Evaluation of Road Network Density Based on Structure, Efficiency, Fairness and Resilience

被引：0
|
作者：
Deng M.-Y. [1 ]
Deng C.-F. [2 ]
机构：
[1] Gangzhou Municipal Planning and Natural Resources Bureau, Guangzhou
[2] College of Design and Engineering, National University of Singapore, Kent Ridge
来源：
Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology | 2023年 / 23卷 / 06期
关键词：
CRITIC weighting method; fairness of road network; road network density; road network efficiency; road network resilience; urban traffic;
D O I：
10.16097/j.cnki.1009-6744.2023.06.003
中图分类号：
学科分类号：
摘要：
Road network density serves as a critical indicator reflecting the state of transportation and urban development. It plays a pivotal role in territorial spatial planning and urban assessment. However, in practical planning, the evaluation of road network density often relies on recommended specifications or benchmarks from advanced international cities, lacking quantitative standards and methods. This study first identifies four fundamental dimensions for evaluating road network density: road network structure, road network efficiency, road network fairness, and road network resilience. A comprehensive road network density evaluation system is established that comprises 10 distinct indicators based on these four dimensions. In response to the challenge of determining weights for these multi-dimensional and multi-indicator dimensions, an enhanced CRITIC weighting method is employed to categorize and assign weights to the constructed indicator system. The final comprehensive evaluation result is obtained by solving the first and second level weights. Taking the Pearl River New Town Financial City area in Tianhe District of Guangzhou as a case study, we create three typical road network density development models and construct a road network model for quantitative evaluation and comparative analysis using the developed evaluation system. The results indicate that efficiency and fairness indicators carry the highest weight in the road network evaluation of the CBD area. Simultaneously, the dimensional assessment reveals that excessively high road network density can hinder efficiency. As road network density increases to a certain point, the improvements in road network structure and resilience show a diminishing trend. Consequently, there exists an optimal road network density for CBD areas, as opposed to a 'more is better' network. This multi- dimensional indicator system overcomes the limitations of a single evaluation metric and enables a comprehensive assessment of road networks in various functional areas. © 2023 Science Press. All rights reserved.
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页码：22 / 32
页数：10
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