Urbanie & Urbanus

Gender Sensitivity in Urban Design: Strategies for More Inclusive Pedestrian Spaces in Tseung Kwan O, Hong Kong

Wen Jing Zhu

Master of Science in Urban Design, The Chinese University of Hong Kong

and  Sylvia Man Ha Chan

Adjunct Associate Professor, The Chinese University of Hong Kong

and  Jeroen van Ameijde

Assistant Professor and Director of the MSc in Urban Design programme at the School of Architecture, The Chinese University of Hong Kong

Figures

Figure 1. The location of Tseung Kwan O as part of Hong Kong’s New Towns (source: Author, adapted from Planning Department, 2022).


Figure 2. Selected study area in the Tseung Kwan O town centre (source: Author)


Figure 3. (a) non-separate non-service sidewalk; (b) non-separate service sidewalk; (c) separate service sidewalk; (d) separate non-service sidewalk (source: Author).


Figure 4. Scree Plot (Male): Principal component results for 26 interpretable satisfaction indicators extracted from male data (source: Author).


Figure 5. Scree Plot (Female): Principal component results for 26 interpretable satisfaction indicators extracted from female data (source: Author).


Figure 6. Pearson correlation patterns among original variables (source: Author).


Figure 7. Original condition of Po Yap Rd (before) and improved situation (after) (source: Google Maps / Author).


Figure 8. Design guidelines for gender-sensitive pedestrian spaces (source: Author).


Table 1. Indicators and references, Source: Author, based on various literature.


Table 2. Features of the four pedestrian paths


Table 3. Student’s t-test for the pedestrians’ perceptions in different gender


Table 4. Pearson correlation matrix of factors (Male respondents).


Table 5. Pearson correlation matrix of factors (Female respondents).


Appendix Table 1. Characteristics of the sample



Appendix Table 2. Statistics about pedestrians’ satisfaction (average values of evaluation rates)


Appendix Table 3. The PCA analysis loading of male psychological elements and street factors



Appendix Table 4. The PCA analysis loading of female psychological elements and street factors