Affiliations 

  • 1 Department of Urban Planning and Design, The University of Hong Kong, Hong Kong S. A. R., China
  • 2 Department of Geography and Environmental Management, University of the West of England, Bristol, United Kingdom
  • 3 GeoInformatic Unit, Geography Section, School of Humanities, Universiti Sains Malaysia, Gelugor, Penang, Malaysia
  • 4 Department of Geography, Hong Kong Baptist University, Hong Kong S. A. R., China
  • 5 Department of Civil and Environmental Engineering, Imperial College London, London, United Kingdom
  • 6 School of Environment and Sustainability, University of Saskatchewan, Saskatoon, Canada
  • 7 Eurasia Institute of Earth Science, Istanbul Technical University, Istanbul, Turkey
PLoS One, 2023;18(9):e0289780.
PMID: 37682889 DOI: 10.1371/journal.pone.0289780

Abstract

The importance of easy wayfinding in complex urban settings has been recognized in spatial planning. Empirical measurement and explicit representation of wayfinding, however, have been limited in deciding spatial configurations. Our study proposed and tested an approach to improving wayfinding by incorporating spatial analysis of urban forms in the Guangdong-Hong Kong-Macau Great Bay Area in China. Wayfinding was measured by an indicator of intelligibility using spatial design network analysis. Urban spatial configurations were quantified using landscape metrics to describe the spatial layouts of local climate zones (LCZs) as standardized urban forms. The statistical analysis demonstrated the significant associations between urban spatial configurations and wayfinding. These findings suggested, to improve wayfinding, 1) dispersing LCZ 1 (compact high-rise) and LCZ 2 (compact mid-rise) and 2) agglomerating LCZ 3 (compact low-rise), LCZ 5 (open mid-rise), LCZ 6 (open low-rise), and LCZ 9 (sparsely built). To our knowledge, this study is the first to incorporate the LCZ classification system into the wayfinding field, clearly providing empirically-supported solutions for dispersing and agglomerating spatial configurations. Our findings also provide insights for human-centered spatial planning by spatial co-development at local, urban, and regional levels.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.