Minimum acceptable time for turning off idling engines: Evidence from Taiwan |
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| Institution: | 1. Department of Civil Engineering, National Chi Nan University, No. 1, University Rd., Puli, Nantou County 54561, Taiwan;2. Bureau of Transportation, Taichung City Government, Taiwan;3. Institute of Industrial Economics, National Central University, No. 300, Jhongda Rd., Jhongli City, Taoyuan County 32001, Taiwan;1. Department of Environmental Science and Technology, School of Human Settlements and Civil Engineering, Xi’an Jiaotong University, Xi’an 710049, China;2. SKLLQG, Institute of Earth and Environment, CAS, Xi’an 710075, China;3. Department of Civil and Environmental Engineering, Research Center for Environmental Technology and Management, The Hong Kong Polytechnic University, Hong Kong, China;4. Department of Science and Environmental Studies and Centre for Education for Environmental Sustainability, The Hong Kong Institute of Education, Hong Kong, China;1. Department of Air Transportation Management, Aletheia University, 70-11, Pei-Shi-Liao, Matou, Tainan County 721, Taiwan;2. Department of Civil Engineering, National Chi Nan University, 1, University Road, Puli 545, Taiwan;1. China Minmetals (Beijing) Research Institute of RE Co., Ltd, Beijing 100085, China;2. Beijing National Laboratory for Molecular Sciences, State Key Laboratory of Rare Earth Materials Chemistry and Applications, PKU-HKU Joint Lab on Rare Earth Materials and Bioinorganic Chemistry, Peking University, Beijing 100871, China;1. Department of Civil and Environmental Engineering, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford GU2 7XH, United Kingdom;2. Environmental Flow (EnFlo) Research Centre, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford GU2 7XH, United Kingdom |
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| Abstract: | This paper examines the influence of different factors on motorist willingness to comply with idling stop regulations, as determined using stated preference analysis. Motorists were surveyed at urban roadsides in Taiwan, and the results obtained were analyzed using a partially adaptive model. The analysis showed that the standing time and turnoff idling engine while parking are both significant variables, and arise from risk aversion behavior. Environmental perceptions and convenience of use are the most influential factors, according to elasticity analysis. The study also verifies that a partially adaptive model is an appropriate model to consider censored data in a Triple-Bounded Dichotomous Choice analysis. These results will be useful as a reference for improving implementation of idling reduction regulations. |
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| Keywords: | Idling reduction policy Triple-Bounded Dichotomous Choice Stated preference analysis Interval regression model Partially adaptive estimation |
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