Data underlying the MSc thesis: Amsterdam on Foot - Designing a city-specific walkability index through a participatory approach. Walkability Index results.

doi: 10.4121/deb43791-90a7-48f9-becb-23ad82efc3af.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/deb43791-90a7-48f9-becb-23ad82efc3af
Datacite citation style:
Cardoso, Matias (2023): Data underlying the MSc thesis: Amsterdam on Foot - Designing a city-specific walkability index through a participatory approach. Walkability Index results. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/deb43791-90a7-48f9-becb-23ad82efc3af.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

This dataset encompasses the GIS outcomes of the thesis "Amsterdam on Foot - Designing a city-specific walkability index through a participatory approach." The study's focus is on collaboratively crafting a tool to gauge the walkability of each street segment in Amsterdam. This involved a mixed methods approach combining qualitative and quantitative techniques to assign significance weights to various street attributes, identified as influential for walkability by experts, advocates, and designers in Amsterdam's active mobility and public space sectors. The data for the calculation of the scores for Amsterdam was sourced from OpenStreetMap, the Amsterdam Open Data portal, the Dutch BGT portal, the Rijksinstituut voor Volksgezondheid en Milieu, and Rijkswaterstaat. This dataset, presented as a GeoPackage, is compatible with standard GIS software.

history
  • 2023-08-11 first online, published, posted
publisher
4TU.ResearchData
format
GeoPackage
organizations
TU Delft, Faculty of Architecture and the Built Environment
Wageningen University & Research, Master's Metropolitan Analysis, Design and Engineering
AMS Institute (Amsterdam Institute for Advanced Metropolitan Solutions)

DATA

files (2)