What can we learn from COVID-19 about helping local areas to be more resilient to economic, and other, shocks? And what is the impact of changes in demand for land, such as office, retail, housing etc in particular locations?

Background

The questions that will help us to grow our understanding to support the recovery from the pandemic, and to inform the medium and long term strategy for ‘living with COVID’, in areas relevant to DLUHC responsibilities.

Next steps

The lead contacts are: Lesley Smith, Senior Principal Research Officer, Analysis, Research and Co-ordination Unit, Analysis and Data Directorate: Lesley.Smith@levellingup.gov.uk and David Hughes, Head of the Chief Scientific Adviser’s office: psChiefScientificAdviser@levellingup.gov.uk.

Source

This question was published as part of the set of ARIs in this document:

DLUHC Areas of research interest GOVUK

Related UKRI funded projects

  • Economic Recovery Analytics

    NQM Economic Analyser applies artificial intelligence, statistical techniques and scenario modelling to the problem of local economic planning for resilience and recovery from Covid-19\. The economic health of the high ...

    Funded by: Innovate UK

    Lead research organisation: NQUIRINGMINDS LIMITED

    Why might this be relevant?

    The project applies AI and statistical techniques to help local economic planning for resilience and recovery from Covid-19.

  • The geography of post COVID-19 shutdown recovery risk in UK economic activity. Implications for recovery inequality and targeted stimulus

    The COVID-19 shutdown is not affecting all parts of the UK equally. Economic activity in local consumer service industries (LCSI), such as retail outlets, restaurants, hairdressers, or gardeners has all but stopped; othe...

    Funded by: COVID

    Lead research organisation: University of Sheffield

    Why might this be relevant?

    The project measures the shock, multiplier, and recovery risk for UK neighborhoods, providing data for designing appropriate recovery policy.

  • Systemic environmental risk analysis for threats to UK recovery from COVID-19

    UK Recovery from COVID-19 needs to balance the needs of the economy, societal cohesion and health. The Environment is not currently explicit in some framings of national recovery, yet there are a number of major risks in...

    Funded by: NERC

    Lead research organisation: University of Reading

    Why might this be relevant?

    The project analyzes systemic environmental risks to UK recovery from COVID-19, but does not directly address the impact of changes in demand for land in specific locations.

  • The Economic Linkages of Covid-19 Across Sectors and Regions in the UK

    The COVID-19 pandemic has affected different countries and regions differently both in the severity and the number of cases. Therefore, different regions within countries may require different policies to effectively add...

    Funded by: COVID

    Lead research organisation: University of Hull

  • Supporting Post Pandemic Recovery and Resilience through New Forms of Data

    This proposal will build a community of practice around the use of new forms of data to support post pandemic recovery and resilience, with a comparative focus on UK and South Korean neighbourhoods. Our network brings to...

    Funded by: FIC

    Lead research organisation: University of Liverpool

  • Predictive Analytics for Covid-19 Recovery

    Reopening the economy and reestablishing social contact are vital to the recovery of the economy and society from Covid-19\. Early reopening for economic stimulus risks having the opposite effect, as repeated restriction...

    Funded by: Innovate UK

    Lead research organisation: TWO WORLDS CONSULTING LIMITED

  • Mathematical modeling and adaptive control to inform real time decision making for the COVID-19 pandemic at the local, regional and national scale

    The world is currently being devastated by a pandemic of coronavirus disease (COVID-19) which, at the time of writing, has resulted in almost 1 million confirmed cases of infection and around 50,000 deaths worldwide. Aro...

    Funded by: COVID

    Lead research organisation: University of Warwick

  • Recovering from COVID-19: Informing, supporting and developing guidance for local resilience

    Recovery is "the process of rebuilding, restoring and rehabilitating the community following an emergency" (HMG Emergency Response and Recovery, 2013). For COVID-19, recovery will involve all-of society (becaus...

    Funded by: COVID

    Lead research organisation: University of Manchester

    Why might this be relevant?

    This project specifically focuses on informing and supporting local resilience to COVID-19 recovery, addressing changes in demand for land, and the authors have expertise in emergency response and recovery.

  • Efficient geostatistical sampling to estimate the fraction of the population recovered from Covid-19

    The Covid-19 pandemic has a long course to run. Its successful management by governments and other international agencies will require statistical tools for real-time monitoring of the evolution of the pandemic over spac...

    Funded by: COVID

    Lead research organisation: University of Birmingham

  • COVID-19: Optimal Lockdown

    The current COVID-19 pandemic has caused whole countries to lockdown, with a huge effect on people's lives and in the economy. Naturally, there are questions about how efficient this lockdown is, and increasing interest ...

    Funded by: COVID

    Lead research organisation: University of Warwick

Similar ARIs from other organisations

Ensuring an informed response How do we ensure a sustainable economic recovery post COVID-19 with environmental outcomes built in; and what is the potential for rural communities and businesses to contribute? Department for Environment, Food & Rural Affairs, 2021
See details
Deliver financial support to people who are entitled to it What impacts has COVID-19 had on income poverty, material deprivation and the cost of living? Department for Work and Pensions, 2023
See details