Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/21506
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dc.contributor.authorFAZAL ABBAS BAQUERI, Syed-
dc.contributor.authorDo Lee, Won-
dc.contributor.authorKNAPEN, Luk-
dc.contributor.authorBELLEMANS, Tom-
dc.contributor.authorJANSSENS, Davy-
dc.contributor.authorWETS, Geert-
dc.date.accessioned2016-06-10T12:57:59Z-
dc.date.available2016-06-10T12:57:59Z-
dc.date.issued2016-
dc.identifier.citationShakshuki, Elhadi (Ed.). The 7th International Conference on Ambient Systems, Networks and Technologies (ANT 2016) / The 6th International Conference on Sustainable Energy Information Technology (SEIT-2016) / Affiliated Workshops, Elsevier Science BV, p. 270-277-
dc.identifier.issn1877-0509-
dc.identifier.urihttp://hdl.handle.net/1942/21506-
dc.description.abstractA multitude of studies have been motivated on the association between land use, urban settings and transport infrastructure to assist policy makers in sustainable planning. Alike, incorporation of cross-border trips have been an integral part of transportation demand models through external surveys. The present study seeks to explore the Incoming Cross Border Traffic (ICBT) into a study area based on the characteristics of a study area that attracts cross-border trips from outside region. This paper presents an analysis of cross-border trips in Karachi Metropolis, largest city of Pakistan, through Household Individual Survey (HIS-2010) and land use data from alternative resources. Results reveal that land use particulars, socioeconomic characteristics and travel attributes of individuals significantly influences cross-border trips and this effect varies spatially. Work, shopping and Education trips are discussed through separate models in this paper with a number of practical insights to policy makers for sustainable development of city. This study contribute in elucidating travel behaviour through land use parameters and also persuade professionals to integrate estimation of cross-border trips by socioeconomic parameters, in transport forecasting models.-
dc.description.sponsorshipThe authors are thankful to Japan International Cooperation Agency (JICA) for providing 'Karachi Transportation Improvement Project (KTIP) - 2030' dataset. The authors are also obliged to Tomoki Nakaya and Stewart Fotheringham of the GeoDa Center, School of Geographical Sciences and urban Planning at the Arizona State University for GWR software package and manual.-
dc.language.isoen-
dc.publisherElsevier Science BV-
dc.relation.ispartofseriesProcedia Computer Science-
dc.rights2016 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).-
dc.subject.otherCross-border trips-
dc.subject.otherstudy area-
dc.subject.otherland use parameters-
dc.subject.othertravel demand models-
dc.subject.otherOpen source data-
dc.subject.otherGeographically Weighted Regression (GWR)-
dc.titleEstimating Incoming cross-border Trips through Land use data resources - A case of Karachi City-
dc.typeProceedings Paper-
local.bibliographicCitation.authorsShakshuki, Elhadi-
local.bibliographicCitation.conferencedate23-26 May 2016-
local.bibliographicCitation.conferencenameThe 7th International Conference on Ambient Systems, Networks and Technologies (ANT-2016)-
local.bibliographicCitation.conferenceplaceMadrid, Spain-
dc.identifier.epage277-
dc.identifier.spage270-
dc.identifier.volume83-
local.format.pages8-
local.bibliographicCitation.jcatC1-
local.publisher.placeSARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
local.relation.ispartofseriesnr83-
dc.identifier.doi10.1016/j.procs.2016.04.125-
dc.identifier.isi000387655000033-
local.bibliographicCitation.btitleThe 7th International Conference on Ambient Systems, Networks and Technologies (ANT 2016) / The 6th International Conference on Sustainable Energy Information Technology (SEIT-2016) / Affiliated Workshops-
local.uhasselt.internationalyes-
item.validationecoom 2017-
item.contributorFAZAL ABBAS BAQUERI, Syed-
item.contributorDo Lee, Won-
item.contributorKNAPEN, Luk-
item.contributorBELLEMANS, Tom-
item.contributorJANSSENS, Davy-
item.contributorWETS, Geert-
item.fullcitationFAZAL ABBAS BAQUERI, Syed; Do Lee, Won; KNAPEN, Luk; BELLEMANS, Tom; JANSSENS, Davy & WETS, Geert (2016) Estimating Incoming cross-border Trips through Land use data resources - A case of Karachi City. In: Shakshuki, Elhadi (Ed.). The 7th International Conference on Ambient Systems, Networks and Technologies (ANT 2016) / The 6th International Conference on Sustainable Energy Information Technology (SEIT-2016) / Affiliated Workshops, Elsevier Science BV, p. 270-277.-
item.fulltextWith Fulltext-
item.accessRightsOpen Access-
crisitem.journal.issn1877-0509-
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