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在四阶段模型中引入部分非集计的活动模型和出行链模型的建模思路，进而设计和开发混合交通需求模型，可以增强对出行行为的可解释性，同时避免完全采用非集计的活动模型所面临的复杂性和计算效率问题。回顾美国三角区域模型的发展历程，简要介绍第二代三角区域模型(TRMG2)的基本情况与特点。结合对TRMG2的结构设计解读，梳理TRMG2对基于出行的模型理论和建模方法的重要改进。重点介绍了基于人口合成(仿真)的人口重构模型、基于出行链的出行生成模型、分层目的地选择模型和考虑可达性的出行行为选择模型等高级出行需求建模方法。最后，结合当前中国城市交通需求模型的现状和面临问题，总结提出工作机制制度化、模型开发精细化、模型理论实用化和模型成果公开化的发展策略。
Abstract：Introducing partially disaggregated trip-based models and tour-based models into the four-step modeling framework, and further designing and developing hybrid travel demand models, can enhance the interpretability of travel behavior while avoiding the complexity and computational efficiency problems associated with disaggregate activity models. Reviewing the development of the U.S. triangle regional travel demand model, this paper summarizes the basic information and characteristics of the second generation of the triangle regional model(TRMG2). Combined with the interpretation of the structural design of TRMG2, the paper discusses important improvements of TRMG2 in the modeling method based on tripbased theory, focusing on advanced travel demand modeling methods such as the population reconstruction model with population synthesis, the trip generation model based on trip chains, nested destination choice models, and travel behavior selection models considering accessibility. Finally, to address the current status and problems in urban travel demand models development in China, the paper proposes development strategies in four aspects: institutionalizing working mechanism, refining model development, transitioning model theory to practices, and publicizing model outcomes.
[1] BOYCE D, ZHANG Y F, LUPA M. Introducing“feedback” into four-step travel forecasting procedure versus equilibrium solution of combined model[J]. Transportation research record:journal of the Transportation Research Board, 1994, 1443:65-74.
[2] BOYCE D, O'NEILL C R, SCHERR W.Solving the sequential travel forecasting procedure with feedback[J]. Transportation research record:journal of the Transportation Research Board, 2008, 2077(1):129-135.
[3] BOYCE D. Is the sequential travel forecasting paradigm counterproductive?[J]. Journal of urban planning and development, 2002, 128(4):169-183.
[4] EWING R, SABOURI S, PARK K, et al. Key enhancements to the WFRC/MAG four-step travel demand model[R]. Portland:Transportation Research and Education Center, 2019.
[5] FRICKER J D, JIN L. Development of an integrated land-use transportation model for Indiana[R]. West Lafayette:Purdue University,2008.
[6] CAPELLE T, STURM P, VIDARD A, et al.Calibration of the Tranus land use module:optimization-based algorithms, their validation,and parameter selection by statistical model selection[J]. Computers, environment and urban systems, 2019, 77:101146.
[7] BARRA T D L. Mathematical description of Tranus[R]. Caracas, Venezuela:Modelistica,1999.
[8]易汉文，殷茵. PECAS：城市用地和交通集成化模型系统[J].城市交通，2006,4(4):12-20.YI H W, YIN Y. PECAS:an integrated landuse and transportation modeling system[J]. Urban transport of China, 2006, 4(4):12-20.
[9] MARTíNEZ F. MUSSA:land use model for Santiago City[J]. Transportation research record:journal of the Transportation Research Board, 1996, 1552(1):126-134.
[10] MILLER E J, ROORDA M J, CARRASCO J A. A tour-based model of travel mode choice[J]. Transportation, 2005, 32:399-422.
[11] BEN-AKIVA M, BOWMAN J L. Integration of an activity-based model system and a residential location model[J]. Urban studies,1998, 35(7):1131-1153.
[12] PINJARI A R, BHAT C R. Activity-based travel demand analysis[M]//de PALMA A,LINDSEY R, QUINET E, et al. A handbook of transport economics. Cheltenham, UK:Edward Elgar Publishing, 2011:213-248.
[13] BHAT C R, KOPPELMAN F S. Activitybased modeling of travel demand[M]//Hall R W. Handbook of transportation science.New York:Springer, 2003:39-65.
[14] CASTIGLIONE J, BRADLEY M, GLIEBE J. Activity-based travel demand models:a primer[R]. S2-C46-RR-1. Washington DC:Transportation Research Board, 2015.
[15] H?RL S, BALAC M, AXHAUSEN K W. A first look at bridging discrete choice modeling and agent-based microsimulation in MATSim[J]. Procedia computer science, 2018, 130:900-907.
[16] HORNI A, NAGEL K, AXHAUSEN K W.The multi-agent transport simulation matsim[M]. London:Ubiquity Press, 2016.
[17] MLADENOVIC M, TRIFUNOVIC A. The shortcomings of the conventional four step travel demand forecasting process[J]. Journal of road and traffic engineering, 2014, 60(1):5-12.
[18] Triangle Regional Model Service Bureau.Triangle regional travel demand model users'guide[R]. Raleigh, USA:Triangle Regional Model Service Bureau, 2020.
[19] YE X, KONDURI K, PENDYALA R M, et al. Methodology to match distributions of both household and person attributes in generation of synthetic populations[DB/CD].Washington DC:Transportation Research Board, 2009-01-11.
[20] ABRAHAM J E, STEFAN K J, HUNT J D.Population synthesis using combinatorial optimization at multiple levels[DB/CD]. Washington DC:Transportation Research Board,2012-01-19.
[21] BALAKRISHNA, SUNDARAM S, LAM J.An enhanced and efficient population synthesis approach to support advanced travel demand models[DB/CD]. Washington DC:Transportation Research Board, 2019-01-13.
[22]张天然，朱春节，陈先龙，等.高级出行需求模型的增强人口仿真研究[J].城市交通，2023,21(5):113-124.ZHANG T R, ZHU C J, CHEN X L. Enhanced population simulation for advanced travel demand modeling[J]. Urban transport of China, 2023, 21(5):113-124.
[23] BERNARDIN V L, WARD K, HUNTSINGER L, et al. An advanced state-of-the-practice hybrid travel demand model for the north Carolina research triangle region[DB/CD]. Washington DC:Transportation Research Board, 2023-01-08.
[24] HONG S-K, KIM J-H, JANG H C, et al. The roles of categorization, affective image and constraints on destination choice:an application of the NMNL model[J]. Tourism management, 2006, 27(5):750-761.
[25] HAMMADOU H, THOMAS I, VERHETSEL A, et al. How to incorporate the spatial dimension in destination choice models:the case of Antwerp[J]. Transportation planning and technology, 2008, 31(2):153-181.
[26]杨齐，霍华德·斯莱威，沈青.城市交通规划模型的探讨[J].城市交通，2008,6(2):87-91.YANG Q, HOWARD S, SHEN Q. A Discussion on urban transportation models in China and the U.S[J]. Urban transport of China,2008, 6(2):87-91.
[27] Caliper Corporation. Triangle Regional Model G2[EB/OL].(2023-02-23)[2024-02-20]. https://triangle-modeling-and-analytics.github.io/TRMG2/.
基本信息:
DOI：10.13813/j.cn11-5141/u.2024.0020
中图分类号:U491
引用信息:
[1]张天然,陈先龙,朱春节,等.基于出行的交通需求模型改进实践——以第二代三角区域模型为例[J].城市交通,2024,22(04):41-49+119.DOI:10.13813/j.cn11-5141/u.2024.0020.
基金信息:
上海市城市规划设计研究院重点项目“上海市新一轮交通模型建设”(2020160-0); 广州市交通规划研究院有限公司科研项目“数据驱动的时空推演城市活动模型研究”(KYHT-2023-01)
2023-02-26
2023
2024-10-30
2023-04-13
2023
1
2024-07-19
2024-07-19
2024-07-19