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This study presents the first empirical analysis of Canalside bicycle commuting in Dubai, utilizing GPS-based behavioral data to investigate how infrastructure quality is associated with variations in urban cycling behavior in a car-oriented context. Using data from 166 recurring Careem BIKE users, Geographic Information System (GIS) analytics and cumulative distribution modeling were employed to explore relationships between commuting distance, route attributes, and access range. Results reveal an average commuting distance of 12 km, significantly exceeding international norms, suggesting that continuous, high-quality cycling corridors are associated with a longer practical commuting range among the observed user cohort. A strong positive correlation was observed … indicating a statistically significant association between safety, continuity, and slope uniformity and observed route choice patterns within this specific group of users, rather than demonstrating generalized or causal effects. The study further establishes functional access thresholds of 2.8 km from residential origins and 2.3 km from commercial destinations, highlighting structural disparities within Dubai’s urban form. Theoretically, this research contributes to urban mobility debates by suggesting how infrastructural quality is associated with variations in behavioral geography within emerging cycling environments, providing an empirically grounded application of established analytical approaches within a car-oriented, arid-city context to inform sustainable and multimodal transport planning, with environmental and modal-shift implications interpreted as conceptual extensions rather than directly quantified outcomes of this analysis.
Jung et al. (Fri,) studied this question.
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