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Article: Exploratory calibration of a spatial interaction model using taxi GPS trajectories

TitleExploratory calibration of a spatial interaction model using taxi GPS trajectories
Authors
KeywordsGPS data
Model calibration
Spatial interaction model
Trading area analysis
Trajectory analysis
Issue Date2012
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/ceus
Citation
Computers, Environment And Urban Systems, 2012, v. 36 n. 2, p. 140-153 How to Cite?
AbstractModel calibration is the cornerstone of spatial interaction models in many geographic, transportation and marketing analysis. Conventional questionnaire approaches that collect data for model calibration are both labor-intensive and time-consuming, and generally show a poor response rate. This study takes advantage of increasingly available vehicle GPS trajectory data to conduct spatial interaction model calibration. A Huff model for retail trading area analysis was used as an example. Model calibration and parameter validation were conducted based on over 63,000 taxi GPS trajectories for seven major shopping centers in Wuhan, a large city in China. The results were positive and in general showed satisfactory descriptive and predictive capability. This study demonstrated the feasibility of using the emerging technology to calibrate spatial interaction models (and also showed the potential for use in other related studies). The main advantage of using these new data sources is that they allow efficient use of increasingly available positioning data, which is easier to collect than conventional customer surveys, and usually with larger data sizes. It also allows inferences to be made about distance-decay rates based on accurate computation of travel time and distance. This could save both time and expense in many related areas of research, while achieving high quality model calibration results. © 2011 Elsevier Ltd.
Persistent Identifierhttp://hdl.handle.net/10722/166092
ISSN
2014 Impact Factor: 1.537
2014 SCImago Journal Rankings: 0.874
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorYue, Yen_HK
dc.contributor.authorWang, HDen_HK
dc.contributor.authorHu, Ben_HK
dc.contributor.authorLi, QQen_HK
dc.contributor.authorLi, YGen_HK
dc.contributor.authorYeh, AGOen_HK
dc.date.accessioned2012-09-20T08:28:13Z-
dc.date.available2012-09-20T08:28:13Z-
dc.date.issued2012en_HK
dc.identifier.citationComputers, Environment And Urban Systems, 2012, v. 36 n. 2, p. 140-153en_HK
dc.identifier.issn0198-9715en_HK
dc.identifier.urihttp://hdl.handle.net/10722/166092-
dc.description.abstractModel calibration is the cornerstone of spatial interaction models in many geographic, transportation and marketing analysis. Conventional questionnaire approaches that collect data for model calibration are both labor-intensive and time-consuming, and generally show a poor response rate. This study takes advantage of increasingly available vehicle GPS trajectory data to conduct spatial interaction model calibration. A Huff model for retail trading area analysis was used as an example. Model calibration and parameter validation were conducted based on over 63,000 taxi GPS trajectories for seven major shopping centers in Wuhan, a large city in China. The results were positive and in general showed satisfactory descriptive and predictive capability. This study demonstrated the feasibility of using the emerging technology to calibrate spatial interaction models (and also showed the potential for use in other related studies). The main advantage of using these new data sources is that they allow efficient use of increasingly available positioning data, which is easier to collect than conventional customer surveys, and usually with larger data sizes. It also allows inferences to be made about distance-decay rates based on accurate computation of travel time and distance. This could save both time and expense in many related areas of research, while achieving high quality model calibration results. © 2011 Elsevier Ltd.en_HK
dc.languageengen_US
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/ceusen_HK
dc.relation.ispartofComputers, Environment and Urban Systemsen_HK
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication in <Journal title>. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in PUBLICATION, [VOL#, ISSUE#, (DATE)] DOI#en_US
dc.subjectGPS dataen_HK
dc.subjectModel calibrationen_HK
dc.subjectSpatial interaction modelen_HK
dc.subjectTrading area analysisen_HK
dc.subjectTrajectory analysisen_HK
dc.titleExploratory calibration of a spatial interaction model using taxi GPS trajectoriesen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0198-9715&volume=36&issue=2&spage=140&epage=153&date=2012&atitle=Exploratory+Calibration+of+a+Spatial+Interaction+Model+Using+Taxi+GPS+Trajectoriesen_US
dc.identifier.emailYeh, AGO: hdxugoy@hkucc.hku.hken_HK
dc.identifier.authorityYeh, AGO=rp01033en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.compenvurbsys.2011.09.002en_HK
dc.identifier.scopuseid_2-s2.0-84858026248en_HK
dc.identifier.hkuros210512en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-84858026248&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume36en_HK
dc.identifier.issue2en_HK
dc.identifier.spage140en_HK
dc.identifier.epage153en_HK
dc.identifier.isiWOS:000302488500005-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridYue, Y=35303739000en_HK
dc.identifier.scopusauthoridWang, HD=55080945300en_HK
dc.identifier.scopusauthoridHu, B=35728631700en_HK
dc.identifier.scopusauthoridLi, QQ=55080985900en_HK
dc.identifier.scopusauthoridLi, YG=55080891200en_HK
dc.identifier.scopusauthoridYeh, AGO=7103069369en_HK
dc.identifier.citeulike9999074-

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