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Urban traffic externalities: quasi-experimental evidence from housing prices

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Abstract

This paper exploits a quasi-experiment to value the benefits of reducing urban traffic externalities. As a source of exogenous variation we use the opening of a new bypass in The Hague, the Netherlands that reduced traffic on a number of local streets, leaving others unaffected. We make use of a unique longitudinal dataset on traffic densities and residential sales, and calculate the effect of the change in traffic nuisance on housing prices. We find that, on average, a reduction of 50% in traffic density induces a 1.4% increase in housing prices. Reductions in traffic nuisance are valued much more positively when the traffic density is already high. Furthermore, our results indicate that traffic nuisance effects are likely to be biased in cross-sectional studies.
Original languageEnglish
Pages (from-to)1-13
JournalRegional Science and Urban Economics
Volume55
DOIs
Publication statusPublished - 2015
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Traffic externalities;
  • Quasi-experiment
  • Housing market
  • Hedonic approach

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