吉林大学学报(工学版) ›› 2018, Vol. 48 ›› Issue (1): 336-343.doi: 10.13229/j.cnki.jdxbgxb20161224

• Orginal Article • Previous Articles     Next Articles

Visualized simulation analysis of open urban community model

LIN Zheng-song1, 2, DAI Qi-fan2, ZHANG Lu2, LIU Xuan2, TANG Chao3, BING He1, 2   

  1. 1.School of Environmental Studies,China University of Geosciences, Wuhan 430074, China;
    2.School of Arts Communication,China University of Geosciences, Wuhan 430074,China;
    3.School of Transportation, Southeast University, Nanjing 211102, China
  • Received:2016-11-06 Online:2018-02-26 Published:2018-02-26

Abstract: In this paper, a residential land (3.26 km2 approx) in Wuhan is taken as the planning area. Combined with on-site-collected resident trip volume and the matrix of traffic capability with the assistance of traffic simulation software Trans CAD, the equilibrium between traffic generation and attraction is predicted and analyzed, also the matrix of trip volume of the objective year (2020) is built and the traffic assigning parameter is acquired. The development intensity and concentration of units in communities and other factors are also included to conduct visual assessment. Results show that, first, the time spent in open communities is less and the waiting line is shorter than that in gated communities, so the cost will be reduced; and second, there is connection between the planning area and spatial units in communities. Adjacent units are positive correlated that communities near the junction in the southeast are highly aggregated and the resident trip volume is larger, while communities near the junction in the northwest are loosely gathered and resident trip volume is smaller. This means choosing roads in the northwest during peak time in the morning and evening is a feasible way to avoid traffic congestion. Aggregation of communities in the middle area is not obvious.

Key words: municipal engineering, open community, traffic congestion, Moran?s I, simulation technique, Wuhan city

CLC Number: 

  • TU984
[1] Wilens H A.Redesigning your city-a constructionist environment for urban planning education[J]. Informatics in Education, 2014 (13): 197-208.
[2] Kuffer M, Barrosb J.Urban morphology of unplanned settlements: the use of spatial metrics in VHR remotely sensed images[J]. Procedia Environmental Sciences, 2011,7:152-157.
[3] Mau Rahman.Coordination of urban planning organizations as a process of achieving effective and socially just planning: a case of Dhaka city, Bangladesh[J]. International Journal of Sustainable Built Environment, 2015,4(2): 330-340.
[4] 李培. 国外封闭社区发展的特征描述[J]. 国际城市规划, 2008,23(4): 110-114.
Li Pei.A depict on the characteristics of gated community[J]. Urban Planning Forum,2008,23(4): 110-114.
[5] 耿莎莎. 单位大院与封闭社区的主要空间特征对比与思考[J]. 山西建筑,2013(22):4-6.
Geng Sha-sha.The comparison and thinking of main space features of unit compound and closed community[J].Shanxi Architecture, 2013(22):4-6.
[6] 单皓. 二战后美国城市的发展[J]. 国外城市规划 2003, 27(6):72-80.
Shan Hao.The development and after World War II of American cities[J]. Planning Studies Overseas, 2003, 27(6):72-80.
[7] 刘铨. 德国高效城市道路系统分析[J]. 国外城市规划, 2006,21(2): 92-95.
Liu Quan.Effective urban roads system in Germany[J]. Urban Planning International, 2006, 21(2): 92-95.
[8] 宋彦,张纯. 美国新城市主义规划运动再审视[J]. 国际城市规划, 2013,28(1): 98-103.
Song Yan, Zhang Chun.Reflections on the new urbanism movement in the U.S.[J]. International Urban Planning, 2013, 28(1): 98-103.
[9] 宋伟轩. 封闭社区研究进展[J]. 城市规划学刊,2010(4):42-51.
Song Wei-xuan.A review on researches of the gated community[J].Urban Planning Forum, 2010(4):42-51.
[10] 郑卫. 中国古代城市规划制度变迁与城市意象模式转型[J].城市规划学刊,2009(1): 103-108.
Zheng Wei.The change of urban planning system and the transition city image in ancient China[J]. Urban Planning Forum,2009(1): 103-108.
[11] 庄贵阳. 因势利导循序渐进建好城市街区[N]. 人民日报,2016-05-22.
Zhuang Gui-yang.Building city blocks with make the best step by step[N].People?s Daily, 2016-05-22, 05 Page.
[12] 杨敏, 陈学武,王炜,等.基于人口和土地利用的城市新区交通生成预测模型[J]. 东南大学学报:自然科学版,2005,35(5): 161-165.
Yang Min, Chen Xue-wu, Wang Wei, et al.Trip generation forecasting model of new district based on urban population and land use[J]. Journal of Southeast University (Natural Science Edition), 2005,35(5):161-165.
[13] 赵淑芝, 赵贝. 多因素影响下的城市居民出行行为时间价值[J]. 吉林大学学报:工学版, 2011, 41(1):46-50.
Zhao Shu-zhi, Zhao Bei.Value of travel time of urban resident under multifactor influence[J]. Journal of Jilin University (Engineering and Technology Edition), 2011, 41(1):46-50.
[14] 周熙阳, 杨兆升, 张伟,等. 考虑干线协调控制的城市最优路径搜索算法[J]. 吉林大学学报:工学版, 2016, 46(6):1799-1806.
Zhou Xi-yang, Yang Zhao-sheng, Zhang Wei, et al.Urban shortest path searching algorithm considering control of arterial intersections[J]. Journal of Jilin University (Engineering and Technology Edition), 2016, 46(6):1799-1806.
[1] ZHANG Shui-chao|REN Gang|WANG Wei. Model of urban road traffic congestion degree analysis faced to traffic planning [J]. 吉林大学学报(工学版), 2009, 39(增刊2): 111-0115.
[2] DAI Lei-lei, JIANG Gui-yan,PEI Yu-long . Prediction of queue length at saturate signalized intersection [J]. 吉林大学学报(工学版), 2008, 38(06): 1287-1290.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!