Using spike model to reduce traffic congestion and improve public transportation in Malaysia |
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Affiliation: | 1. Civil and Structural Engineering, Universiti Kebangsaan Malaysia, Darul Ehsan, 43600 UKM Bangi, Selangor, Malaysia;2. Sustainable Urban Transport Research Centre (SUTRA), Universiti Kebangsaan Malaysia, Darul Ehsan, 43600 UKM Bangi, Selangor, Malaysia;1. Department of Science Communication, University of Otago, Dunedin, New Zealand;2. Department of Tourism, University of Otago, Dunedin, New Zealand;3. Norwegian School of Hotel Management, University of Stavanger, Norway;1. Korea Research Institute for Human Settlements (KRIHS), South Korea;2. Department of Urban Management, Kyoto University, Japan;3. Institute of Innovation for Future Society, Nagoya University, Japan;4. Department of Earth Resource Sciences, Kyoto University, Japan;5. Shizuoka Railway CO. LTD, Japan;1. Faculty of Spatial Sciences, University of Groningen, Landleven 1, Groningen, the Netherlands;2. Faculty of Engineering, Gadjah Mada University, Jalan Grafika 2, 55284, Yogyakarta, Indonesia;3. Department of Civil Engineering, Western Norway University of Applied Sciences (HVL), Inndalsveien 28, 5063, Bergen, Norway;4. Landscape Architecture and Spatial Planning, Wageningen University and Research (WUR), Droevendaalsesteeg 3, 6708 PB, Wageningen, the Netherlands;1. School of Geography, Planning and Environmental Management, The University of Queensland, Brisbane 4072, Australia;2. School of Social Science, The University of Queensland, Brisbane 4072, Australia |
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Abstract: | In this study, passengers’ willingness to pay (WTP) for and willingness to accept (WTA) improved public transportation and shift to public transportation in Malaysia were examined. Specifically, this study aimed to determine the factors or transport attributes that affect passenger WTA and WTP to shift to public transportation. The adopted methodology was based on a contingent valuation (CV) survey, which was conducted on a representative sample of a cross section in residents of Kajang, in Malaysia. This CV primary survey elicited the demand of passengers for improved public transportation. The spike model was adopted to avoid estimation errors caused by a large percentage of respondents who were unwilling to pay and accept at all. The estimation results showed that the best reduction rate for both travel time and cost was 45% among other amounts that range from 15% to 75%. The best parking cost increment was US$0.30 and the average WTP is US$0.68. |
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Keywords: | Spike model Public transportation Contingent valuation Willingness to pay |
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