Discussion on Driver Behavior Norms and Platform Optimization Paths for Ride-Hailing Services from the Perspective of Destination Discrimination
Main Article Content
Keywords
destination discrimination, ride-hailing drivers, algorithm control, behavioral norms, platform optimization, algorithmic justice
Abstract
Ride-hailing services have now become an important mode of urban transportation. However, frequent occurrences of drivers selectively accepting orders or refusing passengers based on the attractiveness of the destination have led to “destination discrimination,” which infringes on passengers’ rights and hinders the healthy development of the industry. Based on labor process theory and the social construction perspective of algorithmic discrimination, this paper integrates existing empirical research on platform labor control to analyze the generation logic, social impact, and governance path of destination discrimination. It extends research on algorithmic discrimination from the price dimension to the spatial dimension, proposes the concept of “destination discrimination,” and constructs a dual governance framework of “driver behavior norms + platform algorithm optimization.” Destination discrimination is the result of the combined effects of platform algorithm logic and drivers’ cost rationality. It requires coordinated governance through strengthening drivers’ professional ethics, establishing compensation and incentive mechanisms, improving algorithm transparency, and reconstructing the evaluation system to promote the development of the platform economy towards fairness and justice.
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