Research on the influence of parking charging strategy based on multi-level extension theory of group decision making

Research on the influence of parking charging strategy based on multi-level extension theory of group decision making

Based on analysis of the impact of the experience of parking policy at home and abroad, design the impact analysis process of parking strategy. First, using group decision theory to create a parking strategy index system and calculate its weight. Index system includes government, parking operators a...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Cheng, Fen, Hu, Wanxin
Format: Tagungsbericht
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 1
container_start_page
container_title
container_volume 1839
creator Cheng, Fen
Hu, Wanxin
description Based on analysis of the impact of the experience of parking policy at home and abroad, design the impact analysis process of parking strategy. First, using group decision theory to create a parking strategy index system and calculate its weight. Index system includes government, parking operators and travelers. Then, use a multi-level extension theory to analyze the CBD parking strategy. Assess the parking strategy by calculating the correlation of each indicator. Finally, assess the strategy of parking charges through a case. Provide a scientific and reasonable basis for assessing parking strategy. The results showed that the model can effectively analyze multi-target, multi-property parking policy evaluation.
doi_str_mv 10.1063/1.4982496
format Conference Proceeding
fullrecord <record><control><sourceid>scitation</sourceid><recordid>TN_cdi_scitation_primary_10_1063_1_4982496</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>acp</sourcerecordid><originalsourceid>FETCH-LOGICAL-s260t-90f2ca4c16f1f51a2a72823f8453e993429897fbd53532239a75ad837c3f90e23</originalsourceid><addsrcrecordid>eNp9kEtLxDAUhYMoOI4u_AdZC9W82jRLGXzBgCAK7sqd9KYT7bQlSQfn32udAXeuzoVzzsflEHLJ2TVnhbzh18qUQpniiMx4nvNMF7w4JjPGjMqEku-n5CzGD8aE0bqckfEFI0Kwa9p3NK2R-s61I3YWae_oAOHTdw21awjNdMQUIGGzoyuIWE-dzdgmn7W4xZbiV8Iu-j2pD7sJ0YR-HGiN1v8aG5iA5-TEQRvx4qBz8nZ_97p4zJbPD0-L22UWRcFSZpgTFpTlheMu5yBAi1JIV6pcojFSCVMa7VZ1LnMphDSgc6hLqa10hqGQc3K150brE6SfB6oh-A2EXbXtQ8Wrw1jVULv_wpxV07p_BfkNk2Zt4g</addsrcrecordid><sourcetype>Enrichment Source</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Research on the influence of parking charging strategy based on multi-level extension theory of group decision making</title><source>AIP Journals Complete</source><creator>Cheng, Fen ; Hu, Wanxin</creator><contributor>Xiao, Jun ; You, Zhibin ; Tan, Zhihui</contributor><creatorcontrib>Cheng, Fen ; Hu, Wanxin ; Xiao, Jun ; You, Zhibin ; Tan, Zhihui</creatorcontrib><description>Based on analysis of the impact of the experience of parking policy at home and abroad, design the impact analysis process of parking strategy. First, using group decision theory to create a parking strategy index system and calculate its weight. Index system includes government, parking operators and travelers. Then, use a multi-level extension theory to analyze the CBD parking strategy. Assess the parking strategy by calculating the correlation of each indicator. Finally, assess the strategy of parking charges through a case. Provide a scientific and reasonable basis for assessing parking strategy. The results showed that the model can effectively analyze multi-target, multi-property parking policy evaluation.</description><identifier>ISSN: 0094-243X</identifier><identifier>EISSN: 1551-7616</identifier><identifier>DOI: 10.1063/1.4982496</identifier><identifier>CODEN: APCPCS</identifier><language>eng</language><ispartof>AIP conference proceedings, 2017, Vol.1839 (1)</ispartof><rights>Author(s)</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://pubs.aip.org/acp/article-lookup/doi/10.1063/1.4982496$$EHTML$$P50$$Gscitation$$H</linktohtml><link.rule.ids>314,776,780,790,4498,27901,27902,76127</link.rule.ids></links><search><contributor>Xiao, Jun</contributor><contributor>You, Zhibin</contributor><contributor>Tan, Zhihui</contributor><creatorcontrib>Cheng, Fen</creatorcontrib><creatorcontrib>Hu, Wanxin</creatorcontrib><title>Research on the influence of parking charging strategy based on multi-level extension theory of group decision making</title><title>AIP conference proceedings</title><description>Based on analysis of the impact of the experience of parking policy at home and abroad, design the impact analysis process of parking strategy. First, using group decision theory to create a parking strategy index system and calculate its weight. Index system includes government, parking operators and travelers. Then, use a multi-level extension theory to analyze the CBD parking strategy. Assess the parking strategy by calculating the correlation of each indicator. Finally, assess the strategy of parking charges through a case. Provide a scientific and reasonable basis for assessing parking strategy. The results showed that the model can effectively analyze multi-target, multi-property parking policy evaluation.</description><issn>0094-243X</issn><issn>1551-7616</issn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2017</creationdate><recordtype>conference_proceeding</recordtype><sourceid/><recordid>eNp9kEtLxDAUhYMoOI4u_AdZC9W82jRLGXzBgCAK7sqd9KYT7bQlSQfn32udAXeuzoVzzsflEHLJ2TVnhbzh18qUQpniiMx4nvNMF7w4JjPGjMqEku-n5CzGD8aE0bqckfEFI0Kwa9p3NK2R-s61I3YWae_oAOHTdw21awjNdMQUIGGzoyuIWE-dzdgmn7W4xZbiV8Iu-j2pD7sJ0YR-HGiN1v8aG5iA5-TEQRvx4qBz8nZ_97p4zJbPD0-L22UWRcFSZpgTFpTlheMu5yBAi1JIV6pcojFSCVMa7VZ1LnMphDSgc6hLqa10hqGQc3K150brE6SfB6oh-A2EXbXtQ8Wrw1jVULv_wpxV07p_BfkNk2Zt4g</recordid><startdate>20170508</startdate><enddate>20170508</enddate><creator>Cheng, Fen</creator><creator>Hu, Wanxin</creator><scope/></search><sort><creationdate>20170508</creationdate><title>Research on the influence of parking charging strategy based on multi-level extension theory of group decision making</title><author>Cheng, Fen ; Hu, Wanxin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-s260t-90f2ca4c16f1f51a2a72823f8453e993429897fbd53532239a75ad837c3f90e23</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2017</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cheng, Fen</creatorcontrib><creatorcontrib>Hu, Wanxin</creatorcontrib></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cheng, Fen</au><au>Hu, Wanxin</au><au>Xiao, Jun</au><au>You, Zhibin</au><au>Tan, Zhihui</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Research on the influence of parking charging strategy based on multi-level extension theory of group decision making</atitle><btitle>AIP conference proceedings</btitle><date>2017-05-08</date><risdate>2017</risdate><volume>1839</volume><issue>1</issue><issn>0094-243X</issn><eissn>1551-7616</eissn><coden>APCPCS</coden><abstract>Based on analysis of the impact of the experience of parking policy at home and abroad, design the impact analysis process of parking strategy. First, using group decision theory to create a parking strategy index system and calculate its weight. Index system includes government, parking operators and travelers. Then, use a multi-level extension theory to analyze the CBD parking strategy. Assess the parking strategy by calculating the correlation of each indicator. Finally, assess the strategy of parking charges through a case. Provide a scientific and reasonable basis for assessing parking strategy. The results showed that the model can effectively analyze multi-target, multi-property parking policy evaluation.</abstract><doi>10.1063/1.4982496</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0094-243X
ispartof AIP conference proceedings, 2017, Vol.1839 (1)
issn 0094-243X
1551-7616
language eng
recordid cdi_scitation_primary_10_1063_1_4982496
source AIP Journals Complete
title Research on the influence of parking charging strategy based on multi-level extension theory of group decision making
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-31T09%3A00%3A48IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-scitation&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Research%20on%20the%20influence%20of%20parking%20charging%20strategy%20based%20on%20multi-level%20extension%20theory%20of%20group%20decision%20making&rft.btitle=AIP%20conference%20proceedings&rft.au=Cheng,%20Fen&rft.date=2017-05-08&rft.volume=1839&rft.issue=1&rft.issn=0094-243X&rft.eissn=1551-7616&rft.coden=APCPCS&rft_id=info:doi/10.1063/1.4982496&rft_dat=%3Cscitation%3Eacp%3C/scitation%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true