Abstract

Accessibility is an important factor in measuring the recreational development potential of Wuhan lakeside areas where people like bike-sharing services for leisure. By using bike-sharing big data, this paper visualizes the spatiotemporal distribution characteristics and depicts the free flows of OD (Original Points and Destination Points) points of the bike-sharing activities taking place within 4 km of 21 lakes in the Wuhan Third Ring Road on an important holiday. Based on these distribution laws, statistics and spatial measurement are used to measure and compare the theoretical accessibility and actual accessibility of these lakeside areas at different grid scales in order to estimate the recreational development potential and explore the causes and possible suggestions behind the recreational potential. Results show that Ziyang Lake, Shai Lake, and South Lake have great recreational potential in improving their accessibility, whereas the Hankou lake dense area has a saturated recreational development potential due to its high accessibility characteristics. The differences in the water environment, surrounding road traffic conditions, and construction situations in these lakes influence their accessibility. Some differences are also observed between the actual and theoretical accessibility of most of these lakes, and there is a long way to go for real improvement of their recreational development potential. To better exploit the recreational development potential, improving the accessibility of these lakes remains an important issue that needs to be addressed as soon as possible.

Highlights

  • Urban lakes play important roles in conserving water, mitigating the heat island effect, and providing recreation to urban residents, as well as in urban modernization and sustainability [1,2,3,4]

  • Lakeside areas play an important role in urban sustainability and citizen’s well-being

  • Large differences can still be observed in the recreational development potential of lakes that are frequently visited by people, and cycling activities are conducive to discovering the potential of these lakes

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Summary

Introduction

Urban lakes play important roles in conserving water, mitigating the heat island effect, and providing recreation to urban residents, as well as in urban modernization and sustainability [1,2,3,4]. The spatial–temporal bike-sharing data are full and perfect and have been widely used in examining human behavior These data have been used to determine the peak usage of bike-sharing services in a day [24] and travel duration [25]. In areas with poor public transportation, bike sharing plays the role of a connector that solves the “first kilometer” and “last mile” problems [32]. These studies are mainly based on big data, which are less constrained by time and space and have strong representativeness. The leisure activities of people are supported by a limited amount of evidence

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