Fuzzy Performance Evaluation Model Based on Lowering Social Losses  
Author Kuen-Suan Chen

 
Co-Author(s) Chun-Min Yu

 
Abstract With the gradual popularization and maturity of the Internet of Things, a variety of smart APPs have
sprung up like mushrooms. Smart transportation APPs facilitate public carpooling and breed efficient shared transportation. In the network of urban shared transportation, after passengers get off the bus at the stop, bicyclesharing can be said to help them solve the pain point of the last mile as well as solve the problem that the subway and bus network nodes (stops) cannot cover. When the shared bicycles break down due to broken tires, dropped chains, brake failure or other factors, passengers’ transfers and bike operators’ maintenance will cause social losses, such as economic and environmental losses. Obviously, enhancing the quality and reliability of the shared bicycles in cities to reduce the failure rate of bicycles can be said to be the key factor in reducing these social losses. In view of this, this paper developed a complete fuzzy performance evaluation and management model of urban bicycle-sharing
operation based on the consideration of lowering the bicycle failure rate and the losses caused by it, so as to level up its operational performance as well as diminish various social losses.

 
Keywords Internet of Things, shared transportation, urban bicycling-sharing, social losses, fuzzy performance evaluation
   
    Article #:  DSBFI23-9
 
Proceedings of 2nd ISSAT International Conference on Data Science in Business, Finance and Industry
January 8-10, 2023 - Da Nang, Vietnam