Work

Estimates of the Ambient Population: Assessing the Utility of Conventional and Novel Data Sources

Year: 2021

Type: article

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.

Source: ISPRS International Journal of Geo-Information

DOI: 10.3390/ijgi10030131

Authors: Annabel Whipp, Nicolas Malleson, Jonathan Ward, Alison Heppenstall

Institutions: University of Leeds, The Alan Turing Institute

Language: English

Topic: Human Mobility and Location-Based Analysis

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

SDG: Sustainable cities and communities

Open Access status: gold

Estimated APC paid: $1,512