<div class="csl-bib-body">
<div class="csl-entry">Wang, S., Cai, W., Sun, Q. C., Wu, C. Y. H., Huang, X., Giannopoulos, I., Alinaghi, N., & Liu, Z. (2025). Human-perceived vs actual built environment: Using human-centred GeoAI and street view images to support urban planning in Australia. <i>Journal of Environmental Management</i>, <i>389</i>, Article 126070. https://doi.org/10.1016/j.jenvman.2025.126070</div>
</div>
-
dc.identifier.issn
0301-4797
-
dc.identifier.uri
http://hdl.handle.net/20.500.12708/227032
-
dc.description.abstract
In alignment with the United Nations Sustainable Development Goals, the pursuit of safe and sustainable cities that promote well-being across all age groups has become a core objective in urban planning and environmental management. The built environment profoundly influences individuals' thoughts, emotions, and behaviors, underscoring the importance of understanding how people perceive their surroundings in relation to objectively measured urban form. Despite growing recognition of the role of perception in shaping urban experience, empirical assessments of the alignment between perceived and actual built environments remain limited. This study explores the relationship between subjective (human-perceived) and objective (measured) characteristics of the built environment through a pilot study conducted in the Melbourne metropolitan area. Using street-level imagery from the Mapillary platform and deep learning techniques, we quantify perceived built environment characteristics across the “5D” urban design dimensions: Density, Diversity, Design, Distance to transit, and Destination accessibility. These perceptions are then compared to objective spatial metrics to assess their alignment. Our analysis reveals that neighborhoods featuring compact urban form, high density, mixed land use, convenient service access, and abundant green space tend to be perceived as more livable and aesthetically appealing. However, this relationship weakens when density surpasses a threshold, leading to perceptions of overcrowding and reduced neighbourhood quality. The findings offer actionable, place-based evidence for urban planners and policymakers seeking to integrate human perceptions into planning frameworks. Additionally, the study's scalable methodology provides a foundation for developing a national database of perceived built environments in Australia, supporting broader applications in health, social equity, and environmental research.
en
dc.language.iso
en
-
dc.publisher
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
-
dc.relation.ispartof
Journal of Environmental Management
-
dc.subject
Human perceived built environment
en
dc.subject
Subjective built environment
en
dc.subject
Objective built environment
en
dc.subject
Urban planning
en
dc.subject
Environmental psychology
en
dc.subject
Street view image
en
dc.title
Human-perceived vs actual built environment: Using human-centred GeoAI and street view images to support urban planning in Australia
en
dc.type
Article
en
dc.type
Artikel
de
dc.contributor.affiliation
University of Southern California, United States of America (the)
-
dc.contributor.affiliation
RMIT University, Australia
-
dc.contributor.affiliation
RMIT University, Australia
-
dc.contributor.affiliation
Oklahoma State University, United States of America (the)