Innovation in Urban Spatial Governance Under the Background of Smart Transportation
智慧交通背景下城市空间治理创新

摘要

智慧交通正在改变城市空间治理的数据基础、决策方式和实施机制。本文从交通流与城市空间互动关 系出发，分析数据壁垒、规划脱节、平台治理及算法风险等问题，提出“动态感知—空间诊断—协同决策— 场景实施—反馈评估”的治理框架。研究认为，应利用多源交通数据识别功能联系和服务短板，推动交通、 土地利用与公共设施协同配置，并通过政府、企业和公众共同参与以及数据确权、算法审计和综合绩效评价， 提高城市空间治理的精准性、公平性与韧性。

Abstract

 Smart transportation is changing the data foundation, decision-making methods, and implementation mechanisms of urban spatial governance. Starting from the interactive relationship between traffic flows and urban space, this paper analyzes problems such as data barriers, disconnection between planning and implementation, platform governance, and algorithmic risks, and proposes a governance framework of “dynamic perception–spatial diagnosis–collaborative decision-making–scenario implementation–feedback evaluation.” The study suggests that multi-source traffic data should be used to identify functional connections and service shortcomings, promote the coordinated allocation of transportation, land use, and public facilities, and improve the precision, fairness, and resilience of urban spatial governance through the joint participation of government, enterprises, and the public, as well as data rights confirmation, algorithm auditing, and comprehensive performance evaluation.