Journal
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
Volume 95, Issue -, Pages 164-176Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.tre.2016.09.010
Keywords
Experience conditioning; Revealed preferences; Frequency of use; Mode choice; Willingness to pay; Elasticities; Prediction differences
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Funding
- CONICYT PAI/INDUSTRIA [79090016]
- Australian Research Council Grant [DP140100909]
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This paper investigates the impact of decision maker's experience on model-elasticities and predicted market share, using data collected in Sydney on commuter mode choice. Usage frequency is used as a proxy for experience and two Separate mode choice models are estimated - one with experience conditioning choice and one without. Key model outputs are compared and we find that differences in the value of travel time savings and model elasticities are very marked. This suggests that ignoring experience that one has with each alternative in their choice set may be a candidate source of error in travel demand forecasts. We develop a method to obtain the level of experience for use in application of choice models to increase their prediction power. (C) 2016 Elsevier Ltd. All rights reserved.
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