Issues Associated with the Analysis of Rural Commuting

Issues Associated with the Analysis of Rural Commuting

Martin Frost, Adam Dennett
ISBN13: 9781615207558|ISBN10: 1615207554|ISBN13 Softcover: 9781616922818|EISBN13: 9781615207565
DOI: 10.4018/978-1-61520-755-8.ch011
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MLA

Frost, Martin, and Adam Dennett. "Issues Associated with the Analysis of Rural Commuting." Technologies for Migration and Commuting Analysis: Spatial Interaction Data Applications, edited by John Stillwell, et al., IGI Global, 2010, pp. 212-226. https://doi.org/10.4018/978-1-61520-755-8.ch011

APA

Frost, M. & Dennett, A. (2010). Issues Associated with the Analysis of Rural Commuting. In J. Stillwell, O. Duke-Williams, & A. Dennett (Eds.), Technologies for Migration and Commuting Analysis: Spatial Interaction Data Applications (pp. 212-226). IGI Global. https://doi.org/10.4018/978-1-61520-755-8.ch011

Chicago

Frost, Martin, and Adam Dennett. "Issues Associated with the Analysis of Rural Commuting." In Technologies for Migration and Commuting Analysis: Spatial Interaction Data Applications, edited by John Stillwell, Oliver Duke-Williams, and Adam Dennett, 212-226. Hershey, PA: IGI Global, 2010. https://doi.org/10.4018/978-1-61520-755-8.ch011

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Abstract

It is important to acknowledge that the reliability of the 2001 Census interaction data depends on spatial scale and geographical location. As the spatial scale becomes more refined, small cell adjustment becomes more significant because sets of flows are likely to contain more ones and twos prior to adjustment. Likewise, data for areas such as large towns and cities that have many commuters and migrants will tend to be more reliable than data for rural and sparsely populated areas where flows of commuters and migrants are likely to be relatively small. This chapter is concerned with commuting flows for rural areas and examines the sources of unreliability in the 2001 Census data by considering statistical disclosure controls, the quality of census responses and the implications of table specifications. The chapter also addresses some of the issues associated with analyzing data for rural areas and the anomalies that exist between area classifications defined by the Department for Environment, Food and Rural Affaires (DEFRA) and the Office of National Statistics (ONS).

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