Developing an indicator system for local governments to evaluate transport sustainability strategies |
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| Institution: | 1. Department of Harbor and River Engineering, National Taiwan Ocean University, 2, Pei-Nein Road, Keelung 20224, Taiwan;2. Department of Harbor and River Engineering, National Taiwan Ocean University, Taiwan;1. Graduate Program of Transportation Engineering Military Institute of Engineering, Praça General Tibúrcio 80, Praia Vermelha, Rio de Janeiro, 999074, Brazil;2. Program of Transportation Engineering COPPE/UFRJ. Technology Center, Building H–Room 117, University City–Rio de Janeiro, Rio de Janeiro 999074, Brazil;1. Department of Food Safety and Quality Management, University of Belgrade - Faculty of Agriculture, Belgrade, Serbia;2. AD Imlek, Industrijsko naselje bb, 11213, Padinska Skela, Belgrade, Serbia;3. Department of Animal Origin Products Technology, University of Belgrade, Faculty of Agriculture, Nemanjina 6, 11080, Belgrade, Serbia;1. Department of Civil and Environmental Engineering, Amirkabir University of Technology, Hafez St., Tehran 15875-4413, Iran;2. CONCITO, Kattesundet 4, 3. Sal 1458 Copenhagen K, Denmark;1. Department of Civil Engineering, Indian Institute of Science (IISc), Bangalore 560012, Karnataka, India;2. Centre for Infrastructure, Sustainable Transportation, and Urban Planning (CiSTUP), Indian Institute of Science (IISc), Bangalore 560012, Karnataka, India;1. Northeast Forestry University, Harbin, China;2. Heilong Jiang Ecological Civilization Research Base, Harbin, China;3. Heilong Jiang University of Science and Technology, Harbin, China |
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| Abstract: | This study proposed an indicator system for measuring and monitoring transport sustainability at the county (or city) level. Twenty-one indicators were grouped into economy, environment, society, and energy aspects. A committee comprised of government officials from Taipei City and New Taipei City proposed transport solutions to improve the transport sustainability of the Taipei metropolitan area. Ten key indicators were selected to measure the sustainable transport strategies. This study applied Fuzzy Cognitive Maps (FCMs) and the Analytic Hierarchy Process (AHP) to construct the cause–effect relationships between these key indicators and to evaluate sustainable transport strategies. The evaluation results showed that the strategy of expanding mass rapid transit (MRT) lines was predicted to produce the most significant improvements; the strategy of integrating bus exclusive lanes would provide the least improvement; and the strategies of promoting cleaner vehicles and integrating Fu-Kang bus resources would perform similarly to each other in improving transport sustainability. |
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| Keywords: | Transport sustainability Indicator system Fuzzy Cognitive Maps (FCMs) Cause–effect relationship Analytic Hierarchy Process (AHP) |
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