Abstract
Cycling records from emerging dockless bike-sharing services provide new opportunities to gain insight into the interactions between multiple fine-scale cycling characteristics and built environmental elements. Using Beijing as an example and the street as the analytic unit, this study examined the associations between three cycling characteristics and spatial visual elements while controlling for other built environmental features. The results showed that most visual elements were significantly associated with cycling characteristics, but their performance differs across models for trip distance, speed, and volume. The results also indicated that individuals riding long distances or at fast speeds preferred streets with more sky and greenery views. Likewise, wider streets with less spatial disorder, tended to have a higher riding volume. The findings can enhance the understanding of cycling behaviors and promote the implementation of urban design for more bikeable streets.
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This work was supported by the National Natural Science Foundation of China grant number 52178044 and the UNSW-TSINGHUA UNIVERSITY Collaborative Research Fund RG180121.
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Zhang, E., Hsu, W., Long, Y., Hawken, S. (2023). Understanding Bikeability: Insight into the Cycling-City Relationship Using Massive Dockless Bike-Sharing Records in Beijing. In: Goodspeed, R., Sengupta, R., Kyttä, M., Pettit, C. (eds) Intelligence for Future Cities. CUPUM 2023. The Urban Book Series. Springer, Cham. https://doi.org/10.1007/978-3-031-31746-0_7
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