This dataset is the companion to Optimizing Tourism Investments: Identifying Chokepoints and Underperforming Minor Roads in Sri Lanka. This includes the outputs specifically those referenced in Annex 5
General Transit Feed Specification (GTFS) file for SOTRAMA public transit in Bamako, Mali. Data feed from 2019.
Dataset also includes shapefiles of Bamako road network, SOTRAMA routes and stops and travel time information for SOTRAMA, cars and pedestrians.
General Transit Feed Specification (GTFS) file for Portlo Alegre
The General Transit Feed Specification (GTFS) is a data specification that allows public transit agencies to publish their transit data in a format that can be consumed by a wide variety of software applications
General Transit Feed Specification (GTFS) file for Belo Horizonte in Brazil.
The General Transit Feed Specification (GTFS) is a data specification that allows public transit agencies to publish their transit data in a format that can be consumed by a wide variety of software applications
Argentina road network shapefiles with basic attributes for primary (national), secondary (province) and tertiary (rural) roads. Data derived from datasets provided by Argentina’s Ministry of Transport and National’s Road Directorate, modified by cleaning and ensuring compatibility across data files.
Federal (2020) and State (2018) highways of Brazil.
Machine learning was applied to a satellite basemap of Ghana (purchased from Maxar, née DigitalGlobe) to map building footprints and roads. Building prediction was performed by Keith Garrett and Benjamin Stewart of GOST, and the road prediction was done by a firm - Development Seed. Predictions have been made as raster datasets, and no attempt at vectorization has been attempted (yet).
Replication files and instructions for Reed, Tristan; Trubetskoy, Alexandr. 2019. Assessing the Value of Market Access from Belt and Road Projects (English). Policy Research working paper; no. WPS 8815.
The Global Roads Inventory Project is a harmonized global dataset of aproximately 60 geospatial datasets on road infrastructure. The resulting dataset covers 222 countries and includes over 21 million km of roads, which is two to three times the total length in the currently best available country-based global roads datasets.
The road density raster layers (road length per unit of area) are produced at a resolution of 5 arcminutes (approximately 8×8km at the equator). The road vector dataset was overlaid with a global 5 arcminute 'fishnet' vector dataset with unique cell identifiers...
The Global Roads Inventory Project is a harmonized global dataset of aproximately 60 geospatial datasets on road infrastructure. The resulting dataset covers 222 countries and includes over 21 million km of roads, which is two to three times the total length in the currently best available country-based global roads datasets.
This dataset is split into 5 road types: highways/ primary/ secondary/ tertiary/ local roads
For more information, please visit:
http://www.globio.info/download-grip-dataset
...
This paper studies the impact of transport infrastructure projects of the Belt and Road Initiative on shipment times and trade costs. Based on a new data on completed and planned Belt and Road transport projects, Geographic Information System analysis is used to estimate shipment times before and after the Belt and Road Initiative. Two sets of data are computed to address different research questions: a global database based on an analysis of 1,000 cities in 191 countries and 47 sectors and a regional database that focuses on more granular information (1,818 cities) for Belt and Road...
Replication Data for Adam Storeygard; Farther on down the Road: Transport Costs, Trade and Urban Growth in Sub-Saharan Africa, The Review of Economic Studies, Volume 83, Issue 3, 1 July 2016, Pages 1263–1295, https://doi.org/10.1093/restud/rdw020.
Abstract: How does isolation affect the economic activity of cities? Transport costs are widely considered an important barrier to local economic activity but their impact in developing countries is not well-studied. This paper investigates the role of inter-city transport costs in...
Shapefile of national roads (Class A and Class B), digitized from Sri Lanka's National Road Master Plan. The road shapefile is topologically correct, i.e. ready to be used for a road network.
Class A Roads: Inter-provincial trunk roads connecting major cities and ports
Class B Roads: Intra-provincial arterial roads connecting major urban areas
Sri Lanka's National Road Master Plan can be found online here: http://www.rda.gov.lk/supported/noticeboard/publications/nrmp_executiveS...
This shapefile contains roads in Madagascar and its surface type and conditions.
Major roads in Niger are provided along with basic descriptions of type and length
This shapefile contains roads in Chad and its surface type and conditions.
Data on road type, condition and traffic volume compiled by Tecsult for AICD study (2009), with input from the Ministère de l’Équipement et du Désenclavement, Entretient des Routes (MEDER), Ministère du Transport (MT) and Aviation Civile (AC)
Data on road type, condition and traffic volume compiled by Africon for AICD study (2009) with input from the Roads Authority (RA)
Data on road type, condition and traffic volume compiled by Africon for AICD study (2009)
Data on road type, condition and traffic volume compiled by Tecsult for AICD study (2009), with input from AGEROUTE
Data on road type, condition and traffic volume compiled by Tecsult for AICD study (2009), with input from L’Institut Géographique National - France (IGN)
Data on road type, condition and traffic volume compiled by Tecsult for AICD study (2009), with input from the Office national des routes (ONR)
Data on road type, condition and traffic volume compiled for AICD study (2009)
Data on road type, condition and traffic volume compiled by Africon for AICD study (2009)
Data on road type, condition and traffic volume compiled by Tecsult for AICD study (2009), with input from the Service de Banque de Données Routières (SBDR)
