Heterogeneous Parking Market Subject to Parking Rationing

Different types of drivers and parking spaces delineate a heterogeneous parking market for which the literature has yet to provide a model applicable to the real world. The main obstacle is computational complexities of considering various parking restrictions along with traffic congestion on the ro...

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Vydáno v:Mathematical problems in engineering Ročník 2015; číslo 2015; s. 1 - 13
Hlavní autoři: Asadi Bagloee, Saeed, Asadi, Mohsen
Médium: Journal Article
Jazyk:angličtina
Vydáno: Cairo, Egypt Hindawi Publishing Corporation 01.01.2015
John Wiley & Sons, Inc
Témata:
Algorithms
Constraints
Heterogeneity
Markets
Mathematical models
Mathematical programming
Obstacles
Parking
Reserves
Roads
Shadows
Traffic assignment
Traffic congestion
Utility functions
Abu Dhabi United Arab Emirates
United Arab Emirates
ISSN:1024-123X, 1563-5147
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Abstract Different types of drivers and parking spaces delineate a heterogeneous parking market for which the literature has yet to provide a model applicable to the real world. The main obstacle is computational complexities of considering various parking restrictions along with traffic congestion on the road network. In this study, the heterogeneity aspects are considered within a Logit parking choice model. A mathematical programming problem was introduced to explicitly consider parking capacities and parking rationing constraints. The parking rationing is defined as any arrangement to reserve parking space for some specific demand such as parking permit, private parking, VIP parking, and different parking durations. Introduction of parking rationing in the presence of other constraints is a unique factor in this study which makes the model more realistic. The algorithm was tested on a central business district case study. The results prove that the algorithm is able to converge rapidly. Among the algorithm’s output are shadow prices of the parking capacity and parking rationing constraints. The shadow prices contain important information which is key to addressing a variety of parking issues, such as the location of parking shortages, identification of fair parking charges, viability of parking permits, and the size of reserved parking.
AbstractList Different types of drivers and parking spaces delineate a heterogeneous parking market for which the literature has yet to provide a model applicable to the real world. The main obstacle is computational complexities of considering various parking restrictions along with traffic congestion on the road network. In this study, the heterogeneity aspects are considered within a Logit parking choice model. A mathematical programming problem was introduced to explicitly consider parking capacities and parking rationing constraints. The parking rationing is defined as any arrangement to reserve parking space for some specific demand such as parking permit, private parking, VIP parking, and different parking durations. Introduction of parking rationing in the presence of other constraints is a unique factor in this study which makes the model more realistic. The algorithm was tested on a central business district case study. The results prove that the algorithm is able to converge rapidly. Among the algorithm’s output are shadow prices of the parking capacity and parking rationing constraints. The shadow prices contain important information which is key to addressing a variety of parking issues, such as the location of parking shortages, identification of fair parking charges, viability of parking permits, and the size of reserved parking.
Author Asadi Bagloee, Saeed
Asadi, Mohsen
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ContentType Journal Article
Copyright Copyright © 2015 Saeed Asadi Bagloee and Mohsen Asadi.
Copyright © 2015 Saeed Asadi Bagloee and Mohsen Asadi. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright_xml – notice: Copyright © 2015 Saeed Asadi Bagloee and Mohsen Asadi.
– notice: Copyright © 2015 Saeed Asadi Bagloee and Mohsen Asadi. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Snippet Different types of drivers and parking spaces delineate a heterogeneous parking market for which the literature has yet to provide a model applicable to the...
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SubjectTerms Algorithms
Constraints
Heterogeneity
Markets
Mathematical models
Mathematical programming
Obstacles
Parking
Reserves
Roads
Shadows
Traffic assignment
Traffic congestion
Utility functions
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Title Heterogeneous Parking Market Subject to Parking Rationing
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