Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/21506
Title: Estimating Incoming cross-border Trips through Land use data resources - A case of Karachi City
Authors: FAZAL ABBAS BAQUERI, Syed 
Do Lee, Won
KNAPEN, Luk 
BELLEMANS, Tom 
JANSSENS, Davy 
WETS, Geert 
Issue Date: 2016
Source: Procedia Computer Science 83, p. 270-277
Series/Report: Procedia Computer Science
Series/Report no.: 83
Abstract: A 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.
Keywords: cross-border trips; study area; land use parameters; travel demand models; open source data; Geographically Weighted Regression (GWR)
Document URI: http://hdl.handle.net/1942/21506
DOI: 10.1016/j.procs.2016.04.125
ISI #: 000387655000033
Rights: © 2016 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/). Peer-review under responsibility of the Conference Program Chairs
Category: C1
Type: Proceedings Paper
Validations: ecoom 2017
Appears in Collections:Research publications

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