Tate Christopher, Longo Alberto, Boeri Marco, Taylor Tim, Garcia Leandro, Hunter Ruth
Centre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Institute of Clinical Science B, Royal Victoria Hospital, Grosvenor Road, Belfast, BT12 6BA UK.
Patient-Centred Outcomes, OPEN Health, 20 Old Bailey, London, EC4M 7AN UK.
Environ Resour Econ (Dordr). 2025;88(8):2201-2233. doi: 10.1007/s10640-025-01005-w. Epub 2025 Jun 5.
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 = 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.
The online version contains supplementary material available at 10.1007/s10640-025-01005-w.
汽车依赖正成为政策制定者越来越难以应对的问题，需要有针对性的政策解决方案，以平衡增加城市机动性与减少拥堵的需求。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773名车主。采用离散选择实验来确定为资助减少汽车使用政策的拥堵收费的支付意愿（WTP）。一个条件估值问题评估了接受减少汽车使用货币激励的接受意愿（WTA）。使用混合逻辑模型计算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益处。不同政策措施的WTP范围为2.12英镑至11英镑。公共交通频率、覆盖范围和连通性改善的WTP值最高。每周减少一天汽车使用的WTA中位数为3英镑。由于排放和道路伤亡减少，估计这一干预措施将产生价值383万英镑的效益，然而，这远远低于所涉及的成本。
在线版本包含可在10.1007/s10640-025-01005-w获取的补充材料。
