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Using Building Floor Space for Station Area Population and Employment Estimation

1
School of Architecture, Shibaura Institute of Technology, Tokyo 135-8548, Japan
2
Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia, UTM Johor Bahru 81310, Johor, Malaysia
*
Author to whom correspondence should be addressed.
Urban Sci. 2019, 3(1), 12; https://doi.org/10.3390/urbansci3010012
Received: 5 December 2018 / Revised: 12 January 2019 / Accepted: 17 January 2019 / Published: 21 January 2019
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Abstract

Analyzing population and employment sizes at the local finer geographic scale of transit station areas offers valuable insights for cities in terms of developing better decision-making skills to support transit-oriented development. Commonly, the station area population and employment have been derived from census tract or even block data. Unfortunately, such detailed census data are hardly available and difficult to access in cities of developing countries. To address this problem, this paper explores an alternative technique in remote estimation of population and employment by using building floor space derived from an official administrative geographic information system (GIS) dataset. Based on the assumption that building floor space is a proxy to a number of residents and workers, we investigate to what extent they can be used for estimating the station area population and employment. To assess the model, we employ five station areas with heterogeneous environments in Tokyo as our empirical case study. The estimated population and employment are validated with the actual population and employment as reported in the census. The results indicate that building floor space, together with the city level aggregate information of building morphology, the density coefficient, demographic attributes, and real estate statistics, are able to generate a reasonable estimation. View Full-Text
Keywords: transit-oriented development; fine geographic space; developing country; geographic information system transit-oriented development; fine geographic space; developing country; geographic information system
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Teh, B.T.; Shinozaki, M.; Chau, L.W.; Ho, C.S. Using Building Floor Space for Station Area Population and Employment Estimation. Urban Sci. 2019, 3, 12.

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