Exploring the trade-off between greenhouse gas emissions and travel time in daily travel decisions: Route and departure time choices |
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Affiliation: | 1. Institute of Transportation System Science and Engineering, Beijing Jiaotong University, Beijing 100044, China;2. Urban Planning Group, Eindhoven University of Technology, Eindhoven 5600 MB, The Netherlands;3. Department of Air Transportation Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China;1. School of Business Administration, Southwestern University of Finance and Economics, PR China;2. Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China;3. Institute for Transport Studies, University of Leeds, United Kingdom |
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Abstract: | This study analyzes the problem of conflicting travel time and emissions minimization in context of daily travel decisions. The conflict occurs because the least travel time option does not always lead to least emissions for the trip. Experiments are designed and conducted to collect data on daily trips. Random parameter (mixed) logit models accounting for correlations among repeated observations are estimated to find the trade-off between emissions and travel time. Our results show that the trade-off values vary with contexts such as route and departure time choice scenarios. Further, we find that the trade-off values are different for population groups representing male, female, individuals from high income households, and individuals who prefer bike for daily commute. Based on the findings, several policies are proposed that can help to lower greenhouse gas (GHG) emissions from transportation networks. This is one of the first exploratory studies that analyzes travel decisions and the corresponding trade-off when emissions related information are provided to the road users. |
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Keywords: | GHG emissions Random parameter models Green transportation Trade-off Emissions mitigation Personal travel Low carbon transport |
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