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dc.contributor.editor Pasindu, HR
dc.date.accessioned 2022-09-12T09:41:57Z
dc.date.available 2022-09-12T09:41:57Z
dc.date.issued 2011-07
dc.identifier.citation ....********....... en_US
dc.identifier.uri http://dl.lib.uom.lk/handle/123/19045
dc.description.abstract Walking from origins to transit stops, transferring between transit lines and walking from transit stops to destinations—all add to the burden of transit travel. Transfer, in particular, has been shown to produce an additional penalty that is independent of time that it takes to transfer. Riders usually have a negative perception of transfer because of the inconvenience which can be termed as "transfer penalty". This transfer penalty is composed of several components: penalties due to walking while transferring, due to waiting for the connecting vehicle, extra cost and uncertainty. Some of these attributes of the transfer are often lacking in most of the existing literature. Understanding what impacts the transfer penalty and the contribution of each component can have significant implications for a transit authority, helping to identify which types of system improvement can most cost-effectively improve transfers, and thus attract more passengers. Such an understanding should also lead to potential improvements in ridership forecasting models. This paper describes an investigation of the impact of transfer on transit mode choice by decomposing the transfer penalty into transfer walking distance and transfer waiting time. The approach is to consider alternative utility functions with different representations of the transfer component and subcomponents, including piecewise-linearand separated formsforthe sensitivity parameter. The empirical data used were obtained in stated preference experiments of transit mode choice comparing LRT and bus. Alternatives were described by specifying the amounts of time spent on vehicle, access, transfer and egress walk distances, fare, and transfer wait time. Indications of socioeconomic characteristics and level of experience of transit use were also collected. A total of approximately 452 interviews were collected in April of 2010. These were used to estimate the parameter values for a range of different utility functions in logit models representing choice behavior. The Jack-knife estimation procedure was used to correct for the repeated measurements. The results indicate, among other things, that a transfer is equivalent to about 25 minutes of ride time, that walking at transfer is more onerous than waiting at transfer, that 'per minute' sensitivity to transfer wait time goes down as time goes up, that transfer becomes more onerous for aged people, for female and for new users. Some of these findings are novel while others are consistent with work done previously, and these findings have some implicationsfor both theory and practice. en_US
dc.language.iso en en_US
dc.publisher Department of Civil Engineering en_US
dc.subject Transit Utility en_US
dc.subject Transit Attractiveness en_US
dc.subject Mode Choice en_US
dc.subject Transfer en_US
dc.subject Waiting Time en_US
dc.subject Walking Distance en_US
dc.subject Transit Service en_US
dc.title Impact of transfer on transit attractiveness en_US
dc.type Conference-Abstract en_US
dc.identifier.faculty Engineering en_US
dc.identifier.department Department of Civil Engineering en_US
dc.identifier.year 2011 en_US
dc.identifier.conference International conference on Advances in Highway Engineering & Transportation Systems en_US
dc.identifier.place Colombo en_US
dc.identifier.pgnos p. 17 en_US
dc.identifier.proceeding Proceedings of Advances in Highway Engineering & Transportation Systems 2011 en_US


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