Distinguishing transfer from activity using public transport fare data
Files
(Published version)
Date
2018
Authors
Mosallanejad, M.
Somenahalli, S.
Vij, A.
Mills, D.
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Conference paper
Citation
Proceedings of the Australasian Transport Research Forum, 2018, pp.1-5
Statement of Responsibility
Conference Name
Australasian Transport Research Forum ATRF (30 Oct 2018 - 1 Nov 2018 : Darwin, Australia)
Abstract
Transport smart cards offer transit planners access to a tremendous source of spatial–temporal data, offering opportunities to infer a passenger’s mobility pattern and path choices. To estimate travel demand, the origin–destination matrix is required, which must be estimated from commuters’ trajectories in multi-leg journeys. To infer a destination from alighting stops requires the ability to distinguish between transfer and activity and to improve the accuracy of detecting short or hidden activities. In this paper, a new heuristic method has been developed using SQL software based on the trip chain model for bus passengers in Adelaide, using smart card information. This study uses some assumptions and develops a technique to differentiate a transfer from an activity. By this method, it is assumed that ‘if a passenger alights, then later boards another bus on the same or a parallel route, it is assumed that the passenger was not transferring but was undertaking some activity between the trip legs. Analysis of a week’s data for bus users validated based on a survey. The result is useful in estimating the Origin–Destination (OD) matrix and assists in reaching an accurate estimation of public transport demand; the OD matrix will help public agencies to rationalise routes, leading to higher public transport patronage.
School/Discipline
Dissertation Note
Provenance
Description
Access Status
Rights
copyright 2018 The author(s)