Volume List  / Volume 6 (4)

Article

IMPACT OF SOCIO-ECONOMIC VARIABLES AND TRAVEL ENVIRONMENT ON PERCEPTION OF TRAVEL TIME: A CASE STUDY OF SURAT, INDIA

DOI: 10.7708/ijtte.2016.6(4).07


6 / 4 / 444-452 Pages

Author(s)

Krishna Saw - Civil Engineering Department, SVNIT, Surat, Gujarat-395007, India -

Bhimaji K. Katti - Civil Engineering Department, SVNIT, Surat, Gujarat-395007, India -

Gaurang J. Joshi - Civil Engineering Department, SVNIT, Surat, Gujarat-395007, India -


Abstract

Transport planners consider the travel time as the most important design and performance criteria for comparison of routes or road segments in realizing urban travel efficiency. It is the decisive tool for traffic operation and improvement measures in urban transport system. However, Perceived Travel Time (PTT) has gained more importance over the Measured Travel Time in recent time, as it is associated with drivers’ and commuters’ expressions on their traffic and route situation analysis rather than the measured one. Moreover they are to take decision on their travel plan, mode, and route choice etc. on their perception basis only. The present study focuses on the effect of socio-economic variables and the travel environment on their decisions by a study on a major traffic corridor in Surat, Gujarat for both peak and off-peak situations. Interestingly the inference is that except income there is no significant impact on perception of Travel Time. However the traffic congestion level and physical environment prevailing have significant bearing on their judgments.


Download Article

Number of downloads: 9970


References:

Chen, C.; Xu, Y.; Fu, X. 2011. Bus Route Travel Time Reliability Analysis Based on Travelers' Perceptions. In Proceedings of ICTE 2011, 352-357.

 

Connors, R.D.; Sumalee, A. 2009. A network equilibrium model with travellers’ perception of stochastic travel times, Transportation Research Part B: Methodological, 43(6): 614-624.

 

Kirpalani, V.H.; Gelfand, L. 2015. Automobile Curtailment: Interaction with Psychological Variables/Consequences/Strategies. In Marketing Horizons: A 1980's Perspective, 10-13. Springer International Publishing.

 

Lee S.; Moon B.; Lim K.; 2007. Evaluation of User Response to Reliable Shortest Path Information. In Proceedings of Eastern Asia Society of Transportation Studies, 1:87-95.

 

Li, Y.W.2003. Evaluating the urban commute experience: A time perception approach, Journal of Public Transportation, 6(4): 3p.

 

Parthasarathi, P., Levinson, D.; Hochmair, H., 2013. Network structure and travel time perception, PloS one, 8(10): p.e77718.

 

Peer, S.; Knockaert, J.; Koster, P.; Verhoef, E.T. 2014. Over-reporting vs. overreacting: Commuters’ perceptions of travel times, Transportation Research Part A: Policy and Practice, 69: 476-494.

 

Poon J. F.; Stopher P. R. 2011. Investigating the Effects of Different Types of Travel Information on Travellers’ Learning in a Public Transport Setting using An Experimental Approach. In Proceedings of Australasian Transport Research Forum, 16 p.

 

Ramazani, H.; Shafahi, Y.; Seyedabrishami, S.E. 2011. A fuzzy traffic assignment algorithm based on driver perceived travel time of network links, Scientia Iranica, 18(2): 190-197.

 

Ramezani, M.; Geroliminis, N. 2012. On the estimation of arterial route travel time distribution with Markov chains, Transportation Research Part B: Methodological, 46(10): 1576-1590.

 

Tseng, Y.Y.; Verhoef, E.; de Jong, G.; Kouwenhoven, M.; van der Hoorn, T. 2009. A pilot study into the perception of unreliability of travel times using in-depth interviews, Journal of Choice Modelling, 2(1): 8-28.

 

Ushiwaka, K.; Kikuchi, A.; Kitamura, R. 2004. Commuters’ perception of travel time and uncertainty under congestion pricing: Exploration of a six-week field experiment data. In Proceedings of International Conference Experiments Economic Science, 922-938.

 

Vreeswijk, J.; Thomas, T.; van Berkum, E.; van Arem, B.; 2014. Perception bias in route choice, Transportation, 41(6): 1305-1321.