Loading…

Assessing Urban Road Network Capacity considering Parking Supply and Parking Pricing

To enhance the assessment of the network capacity for a given urban road system, the effects of the parking management strategies at destination areas are supposed to be considered in the network capacity assessment model. This study provides an extended road network capacity model which takes into...

Full description

Saved in:
Bibliographic Details
Published in:Journal of advanced transportation 2020-10, Vol.2020 (2020), p.1-17
Main Authors: Jiang, Xiaowei, Liu, Haisheng, Du, Muqing
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c540t-5dcad37b92c1b1a3e35290579b7753999335ea9f67c70725c608e49cd1ab4f723
cites cdi_FETCH-LOGICAL-c540t-5dcad37b92c1b1a3e35290579b7753999335ea9f67c70725c608e49cd1ab4f723
container_end_page 17
container_issue 2020
container_start_page 1
container_title Journal of advanced transportation
container_volume 2020
creator Jiang, Xiaowei
Liu, Haisheng
Du, Muqing
description To enhance the assessment of the network capacity for a given urban road system, the effects of the parking management strategies at destination areas are supposed to be considered in the network capacity assessment model. This study provides an extended road network capacity model which takes into consideration both the parking supply and parking pricing at each traffic zone. The network capacity model is formulated as a bilevel programming problem, with the maximization of total trip generation in the upper level and the combined trip distribution and traffic assignment (CTDTA) problem in the lower level. To reasonably characterize the impacts of the parking pricing and parking delay due to the congestion effect, two classes of travel demand are involved in the CTDTA model. An efficient and practical algorithm is provided for the solution of the bilevel network capacity model. Numerical experiments show the advantages of the proposed model and also demonstrate the effect of the parking supply and parking pricing on the assessment results of the road network capacity.
doi_str_mv 10.1155/2020/8820680
format article
fullrecord <record><control><sourceid>gale_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_a2ba90f81277404e8a802bba8141911d</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A697017696</galeid><doaj_id>oai_doaj_org_article_a2ba90f81277404e8a802bba8141911d</doaj_id><sourcerecordid>A697017696</sourcerecordid><originalsourceid>FETCH-LOGICAL-c540t-5dcad37b92c1b1a3e35290579b7753999335ea9f67c70725c608e49cd1ab4f723</originalsourceid><addsrcrecordid>eNqFks1r3DAUxE1oINukt56LocfWiT4t6bgsaRsIbWiTs3iWZEebjeVKNmH_-8pxSHtYKDoMDL83EnpTFO8xOseY8wuCCLqQkqBaoqNiRRAjFcWKvylWCCtR1YKok-JtSluEqOKKrYrbdUouJd935V1soC9_BrDldzc-hfhQbmAA48d9aUKfvHVx5m4gPsz6axqG3b6E3r5aN9GbrGfFcQu75N696Glx9-XydvOtuv7x9Wqzvq4MZ2isuDVgqWgUMbjBQB3lRCEuVCMEp0opSrkD1dbCCCQINzWSjiljMTSsFYSeFldLrg2w1UP0jxD3OoDXz0aInYY4erNzGkgDCrUSEyEYYk6CRKRpQGKGFcY2Z31csoYYfk8ujXobptjn52vCuGRCUVZnqlqoDnKo79swRjCd612EXehd67O9rpVAWNRq5s8P8PlY9-jNwYHP_ww0U97M83qS7-7H1MGU0kHcxJBSdO3rL2Ck507ouRP6pRMZ_7Tg97638OT_R39YaJcZ18JfOl9OiKR_AJWrvP0</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2458479346</pqid></control><display><type>article</type><title>Assessing Urban Road Network Capacity considering Parking Supply and Parking Pricing</title><source>Open Access: Wiley-Blackwell Open Access Journals</source><source>ABI/INFORM Global</source><source>Publicly Available Content (ProQuest)</source><creator>Jiang, Xiaowei ; Liu, Haisheng ; Du, Muqing</creator><contributor>Xing, Zhao ; Zhao Xing</contributor><creatorcontrib>Jiang, Xiaowei ; Liu, Haisheng ; Du, Muqing ; Xing, Zhao ; Zhao Xing</creatorcontrib><description>To enhance the assessment of the network capacity for a given urban road system, the effects of the parking management strategies at destination areas are supposed to be considered in the network capacity assessment model. This study provides an extended road network capacity model which takes into consideration both the parking supply and parking pricing at each traffic zone. The network capacity model is formulated as a bilevel programming problem, with the maximization of total trip generation in the upper level and the combined trip distribution and traffic assignment (CTDTA) problem in the lower level. To reasonably characterize the impacts of the parking pricing and parking delay due to the congestion effect, two classes of travel demand are involved in the CTDTA model. An efficient and practical algorithm is provided for the solution of the bilevel network capacity model. Numerical experiments show the advantages of the proposed model and also demonstrate the effect of the parking supply and parking pricing on the assessment results of the road network capacity.</description><identifier>ISSN: 0197-6729</identifier><identifier>EISSN: 2042-3195</identifier><identifier>DOI: 10.1155/2020/8820680</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Publishing Corporation</publisher><subject>Algorithms ; Analysis ; Automobile drivers ; Commuting ; Equilibrium ; Iran ; Market penetration ; Parking ; Parking facilities ; Pricing ; Roads ; Strategic planning (Business) ; Traffic ; Traffic assignment ; Traffic capacity ; Traffic congestion ; Traffic control ; Traffic flow ; Transportation ; Transportation networks ; Travel ; Travel demand ; Trip generation</subject><ispartof>Journal of advanced transportation, 2020-10, Vol.2020 (2020), p.1-17</ispartof><rights>Copyright © 2020 Xiaowei Jiang et al.</rights><rights>COPYRIGHT 2020 John Wiley &amp; Sons, Inc.</rights><rights>Copyright © 2020 Xiaowei Jiang et al. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c540t-5dcad37b92c1b1a3e35290579b7753999335ea9f67c70725c608e49cd1ab4f723</citedby><cites>FETCH-LOGICAL-c540t-5dcad37b92c1b1a3e35290579b7753999335ea9f67c70725c608e49cd1ab4f723</cites><orcidid>0000-0001-9389-3685</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2458479346/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2458479346?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,11688,25753,27924,27925,36060,37012,44363,44590,74895,75126</link.rule.ids></links><search><contributor>Xing, Zhao</contributor><contributor>Zhao Xing</contributor><creatorcontrib>Jiang, Xiaowei</creatorcontrib><creatorcontrib>Liu, Haisheng</creatorcontrib><creatorcontrib>Du, Muqing</creatorcontrib><title>Assessing Urban Road Network Capacity considering Parking Supply and Parking Pricing</title><title>Journal of advanced transportation</title><description>To enhance the assessment of the network capacity for a given urban road system, the effects of the parking management strategies at destination areas are supposed to be considered in the network capacity assessment model. This study provides an extended road network capacity model which takes into consideration both the parking supply and parking pricing at each traffic zone. The network capacity model is formulated as a bilevel programming problem, with the maximization of total trip generation in the upper level and the combined trip distribution and traffic assignment (CTDTA) problem in the lower level. To reasonably characterize the impacts of the parking pricing and parking delay due to the congestion effect, two classes of travel demand are involved in the CTDTA model. An efficient and practical algorithm is provided for the solution of the bilevel network capacity model. Numerical experiments show the advantages of the proposed model and also demonstrate the effect of the parking supply and parking pricing on the assessment results of the road network capacity.</description><subject>Algorithms</subject><subject>Analysis</subject><subject>Automobile drivers</subject><subject>Commuting</subject><subject>Equilibrium</subject><subject>Iran</subject><subject>Market penetration</subject><subject>Parking</subject><subject>Parking facilities</subject><subject>Pricing</subject><subject>Roads</subject><subject>Strategic planning (Business)</subject><subject>Traffic</subject><subject>Traffic assignment</subject><subject>Traffic capacity</subject><subject>Traffic congestion</subject><subject>Traffic control</subject><subject>Traffic flow</subject><subject>Transportation</subject><subject>Transportation networks</subject><subject>Travel</subject><subject>Travel demand</subject><subject>Trip generation</subject><issn>0197-6729</issn><issn>2042-3195</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>M0C</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqFks1r3DAUxE1oINukt56LocfWiT4t6bgsaRsIbWiTs3iWZEebjeVKNmH_-8pxSHtYKDoMDL83EnpTFO8xOseY8wuCCLqQkqBaoqNiRRAjFcWKvylWCCtR1YKok-JtSluEqOKKrYrbdUouJd935V1soC9_BrDldzc-hfhQbmAA48d9aUKfvHVx5m4gPsz6axqG3b6E3r5aN9GbrGfFcQu75N696Glx9-XydvOtuv7x9Wqzvq4MZ2isuDVgqWgUMbjBQB3lRCEuVCMEp0opSrkD1dbCCCQINzWSjiljMTSsFYSeFldLrg2w1UP0jxD3OoDXz0aInYY4erNzGkgDCrUSEyEYYk6CRKRpQGKGFcY2Z31csoYYfk8ujXobptjn52vCuGRCUVZnqlqoDnKo79swRjCd612EXehd67O9rpVAWNRq5s8P8PlY9-jNwYHP_ww0U97M83qS7-7H1MGU0kHcxJBSdO3rL2Ck507ouRP6pRMZ_7Tg97638OT_R39YaJcZ18JfOl9OiKR_AJWrvP0</recordid><startdate>20201029</startdate><enddate>20201029</enddate><creator>Jiang, Xiaowei</creator><creator>Liu, Haisheng</creator><creator>Du, Muqing</creator><general>Hindawi Publishing Corporation</general><general>Hindawi</general><general>John Wiley &amp; Sons, Inc</general><general>Hindawi Limited</general><general>Hindawi-Wiley</general><scope>ADJCN</scope><scope>AHFXO</scope><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>N95</scope><scope>XI7</scope><scope>3V.</scope><scope>7ST</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FL</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FRNLG</scope><scope>F~G</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>KR7</scope><scope>L.-</scope><scope>L6V</scope><scope>M0C</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>Q9U</scope><scope>SOI</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-9389-3685</orcidid></search><sort><creationdate>20201029</creationdate><title>Assessing Urban Road Network Capacity considering Parking Supply and Parking Pricing</title><author>Jiang, Xiaowei ; Liu, Haisheng ; Du, Muqing</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c540t-5dcad37b92c1b1a3e35290579b7753999335ea9f67c70725c608e49cd1ab4f723</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Algorithms</topic><topic>Analysis</topic><topic>Automobile drivers</topic><topic>Commuting</topic><topic>Equilibrium</topic><topic>Iran</topic><topic>Market penetration</topic><topic>Parking</topic><topic>Parking facilities</topic><topic>Pricing</topic><topic>Roads</topic><topic>Strategic planning (Business)</topic><topic>Traffic</topic><topic>Traffic assignment</topic><topic>Traffic capacity</topic><topic>Traffic congestion</topic><topic>Traffic control</topic><topic>Traffic flow</topic><topic>Transportation</topic><topic>Transportation networks</topic><topic>Travel</topic><topic>Travel demand</topic><topic>Trip generation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jiang, Xiaowei</creatorcontrib><creatorcontrib>Liu, Haisheng</creatorcontrib><creatorcontrib>Du, Muqing</creatorcontrib><collection>الدوريات العلمية والإحصائية - e-Marefa Academic and Statistical Periodicals</collection><collection>معرفة - المحتوى العربي الأكاديمي المتكامل - e-Marefa Academic Complete</collection><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access</collection><collection>CrossRef</collection><collection>Gale Business: Insights</collection><collection>Business Insights: Essentials</collection><collection>ProQuest Central (Corporate)</collection><collection>Environment Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Civil Engineering Abstracts</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ProQuest Engineering Collection</collection><collection>ABI/INFORM Global</collection><collection>Engineering Database</collection><collection>ProQuest advanced technologies &amp; aerospace journals</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Publicly Available Content (ProQuest)</collection><collection>One Business (ProQuest)</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Journal of advanced transportation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jiang, Xiaowei</au><au>Liu, Haisheng</au><au>Du, Muqing</au><au>Xing, Zhao</au><au>Zhao Xing</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessing Urban Road Network Capacity considering Parking Supply and Parking Pricing</atitle><jtitle>Journal of advanced transportation</jtitle><date>2020-10-29</date><risdate>2020</risdate><volume>2020</volume><issue>2020</issue><spage>1</spage><epage>17</epage><pages>1-17</pages><issn>0197-6729</issn><eissn>2042-3195</eissn><abstract>To enhance the assessment of the network capacity for a given urban road system, the effects of the parking management strategies at destination areas are supposed to be considered in the network capacity assessment model. This study provides an extended road network capacity model which takes into consideration both the parking supply and parking pricing at each traffic zone. The network capacity model is formulated as a bilevel programming problem, with the maximization of total trip generation in the upper level and the combined trip distribution and traffic assignment (CTDTA) problem in the lower level. To reasonably characterize the impacts of the parking pricing and parking delay due to the congestion effect, two classes of travel demand are involved in the CTDTA model. An efficient and practical algorithm is provided for the solution of the bilevel network capacity model. Numerical experiments show the advantages of the proposed model and also demonstrate the effect of the parking supply and parking pricing on the assessment results of the road network capacity.</abstract><cop>Cairo, Egypt</cop><pub>Hindawi Publishing Corporation</pub><doi>10.1155/2020/8820680</doi><tpages>17</tpages><orcidid>https://orcid.org/0000-0001-9389-3685</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0197-6729
ispartof Journal of advanced transportation, 2020-10, Vol.2020 (2020), p.1-17
issn 0197-6729
2042-3195
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_a2ba90f81277404e8a802bba8141911d
source Open Access: Wiley-Blackwell Open Access Journals; ABI/INFORM Global; Publicly Available Content (ProQuest)
subjects Algorithms
Analysis
Automobile drivers
Commuting
Equilibrium
Iran
Market penetration
Parking
Parking facilities
Pricing
Roads
Strategic planning (Business)
Traffic
Traffic assignment
Traffic capacity
Traffic congestion
Traffic control
Traffic flow
Transportation
Transportation networks
Travel
Travel demand
Trip generation
title Assessing Urban Road Network Capacity considering Parking Supply and Parking Pricing
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T01%3A50%3A54IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Assessing%20Urban%20Road%20Network%20Capacity%20considering%20Parking%20Supply%20and%20Parking%20Pricing&rft.jtitle=Journal%20of%20advanced%20transportation&rft.au=Jiang,%20Xiaowei&rft.date=2020-10-29&rft.volume=2020&rft.issue=2020&rft.spage=1&rft.epage=17&rft.pages=1-17&rft.issn=0197-6729&rft.eissn=2042-3195&rft_id=info:doi/10.1155/2020/8820680&rft_dat=%3Cgale_doaj_%3EA697017696%3C/gale_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c540t-5dcad37b92c1b1a3e35290579b7753999335ea9f67c70725c608e49cd1ab4f723%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2458479346&rft_id=info:pmid/&rft_galeid=A697017696&rfr_iscdi=true