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