| Abstract |
Population fluctuations driven by tourism are not captured by traditional population statistics, yet in some localities tourism is responsible for huge population fluctuations during the peak summer tourist season. Tourists staying within camping and caravanning sites, hotels/B&Bs/guesthouses or self-catering accommodation (e.g. rental cottages) are poorly captured within official statistics at the small area (sub-district) level. This is especially true within the counties of Cornwall and Devon where approx. 1 in 20 dwellings represent self-catering tourist accommodation. Tourist accommodation such as self-catering cottages (including those rented through growing peer-to-peer networks such as AirBnB) and second homes are predominantly drawn from the housing stock and very little is known about their location or occupancy patterns. Similarly, dwellings predominantly associated with tourism, such as static caravans, may be used as a permanent residential dwelling with year round occupancy. These properties and their seasonal occupancy patterns present considerable challenges for local population enumeration, and place substantial demands on infrastructure and local service provision (e.g. retail, health, emergency response). These impacts are highly localised and there is a clear requirement to understand the highly seasonal dwelling level occupancy patterns associated with the growing tourist accommodation sector. The research benefits from access to water supply data provided by project partner South West Water (SWW). SWW are the statutory water authority for south west England. Equivalent data are routinely collected by all statutory water authorities and, as non-sensitive and non-personally identifiable operational data, these data could have considerable potential as indicators of small-area or dwelling level population fluctuations driven by tourism. The proposed research aims to assess the feasibility of using water supply data to reveal small area seasonal population fluctuations driven by tourism. Specifically the research aims to: 1. Infer the seasonal and spatial distribution of small-area tourist-driven population fluctuations using area-based measures of water supply. 2. Assess the feasibility of identifying second homes/holiday homes and self-catering rental properties and their periods of occupancy/vacancy from dwelling level smart meter derived water supply records. In addressing these aims a comprehensive methodology is proposed, drawing on the investigators experience in working with similar commercial data from the electricity sector, and in estimating spatiotemporal components of small-area population fluctuations. The proposed research has considerable potential to unlock the value of novel transactional data derived from a commercial sector partner. The ability to link non-sensitive and routinely collected indicators of water supply to underlying population fluctuations could offer considerable benefits to a range of end users. These include the academic community and the Office for National Statistics (ONS). ONS have an ongoing requirement to identify non-residential dwellings to assist with population enumeration and the production of population statistics. As data provider, SWW could also realise considerable benefits from this study, including enhanced understanding of the impact of tourist-driven population fluctuations on the water supply side (provision of potable drinking water) and on the pressures placed on capacity-constrained waste water treatment systems. Our analysis will also add substantial value to a supply-side dataset which offers uniform coverage and oversight from a single authority, linking these data to existing datasets in a way that unlocks their potential in statistical and academic research. The 'Pathways to Impact' outlines a comprehensive strategy to ensure that these benefits are realised. |
