Digitizing Highways:Unleashing Potential Through Data Element Circulation for Safety,Cost Efficiency,and Environmental Impact Optimization  

作　　者：Yanyan JIA Wen LONG Yingjie TIAN 

机构地区：[1]School of Economics and Management,University of Chinese Academy of Sciences,Beijing 100190,China [2]Research Center on Fictitious Economy and Data Science,Chinese Academy of Sciences,Beijing 100190,China [3]Key Laboratory of Big Data Mining and Knowledge Management,Chinese Academy of Sciences,Beijing 100190,China

出　　处：《Journal of Systems Science and Information》2025年第1期23-60,共38页系统科学与信息学报(英文)

基　　金：Supported by the National Natural Science Foundation of China(72471223,72231010)。

摘　　要：As the era of large-scale highway maintenance arrives,the maintenance strategies have transitioned to a holistic approach that prioritizes safety,economic feasibility,and environmental sustainability.This research introduces a multi-objective optimization model for highway maintenance that incorporates the interplay of decision-maker preferences across three key objectives:Highway safety performance,maintenance engineering cost,and carbon emissions.This study employs a large-sample data analysis on a subset of the Lianhuo Highway network,which includes 2,842 pavement sections.This approach mitigates the impact of outliers,ensuring a substantial data buffer that fortifies the model’s capacity for generalization and bolsters its robustness.The findings reveal a Pareto-optimal relationship among the three scrutinized variables.A particularly noteworthy observation is the M-shaped trajectory of carbon emissions,which initially rise,then decline,and ultimately rebound,contingent upon the selected maintenance strategy.Furthermore,an examination of the relationship between maintenance costs and safety performance discloses a trend of diminishing marginal returns,illustrating that the incremental gains in safety performance attenuate as maintenance investment escalates.

关 键 词：data element CIRCULATION highway maintenance multi-objective optimization 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]