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Huber, Stephan ; Rust, Christoph

Calculate travel time and distance with OpenStreetMap data using the Open Source Routing Machine (OSRM)

Huber, Stephan and Rust, Christoph (2016) Calculate travel time and distance with OpenStreetMap data using the Open Source Routing Machine (OSRM). The Stata Journal 16 (2), pp. 416-423.

Date of publication of this fulltext: 07 Jul 2016 10:10
Article
DOI to cite this document: 10.5283/epub.34045


Abstract

In this article, we introduce the osrmtime command, which calculates the distance and travel time between two points using latitude and longitude information. The command uses the Open Source Routing Machine (OSRM) and OpenStreetMap to find the optimal route by car, by bicycle, or on foot. The procedure is specially built for large georeferenced datasets. Because it is fast, the command uses the ...

In this article, we introduce the osrmtime command, which calculates the distance and travel time between two points using latitude and longitude information. The command uses the Open Source Routing Machine (OSRM) and OpenStreetMap to find the optimal route by car, by bicycle, or on foot. The procedure is specially built for large georeferenced datasets. Because it is fast, the command uses the full computational capacity of a PC, allows the user to make unlimited requests, and is independent of the Internet and commercial online providers. Hence, there is no risk of the command becoming obsolete. Moreover, the results can be replicated at any time.


Involved Institutions


Details

Item typeArticle
Journal or Publication TitleThe Stata Journal
Publisher:Stata Press
Open Access Type:Alliance-/National licence
Volume:16
Number of Issue or Book Chapter:2
Page Range:pp. 416-423
DateJune 2016
Additional Information (public)Open Access-Komponente aus einer Allianzlizenz
InstitutionsBusiness, Economics and Information Systems > Institut für Volkswirtschaftslehre und Ökonometrie > Entpflichtete oder im Ruhestand befindliche Professoren > Lehrstuhl für Empirische Makroökonomie und Regionalökonomie (Prof. Dr. Joachim Möller)
Business, Economics and Information Systems > Institut für Immobilienenwirtschaft / IRE|BS > Alumni or Retired Professors > Lehrstuhl für Empirische Makroökonomie und Regionalökonomie (Prof. Dr. Joachim Möller)
Keywordsosrmtime, osrmprepare, mqtime, traveltime3, OSRM, OpenStreetMap, Google Maps, MapQuest, geospatial analysis, ArcGIS, travel time, travel distance, public road network
Dewey Decimal Classification300 Social sciences > 310 General statistics
300 Social sciences > 330 Economics
StatusPublished
RefereedYes, this version has been refereed
Created at the University of RegensburgYes
URN of the UB Regensburgurn:nbn:de:bvb:355-epub-340452
Item ID34045

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