NDLI: Variability of commuters’ bus line choice: an analysis of oyster card data

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Variability of commuters’ bus line choice: an analysis of oyster card data

Content Provider	Springer Nature Link
Author	Kurauchi, Fumitaka Schmöcker, Jan Dirk Shimamoto, Hiroshi Hassan, Seham M.
Copyright Year	2013
Abstract	A hyperpath can be defined as a set of attractive lines identified by the passenger, each of which might be the optimal one from the current stop, depending on lines’ arrival time, frequency, cost etc. This concept can lead to complex route choice and has been a fundamental assumption in most transit assignment models, despite few evidence whether passengers’ indeed select such complex strategies. This research uses time series smart card data from London to investigate flexibility in buses chosen by morning commuters. The analysis is based on n-step Markov models and proposes that the variations in bus lines taken by passengers who supposedly travel between the same OD pair every morning over several days should reflect the set of paths included in an (optimal) hyperpath. Our hypothesis is that a large variation in bus lines over days indicates a complex hyperpath whereas a passenger who takes the same line every morning does not consider many alternatives. Our results suggest that there is indeed significant variation in bus lines chosen, possibly in accordance with the theory of hyperpaths in networks with uncertainty.
Starting Page	21
Ending Page	34
Page Count	14
File Format	PDF
ISSN	1866749X
Journal	Public Transport
Volume Number	6
Issue Number	1-2
e-ISSN	16137159
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2013-10-22
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Bus line choice variation Oyster card data Travel behaviour Markov model Operations Research/Decision Theory Automotive Engineering Computer-Aided Engineering (CAD, CAE) and Design Transportation
Content Type	Text
Resource Type	Article
Subject	Management Science and Operations Research Information Systems Transportation Mechanical Engineering

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