A Stated Preference Study to Explore Market-Based Instruments to Reduce Car Usage.

IF 3.2 3区 经济学 Q1 ECONOMICS
Environmental & Resource Economics Pub Date : 2025-01-01 Epub Date: 2025-06-05 DOI:10.1007/s10640-025-01005-w
Christopher Tate, Alberto Longo, Marco Boeri, Tim Taylor, Leandro Garcia, Ruth Hunter
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引用次数: 0

Abstract

Car dependency is becoming an increasingly difficult problem for policymakers to contend with, and requires targeted policy solutions that balance the need for greater urban mobility with reduced congestion. We investigated public preferences for welfare measures designed to encourage car use reduction and promote more sustainable urban environments. Cross-sectional survey data were obtained from n = 773 car owners living in Belfast, United Kingdom. A discrete choice experiment was used to elicit the willingness-to-pay (WTP) for a congestion charge that would finance policies to reduce car usage. A contingent valuation question assessed the willingness-to-accept (WTA) a monetary incentive to reduce car usage. WTP values were computed using a mixed logit model, and an interval data model was used to assess the factors that were correlated with WTA. We also calculated the benefit to the economy of reduced car usage. WTP for different policy measures ranged from £2.12 to £11. The highest WTP value was observed for improvements to public transport frequency, coverage, and connectivity. The median WTA value to reduce car usage by one day per week was £3. As a result of reduced emissions and road casualties, it was estimated that this intervention would generate benefits worth £3.83 m, however this was greatly outweighed by the costs involved.

Supplementary information: The online version contains supplementary material available at 10.1007/s10640-025-01005-w.

一项旨在探索以市场为基础的工具来减少汽车使用的声明偏好研究。
对于政策制定者来说,汽车依赖正成为一个越来越难以解决的问题,需要有针对性的政策解决方案来平衡城市流动性和减少拥堵的需求。我们调查了公众对旨在鼓励减少汽车使用和促进更可持续的城市环境的福利措施的偏好。横断面调查数据来自居住在英国贝尔法斯特的n = 773名车主。一项离散选择实验被用来引出交通拥堵费的支付意愿(WTP),这将为减少汽车使用的政策提供资金。一个条件估值问题评估了人们是否愿意接受减少汽车使用的金钱激励。使用混合logit模型计算WTP值,并使用区间数据模型评估与WTA相关的因素。我们还计算了减少汽车使用对经济的好处。不同政策措施的WTP从2.12英镑到11英镑不等。WTP值最高的是公共交通频率、覆盖范围和连通性的改善。每周减少一天汽车使用的WTA价值中值为3英镑。由于减少了排放和道路伤亡,据估计,这种干预将产生价值383万英镑的效益,然而,这远远超过了所涉及的成本。补充信息:在线版本包含补充资料,可在10.1007/s10640-025-01005-w获得。
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来源期刊
CiteScore
10.20
自引率
3.40%
发文量
100
期刊介绍: The primary concern of Environmental & Resource Economics (ERE) is the application of economic theory and methods to environmental issues and problems that require detailed analysis in order to improve management strategies. The contemporary environmental debate is in a constant state of flux and new or relatively unexplored topics are continually emerging. The Journal provides a forum for the further exploration of the causes, consequences and policy responses linked to these topics, across a range of spatial and temporal scales up to the global dimension. Contributions to the Journal should directly or indirectly be relevant to the policy formulation and application process. Areas of particular interest include: evaluation and development of instruments of environmental policy; cost-benefit and cost effectiveness analysis; sectoral environmental policy impact analysis; modelling and simulation; institutional arrangements; resource pricing and the valuation of environmental goods; environmental quality indicators. The editors wish to encourage a pluralistic approach to both theoretical and applied contributions. The publication of empirically based, policy-oriented research is given a high priority in the Journal in order to further critical discussion. Environmental & Resource Economics will also accept papers with an interdisciplinary approach, where this helps to improve knowledge of the real world complexities present, provided that the analysis retains links to or components of economic thinking. The Journal is required reading for economists, economic geographers and other academics, professionals and officials with a working interest in environmental matters.
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