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|Title: ||Estimation of Value of Time for a Congested Network – A case study of the National Highway, Karachi|
|Authors: ||Fazal Abbas Baqueri, Syed|
Shabbar Ali, M.
|Issue Date: ||2016|
|Citation: ||Procedia Computer Science, p. 262-269|
|Series/Report: ||Procedia Computer Science|
|Series/Report no.: ||83|
|Abstract: ||Traffic congestion in mega cities is a common phenomenon for developing countries. Numerous studies on congestion cost estimation, that aim to quantify their monetary losses, have been conducted. Value of Time (VOT) assessment through utility maximizing theory and choice models are abundantly applied in transport literature. However, estimating VOT on congested network is not widely applied yet. To recognize the difference under normal and congested network, the current study focuses on VOT estimation for work trips in an extremely congested network.The focus of this research is to conduct a VOT estimation of the National Highway, Karachi. It connects Karachi city with Port Qasim Industrial area and the rest of the country. A large amount of freight transport to and from the port is also observed on this road. The National highway, being the only link to commute to this industrial area, is therefore under excessive traffic congestion.A stated preference (SP) survey was conducted at various industries located in this stretch. The respondents were asked about current travel practices and their (stated) preferences based on hypothetical -though realistic- travel attributes. A choice set of four alternative modes based on the currently used mode was presented to each individual. A Multinomial Logistics Regression (MNL) Model was developed for data analysis.As perceived, the results revealed a strong impact of travel time and travel cost on the (dis)utility of travel. These results can be utilized by policy makers to reduce congestion, monetary and time losses through efficient transport planning.|
|Notes: ||Baqueri, SFA (reprint author), Hasselt Univ, Transportat Res Inst IMOB, Hasselt, Belgium.
|ISI #: ||000387655000032|
|Type: ||Proceedings Paper|
|Validation: ||ecoom, 2017|
|Appears in Collections: ||Research publications|
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