Analysis of Road Network Pattern Considering Population Distribution and Central Business District

被引:15
|
作者
Zhao, Fangxia [1 ,2 ]
Sun, Huijun [1 ]
Wu, Jianjun [1 ]
Gao, Ziyou [2 ]
Liu, Ronghui [3 ]
机构
[1] Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing, Peoples R China
[2] Beijing Jiaotong Univ, Sch Traff & Transportat, Beijing, Peoples R China
[3] Univ Leeds, Inst Transport Studies, Leeds LS2 9JT, W Yorkshire, England
来源
PLOS ONE | 2016年 / 11卷 / 03期
基金
美国国家科学基金会;
关键词
RELATIVE NEIGHBORHOOD GRAPH; DESIGN PROBLEM; TRANSPORTATION; MODELS; EQUILIBRIUM; DENSITY;
D O I
10.1371/journal.pone.0151676
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
This paper proposes a road network growing model with the consideration of population distribution and central business district (CBD) attraction. In the model, the relative neighborhood graph (RNG) is introduced as the connection mechanism to capture the characteristics of road network topology. The simulation experiment is set up to illustrate the effects of population distribution and CBD attraction on the characteristics of road network. Moreover, several topological attributes of road network is evaluated by using coverage, circuitness, treeness and total length in the experiment. Finally, the suggested model is verified in the simulation of China and Beijing Highway networks.
引用
收藏
页数:17
相关论文
共 50 条
  • [41] Population evacuation analysis: considering dynamic population vulnerability distribution and disaster information dissemination
    Nan Zhang
    Hong Huang
    Boni Su
    Hui Zhang
    [J]. Natural Hazards, 2013, 69 : 1629 - 1646
  • [42] Business Communication Demands and Analysis of Bandwidth Calculation in Distribution Network
    Song, Yanbin
    Jin, Dan
    Zhang, Qiang
    Liu, Guangxu
    [J]. 2016 2ND IEEE INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATIONS (ICCC), 2016, : 2980 - 2984
  • [43] Spatial Pattern and Regional Relevance Analysis of the Maritime Silk Road Shipping Network
    Mou, Naixia
    Liu, Caixia
    Zhang, Lingxian
    Fu, Xin
    Xie, Yichun
    Li, Yong
    Peng, Peng
    [J]. SUSTAINABILITY, 2018, 10 (04)
  • [44] Pattern and Burden of Road Traffic Accidents in Tertiary Care Public Hospital, District Central, Karachi from 2016 to 2018
    Mughal, Rehan Ahmed
    Hydrie, Muhammad Zafar Iqbal
    Islam, Sana Adeeba
    Jafry, Syed Imtiaz Ali
    Shaikh, Munir Ahmed
    Naqvi, Syed Muhammad Zulfiqar Hyder
    [J]. ANNALS ABBASI SHAHEED HOSPITAL & KARACHI MEDICAL & DENTAL COLLEGE, 2021, 26 (01): : 272 - 279
  • [45] Road Network Vulnerability Analysis: Case Study Considering Travel Demand and Accessibility Changes
    Gecchele, Gregorio
    Ceccato, Riccardo
    Gastaldi, Massimiliano
    [J]. JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS, 2019, 145 (07)
  • [46] Road network risk analysis considering people flow under ordinary and evacuation situations
    Sasabe, Masahiro
    Fujii, Kodai
    Kasahara, Shoji
    [J]. ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE, 2020, 47 (05) : 759 - 774
  • [47] An Analysis Method on Post-earthquake Traversability of Road Network Considering Building Collapse
    Xu, Z.
    Jin, W.
    Zheng, M.
    [J]. INTERNATIONAL JOURNAL OF ENGINEERING, 2019, 32 (11): : 1584 - 1590
  • [48] Optimal Allocation and Operating Point of DG Units in Radial Distribution Network Considering Load Pattern
    Hadavi, Sajjad
    Zoghi, Ali
    Vahidi, Behrooz
    Gharehpetian, Gevork B.
    Hosseinian, Seyed Hossein
    [J]. ELECTRIC POWER COMPONENTS AND SYSTEMS, 2017, 45 (12) : 1287 - 1297
  • [49] Vulnerability analysis of an urban gas pipeline network considering pipeline-road dependency
    Liu, Kai
    Wang, Ming
    Zhu, Weihua
    Wu, Jinshan
    Yan, Xiaoyong
    [J]. INTERNATIONAL JOURNAL OF CRITICAL INFRASTRUCTURE PROTECTION, 2018, 23 : 79 - 89
  • [50] Reliability Analysis of Distribution Network Considering Impact of Market Transaction in Microgrid
    Chen, Biyun
    Zhou, Hengwang
    Li, Bin
    [J]. Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2019, 43 (18): : 43 - 50