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The study tried to depict the spatio-temporal change of crime in London over the pandemic from March 2020 to December 2020, complemented by the analyses on confirmed coronavirus cases and mobility change by London boroughs and land use types during the target period respectively. Temporally, three national milestone periods (23 rd March to 10 th May, 3 rd August to 31 st August and 31 st October to 2 nd December) had been selected as benchmark to evaluate the crime-deterrent or criminogenic effects from either lockdown or Eat-Out policies. Upon identifying (1) the most changed crime types affected by the pandemic geographically; (2) the most influenced areas (so- called hot spots) at borough and LSOA level in explanation of their sociodemographic features; and (3) the most affected land use types over pan-London measured by mobility for future crime reduction and prevention, it aims to develop new forms of knowledge in order to target future projections around crime reduction, to help fill the gap between cutting-edge data analytics and strategic and operational policy-making, and make London a safer city post COVID-19 by making best use of data and digital technology. Crucially, given the importance of the ‘policing by consent’ ethos practiced by London policing, it also targeted to understand fluctuations in key societal factors both temporally and spatially, so as to improve services to Londoners through the use of evidence
", "publication_date": "2021-04-07", "publisher": "Zenodo", "resource_type": { "id": "publication-workingpaper", "title": { "de": "Arbeitspapier", "en": "Working paper" } }, "rights": [ { "description": { "en": "The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited." }, "icon": "cc-by-icon", "id": "cc-by-4.0", "props": { "scheme": "spdx", "url": "https://creativecommons.org/licenses/by/4.0/legalcode" }, "title": { "en": "Creative Commons Attribution 4.0 International" } } ], "title": "COVID-19 Lockdowns' Impact on Crime in London" }, "parent": { "access": { "owned_by": { "user": 207313 }, "settings": { "accept_conditions_text": null, "allow_guest_requests": false, "allow_user_requests": false, "secret_link_expiration": 0 } }, "communities": { "default": "5895d394-fcd1-4c7e-a029-82c57508e91a", "entries": [ { "access": { "member_policy": "open", "members_visibility": "public", "record_policy": "open", "review_policy": "open", "visibility": "public" }, "children": { "allow": false }, "created": "2023-04-24T14:41:55.678917+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "5895d394-fcd1-4c7e-a029-82c57508e91a", "links": {}, "metadata": { "curation_policy": "", "page": "The 29th GISRUK conference in 2021 took place fully online - but was hosted by Cardiff University
\r\n\r\nGISRUK is the largest academic conference in Geographic Information Science in the UK. Since 1993, GISRUK has attracted international researchers and practitioners in GIS and cognate fields, including geography, computer science, data science, and urban planning to share the latest advances in spatial computing and analysis.
\r\n\r\nThe conference will cover all aspects of theoretical and applied geographical information science, but this year we will also have special sessions for papers which focus on aspects of the COVID19 pandemic, including ways of mapping the spread of the disease and spatially analysing the variation in its impact on such things as mobility, social inequalities and the outcomes of interventions such as stay at home orders.
\r\n\r\nConference proceedings of all accepted papers will be made available online
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