Ethically Aligned Mobilization of Community Effort to Reposition Shared Bikes

Abstract

We consider the problem of mobilizing community effort to reposition indiscriminantly parked shared bikes in urban environments through crowdsourcing. We propose an ethically aligned incentive optimization approach WSLS which maximizes the rate of success for bike repositioning while minimizing cost and prioritizing users’ wellbeing. Realistic simulations based on a dataset from Singapore demonstrate that WSLS significantly outperforms existing approaches.

Repositioning Bikes with Carrier Vehicles and Bike Trailers in Bike Sharing Systems

“…There have been many approaches proposed to deal with bike sharing problems, which can be categorized into three aspects [1,[14][15][16], i.e., static repositioning using carrier vehicles, dynamic repositioning using carrier vehicles, and dynamic repositioning using bike trailers.…”

“…Despite the success of those approaches, bike trailers can only take a few bikes at once and the distance of movements is limited. To bridge this gap, Liu et al proposed an ethically aligned incentive optimization approach that maximizes the rate of success for bike repositioning while minimizing cost and prioritizing users' wellbeing [15]. Furthermore, Liu et al developed a meteorology similarity weighted k-nearest neighbor regressor to predict the station pickup demand based on large-scale historic trip records and proposed an interstation bike transition model to predict the station drop-off demand [18].…”