USING GIS TO UNDERSTAND AND PRIORITISE WORKER MOVEMENTS DURING THE 2012 LONDON OLYMPICS

The performance of the transport network and the associated movement of people was one of the most critical elements to London’s successful delivery of the 2012 Olympic Games. During the planning stages Transport for London asked the London Borough of Newham to mitigate the impact of the authority’s...

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Main Author: I. M. McGuinness
Format: Article
Language:English
Published: Copernicus Publications 2013-05-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-4-W1/31/2013/isprsarchives-XL-4-W1-31-2013.pdf
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spelling doaj-5cf69c1fc6fc4410ab7e7777b02de3fd2020-11-25T02:52:26ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342013-05-01XL-4/W1313610.5194/isprsarchives-XL-4-W1-31-2013USING GIS TO UNDERSTAND AND PRIORITISE WORKER MOVEMENTS DURING THE 2012 LONDON OLYMPICSI. M. McGuinness0Geospatial Team, Strategic Planning, Regeneration and Olympic Legacy Division, London Borough of Newham, 1000 Dockside Road, London E16 2QU, UKThe performance of the transport network and the associated movement of people was one of the most critical elements to London’s successful delivery of the 2012 Olympic Games. During the planning stages Transport for London asked the London Borough of Newham to mitigate the impact of the authority’s 13 500 employees on transport infrastructure close to the Olympic Park. To achieve this, the authority needed to understand the geographic distribution of its workforce and the demand it placed on roads and local transport hubs. The authority’s Geospatial Team led the research based on four cross-referenced data sources, and spatial analysis was used to determine priorities for special absence arrangements and a commissioned coach service. The research was used to support a targeted information campaign but also presented considerations on large-scale data collection, the use of Human Resources data, and the degree to which the movement of people can be measured and managed.http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-4-W1/31/2013/isprsarchives-XL-4-W1-31-2013.pdf
collection DOAJ
language English
format Article
sources DOAJ
author I. M. McGuinness
spellingShingle I. M. McGuinness
USING GIS TO UNDERSTAND AND PRIORITISE WORKER MOVEMENTS DURING THE 2012 LONDON OLYMPICS
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
author_facet I. M. McGuinness
author_sort I. M. McGuinness
title USING GIS TO UNDERSTAND AND PRIORITISE WORKER MOVEMENTS DURING THE 2012 LONDON OLYMPICS
title_short USING GIS TO UNDERSTAND AND PRIORITISE WORKER MOVEMENTS DURING THE 2012 LONDON OLYMPICS
title_full USING GIS TO UNDERSTAND AND PRIORITISE WORKER MOVEMENTS DURING THE 2012 LONDON OLYMPICS
title_fullStr USING GIS TO UNDERSTAND AND PRIORITISE WORKER MOVEMENTS DURING THE 2012 LONDON OLYMPICS
title_full_unstemmed USING GIS TO UNDERSTAND AND PRIORITISE WORKER MOVEMENTS DURING THE 2012 LONDON OLYMPICS
title_sort using gis to understand and prioritise worker movements during the 2012 london olympics
publisher Copernicus Publications
series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
issn 1682-1750
2194-9034
publishDate 2013-05-01
description The performance of the transport network and the associated movement of people was one of the most critical elements to London’s successful delivery of the 2012 Olympic Games. During the planning stages Transport for London asked the London Borough of Newham to mitigate the impact of the authority’s 13 500 employees on transport infrastructure close to the Olympic Park. To achieve this, the authority needed to understand the geographic distribution of its workforce and the demand it placed on roads and local transport hubs. The authority’s Geospatial Team led the research based on four cross-referenced data sources, and spatial analysis was used to determine priorities for special absence arrangements and a commissioned coach service. The research was used to support a targeted information campaign but also presented considerations on large-scale data collection, the use of Human Resources data, and the degree to which the movement of people can be measured and managed.
url http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-4-W1/31/2013/isprsarchives-XL-4-W1-31-2013.pdf
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