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
Road Quality and Mean Speed Score
2022
1 Online-Ressource (34 pages)
Buch
Elektronische Ressource
Englisch
Macroeconomics , National accounts , Investment , Papua New Guinea , Industry Studies: Transportation and Utilities: General , Informal sector; Economics , Saving and investment , Intangible Capital , Currency crises , Aggregate Factor Income Distribution , Railroads and Other Surface Transportation , Capacity , Economic Development: Urban, Rural, Regional, and Transportation Analysis , Economic & financial crises & disasters , Other Public Investment and Capital Stock , Capital , Economics: General , Housing , National Government Expenditures and Related Policies: Infrastructures , Income , Economics of specific sectors , Infrastructure
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