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- Publisher Website: 10.1016/j.compenvurbsys.2011.09.002
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Article: Exploratory calibration of a spatial interaction model using taxi GPS trajectories
Title | Exploratory calibration of a spatial interaction model using taxi GPS trajectories |
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Authors | |
Keywords | GPS data Model calibration Spatial interaction model Trading area analysis Trajectory analysis |
Issue Date | 2012 |
Publisher | Pergamon. 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? |
Abstract | Model 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 Identifier | http://hdl.handle.net/10722/166092 |
ISSN | 2023 Impact Factor: 7.1 2023 SCImago Journal Rankings: 1.861 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
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dc.contributor.author | Yue, Y | en_HK |
dc.contributor.author | Wang, HD | en_HK |
dc.contributor.author | Hu, B | en_HK |
dc.contributor.author | Li, QQ | en_HK |
dc.contributor.author | Li, YG | en_HK |
dc.contributor.author | Yeh, AGO | en_HK |
dc.date.accessioned | 2012-09-20T08:28:13Z | - |
dc.date.available | 2012-09-20T08:28:13Z | - |
dc.date.issued | 2012 | en_HK |
dc.identifier.citation | Computers, Environment And Urban Systems, 2012, v. 36 n. 2, p. 140-153 | en_HK |
dc.identifier.issn | 0198-9715 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/166092 | - |
dc.description.abstract | Model 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.language | eng | en_US |
dc.publisher | Pergamon. The Journal's web site is located at http://www.elsevier.com/locate/ceus | en_HK |
dc.relation.ispartof | Computers, Environment and Urban Systems | en_HK |
dc.rights | NOTICE: 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.subject | GPS data | en_HK |
dc.subject | Model calibration | en_HK |
dc.subject | Spatial interaction model | en_HK |
dc.subject | Trading area analysis | en_HK |
dc.subject | Trajectory analysis | en_HK |
dc.title | Exploratory calibration of a spatial interaction model using taxi GPS trajectories | en_HK |
dc.type | Article | en_HK |
dc.identifier.openurl | http://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+Trajectories | en_US |
dc.identifier.email | Yeh, AGO: hdxugoy@hkucc.hku.hk | en_HK |
dc.identifier.authority | Yeh, AGO=rp01033 | en_HK |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.compenvurbsys.2011.09.002 | en_HK |
dc.identifier.scopus | eid_2-s2.0-84858026248 | en_HK |
dc.identifier.hkuros | 210512 | en_US |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-84858026248&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 36 | en_HK |
dc.identifier.issue | 2 | en_HK |
dc.identifier.spage | 140 | en_HK |
dc.identifier.epage | 153 | en_HK |
dc.identifier.isi | WOS:000302488500005 | - |
dc.publisher.place | United Kingdom | en_HK |
dc.identifier.scopusauthorid | Yue, Y=35303739000 | en_HK |
dc.identifier.scopusauthorid | Wang, HD=55080945300 | en_HK |
dc.identifier.scopusauthorid | Hu, B=35728631700 | en_HK |
dc.identifier.scopusauthorid | Li, QQ=55080985900 | en_HK |
dc.identifier.scopusauthorid | Li, YG=55080891200 | en_HK |
dc.identifier.scopusauthorid | Yeh, AGO=7103069369 | en_HK |
dc.identifier.citeulike | 9999074 | - |
dc.identifier.issnl | 0198-9715 | - |