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      An Investigation of the Impact and Resilience of British High Streets Following the COVID-19 Lockdown Restrictions

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      Applied Spatial Analysis and Policy
      Springer Netherlands
      Retail resilience, High streets, Spatial analysis, Consumer data

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          Abstract

          British high streets have faced significant economic and cultural challenges as a consequence of the COVID-19 pandemic. This is predominantly due to government enforced restrictions which required all ‘non-essential’ retail to close, resulting in a significant change in the way consumers interacted with high streets. While all premises related to the retail or hospitality sector were forced to close, leading to rising vacancy rates, some high streets were more resilient to the economic shock than others. In this paper we detect some of the unforeseen consequences of the pandemic on British high streets and create a measure of resilience. The impact of the lockdown restrictions have resulted in some high streets, notably Spring Street in Paddington, London, experiencing disproportionate decline. Others including Northolt Road in Harrow, London were able maintain their occupancy. This study provides a typology of high street resilience incorporating the impact of the COVID-19 lockdown restrictions and links the impact of government policy to the economic performance of high streets. The outcomes from this research address both local and national policy contexts as the resilience typology has the potential to assist in funding allocation for recovery and regeneration projects.

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          Applied Logistic Regression Analysis

          The focus in this Second Edition is again on logistic regression models for individual level data, but aggregate or grouped data are also considered. The book includes detailed discussions of goodness of fit, indices of predictive efficiency, and standardized logistic regression coefficients, and examples using SAS and SPSS are included. More detailed consideration of grouped as opposed to case-wise data throughout the book Updated discussion of the properties and appropriate use of goodness of fit measures, R-square analogues, and indices of predictive efficiency Discussion of the misuse of odds ratios to represent risk ratios, and of over-dispersion and under-dispersion for grouped data Updated coverage of unordered and ordered polytomous logistic regression models.
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            On big data, artificial intelligence and smart cities

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              Resilience engineering: Concepts and precepts

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                Author and article information

                Contributors
                abigail.hill.19@ucl.ac.uk
                james.cheshire@ucl.ac.uk
                Journal
                Appl Spat Anal Policy
                Appl Spat Anal Policy
                Applied Spatial Analysis and Policy
                Springer Netherlands (Dordrecht )
                1874-463X
                1874-4621
                29 November 2022
                29 November 2022
                : 1-23
                Affiliations
                GRID grid.83440.3b, ISNI 0000000121901201, Department of Geography, , University College London, ; London, England
                Author information
                http://orcid.org/0000-0003-0912-6876
                Article
                9494
                10.1007/s12061-022-09494-8
                9707234
                36466795
                3cde9e56-3bd1-4254-8986-04e00d9273fd
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 28 January 2022
                : 16 November 2022
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100000269, Economic and Social Research Council;
                Award ID: ES/L011840/1
                Award Recipient :
                Categories
                Article

                retail resilience,high streets,spatial analysis,consumer data

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