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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...
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Published in: | Journal of advanced transportation 2020-10, Vol.2020 (2020), p.1-17 |
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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 |
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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 & Sons, Inc.</rights><rights>Copyright © 2020 Xiaowei Jiang et al. 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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. 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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 & 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 - 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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 |
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