基于效率的城市交通结构优化-研究——以北京为例

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1、万方数据AbstractChina'srapidurbanizationandresidents’economicactivityincreasingleadtoarapidgrowthoftrafficdemandinrecentyears．Inthemeantime，economydevelopmentandtraveldistanceincreasingcausethemotorizationofurbantrafficstructure·Thesetwothingsresultinpoorurbant

2、rafficoperationefficiency，andirrationalurbantr甜ficstnlc眦intensifiestheconflictbetweensupplyanddemand。Therearetwodifferentdevelopmentmodes．oneispersonaltransportsdominantmode，theotherispublictransportsdominantmode．Sothatthestudyonourcountry’Ssuitabledevelopm

3、entdirectionofurbantrafficstructurebecomesparticularlyurgent．Firstlythispaperintroducestheconnotationandinfluencingfactorsofurbantrafficstructureandoperatingefficiency,andproposesavirtuouscyclebetweenthemtofindfootholdofurbantrafficstructureoptimizationthro

4、ughin-depthanalysisoftheirrelationship．Secondly,thispaperestablishesindexsystemincludingtransportationinfrastructureconfigurationandtransportownershipandusage，andevaluatesurbantrafficoperationefficiencyusingentropy．-fuzzycomprehensiveevaluationmethod．Thirdl

5、y,thispaperbuildsmulti．objectivelinearprogrammingmodelforurbantrafficstructureoptimizationinordertoseekthebesturbantrafficoperatingefficiency,theobjectivefunctionsiSsetfromtheperspectivesoftravelers，managersandsociety,andtheconstraintsaretraveldemand，thecap

6、acityofroadnetwork，constructionfunds，traveltime，energyconsumption，environmentalcapacity,anddevelopmentscale．Finally,takingBeijingcentercity，Strafficstructureasanexample，afteroptimizationthegroundpublictransitandsubwaysharemorethan60％ofdaytripsin2020．Efficie

7、ncyevaluationresultshowsasignificantimprovementinsuchurbantrafficstructure，andthedevelopmentofpublictransportsystemisaneffectivewaytorelieveurbantrafficproblems．keywords：urbantrafficstructure；efficiency；entropy-fuzzycomprehensiveevaluation；multi．．objectivel

8、inearprogrammingmodel；DataEnvelopmentAnalysis．万方数据西南交通大学硕士研究生学位论文第

9、fI页目录第1章绪论⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．．11．1研究背景及意义．．．⋯⋯⋯⋯．．．．⋯．．⋯⋯⋯⋯⋯⋯⋯⋯11．2国内外研究现状⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯21．2．1关于城市交通结构的国内外研究现状⋯⋯⋯⋯⋯⋯⋯⋯⋯2