Mapping the Spatial Distribution Patterns of Personal Time Spent Based on Trip Purpose

Int. J. Appl. Geospat. Res. Pub Date : 2018-04-01 DOI:10.4018/IJAGR.2018040101

K. Lwin, Y. Sekimoto

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引用次数: 5

Abstract

Understandingthespatialdistributionpatternsofthetimespentbypeoplebasedontheirtrippurpose andothersocialcharacteristicsisimportantforsustainableurbantransportplanning,publicfacility management,socio-economicdevelopment,andothertypesofpolicyplanning.Althoughpersonal tripsurveydataincludestravelbehaviorandothersocialcharacteristics,manyarelackingindetail regardingthespatialdistributionpatternsofindividualmovementsbasedontimespent,typically duetoprivacyissuesanddifficultiesinconvertingnon-spatialsurveydataintoaspatialformat.In thisarticle,geospatially-enabledpersonaltripdata(GeospatialBigData),convertedfromtraditional paper-basedsurveydata,aresubjectedtoaspatialdataminingprocessinordertoexaminethedetailed spatialdistributionpatternsoftimespentbythepublicbasedonvarioustrippurposesandothersocial characteristics,usingtheTokyometropolitanareaasacasestudy. KeywoRDS Geospatial Big Data, Geospatially-Enabled Personal Trip Data, Spatial Distribution Patterns, Time Spent, Trip Purposes

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基于出行目的的个人出行时间空间分布格局

Understandingthespatialdistributionpatternsofthetimespentbypeoplebasedontheirtrippurpose andothersocialcharacteristicsisimportantforsustainableurbantransportplanning，publicfacility管理，socio-economicdevelopment，andothertypesofpolicyplanning。Althoughpersonal tripsurveydataincludestravelbehaviorandothersocialcharacteristics，manyarelackingindetail regardingthespatialdistributionpatternsofindividualmovementsbasedontimespent，typically duetoprivacyissuesanddifficultiesinconvertingnon-spatialsurveydataintoaspatialformat。In thisarticle、geospatially-enabledpersonaltripdata(GeospatialBigData)、convertedfromtraditional paper-basedsurveydata、aresubjectedtoaspatialdataminingprocessinordertoexaminethedetailed spatialdistributionpatternsoftimespentbythepublicbasedonvarioustrippurposesandothersocial特征、usingtheTokyometropolitanareaasacasestudy。关键词地理空间大数据，地理空间支持的个人出行数据，空间分布模式，花费时间，出行目的

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Int. J. Appl. Geospat. Res.

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