2008/01/01 by Shuo-sheng Wu, Le Wang, Xiaomin Qiu · 1 citation
Environmental Science · Social Sciences · #Human Mobility and Location-Based Analysis #Impact of Light on Environment and Health #Land Use and Ecosystem Services
paper · doi:10.1080/00330120701724251
crossref issued 2008/01/01 · crossref published 2008/01/01 · crossref published-print 2008/01/01 · openalex publication_date 2008/01/01 · crossref created 2008/01/18 · crossref deposited 2023/05/15 · openalex created_date 2025/10/10 · crossref indexed 2026/07/27 · openalex updated_date 2026/08/01
This article presents a deterministic model for sub-block-level population estimation based on the total building volumes derived from geographic information system (GIS) building data and three census block-level housing statistics. To assess the model, we generated artificial blocks by aggregating census block areas and calculating the respective housing statistics. We then applied the model to estimate populations for sub-artificial-block areas and assessed the estimates with census populations of the areas. Our analyses indicate that the average percent error of population estimation for sub-artificial-block areas is comparable to those for sub-census-block areas of the same size relative to associated blocks. The smaller the sub-block-level areas, the higher the population estimation errors. For example, the average percent error for residential areas is approximately 0.11 percent for 100 percent block areas and 35 percent for 5 percent block areas.