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Systematic framework for sustainable urban road alignment planning
Transportation Research Part D: Transport and Environment ( IF 7.6 ) Pub Date : 2023-05-30 , DOI: 10.1016/j.trd.2023.103796
Feng Jiang , Ling Ma , Tim Broyd , Junda Li , Jing Jia , Hanbin Luo

Sustainable urban road alignment planning should provide functional, economical, people-friendly, and eco-friendly schemes to meet traffic-related demands and promote social development. However, how to realise it is unclear. This research systematically develops a framework for it from the perspective of factors that should be considered, digitalisation and parsing methods, factor evaluation, and road alignment generation based on a systematic literature review, two rounds of questionnaire surveys using the Delphi method, three focus groups, and questionnaire surveys for multi-criteria decision making (MCDM). The considered factors are determined, including traffic, development, cost, social, environmental, and engineering factors. Several digitalisation and parsing methods for the factors are proposed, including direct assignment methods, spatial analysis methods, complex professional analysis methods, and other methods. The MCDM-GIS (geographic information system) method using the least-cost wide path analysis is suggested for road alignment generation. The importance of the factors is evaluated by the experts using MCDM.



中文翻译:

可持续城市道路线形规划的系统框架

可持续的城市道路线形规划应提供功能性、经济性、人性化和生态友好性的方案,以满足交通相关需求,促进社会发展。然而,如何实现它还不清楚。本研究基于系统的文献回顾、使用德尔菲法的两轮问卷调查、三个焦点小组,从应考虑的因素、数字化和解析方法、因素评估和道路线形生成的角度系统地开发了一个框架。和用于多标准决策 (MCDM) 的问卷调查。确定考虑的因素,包括交通、发展、成本、社会、环境和工程因素。提出了几种因子的数字化和解析方法,包括直接分配方法,空间分析方法、复杂专业分析方法等方法。建议使用最小成本宽路径分析的 MCDM-GIS(地理信息系统)方法生成道路线形。这些因素的重要性由专家使用 MCDM 进行评估。

更新日期:2023-05-31
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