Urban Road Network Design with Balance between Vulnerability and Reliability

LÜ Biao; LIU Yiliu; LIU Haixu

doi:10.3969/j.issn.0258-2724.20180812

Volume 54 Issue 5

Oct. 2019

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Journal of Southwest Jiaotong University > 2019 > 54(5): 1093-1103.

LÜ Biao, LIU Yiliu, LIU Haixu. Urban Road Network Design with Balance between Vulnerability and Reliability[J]. Journal of Southwest Jiaotong University, 2019, 54(5): 1093-1103. doi: 10.3969/j.issn.0258-2724.20180812

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LÜ Biao, LIU Yiliu, LIU Haixu. Urban Road Network Design with Balance between Vulnerability and Reliability[J]. Journal of Southwest Jiaotong University, 2019, 54(5): 1093-1103. doi: 10.3969/j.issn.0258-2724.20180812

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Urban Road Network Design with Balance between Vulnerability and Reliability

doi: 10.3969/j.issn.0258-2724.20180812

Received Date: 08 Oct 2018
Accepted Date: 21 Dec 2018
Rev Recd Date: 23 Nov 2018

Available Online: 10 Jul 2019

Publish Date: 01 Oct 2019

Abstract

Abstract

Under normal events, travelers have route choice behaviors with risk aversion while under abnormal events, their route choice behaviors have a feature of both risk aversion and regret aversion. For this reason, an urban road network design model is constructed. It is a bilevel programming model with two lower level models in which reliability measure depicts road network performance under normal events, and vulnerability measure represents road network performance under abnormal events. The objective of the upper model is to optimize road network vulnerability measure（i.e., maximize road network accessibility measure）while it is subject to a predefined reliability constraint. The lower model include two stochastic user equilibrium models based on the utility theory and on the regret theory respectively. The results of numerical examples show that, compared with the model simply for vulnerability, the proposed model can acquire higher reliability with reduced accessibility to some extent. If investment budget is 0.9 × 10⁷, the average road network accessibility and road network reliability of the proposed model are 0.138 8 and 0.969 6 respectively, whereas as to the model simply for vulnerability, they are 0.140 5 and 0.334 1 respectively. Totally, the accessibility measure decreases by 1.20% and the reliability measure increases by 190.21%. Besides, the neglect of differences in travel decision behaviors may lead to a sub-optimal even false network design.
- traffic engineering,
- urban road network design,
- bilevel programming model,
- genetic algorithm,
- regret theory,
- vulnerability,
- reliability

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References(18)

References

FARAHANI R Z, MIANDOABCHI E, SZETO W Y, et al. A review of urban transportation network design problems[J]. European Journal of Operational Research, 2013, 229(2): 281-302. doi: 10.1016/j.ejor.2013.01.001

CHEN A, ZHOU Z, CHOOTINAN P, et al. Transport network design problem under uncertainty: a review and new developments[J]. Transport Reviews, 2011, 31(6): 743-768. doi: 10.1080/01441647.2011.589539

CHEN A, KIM J, LEE S, et al. Models and algorithm for stochastic design problem[J]. Tsinghua Science and Technology, 2009, 14(3): 341-351. doi: 10.1016/S1007-0214(09)70050-1

NG M W, WALLER S T. Reliable system optimal network design:a convex mean-variance type model with implicit chance constraints[J]. Transportation Research Record, 2006, 1964: 81-90. doi: 10.1177/0361198106196400110

蒋洋,孙会君,吴建军. 不确定条件对交通网络设计的影响分析[J]. 交通运输系统工程与信息,2014,14(3): 85-90. doi: 10.3969/j.issn.1009-6744.2014.03.013

JIANG Yang, SUN Huijun, WU Jianjun. Comparative analysis of transportation network design problem under stochastic capacity[J]. Journal of Transportation Systems Engineering and Information Technology, 2014, 14(3): 85-90. doi: 10.3969/j.issn.1009-6744.2014.03.013

NIKOO N, BABAEI M, MOHAYMANY A S. Emergency transportation network design problem:identification and evaluation of disaster response routes[J]. International Journal of Disaster Risk Reduction, 2018, 27: 7-20. doi: 10.1016/j.ijdrr.2017.07.003

BEHBAHANI H, NAZARI S, KANG M J, et al. A conceptual framework to formulate transportation network design problem considering social equity criteria[J]. Transportation Research Part A, 2019, 125(7): 171-183.

BERDICA K. An introduction to road vulnerability:what has been done,is done and should be done[J]. Transport Policy, 2002(9): 117-127.

REGGIANI A, NIJKAMP P, LANZI D. Transport resilience and vulnerability:the role of connectivity[J]. Transportation Research Part A, 2015, 81: 4-15.

CHORUS C, ARENTZE T A, TIMMERMANS, H J P. A random regret minimization model of travel choice[J]. Transportation Research Part B, 2008, 42(1): 1-18. doi: 10.1016/j.trb.2007.05.004

安实,王泽,王健,等. 后悔视角下的应急疏散出行方式决策行为分析[J]. 交通运输系统工程与信息,2015,15(4): 18-23. doi: 10.3969/j.issn.1009-6744.2015.04.003

AN Shi, WANG Ze, WANG Jian, et al. Travel mode decision behavior under regret view for emergency evacuation[J]. Journal of Transportation Systems Engineering and Information Technology, 2015, 15(4): 18-23. doi: 10.3969/j.issn.1009-6744.2015.04.003

吕彪,刘海旭,蒲云,等. 基于累积前景理论的随机异质道路网配流模型[J]. 西南交通大学学报,2015,50(1): 173-182. doi: 10.3969/j.issn.0258-2724.2015.01.026

LÜ Biao, LIU Haixu, PU Yun, et al. Traffic assignment model based on cumulative prospect theory for stochastic road network with heterogeneous users[J]. Journal of Southwest Jiaotong University, 2015, 50(1): 173-182. doi: 10.3969/j.issn.0258-2724.2015.01.026

SHAO H, LAM W H K, TAM M L. A Reliability-based stochastic traffic assignment model for network with multiple user classes under uncertainty in demand[J]. Network and Spatial Economics, 2006, 6(3): 173-204.

FENTON L F. The sum of log-normal probability distributions in scatter transmission systems[J]. IEEE Transactions on Communications Systems, 1960, 8(1): 57-67. doi: 10.1109/TCOM.1960.1097606

黄海军. 城市交通网络平衡分析—理论与实践[M]. 北京: 人民交通出版社, 1994: 153-205

况爱武,黄中祥,况群. 随机需求道路网络出行时间可靠性评估方法[J]. 西南交通大学学报,2011,46(5): 861-867. doi: 10.3969/j.issn.0258-2724.2011.05.025

KUANG Aiwu, HUANG Zhongxiang, KUANG Qun. Evaluation method for travel time reliability of road network with stochastic demand[J]. Journal of Southwest Jiaotong University, 2011, 46(5): 861-867. doi: 10.3969/j.issn.0258-2724.2011.05.025

LUATHEP P, SUMALEE A, HO H, et al. Large-scale road network vulnerability analysis:a sensitivity analysis based approach[J]. Transportation, 2011, 38(5): 799-817. doi: 10.1007/s11116-011-9350-0

吕彪,刘海旭,蒲云. 基于遗传算法的随机路网次优拥挤收费模型[J]. 计算机工程,2013,39(8): 257-261. doi: 10.3969/j.issn.1000-3428.2013.08.056

LÜ Biao, LIU Haixu, PU Yun. Second-best congestion pricing model in a stochastic road network based on genetic algorithm[J]. Computer Engineering, 2013, 39(8): 257-261. doi: 10.3969/j.issn.1000-3428.2013.08.056

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