主客观组合赋权法导向的智慧城市道路效果评价研究——以上海某隧道为例
Evaluation of the Effectiveness of Urban Smart Road Based on Subjective and Objective Weighting Method—A Case Study of Tunnel in Shanghai

作为智慧城市的关键组成部分，许多国家和地区都开展了智慧城市道路的建设工作，当前智慧城市道路建设陷入“重建设、轻评价”的困境，对于智慧化建设的效果缺乏证明其实际价值的科学依据。本文旨在构建一个基于主客观组合赋权法的智慧道路评价体系，以实现对建设效果的量化评估，为优化管理提供科学依据。本研究在梳理国内外智慧道路研究成果及实际需求基础上，构建智慧城市道路效果评价指标体系，同时采用基于AHP (层次分析法)和熵值法的主客观组合赋权法确定评价指标权重，并以上海某隧道为例，对其智慧化提升效果进行实证分析，验证所构建指标体系的落地性和可测性。结果表明，该隧道在智慧城市道路效果评价中得分较优，综合反映了其在智慧化管理、服务和运行方面的总体表现较好，显示出其在提供准确位置信息和丰富出行相关信息方面的有效性。研究结果可用于支持智慧城市道路能力评估，为城市道路的智能化升级提供科学依据，助力管理者优化决策。
As a key component of smart cities, many countries and regions have carried out the construction of smart city roads. Currently, the construction of smart city roads is trapped in the dilemma of “heavy construction, light evaluation”, and there is a lack of scientific basis to prove its actual value for the effectiveness of smart construction. This paper aims to construct a smart road evaluation system based on the combination of subjective and objective weighting methods, in order to achieve quantitative evaluation of construction effects and provide scientific basis for optimizing management. On the basis of reviewing the research results and practical needs of smart roads at home and abroad, the paper constructs an evaluation index system for the effectiveness of smart city roads. At the same time, a subjective and objective combination weighting method based on AHP (Analytic Hierarchy Process) and entropy method is used to determine the weights of evaluation indicators. Taking a tunnel in Shanghai as an example, the intelligent improvement effect is empirically analyzed to verify the practicality and measurability of the constructed index system. The results indicate that the tunnel scores well in the evaluation of smart city road effects, reflecting its overall good performance in intelligent management, service, and operation, demonstrating its effectiveness in providing accurate location information and enriching travel related information. The research results can be used to support the evaluation of road capacity in smart cities, provide scientific basis for the intelligent upgrading of urban roads, and assist managers in optimizing decision-making.