Route choice behaviour with pre-trip travel time information
Route choice behaviour with pre-trip travel time information
- Author(s): Y. Shiftan ; S. Bekhor ; G. Albert
- DOI: 10.1049/iet-its.2010.0062
For access to this article, please select a purchase option:
Buy article PDF
Buy Knowledge Pack
IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.
Thank you
Your recommendation has been sent to your librarian.
- Author(s): Y. Shiftan 1 ; S. Bekhor 1 ; G. Albert 2
-
-
View affiliations
-
Affiliations:
1: Transportation Research Institute, Technion – Israel Institute of Technology, Haifa, Israel
2: Faculty of Technology Management, Holon Institute of Technology – H.I.T., Holon, Israel
-
Affiliations:
1: Transportation Research Institute, Technion – Israel Institute of Technology, Haifa, Israel
- Source:
Volume 5, Issue 3,
September 2011,
p.
183 – 189
DOI: 10.1049/iet-its.2010.0062 , Print ISSN 1751-956X, Online ISSN 1751-9578
The purpose of this study is to evaluate the potential benefits from real-time travel-time information provision by gaining insights into and better understanding of the factors affecting the route-choice behaviour of drivers possessing real-time pre-trip information. Both a field study and an in-laboratory experiment were conducted to obtain revealed preferences (RP) and stated preferences (SP) on route choice. The data collected from both experiments are inputs for a combined RP–SP route-choice model. The model also includes attitudinal factors describing drivers' personal characteristics. The results show that when experience seeking increases, individuals tend to prefer a route characterised by lower average but greater variance of travel time. Other results confirmed past studies showing that information has an impact on route-choice behaviour although compliance with received information decreases with recent experience.
Inspec keywords: transportation; behavioural sciences computing; driver information systems
Other keywords:
Subjects: Traffic engineering computing; Social and behavioural sciences computing
References
-
-
1)
- S. Kenyon , G. Lyons . Introducing multitasking to the study of travel and ICT: examining its extent and assessing its potential importance. Transp. Res. A, Policy Pract. , 2 , 161 - 175
-
2)
- E.R. Dahlen , R.C. Martin , K. Ragan , M.M. Kuhlman . Driving anger, sensation seeking, impulsiveness, and boredom proneness in the prediction of unsafe driving. Accid. Anal. Prev. , 341 - 348
-
3)
- O. Rotem-Mindali , I. Salomon . The impacts of e-retail on the choice of shopping trips and delivery: some preliminary findings. Transp. Res. A, Policy Pract. , 2 , 176 - 189
-
4)
- H. Yang , R. Kitamura , P.P. Jovanis , K.M. Vaughn , M.A. Abdel-Aty . Exploration of route choice behavior with advanced traveler information using neural network concepts. Transportation , 199 - 223
-
5)
- Bonsall, P.: `Assessing the impacts and benefits of in-car route guidance advice via field trials', IEE Conf. Proc. Vehicle Navigation and Information Systems, 1993, p. 359–363.
-
6)
- M. Zuckerman , S.B.G. Eysenck , H.J. Eysenck . Sensation seeking in England and America: cross-cultural, age, and sex comparisons. J. Consult. Clin. Psychol. , 139 - 149
-
7)
- J.L. Adler . Investigating the learning effects of route guidance and traffic advisories on route choice behavior. Transp. Res. C , 1 , 1 - 14
-
8)
- M. Wachs , W.K. Black , P. Nijkamp . (2002) Social trends and research needs in transport and environmental planning, Social change and sustainable transport.
-
9)
- E. Ben Elia , Y. Shiftan . Which road do I take? A learning-based model of route-choice behavior with real-time information. Transp. Res. A, Policy Pract. , 4 , 249 - 264
-
10)
- H.A. Koski , W.K. Black , P. Nijkamp . (2002) Information and communication technologies in transport, Social change and sustainable transport.
-
11)
- A. Polydoropoulou , M. Ben-Akiva , I. Kaysi . (1994) Influence of traffic information on drivers' route choice behavior.
-
12)
- M. Ben-Akiva , A.D. Palma , I. Kaysi . Dynamic network models and driver information systems. Transp. Res. A , 5 , 251 - 266
-
13)
- M. Outwater , S. Castleberry , Y. Shiftan , M. Ben-Akiva , Y. Zhou , A. Kuppam . (2003) Attitudinal market segmentation approach to mode choice and ridership forecasting: structural equation modeling.
-
14)
- M.P. Kwan , M. Dijst , T. Schwanen . The interaction between ICT and human activity-travel behavior. Transp. Res. A, Policy Pract. , 2 , 121 - 124
-
15)
- M. Dijst , M. Beuthe , V. Himanen , A. Reggiani , L. Zamparini . (2004) ICT and accessibility: an action space perspective on the impact of new information and communication technologies.
-
16)
- R.W. Antonisse , A.J. Daly , M. Ben-Akiva . (1989) Highway assignment method based on behavioral models of car drivers' route choice.
-
17)
- B. Lenz , C. Nobis . The changing allocation of activities in space and time by the use of ICT ‘Fragmentation’ as a new concept and empirical results. Transp. Res. A, Policy Pract. , 2 , 190 - 204
-
18)
- J. Arnett . Sensation seeking: a new conceptualization and a new scale. Pers. Indiv. Differ. , 2 , 289 - 296
-
19)
- K.K. Srinivasan , H.S. Mahmassani . (2000) Modeling inertia and compliance mechanisms in route choice behavior under real-time information.
-
20)
- E. Ben-Elia , I. Erev , Y. Shiftan . The combined effect of information and experience on drivers' route-choice behavior. Transportation , 2 , 165 - 177
-
21)
- R.H.M. Emmerink , P. Nijkamp , P. Rietveld , J.N. Ommeren . Variable message signs and radio traffic information: an integrated empirical analysis of drivers' route choice behavior. Transp. Res. A , 2 , 135 - 153
-
22)
- Chatterjee, K., Hounsell, N.B., Waterson, B.J., Firmin, P.E., Bonsall, P.: `Evaluation of the London driver information system: results from the CLEPPATRA study', IEE Conf. Proc. on Vehicle Navigation and Information Systems, 2000, p. 22–26, No. 472.
-
23)
- T. De Graaff , P. Rietveld . Substitution between working at home and out-of-home: the role of ICT and commuting costs. Transp. Res. A, Policy Pract. , 2 , 142 - 160
-
24)
- M. Zuckerman . (1994) Behavioral expressions and biosocial bases of sensation seeking.
-
25)
- J.L. Adler , M.G. McNally . In-laboratory experiments to investigate driver behavior under advanced traveler information systems. Transp. Res. C , 149 - 164
-
26)
- M.P. Kwan . Time, information technologies and the geographies of everyday life. Urban Geography , 471 - 482
-
27)
- O. Jan , A. Horowitz , Z. Peng . (2000) Using global positioning system data to understand variations in path choice.
-
28)
- Lesort, J.B., Olivero, D., Maltby, G.P., Scholfield, P., Philopps, L., Killnge Keller, H.: `Guidelines for field trials of road transport informatics systems', Final Report from DRIVE project V1049, 1990, Brussels.
-
29)
- W.H. Chen , P.P. Jovanis . (2005) Driver en-route guidance compliance and driver learning with advanced traveler information systems: analysis with travel simulation experiment.
-
30)
- H. Li , R. Guensler , J. Ogle . (2005) Analysis of morning commute route choice patterns using global positioning system-ased vehicle activity data.
-
31)
- M.A. Abdel-Aty , R. Kitamura , P.P. Jovanis . Using stated preference data for studying the effect of advanced traffic information on drivers' route choice. Transp. Res. C , 1 , 39 - 50
-
32)
- S. Bekhor , M. Ben-Akiva , S. Ramming . (2002) Adaptation of Logit Kernel to route choice situation.
-
33)
- Bierlaire, M.: `BIOGEME: a free package for the estimation of discrete choice models', Proc. Third Swiss Transportation Research Conf., 2003, Ascona, Switzerland.
-
1)