This article has been reviewed according to Science X's editorial process and policies. Editors have highlighted the following attributes while ensuring the content's credibility:

fact-checked

proofread

Researchers propose new method for large-scale urban building function mapping using web-based geospatial data

Researchers propose new method for large-scale urban building function mapping using web-based geospatial data
The spatial pattern of POIs density (i.e. the number of POIs in 500 m grids) collected from Google Maps (left) and OSM (right) in large (a), middle (b), and small (c) size cities. Credit: The authors

In a study published in Geo-spatial Information Science, a research group led by Yuyu Zhou from The University of Hong Kong developed an integrated framework that achieves 94% accuracy in mapping building functions across 50 U.S. cities using multi-source web-based geospatial data, offering potential for worldwide application.

The team utilized TripAdvisor.com and Google Maps as primary data sources taking advantage of their extensive coverage and dynamic updating features.

The research findings are promising. The proposed framework demonstrated an impressive average overall accuracy of 94% with a kappa coefficient of 0.63. While the study centered on U.S. cities, its potential for global application, especially in regions with data accessibility challenges, is immense.

Furthermore, as the digital footprint of cities grows, the researchers see opportunities to refine this approach. They recommend future endeavors to enhance mapping accuracy, especially in multi-functional buildings and in regions less covered by TripAdvisor.com and Google Maps. This research provides a powerful tool for city planners, policymakers, and researchers, hoping that the integrated framework becomes an essential asset in the global pursuit of sustainable, efficient, and inclusive urban spaces.

More information: Wei Chen et al, Large-scale urban building function mapping by integrating multi-source web-based geospatial data, Geo-spatial Information Science (2023). DOI: 10.1080/10095020.2023.2264342

Provided by Wuhan University
Citation: Researchers propose new method for large-scale urban building function mapping using web-based geospatial data (2023, November 30) retrieved 26 February 2024 from https://techxplore.com/news/2023-11-method-large-scale-urban-function-web-based.html
This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only.

Explore further

Scientists create framework to guide development and assessment of urban climate action plans

1 shares

Feedback to editors