Bike Landscapes

Understanding the Shared Transportation of China with Massive Mobike Records

Shared transportation has been one of the essential components of shared cities. This paper aims to understand the universal laws governing the bike-sharing system using the massive ridership data from Mobike, one of the largest bike-sharing schemes in the world. The analysis is conducted at the intracity and intercity levels while considering the relationship between Mobike shared bikes and built-environment. The first component of this paper is to calculate the Mobike riding index (MRI), a way to measure the bike-friendliness of cities. After calculating the MRI, we further studied the nation-wide distribution of MRI in different analytical levels and investigated its patterns. Results show that at the street level, the weekday MRI distribution is analogous to that of the weekend’s; at the township level, highly scored townships are those close to the city center; at the city level, the MRI distributes unevenly, with high MRI cities staying along the southern coastline or the middle inland area, such as Shenzhen, Chengdu, and Wuhan.

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