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Road Quality and Mean Speed Score

Author

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  • Marian Moszoro
  • Mauricio Soto

Abstract

We introduce a novel measure of cross-country road quality based on the travel mean speed between large cities from Google Maps. This measure is useful to assess road infrastructure and access gaps. Our Mean Speed (MS) score is easier to estimate and update than traditional gauges of road network quality which rely on official reports, surveys (i.e., World Economic Forum’s Quality of Roads Perception survey), or satellite imaging (i.e., World Bank’s Rural Access Index). In a sample of over 160 countries, we find that MS scores range between 38 km/h (23.6 mph) and 107 km/h (66.5 mph). We show that the MS score is a strong proxy for road quality and access.

Suggested Citation

  • Marian Moszoro & Mauricio Soto, 2022. "Road Quality and Mean Speed Score," IMF Working Papers 2022/095, International Monetary Fund.
    • Handle: RePEc:imf:imfwpa:2022/095
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    Cited by:

    1. Víctor Saavedra & Carlos Felipe Reyes & María Mónica Salazar & Daniel Wiesner & Mónica Díaz, 2022. "Informe de resultados de la evaluación línea base Política General de Ordenamiento Territorial (PGOT): Procesos Territoriales priorizados en el marco del Sistema Territorial identificado por esta polí," Informes de Investigación 20395, Fedesarrollo.

    More about this item

    Keywords

    Road Quality; Sustainable Development Goals; Access to Infrastructure; MS score; road infrastructure; road network characteristic; B. geometric mean speed Score; Infrastructure; Income; Africa; Global;
    All these keywords.

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