Analysis of the Choice Behaviour towards Docked and Dockless Shared Bicycles based on User Experience

Abstract

The major cities of China have experienced massive growth in the number and usage of dockless shared bicycle systems, such as Mobike and Ofo, which have replaced the traditional docked bicycle systems that are heavily regulated by local governments. However, docked bicycle systems are still in operation, especially in small and medium-sized cities that have docked shared bicycle systems run by the local government. This study aims to reveal the user choice behaviours for these two shared bicycle systems from the perspective of user experience and to find win-win strategies for the two systems, based on a case study of the Shunde district in Foshan city. The structural equation model and binary logit model are employed to identify the impact factors of the choice behaviours. It is found that user experience plays a key role in the use intention for two kinds of bicycles, including factors such as convenience, riding experience, and level of service. Age is the most important indicator distinguishing the user groups, as older people prefer docked bicycles while younger people prefer dockless ones. Docked and dockless shared bicycle systems operate together harmoniously in Shunde as they satisfy the demands of different user groups with little overlap. It is suggested that a new shared bicycle system, which combines the advantages of both docked and dockless shared bicycles, would be a better solution for small and mid-size cities.

A comparison in travel patterns and determinants of user demand between docked and dockless bike-sharing systems using multi-sourced data

“…This positive effect is most evident in the northern and southern suburban. Both docked and dockless bike-sharing play important roles in integrating with public transport, especially for commuting purpose on weekdays in suburban areas (Li et al, 2019b;Ma et al, 2018a;Yang et al, 2016). Because of the popularity of dockless bike-sharing, many people who ignored docked bike-sharing before gradually start to accept docked bike-sharing.…”

A seemingly unrelated regression model of the impact of COVID-19 risk perception on urban leisure place choices

“…Previous research has demonstrated the impact of risk perception on people's decision and behavior (Li & Tang, 2019;Reisinger & Mavondo, 2005). The destination choice behavior is also related to risk perception (Han et al, 2020;Sinha & Nair, 2021).…”

Determining the Optimum Service Area and Station Location for Personal Mobility Sharing Services

“…Their study indicated that underperforming stations had emerged in the case of Seoul City as a result of the indiscriminate deployment of stations in the early stages of introducing shared bicycles. Lin and Yang (2011) and Chen et al (2015) also argued that station location decisions are key to the success of shared services. Therefore, it can be seen that for PMS to succeed, it is very important to find the station locations and service areas considering the demand.…”