基于DPSIR模型的济南市智慧交通实施现状及优化策略研究

Research on the Current Situation and Optimization Strategies of Intelligent Transportation in Jinan Based on the DPSIR Model

摘要: 随着城市化进程的加速，交通拥堵与环境污染已成为济南市亟待解决的重大问题。本文以济南市的交通现状为基础，借助问卷对济南市智慧交通实施情况进行调查，构建济南市智慧交通DPSIR模型概念框架，从驱动、压力、状态、影响、响应五个方面对济南市当前智慧交通管理进行系统分析。研究发现，济南市智慧交通存在通勤需求集中且多样化、交通拥堵严重、智慧交通系统稳定性差、公众对智慧交通系统的认知程度较低、公共交通发展不均衡、数据共享机制不健全等问题。针对这些问题，提出了提高公共交通效率、提高智慧交通系统稳定性以及数据准确性、均衡发展公共交通系统、加大智慧交通设施投入等优化建议。旨在通过智能化手段提升城市交通管理水平，促进济南市交通系统的发展。

Abstract: With the acceleration of urbanization, traffic congestion and environmental pollution have become significant issues that need to be addressed in Jinan. Based on the current traffic situation in Jinan, this paper investigates the implementation of intelligent transportation in the city through a questionnaire survey. It constructs a conceptual framework for the DPSIR model of intelligent transportation in Jinan, and conducts a systematic analysis of the current intelligent transportation management in the city from five aspects: driving forces, pressures, state, impacts, and responses. The study finds that the issues in Jinan’s intelligent transportation system include concentrated and diversified commuting demands, severe traffic congestion, poor stability of the intelligent transportation system, low public awareness of the system, unbalanced development of public transportation, and inadequate data-sharing mechanisms. To address these issues, the paper proposes optimization strategies such as improving public transportation efficiency, enhancing the stability and data accuracy of intelligent transportation systems, balancing the development of public transportation, and increasing investment in intelligent transportation infrastructure. The goal is to improve urban traffic management through intelligent methods and promote the development of Jinan’s traffic system.