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Designing Effective and Acceptable Road Pricing Schemes: Evidence from the Geneva Congestion Charge

2021/05/31 by Andrea Baranzini, Stefano Carattini, Linda Tesauro · 1 citation
Economics, Econometrics and Finance · Social Sciences · #Economic and Environmental Valuation #Fiscal Policy and Economic Growth #Transportation Planning and Optimization

paper · pdf · doi:10.1007/s10640-021-00564-y

openalex publication_date 2021/05/31 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01

Abstract

While instruments to price congestion exist since the 1970s, less than a dozen cities around the world have a cordon or zone pricing scheme. Geneva, Switzerland, may be soon joining them. This paper builds on a detailed review of the existing schemes to identify a set of plausible design options for the Geneva congestion charge. In turn, it analyzes their acceptability, leveraging a large survey of residents of both Geneva and the surrounding areas of Switzerland and France. Our original approach combines a discrete choice experiment with randomized informational treatments. We consider an extensive set of attributes, such as perimeter, price and price modulation, use of revenues, and exemption levels and beneficiaries. The informational treatments address potential biased beliefs concerning the charge's expected effects on congestion and pollution. We find that public support depends crucially on the policy design. We identify an important demand for exemptions, which, albeit frequently used in the design of environmental taxation, is underexplored in the analysis of public support. This demand for exemptions is not motivated by efficiency reasons. It comes mostly by local residents, for local residents. Further, people show a marked preference for constant prices, even if efficiency would point to dynamic pricing based on external costs. Hence, we highlight a clear trade-off between efficiency and acceptability. However, we also show, causally, that this gap can in part be closed, with information provision. Analyzing heterogeneity, we show that preferences vary substantially with where people live and how they commute. Even so, we identify several designs that reach majority support.

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