A Novel Approach to Estimating the Demand Value of Road Safety

Abstract

We estimate the demand value of road safety improvements in Switzerland from survey data using a novel elicitation approach. Individuals' responses to questions about how much public spending on road safety should be increased are combined with observations of income, tax rate, and road usage to estimate the economic value of a statistical accident avoided. Information obtained from a risk-risk tradeo elicitation allows us to distinguish willingness-to-pay values for various degrees of accident severity. Our most comprehensive estimate of the value of a statistical accident avoided amounts to CHF 11.0 million ($11.6 million); the corresponding value per statistical life is close to CHF 4.2 million ($4.5 million). We explore the sensitivity of these estimates to anchoring and other framing e ects and find that the popularity of specific road safety programs is influenced by both the availability of di erent choice options and the provision of partisan cues expressing political endorsement or opposition.

On the nexus between landslide susceptibility and transport infrastructure – an agent-based approach

“…In particular, the functionality of socio-economic systems in modern communities heavily depends on extensive, interconnected transport networks because any disruption may cause rippling effects, eventually entailing instability of other critical infrastructure -both domestically and beyond (Bíl et al, 2015;Jaiswal et al, 2010). The main challenges are negative socio-economic consequences (high direct and indirect losses) to societies as a result of hazard events (Bordoni et al, 2018;Rheinberger et al, 2017;Pfurtscheller and Vetter, 2015;Kellermann et al, 2015;Pachauri and Meyer, 2014;Schweikert et al, 2014;Pfurtscheller, 2014;Meyer et al, 2013;Pfurtscheller and Thieken, 2013;Nemry and Demirel, 2012;Taylor and Susilawati, 2012;Rheinberger, 2011;Jenelius, 2009;Koetse and Rietveld, 2009).…”