Modeling the Effects of Low-carbon Emission Constraints on Mode and Route Choices in Transportation Networks

被引:12
|
作者
Zhang, Xin [1 ]
Liu, Pan [1 ]
Li, Zhibin [1 ]
Yu, Hao [1 ]
机构
[1] Southeast Univ, Sch Transportat, Nanjing 210096, Jiangsu, Peoples R China
来源
INTELLIGENT AND INTEGRATED SUSTAINABLE MULTIMODAL TRANSPORTATION SYSTEMS PROCEEDINGS FROM THE 13TH COTA INTERNATIONAL CONFERENCE OF TRANSPORTATION PROFESSIONALS (CICTP2013) | 2013年 / 96卷
关键词
urban traffic; public transit; low-carbon emission constraints; travel mode;
D O I
10.1016/j.sbspro.2013.08.040
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
The primary objective of this study is to understand the effects of the low-carbon constraints on the route and mode choices of trip makers, and their impacts on the performance of a transportation network which is composed of buses and private cars. A combined mode split/traffic assignment model that considered the low-carbon constraints was proposed. The low-carbon constraints considered both the system CO2 reduction constraint and the link CO environmental traffic capacity constraint. The effects of low-carbon constraints were estimated using the equilibrium solution of the proposed combined mode split/traffic assignment model, which was obtained using the generalized lagrangian multiplier solution method. The proposed model was tested in two hypothetical test networks. It was found that by changing the route and mode choices of trip makers the network equilibrium results under the low-carbon constraints can be achieved. Both system travel time and carbon emissions of the congested network can be reduced when low-carbon constraints were used. However, for the non-congested network, the use of low-carbon constraints will increase the system travel time. The proposed model can be directly used by transportation decision makers to evaluate the effects of various policies that focus on limiting low-carbon emissions on the overall performance of the road network. (C) 2013 The Authors. Published by Elsevier Ltd. Selection and peer-review under responsibility of Chinese Overseas Transportation Association (COTA).
引用
收藏
页码:329 / 338
页数:10
相关论文
共 50 条
  • [31] Intelligent transportation technology system for low-carbon transport
    Qian, Y. (qy@itsc.cn), 1600, Beijing Institute of Technology (33):
  • [32] Research on Development Measures of Low-carbon Transportation in Beijing
    Zong Gang
    Yang Lijie
    Yan Hua
    ICMETM 2014 - INTERNATIONAL CONFERENCE ON MODERN ECONOMIC TECHNOLOGY AND MANAGEMENT, 2014, 7
  • [33] Study on the Establishment of Low-carbon Transportation System in Tianjin
    Wang Nan
    Sun Yu
    URBANIZATION AND LAND RESERVATION RESEARCH, 2011, : 61 - 66
  • [34] An Economic and Low-Carbon Co-optimization Method for Coupled Transportation and Power Distribution Networks
    Qiao, Wenjie
    Han, Yinghua
    Si, Fangyuan
    Wang, Jinkuan
    Li, Kangping
    Zhao, Qiang
    2022 IEEE/IAS INDUSTRIAL AND COMMERCIAL POWER SYSTEM ASIA (I&CPS ASIA 2022), 2022, : 1854 - 1860
  • [35] Low-Carbon Choices for Leisure Resorts with Rural Characteristics of China
    Ma Xiaoqin
    ENVIRONMENT, LOW-CARBON AND STRATEGY, 2011, : 342 - 347
  • [36] The role of emission disclosure for the low-carbon transition
    Frankovic, Ivan
    Kolb, Benedikt
    EUROPEAN ECONOMIC REVIEW, 2024, 167
  • [37] Internalization of transportation external costs: Impact analysis of logistics company mode and route choices
    Guo, Shwu-Ping
    TRANSPORTATION PLANNING AND TECHNOLOGY, 2007, 30 (2-3) : 147 - 165
  • [38] An analysis of the low-carbon consumption mode in Beijing
    Liu, Ru
    Li, Menghui
    ADVANCES IN ENERGY, ENVIRONMENT AND MATERIALS SCIENCE, 2017, : 155 - 158
  • [39] The Effects of the Emission Cost on Route Choices of International Container Ships
    Lee, Hyangsook
    Lee, Kang-Dae
    Choo, Sangho
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2016, 2016
  • [40] Pricing and Carbon-Emission-Reduction Decisions under the BOPS Mode with Low-Carbon Preference from Customers
    Wang, Han
    Pang, Chuan
    Tang, Huajun
    MATHEMATICS, 2023, 11 (12)