支持提前输入目的地 在交通强国战略引领下，深圳市持续推动交通运输高质量发展。为赋能巡游出租车行业，提升服务效能 与市民满意度，深圳市城市交通规划设计研究中心股份有限公司(深城交（301091）)在市交通运输局指 导下，联合西湖、巴士集团等企业，成功打造并上线全国首个出租车垂直领域智慧出行平台——"SZ坐 出租"。 该平台深度融合大数据、云计算、AI等技术，基于深城交TransPaaS平台，重构传统巡游出租车服务生 态。平台创新实现扬招订单数字化，乘客通过小程序即可完成服务评价、失物查找、电子发票开具等操 作，并支持提前输入目的地。此举有效解决了传统扬招模式下乘客无法查看轨迹、分享行程、发送目的 地、在线评价及投诉反馈慢等痛点，带来便捷智能的乘车体验。 平台将接入全市2.2万台巡游出租车，以"巡网协同、场景智配、服务升级"为核心，开创"线上+巡游+场 景化"的创新服务模式，针对行业痛点精准发力。 实用功能集成"司乘同显""失物招领""服务评价"核心功能。"司乘同显"实现目的地、路线、预计到达时 间等信息同步可视，提升行程透明度；"失物招领"依托智能识别与云端联动，提高找回效率；"服务评 价"建立乘客评分与企业监 ...

Core Insights - Shenzhen is advancing high-quality development in transportation under the national strategy, launching the first smart taxi platform "SZ坐出租" to enhance service efficiency and citizen satisfaction [1][2] - The platform integrates big data, cloud computing, and AI technologies to transform the traditional taxi service ecosystem, addressing pain points such as order tracking and feedback [1][2] Company Overview - Shenzhen Urban Transportation Planning and Design Research Center Co., Ltd. (深城交) is leading the initiative in collaboration with other enterprises like Xihu and Bus Group [1] - The platform will connect 22,000 taxis in the city, focusing on "online + cruising + scenario-based" service innovation [1][2] Technological Integration - Key features include "Driver-Passenger Display," "Lost and Found," and "Service Evaluation," enhancing trip transparency and efficiency in lost item recovery [2] - The platform aims to create a smart scheduling system by analyzing passenger flow data in real-time, improving operational efficiency [2] Future Developments - The platform plans to deepen "smart + scenario" collaboration, offering real-time traffic conditions and passenger flow predictions to enhance operational efficiency [2] - It will introduce specialized services like "Party Car Pioneer" and "Love Assistance for the Elderly" to meet specific needs and respond flexibly to temporary scenarios [2] Industry Impact - "SZ坐出租" aims to empower the traditional taxi industry through technology, addressing service efficiency and supply-demand matching issues [2] - The initiative is expected to accelerate the transformation of urban transportation services towards refinement, intelligence, and quality [2]