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Advanced data analytics and visualisation for the management of human perception of safety and security in urban spaces

Advanced data analytics and visualisation for the management of human perception of safety and security in urban spaces
Advanced data analytics and visualisation for the management of human perception of safety and security in urban spaces
The genesis of this work began during the DESURBS project. The scope of the project was to help build a collaborative decision-support system portal where spatial planning professionals could learn about designing much more secure and safer spaces in urban areas. The portal achieved this via integrating a number of tools under a common, simple to use, interface. However, the deficiencies in the project became apparent with subsequent development. Many of the open data employed changed format while applications were increasingly custom built for a single dataset. In order to overcome this a system called KnowDS was redesigned. The essence of the new design includes decoupling acquisition, analysis and overall presentation of data components. The acquisition component was designed to snap-shot the “data providing methods” and query data provenance in a similar way to a source code repository. The analysis component is built under a number of modular tools with a common interface which allows analysis to build in a plug&play approach. Finally, the data presentation component is where the custom logic goes. Under such design approach, the building of future applications becomes less challenging. As a consequence, two case studies using the new framework were considered. Firstly, a UK crime web-browser which allows data analytics performances at various granularities of crime types while correlating crimes across various UK cities has been achieved. Secondly, a mobile application which enables to generate reports on citizens’ perception of safety in urban zones has also been developed. The two applications were efficiently built under the new design framework; and they clearly demonstrate the capacity of the new system while they actively generate new knowledge about safety in urban spaces
978-3-319-15993-5
445-454
Melas, Panos
bf7a965b-691f-4380-96d1-f2f8eb319c89
Correndo, Gianluca
fea0843a-6d4a-4136-8784-0d023fcde3e2
Middleton, Lee
f165a2fa-1a66-4d84-9c58-0cdaa8e73272
Sabeur, Zoheir
74b55ff0-94cc-4624-84d5-bb816a7c9be6
Melas, Panos
bf7a965b-691f-4380-96d1-f2f8eb319c89
Correndo, Gianluca
fea0843a-6d4a-4136-8784-0d023fcde3e2
Middleton, Lee
f165a2fa-1a66-4d84-9c58-0cdaa8e73272
Sabeur, Zoheir
74b55ff0-94cc-4624-84d5-bb816a7c9be6

Melas, Panos, Correndo, Gianluca, Middleton, Lee and Sabeur, Zoheir (2015) Advanced data analytics and visualisation for the management of human perception of safety and security in urban spaces. International Symposium on Environmental Software Systems (ISESS) 2015, Melbourne, Australia. 25 - 27 Mar 2015. pp. 445-454 . (doi:10.1007/978-3-319-15994-2_45).

Record type: Conference or Workshop Item (Paper)

Abstract

The genesis of this work began during the DESURBS project. The scope of the project was to help build a collaborative decision-support system portal where spatial planning professionals could learn about designing much more secure and safer spaces in urban areas. The portal achieved this via integrating a number of tools under a common, simple to use, interface. However, the deficiencies in the project became apparent with subsequent development. Many of the open data employed changed format while applications were increasingly custom built for a single dataset. In order to overcome this a system called KnowDS was redesigned. The essence of the new design includes decoupling acquisition, analysis and overall presentation of data components. The acquisition component was designed to snap-shot the “data providing methods” and query data provenance in a similar way to a source code repository. The analysis component is built under a number of modular tools with a common interface which allows analysis to build in a plug&play approach. Finally, the data presentation component is where the custom logic goes. Under such design approach, the building of future applications becomes less challenging. As a consequence, two case studies using the new framework were considered. Firstly, a UK crime web-browser which allows data analytics performances at various granularities of crime types while correlating crimes across various UK cities has been achieved. Secondly, a mobile application which enables to generate reports on citizens’ perception of safety in urban zones has also been developed. The two applications were efficiently built under the new design framework; and they clearly demonstrate the capacity of the new system while they actively generate new knowledge about safety in urban spaces

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More information

Published date: March 2015
Venue - Dates: International Symposium on Environmental Software Systems (ISESS) 2015, Melbourne, Australia, 2015-03-25 - 2015-03-27
Organisations: IT Innovation

Identifiers

Local EPrints ID: 380878
URI: http://eprints.soton.ac.uk/id/eprint/380878
ISBN: 978-3-319-15993-5
PURE UUID: 995a82e2-2abf-4d71-9520-e2d6f0db5759
ORCID for Gianluca Correndo: ORCID iD orcid.org/0000-0003-3335-5759
ORCID for Zoheir Sabeur: ORCID iD orcid.org/0000-0003-4325-4871

Catalogue record

Date deposited: 25 Sep 2015 08:02
Last modified: 14 Sep 2021 18:25

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