China
Africa
Explore chapters and articles related to this topic
Structuring transport decision-making problems through stakeholder engagement: The case of Catania metro accessibility
Published in Gianluca Dell’Acqua, Fred Wegman, Transport Infrastructure and Systems, 2017
M. Ignaccolo, G. Inturri, N. Giuffrida, M. Le Pira, V. Torrisi
The map has been composed with the aid of the Open Source software QGIS (2016) by using the free plugin qgis2web. The base map references the live tiled map service from the OpenStreetMap (OSM) project. It’s made available under the Open Data Commons Open Database License (ODbL). The base map already shows the future subway line track with a dotted line.
The methodology of determining optimum access routes to remote areas for the purposes of crisis management
Published in International Journal of Digital Earth, 2022
Wojciech Dawid, Krzysztof Pokonieczny, Marek Wyszyński
The research was conducted on data obtained from OpenStreetMap (OSM), which is a global geographic database created by the community of Internet users. Each registered user may edit its content or download the data for any area of the world. The project was commenced in 2004 and, over the years, it has become the best known example of Volunteered Geographic Information (VGI) on the Web. OSM is distributed under the Open Data Commons Open Database License and it is sponsored by the non-profit organisation OpenStreetMap Foundation. The data contained in this database focus mainly on transport infrastructure (roads, pathways, railroad networks), but they also contain a wide range of other objects that are important from the point of view of terrain passability, such as buildings, forests, and lakes, etc. A detailed description of the OSM data is presented in the publication (Jokar Arsanjani et al. 2015).
Using OpenStreetMap to inventory bicycle infrastructure: A comparison with open data from cities
Published in International Journal of Sustainable Transportation, 2020
Colin Ferster, Jaimy Fischer, Kevin Manaugh, Trisalyn Nelson, Meghan Winters
OSM is a promising data source for bicycling research, especially for multicity comparisons, because it is a global dataset including transportation infrastructure and the built environment that can be obtained for free from a single source. Within OSM, nearly 4 million individuals have contributed to more than 400 million linear features including roads, cycle paths, and trails (OpenStreetMap Wiki: Stats, 2017). OSM data are available for free use under the OSM Open Database License (ODbL), which allows fair use of the data for a wide range of applications free of cost, but licensing and use policies are designed to encourage contributions to the project (e.g. share-and-share alike for derived products). An increasing number of transportation studies have made use of OSM data, including measuring pedestrian accessibility (Zielstra & Hochmair, 2012), emergency evacuation (Lu, Liu, Thomas, Bhaduri, & Han, 2015), multimodal routing for people with physical disabilities (Weyrer, Hochmair, & Paulus, 2014), general multimodal transport (Perrine, Khani, & Ruiz-Juri, 2015), measuring urban growth and accessibility (Quirós & Mehndiratta, 2014), modeling freight emissions (Martinez, Kauppila, & Castaing, 2015), and modeling bicycle volumes from count data (Gosse & Clarens, 2014). Proponents of open-source software, from which OSM takes inspiration in name and approach, highlight the potential benefits of self-motivated and skilled volunteers, the ability of map users to correct errors, and adaptability to a wide range of uses (Raymond, 2005).