Estimates of the ambient population: assessing the utility of conventional and novel data sources

Whipp, A., Malleson, N., Ward, J. and Heppenstall, A. (2021) Estimates of the ambient population: assessing the utility of conventional and novel data sources. ISPRS International Journal of Geo-Information, 10(3), 131. (doi: 10.3390/ijgi10030131)

Abstract

This paper will critically assess the utility of conventional and novel data sources for building fine-scale spatio-temporal estimates of the ambient population. It begins with a review of data sources employed in existing studies of the ambient population, followed by preliminary analysis to further explore the utility of each dataset. The identification and critiquing of data sources which may be useful for building estimates of the ambient population are novel contributions to the literature. This paper will provide a framework of reference for researchers within urban analytics and other areas where an accurate measurement of the ambient population is required. This work has implications for national and international applications where accurate small area estimates of the ambient population are crucial in the planning and management of urban areas, the development of realistic models and informing policy. This research highlights workday population estimates, in conjunction with footfall camera and Wi-Fi sensors data as potentially valuable for building estimates of the ambient population.

• Item Type: Articles
• Additional Information: Funding: This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme, grant number 757455, the ESRC Training Grant, grant number ES/R501062/1 and the ESRC Alan Turing Fellowship, grant number ES/R007918/1.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Heppenstall, Professor Alison

Creator Roles

Heppenstall, A.: Supervision, Visualization, Writing – review and editing

• Authors: Whipp, A., Malleson, N., Ward, J., and Heppenstall, A.
• College/School: College of Social Sciences > School of Social and Political Sciences > Urban Studies
• Journal Name: ISPRS International Journal of Geo-Information
• Publisher: MDPI
• ISSN: 2220-9964
• ISSN (Online): 2220-9964
• Copyright Holders: Copyright © 2021 by the authors
• First Published: First published in ISPRS International Journal of Geo-Information 10(3):131
• Publisher Policy: Reproduced under a creative commons licence