Service Quality on Online Platforms: Empirical Evidence about Driving Quality at Uber

Online marketplaces have adopted new quality control mechanisms that can accommodate a flexible pool of providers. In the context of ride-hailing, we measure the effectiveness of these mechanisms, which include ratings, incentives, and behavioral nudges. Using telemetry data as an objective measure

在线市场已采用新型质量管控机制，可适配灵活的服务提供者群体。本研究以网约车出行场景为背景，评估包含评分体系、激励机制与行为助推（behavioral nudges）在内的此类机制的有效性，并以遥测数据（telemetry data）作为客观衡量标准。

搜集汇总

背景与挑战

背景概述

该数据集聚焦于在线平台（以Uber为例）的服务质量研究，通过实证分析探讨评分、激励和行为提示等质量控制机制的有效性，并利用遥测数据作为客观衡量标准来评估驾驶质量。