Freight Mode Choice Behavior Model Incorporating Spatial Characteristics

被引:0
|
作者
Liu, Hao [1 ,3 ]
Zhang, Rong [1 ,3 ]
Zhu, Li-Chao [2 ]
机构
[1] Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai,201804, China
[2] School of Business Administration, Zhejiang University of Finance & Economics, Hangzhou,310018, China
[3] Shanghai Key Laboratory of Rail Infrastructure Durability and System Safety, Tongji University, Shanghai,201804, China
基金
国家重点研发计划;
关键词
Freight mode choices - Mixed logit models - Multinomial logit model - Northern regions - Railway services - Railway transportation - Spatial characteristics - Transportation time;
D O I
暂无
中图分类号
学科分类号
摘要
One important reason for the low share of railway transportation in the freight market is that railway service providers fail to accurately grasp shippers' mode choice behavior and thus cannot provide competitive freight service. Based on the 116 shippers' behavior data from adaptive experiments, this paper constructs a multinomial Logit model and a mixed Logit model incorporating time, cost, cargo characteristics and choice inertia, which also introduces the interaction between spatial characteristics and time to reveal the effects of time on utility under different spatial characteristics. The results show that, in addition to transportation time and cost, the density of cargo, choice inertia and shippers' characteristics affect the freight mode choice behavior significantly. Because of the differences in distance, cargo type (value) and economic development level, the freight values of time with the same origin region but different destination regions are significantly different. The values were the highest in Eastern China and Southern China and the lowest in Central and Northern regions. Copyright © 2021 by Science Press.
引用
收藏
页码:30 / 35
相关论文
共 50 条
  • [31] Tourism traffic mode choice behavior model
    Gong, Xiaogang
    Yan, Hai
    Liu, Shixu
    Xu, Zhi
    ICCTP 2011: Towards Sustainable Transportation Systems - Proceedings of the 11th International Conference of Chinese Transportation Professionals, 2011, : 766 - 775
  • [32] Investigation of Inland Freight Transport Modal Choice in Greece Parameters and Attributes Influencing Freight Mode Choice
    Moschovou, T. P.
    Giannopoulos, G. A.
    TRANSPORTATION RESEARCH RECORD, 2010, (2168) : 43 - 52
  • [33] Incorporating the extended theory of planned behavior in a school travel mode choice model: a case study of Shaoxing, China
    Jing, Peng
    Wang, Jing
    Chen, Long
    Zha, Qi-fen
    TRANSPORTATION PLANNING AND TECHNOLOGY, 2018, 41 (02) : 119 - 137
  • [34] Incorporating habitual behavior into Mode choice Modeling in light of emerging mobility services
    Asgari, Hamidreza
    Jin, Xia
    SUSTAINABLE CITIES AND SOCIETY, 2020, 52
  • [35] Modelling mode choice for freight transport using advanced choice experiments
    Isabel Arencibia, Ana
    Feo-Valero, Maria
    Garcia-Menndez, Leandro
    Roman, Concepcion
    TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2015, 75 : 252 - 267
  • [36] A Binary Logit Model Based on Logistics Costs for Mode Choice Decisions in Freight Transportation
    Kofteci, Sevil
    Gercek, Haluk
    TEKNIK DERGI, 2010, 21 (03): : 5087 - 5112
  • [37] A binary logit model based on logistics costs for mode choice decisions in freight transportation
    Köfteci, Sevil
    Gerçek, Haluk
    Teknik Dergi/Technical Journal of Turkish Chamber of Civil Engineers, 2010, 21 (03): : 5087 - 5112
  • [38] A DECISION SUPPORTIVE METHOD FOR FREIGHT TRANSPORTATION MODE CHOICE
    Gursoy, Mustafa
    SIGMA JOURNAL OF ENGINEERING AND NATURAL SCIENCES-SIGMA MUHENDISLIK VE FEN BILIMLERI DERGISI, 2005, 23 (02): : 137 - 151
  • [39] A VARIETY SEEKING MODEL OF SPATIAL CHOICE-BEHAVIOR
    BORGERS, AWJ
    VANDERHEIJDEN, RECM
    TIMMERMANS, HJP
    ENVIRONMENT AND PLANNING A, 1989, 21 (08) : 1037 - 1048
  • [40] Elasticities of mode choice probabilities and market elasticities of demand: Evidence from a simultaneous mode choice shipment-size freight transport model
    Abdelwahab, WM
    TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 1998, 34 (04) : 257 - 266