eprintid: 1330291
rev_number: 40
eprint_status: archive
userid: 608
dir: disk0/01/33/02/91
datestamp: 2011-11-16 02:55:01
lastmod: 2021-10-21 23:23:45
status_changed: 2011-11-16 02:55:01
type: article
metadata_visibility: show
item_issues_count: 0
creators_name: Birkin, M
creators_name: Malleson, N
creators_name: Hudson-Smith, A
creators_name: Gray, S
creators_name: Milton, R
title: Calibration of a spatial simulation model with volunteered geographical information
ispublished: pub
divisions: UCL
divisions: B04
divisions: C04
divisions: F40
keywords: crowd-sourcing, simulation, calibration, e-infrastructure, E-social science, system, urban, infrastructure, elements, moses
note: This is an Accepted Manuscript of an article published in International Journal of Geographical Information Science on 2011, available online: http://www.tandfonline.com/10.1080/13658816.2011.559169."
abstract: For many scientific disciplines, the continued progression of information technology has increased the availability of data, computation and analytical methodologies including simulation and visualisation. Geographical information science is no exception. In this article, we investigate the possibilities for deployment of e-infrastructures to inform spatial planning, analysis and policy-making. We describe an existing architecture that feeds both static and dynamic simulation models from a variety of sources, including not only administrative datasets but also attitudes and behaviours which are harvested online from crowds. This infrastructure also supports visualisation and computationally intensive processing. The main aim of this article is to illustrate how spatial simulation models can be calibrated with crowd-sourced data. We introduce an example in which popular attitudes to congestion charging in a major UK city (Manchester) were collected, with promotional support from a high-profile media organisation (the BBC). These data are used to estimate the parameters of a transport simulation model, using a hungry estimation procedure which is deployed within a high-performance computational grid. We indicate how the resulting model might be used to evaluate the impact of alternative policy options for regulating the traffic in Manchester. Whilst the procedure is novel in itself, we argue that greater credibility could be added by the incorporation of open-source simulation models and by the use of social networking mechanisms to share policy evaluations much more widely.
date: 2011
publisher: TAYLOR & FRANCIS LTD
official_url: http://dx.doi.org/10.1080/13658816.2011.559169
vfaculties: VBEF
oa_status: green
full_text_type: other
language: eng
primo: open
primo_central: open_green
article_type_text: Article
verified: verified_manual
elements_source: Web of Science
elements_id: 350238
doi: 10.1080/13658816.2011.559169
language_elements: EN
lyricists_name: Gray, Steven
lyricists_name: Hudson-Smith, Andrew
lyricists_name: Milton, Richard
lyricists_id: SJGRA79
lyricists_id: APSMI18
lyricists_id: RMILT38
full_text_status: public
publication: International Journal of Geographical Information Science
volume: 25
number: 8
pagerange: 1221 - 1239
issn: 1365-8816
citation:        Birkin, M;    Malleson, N;    Hudson-Smith, A;    Gray, S;    Milton, R;      (2011)    Calibration of a spatial simulation model with volunteered geographical information.                   International Journal of Geographical Information Science , 25  (8)   1221 - 1239.    10.1080/13658816.2011.559169 <https://doi.org/10.1080/13658816.2011.559169>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/1330291/1/intjgis-final_proof.pdf