conventional gasoline vehicles in terms of energy efficiency and environmental pollution (among others), this paper studies the factors affecting customers’ willingness to purchase electric vehicles. An integrated discrete choice and agent-based approach is applied to model the customers’ choice for the valuation of electric vehicles based on the internal reference price. The agent-based model evaluates customers’ preferences for a number of personal and vehicle attributes, according to which vehicle they chose. Data from 376 respondents are collected to estimate a random-parameter logit model where customers are asked to reveal...