Food-delivery behavior under crowd sourcing mobility services

The rapid development of the online food-delivery industry, has led to not only increases in number crowd-sourced shared service drivers on our roads, but also growing urban traffic safety management concerns. This study investigates decision-making behaviors that exist between delivery drivers, their platform and potential impact safety. Using evolutionary game theory, stakeholder involving within industry were analyzed. From analysis, several behavioral influencers identified, including penalties for violations, opportunity cost complying with rules, costs associated risk strict approaches, reputation incentives, related being punished, probability compliance adopting a approach by platform. Our demonstrates stabilization strategies used food differ when types government control measures differ. When takes more aggressive regulation control, rules adoption enforcement are stability available platforms. As part strategy, appropriate compensation or incentive should be provided distribution Furthermore, fines given violations increased create safer road environment fewer accidents drivers. • review promotes management. discussed. concluded. Recommendations future provided.