Spatial and temporal modeling of beach use: A case study of East Anglia, UK

E. G. Coombes; A. P. Jones; I. J. Bateman; J. A. Tratalos; J. A. Gill; D. A. Showler; A. R. Watkinson; W. J. Sutherland

doi:10.1080/08920750802527127

Spatial and temporal modeling of beach use: A case study of East Anglia, UK

E. G. Coombes, A. P. Jones, I. J. Bateman, J. A. Tratalos, J. A. Gill, D. A. Showler, A. R. Watkinson, W. J. Sutherland

Research output: Contribution to journal › Article › peer-review

22 Citations (Scopus)

Abstract

As tourists are sensitive to weather conditions and changes to the environments they visit, it is likely that climate change will affect coastal recreation in the future. To understand these impacts, it is first important to quantify how visitor numbers are associated with beach characteristics and weather patterns. Using the East Anglian coastline, UK, as a case study, information on the spatial distribution of visitors recorded from aircraft flights is combined with beach characteristic data in a Geographical Information System. In addition, surveys are undertaken at two beaches to assess temporal variations in visitation. The study finds a diverse range of characteristics are associated with visitor numbers. These findings are evaluated alongside the anticipated effects of climate change and management policies. Although it is predicted that warmer weather will increase visitor numbers overall, sea-level rise may reduce numbers at wide sandy beaches, which are currently most preferred by tourists.

Original language	English
Pages (from-to)	94-115
Number of pages	22
Journal	Coastal Management
Volume	37
Issue number	1
DOIs	https://doi.org/10.1080/08920750802527127
Publication status	Published - 2009

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10.1080/08920750802527127

Cite this

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title = "Spatial and temporal modeling of beach use: A case study of East Anglia, UK",

abstract = "As tourists are sensitive to weather conditions and changes to the environments they visit, it is likely that climate change will affect coastal recreation in the future. To understand these impacts, it is first important to quantify how visitor numbers are associated with beach characteristics and weather patterns. Using the East Anglian coastline, UK, as a case study, information on the spatial distribution of visitors recorded from aircraft flights is combined with beach characteristic data in a Geographical Information System. In addition, surveys are undertaken at two beaches to assess temporal variations in visitation. The study finds a diverse range of characteristics are associated with visitor numbers. These findings are evaluated alongside the anticipated effects of climate change and management policies. Although it is predicted that warmer weather will increase visitor numbers overall, sea-level rise may reduce numbers at wide sandy beaches, which are currently most preferred by tourists.",

author = "Coombes, {E. G.} and Jones, {A. P.} and Bateman, {I. J.} and Tratalos, {J. A.} and Gill, {J. A.} and Showler, {D. A.} and Watkinson, {A. R.} and Sutherland, {W. J.}",

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AU - Coombes, E. G.

AU - Jones, A. P.

AU - Bateman, I. J.

AU - Tratalos, J. A.

AU - Gill, J. A.

AU - Showler, D. A.

AU - Watkinson, A. R.

AU - Sutherland, W. J.

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AB - As tourists are sensitive to weather conditions and changes to the environments they visit, it is likely that climate change will affect coastal recreation in the future. To understand these impacts, it is first important to quantify how visitor numbers are associated with beach characteristics and weather patterns. Using the East Anglian coastline, UK, as a case study, information on the spatial distribution of visitors recorded from aircraft flights is combined with beach characteristic data in a Geographical Information System. In addition, surveys are undertaken at two beaches to assess temporal variations in visitation. The study finds a diverse range of characteristics are associated with visitor numbers. These findings are evaluated alongside the anticipated effects of climate change and management policies. Although it is predicted that warmer weather will increase visitor numbers overall, sea-level rise may reduce numbers at wide sandy beaches, which are currently most preferred by tourists.

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