小城市道路网的合理道路级配模型

陈学武; 刘飞; 胡启洲

小城市道路网的合理道路级配模型

东南大学交通规划与管理江苏省重点实验室，江苏南京 210096

基金项目:

国家973计划项目 2006CB705500

详细信息

作者简介:
陈学武(1968-), 女, 湖北罗田人, 东南大学教授, 工学博士, 从事交通运输规划与管理研究

中图分类号: U491.13
计量
- 文章访问数: 273
- HTML全文浏览量: 46
- PDF下载量: 569
- 被引次数: 0
出版历程
- 收稿日期: 2007-08-12
- 刊出日期: 2008-02-25

Appropriate road grade model of road network in small city

Key Laboratory of Transportation Planning and Management of Jiangsu Province, Southeast University, Nanjing 210096, Jiangsu, China

More Information

Author Bio:
Chen Xue-wu(1968-), female, PhD, professor, +86-25-83795643, chenxuewu@seu.edu.cn

摘要

摘要: 为了合理确定小城市道路网级配, 以城市道路资源的供给量最小为目标函数, 从小城市的道路等级、功能及其横断面形式入手, 以道路总里程、交通供需匹配关系、道路容量及道路面积需求等作为约束条件, 建立了小城市道路网的合理道路级配模型, 运用道路级配模型对上虞市道路网进行了分析。分析结果表明: 主干路、次干路与支路最优道路级配计算值为1.00∶1.56∶2.56, 实现了小城市道路资源的优化配置, 说明小城市道路网的合理道路级配模型是合理的。
- 交通规划 /
- 小城市 /
- 道路网 /
- 道路级配模型
Abstract: In order to determine the appropriate road grade in small city, the supply minimum of urban road resources was taken as objective function, the rank, function and cross section of urban road were considered, total road length, traffic supply-demand matching relationship, road capacity and road area supply were taken as constraints, a reasonable road grade model of road network in small city was put forward, and road network in Shangyu City was analyzed by using the model. Computation result shows that an optimal solution of road grade for main trunk road, secondary trunk road and branch road in the city is 1.00∶1.56∶2.56, which indicates the optimization of road network in the city, and the model is rational.
- traffic planning /
- small city /
- road network /
- road grade model

HTML全文

表 1 道路网密度

Table 1. Densities of road network

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表 2 道路功能划分

Table 2. Road function division

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表 3 各种道路横断面

Table 3. Cross sections of different roads

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表 4 折减系数

Table 4. Reduction coefficients

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表 5 道路容量

Table 5. Road capacities

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表 6 市内交通需求

Table 6. Incity traffic demand

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表 7 对外及过境交通需求

Table 7. External and passing traffic demand

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表 8 道路面积需求

Table 8. Road area demand

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参考文献(13)

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