城市交通2024,Vol.22Issue(6) :1-4.DOI:10.13813/j.cn11-5141/u.2024.0035

AI时代城市交通规划面临的挑战与技术变革

Challenges and Technological Transformations in Urban Transportation Planning in the Age of AI

杨超 陈明垟
城市交通2024,Vol.22Issue(6) :1-4.DOI:10.13813/j.cn11-5141/u.2024.0035

AI时代城市交通规划面临的挑战与技术变革

Challenges and Technological Transformations in Urban Transportation Planning in the Age of AI

杨超 1陈明垟1
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作者信息

  • 1. 同济大学城市交通研究院,道路与交通工程教育部重点实验室,上海 201804
  • 折叠

摘要

人工智能(AI)快速发展背景下,人口流动加剧、产业与就业模式重构以及空间利用方式多样化导致城市交通系统面临一系列深刻变革.随着AI技术的广泛应用,传统制造业中的大量就业岗位被自动化取代,服务业在互联网的推动下实现了跨区域服务,将显著影响就业人口的空间分布与流动性.同时,AI技术催生的知识密集型产业和创新人才的集聚效应对城市公共服务与交通需求提出了更高的要求.强调AI主导的技术变革面临工具理性与价值理性的冲突与平衡,并讨论在实现技术效率最大化的同时,如何确保社会公平和伦理价值.最后,探讨AI技术对传统交通规划流程的重塑,其预示着未来交通规划研究机构的组织形式和研究范式或将发生根本性变革.

Abstract

This paper examines the profound changes in urban transportation systems against the backdrop of rapid development of Artificial Intelligence(AI).Such changes are driven by the intensified population mobility,restructuring of industries and employment models,and diversified modes of spatial utilization.With the widespread application of AI technology,a significant number of jobs in traditional manufactur-ing are being replaced by automation,while the service sector,driven by the internet,is extending its reach across regions and has substantial impact on the spatial distribution and mobility of the workforce.Further-more,AI-driven knowledge-intensive industries and the concentration of innovative talent are placing high-er demand for urban public services and transportation needs.The paper underscores the conflict and bal-ance between instrumental rationality and value rationality in AI-led technological transformations,and dis-cusses how to maximize technical efficiency while ensuring social equity and ethical values.Finally,the paper explores AI's transformative impact on traditional transportation planning processes,suggesting that future organizational structures and research paradigms of transportation planning institutions may undergo fundamental changes.

关键词

人工智能/城市交通规划/产业变革/社会公平/行业范式转变

Key words

Artificial Intelligence/urban transportation planning/industrial transformation/social equity/industry paradigm transformation

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出版年

2024
城市交通
建设部城市交通工程技术中心 中国城市规划设计研究院

城市交通

CSTPCD
影响因子:1.037
ISSN:1672-5328
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