Investigating the impact of bank branch closures on access to financial services in the early stages of the COVID-19 pandemic.

There is a longstanding policy interest in understanding the impacts of changes in access to public and private services in rural areas. To date much of the empirical analysis concerning changing patterns of accessibility has been predicated on assumptions regarding the mode of transport used to access such facilities. The availability of new and open sources of data, and the increasing sophistication of spatial analytical tools, has enabled alternative transportation modes to be included when investigating the impact of service changes. In this study a nationwide analysis of changes in public transport provision and bank closures has enabled the identification of those parts of Wales that were disproportionally impacted by the loss of financial services during the early years of the COVID-19 pandemic. Drawing on local scenarios which show the combined impact of such changes, the findings demonstrate how temporal variations in accessibility can be used to examine potential patterns of exclusion that arise from the loss of key services. We conclude by suggesting that any assessment of changes in accessibility needs a holistic approach that considers changes in the transport infrastructure alongside other facets of service provision to understand the full impact of such closures on rural communities.

Towards an understanding of inequalities in accessing residential and nursing home provision: The role of geographical approaches.

Suggestions of the existence of so-called 'social care deserts' in England in the years leading up to the COVID-19 pandemic drew attention to the potential impact of geographical inequalities on the availability of residential, nursing and domiciliary care. To date, much of this analysis has been conducted at spatially aggregated scales such as that of local authorities or postcode sector. Hidden within such aggregate-level analysis however are geographical differences in the local provision of care services. In this paper, we draw attention to geographical modelling techniques that can be used to examine local trends in the supply of social care services in relation to potential demand. These spatial models can be used to examine variations in the number of facilities (or choice) within reasonable drive times/distances. Drawing on a national database of residential and nursing care beds in Wales for March 2020, we illustrate the potential of such techniques to provide an insight into current patterns in access to care homes, and to monitor future changes in the fall-out from the effects of the COVID-19 pandemic on the care home sector. The concentration of care home sites in metropolitan areas and in the heavily populated post-industrial valleys in the south-east is identified, but significant demand present in these areas ameliorates scores towards mid-range ratios. We conclude by suggesting that the types of techniques used in this study enable disparities in provision within localised areas to be better explored, thereby helping planners and policy makers to address potential inequalities in provision.

Using Geographic Information Systems to investigate variations in accessibility to 'extended hours' primary healthcare provision.

There are ongoing policy concerns surrounding the difficulty in obtaining timely appointments to primary healthcare services and the potential impact on, for example, attendance at accident and emergency services and potential health outcomes. Using the case study of potential access to primary healthcare services in Wales, Geographic Information System (GIS)-based tools that permit a consideration of population-to-provider ratios over space are used to examine variations in geographical accessibility to general practitioner (GP) surgeries offering appointment times outside of 'core' operating hours. Correlation analysis is used to explore the association of accessibility scores with potential demand for such services using UK Population Census data. Unlike the situation in England, there is a tendency for accessibility to those surgeries offering 'extended' hours of appointment times to be better for more deprived census areas in Wales. However, accessibility to surgeries offering appointments in the evening was associated with lower levels of working age population classed as 'economically active'; that is, those who could be targeted beneficiaries of policies geared towards 'extended' appointment hours provision. Such models have the potential to identify spatial mismatches of different facets of primary healthcare, such as 'extended' hours provision available at GP surgeries, and are worthy of further investigation, especially in relation to policies targeted at particular demographic groups.

An exploratory analysis of spatial variations in organ donation registration rates in Wales prior to the implementation of the Human Transplantation (Wales) Act 2013.

Spatial variations in rates of registered organ donors have not been studied in the UK at detailed spatial scales despite some evidence of national and regional differences. By drawing on the findings from the existing literature, this study examines associations between small-area variations in rates of new registrants to the UK organ donor register (ODR) within Wales and key demographic factors. Using map-based visualisations and statistical regression methods, spatial patterns in new registrants to the ODR are identified within Wales, a country which moved to an opt-out system of consent for organ donation following the Human Transplantation (Wales) Act 2013. By identifying the underlying factors associated with trends in rates of new ODR sign-up, this study aims to highlight the types of approaches that could be used to help to inform future targeted interventions aimed at improving registration rates.

Multi-modal two-step floating catchment area analysis of primary health care accessibility.

Two-step floating catchment area (2SFCA) techniques are popular for measuring potential geographical accessibility to health care services. This paper proposes methodological enhancements to increase the sophistication of the 2SFCA methodology by incorporating both public and private transport modes using dedicated network datasets. The proposed model yields separate accessibility scores for each modal group at each demand point to better reflect the differential accessibility levels experienced by each cohort. An empirical study of primary health care facilities in South Wales, UK, is used to illustrate the approach. Outcomes suggest the bus-riding cohort of each census tract experience much lower accessibility levels than those estimated by an undifferentiated (car-only) model. Car drivers' accessibility may also be misrepresented in an undifferentiated model because they potentially profit from the lower demand placed upon service provision points by bus riders. The ability to specify independent catchment sizes for each cohort in the multi-modal model allows aspects of preparedness to travel to be investigated.