Gender differences in spatio-temporal dynamics
Visualizing bike-sharing mobility patterns in New York City
Bibliographic Data
| ID | 21247229 |
|---|---|
| Authors | Guiyu Chen (Urban Governance and Design Thrust, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China), Chaosu Li (0000-0002-1146-2361, Hong Kong University of Science and Technology, corresponding author) |
| Year | 2024 |
| Volume | 51 |
| Issue | 7 |
| Pages | 1715-1718 |
| Publication date | 2024-09-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environment and Planning B Urban Analytics and City Science (JOURNAL) |
| Journal identifiers | ISSN: 2399-8083 • E-ISSN: 2399-8091 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/23998083241258521 |
| OpenAlex | W4399325738 |
| Language | EN |
| References cited | 5 |
Urban spaces distinctly modulate the mobility patterns of men and women, with new mobility modes manifesting gender differences. In this study, by visualizing bike-sharing mobility patterns in New York City, we reveal significant disparities in cycling usage between males and females. During weekdays, the findings highlight a pattern of male dominance in most areas, particularly in business districts. In some recreational and residential areas, routes with higher proportions of female cyclists are observed. Additionally, weekends experience a surge in the proportion of female cyclists, predominantly in leisure-oriented locations. These findings highlighted the need for urban planning to account for gender differences across space and time to meet diverse mobility needs
Bike sharing · Economic geography · Geography · Transport engineering · Computer Science · Engineering · Human Mobility and Location-Based Analysis · Psychology · Transportation and Mobility Innovations · Urban Transport and Accessibility
| Highly cited | No |
|---|