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

Author:

Hill AbigailORCID,Cheshire James

Abstract

AbstractBritish 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.

Funder

Economic and Social Research Council

Publisher

Springer Science and Business Media LLC

Subject

Geography, Planning and Development

Reference57 articles.

1. Achen, C. H. (2000). July. Why lagged dependent variables can suppress the explanatory power of other independent variables. In Annual meeting of the political methodology section of the American political science association, UCLA (Vol. 20, No. 22, pp. 7-2000).

2. Aldermore (2017). SME Future Attitudes, Insight Report Q2, 2017. Available at: https://www.aldermore.co.uk/media/3813/sme-future-attitudes-report.pdf. Accessed 02-07-2021.

3. Allam, Z., & Dhunny, Z. A. (2019). On big data, artificial intelligence and smart cities. Cities,89, 80–91.

4. Appel, A., & Hardaker, S. (2021). Strategies in times of pandemic crisis—Retailers and regional resilience in Würzburg, Germany. Sustainability, 13(5), 2643.

5. Batty, M., Murcio, R., Iacopini, I., Vanhoof, M., & Milton, R. (2021). London in lockdown: mobility in the pandemic city. COVID-19 pandemic, Geospatial Information, and Community Resilience (pp. 229–244). CRC Press.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3