Urban Consumption Patterns: OpenStreetMap Quality for Social Science Research

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Title: Urban Consumption Patterns: OpenStreetMap Quality for Social Science Research
Authors: Rabiei-Dastjerdi, HamidrezaMcArdle, GavinBallatore, Andrea
Permanent link: http://hdl.handle.net/10197/12632
Date: 9-May-2020
Online since: 2021-11-11T14:37:18Z
Abstract: Citizen consumption refers to the goods and services which citizens utilise. This includes time spent on leisure and cultural activities as well as the consumption of necessary and luxury goods and services. The spatial dimension of consumption inequality can show the underlying urban spatial structure and processes of a city. Usually, the main barrier to effectively measuring consumption is the availability and accessibility of spatial data. While the main body of the literature utilises official, government data, such data is not always available, up-to-date or can be costly to acquire. In this paper, we discuss the potential of Volunteered Geographic Information (VGI) as a source of spatial data for determining consumption inequality. To this end, we compared OpenStreetMap (OSM) data, that can be used as proxies for consumption inequality, with official data in the area of Greater London. The results show that OSM is currently inadequate for studying the spatial dimension of consumption. It is our view that while VGI is appropriate for tasks such as routing and navigation, it also has the potential to add value to social science studies in the future.
Funding Details: European Commission Horizon 2020
Type of material: Conference Publication
Publisher: SciTePress
Keywords: Consumption inequalityOpenStreetMap (OSM)Data qualityLondon
DOI: 10.5220/0009576302780285
Other versions: http://www.gistam.org/?y=2020
Language: en
Status of Item: Peer reviewed
Is part of: Grueau, C., Laurini, R., and Ragia, L. (eds.). Proceedings of the 6th International Conference on Geographical Information Systems Theory, Applications and Management
Conference Details: The 6th International Conference on Geographical Information Systems Theory, Applications and Management, Online Event, 7-9 May 2020
ISBN: 9789897584251
ISSN: 2184-500X
This item is made available under a Creative Commons License: https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Appears in Collections:Computer Science Research Collection

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