Optimal Urban Transit Investment Model and Its Application

被引:1
|
作者
Sharav, Nir [1 ]
Shiftan, Yoram [1 ]
机构
[1] Technion, Transportat Res Inst, IL-32000 Haifa, Israel
关键词
urban transit investment; transit network design; optimal transport investment model; strategic network design tool; PUBLIC TRANSPORT; PHYSICAL-ACTIVITY; NETWORK DESIGN; CONGESTION; METRO; AGGLOMERATION; IMPROVEMENTS; SUBSIDIES; SERVICE; WALKING;
D O I
10.3390/su13168706
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
We present a new urban transit investment model, integrating transport economic theory regarding optimal investment with transport modeling, planning, and network design. The model expands on the theory of optimal transit network planning and investment, accounting for the effects of the investment on accessibility, level of service, and speed. The model seeks long-term optimal transit investment and optimal road pricing simultaneously in an integrated, unified model. To illustrate the advantages of our approach, we applied our empirical model to two case studies, Tel Aviv and Toronto, integrating our theoretical contribution into practice. Our results demonstrate the model's ability to indicate the optimal transit mode and investment on a corridor level and the total investment required for the city transit network. The model results were compared to the actual and planned transit networks of Tel Aviv and Toronto and showed the model's capability to produce a good balance of strategic design and network details. The research concludes that applying the right toll with the applicable transit investment is crucial for obtaining an efficient network and performance. This research can direct planners and policymakers in planning urban transport and provide a comprehensive set of guidelines for optimizing the simultaneous investment in mass transit and the congestion toll toward more sustainable cities and transportation systems.
引用
收藏
页数:29
相关论文
共 50 条
  • [21] Estimation of Improved BEKK Model and Its Application in Investment Portfolio
    Liu Liping
    Chen Qin
    PROCEEDINGS OF 2019 CHINA INTERNATIONAL CONFERENCE ON INSURANCE AND RISK MANAGEMENT (CICIRM), 2019, : 991 - 1001
  • [22] Study on the Evaluation Method and its Application for the Accident Emergency System of Urban Rail Transit
    Xu, Zhong-Qi
    Wang, Li
    INTERNATIONAL CONFERENCE ON MECHANICS AND CONTROL ENGINEERING (MCE 2015), 2015, : 193 - 199
  • [23] The Pattern of Non-Roundtrip Travel on Urban Rail and Its Application in Transit Improvement
    Wang, Zijia
    Tang, Hao
    Wang, Wenjuan
    Xi, Yang
    SUSTAINABILITY, 2020, 12 (09)
  • [24] Genetic algorithms for optimal urban transit network design
    Chakroborty, P
    COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2003, 18 (03) : 184 - 200
  • [25] Hawkes processes in insurance: Risk model, application to empirical data and optimal investment
    Swishchuk, Anatoliy
    Zagst, Rudi
    Zeller, Gabriela
    INSURANCE MATHEMATICS & ECONOMICS, 2021, 101 : 107 - 124
  • [26] Optimal Combination of Load and Its Application on Urban Power Network Renovation
    Ma, Guozhen
    Jiang, Lei
    Shao, Hua
    Wang, Ke
    Ling, Yunpeng
    Ling, Yunpeng
    Liu, Yong
    2015 2ND ASIAN PACIFIC CONFERENCE ON ENERGY, ENVIRONMENT AND SUSTAINABLE DEVELOPMENT (APEESD 2015), 2015, : 45 - 49
  • [27] Application and research of TRIPS model in the forecast of passenger flux of the network of urban rail transit
    Ji, JL
    Li, FZ
    Lin, JL
    Liang, D
    TRAFFIC AND TRANSPORTATION STUDIES, VOLS 1 AND 2, PROCEEDINGS, 2002, : 562 - 567
  • [28] Development of WEP model and its application to an urban watershed
    Jia, YW
    Ni, GH
    Kawahara, Y
    Suetsugi, T
    HYDROLOGICAL PROCESSES, 2001, 15 (11) : 2175 - 2194
  • [29] An optimal forecasting model and its application in demand prediction
    Zhang, MY
    Wang, YQ
    Ju, SD
    Wu, WB
    ADVANCES IN MANAGEMENT AND MANAGEMENT INFORMATION SYSTEM, 1999, : 27 - 35
  • [30] A Transit Bottleneck Model for Optimal Control Strategies and its Use in Traffic Assignment in Paris
    Wen, Jian
    Leurent, Fabien
    Xie, Xiaoyan
    19TH EURO WORKING GROUP ON TRANSPORTATION MEETING (EWGT2016), 2017, 22 : 65 - 74