|Table of Contents|

Ordered choice model of travel information demand based on scale choice set(PDF)

《交通运输工程学报》[ISSN:1671-1637/CN:61-1369/U]

Issue:
2019年04期
Page:
151-160
Research Field:
交通运输规划与管理
Publishing date:

Info

Title:
Ordered choice model of travel information demand based on scale choice set
Author(s):
TANG Li1;  ZHOU Hou-qing1;  ZHANG Xue-jun1; 2
(1. School of Automobile and Transportation, Xihua University, Chengdu 610039, Sichuan, China; 2. School of Electronic and Information Engineering, Beihang University, Beijing 100083, China)
Keywords:
travel information demand;  ordered choice model;  scale choice set;  alternative;  partial effect
PACS:
U491.11
DOI:
-
Abstract:
The key information needed for urban travelers' daily activity and travel was studied, and a quantitative analysis method focusing on scale data was proposed. Setting traveler's information demand as the study subject, a survey based on Likert 5 scale questionnaire was designed. The rankings of travel individual's demand degrees for various types of travel information were summarized, and the ordered choice models for driving route, destination location and real-time traffic information demand were built and calibrated separately. The ordered choice model was compared with the multinomial Logit model in terms of parameter significance, Akaike information criterion and log likelihood function value so as to verify its effectiveness, and the partial effect analysis on key variables affecting the information demand was carried out. Research result shows that the bus operation change information is mostly required before the travelers' commuting trips, and the real-time traffic information is mostly required during commuting. Non-commuting travelers care destination location information most, and the demand probabilities for destination location information before departure and en-route are 31.08% and 29.25% higher than that before commuting, respectively. In general, workers have higher information demand degree than that of students and freelancers, indicating that people with high value of time are more expected to properly arrange their trips by comprehensive and timely information acquisition. Demand probability of real-time traffic information for female is 10.23% higher than that for male, indicating that females have stronger cognition in avoiding delay risks. The 20s to 40s have the strongest travel information needs that gradually decline with age increasing. All age groups show a higher demand for real-time traffic information, indicating that people are more sensitive to information with potential negative impact. Therefore, the scale choice set can be analyzed by using the ordered choice model. 7 tabs, 4 figs, 29 refs.

References:

[1] BEN-ELIA E, AVINERI E. Response to travel information: a behavioral review[J]. Transport Reviews, 2015, 35(3): 352-377.
[2] PRONELLO C, DUBOZ A, RAPPAZZO V. Towards smarter urban mobility: willingness to pay for an advanced traveller information system in Lyon[J]. Sustainability, 2017, 9(10): 1690-1711.
[3] GAN Hong-cheng. To switch travel mode or not? Impact of smartphone delivered high-quality multimodal information[J]. IET Intelligent Transport Systems, 2015, 9(4): 382-390.
[4] GAN Hong-cheng, YE Xin. Will commute drivers switch to park-and-ride under the influence of multimodal traveler information? A stated preference investigation[J]. Transportation Research Part F: Psychology and Behaviour, 2018, 56: 354-361.
[5] LOU Xiao-ming, CHENG Lin, CHU Zhao-ming. Modelling travelers' en-route path switching in a day-to-day dynamical system[J]. Transportmetrica B: Transport Dynamics, 2016, 5(1): 15-37.
[6] LINDSEY R, DANIEL T, GISCHES E, et al. Pre-trip
information and route-choice decisions with stochastic travel conditions: theory[J]. Transportation Research Part B: Methodological, 2014, 67: 187-207.
[7] BEN-AKIVA M, BIERLAIRE M. Discrete choice methods and their applications to short term travel decisions[J]. Handbook of Transportation Science, 1999, 23: 5-33.
[8] BHAT C R. A new flexible multiple discrete-continuous
extreme value(MDCEV)choice model[J]. Transportation Research Part B: Methodological, 2018, 110: 261-279.
[9] 唐 立,邹 彤,罗 霞,等.基于混合Logit模型的网约车选择行为研究[J].交通运输系统工程与信息,2018,18(1):108-114.
TANG Li, ZOU Tong, LUO Xia, et al. Choice behavior of taxi-hailing based on mixed-logit model[J]. Journal of Transportation Systems Engineering and Information Technology, 2018, 18(1): 108-114.(in Chinese)
[10] CELIK A K, SENGER Ö. A comparison of alternative ordered response models for analyzing user satisfaction with transport services in Turkey[J]. Transport and Telecommunication, 2016, 17(1): 40-54.
[11] CHESHER A, SMOLINSKI K. IV models of ordered choice[J]. Journal of Econometrics, 2012, 166(1): 33-48.
[12] LIU Peng, GUO Qian-ru, REN Fei, et al. Willingness to
pay for self-driving vehicles: influences of demographic and psychological factors[J]. Transportation Research Part C: Emerging Technologies, 2019, 100: 306-317.
[13] CHEN Ching-fu, CHEN Pei-chun. Estimating recreational cyclists' preferences for bicycle routes-evidence from Taiwan[J]. Transport Policy, 2013, 26: 23-30.
[14] 张兆泽,黄海军.社交网络信息对出行时刻选择行为的影响[J].交通运输系统工程与信息,2017,17(5):22-28.
ZHANG Zhao-ze, HUANG Hai-jun.Impacts of social network media on departure time choice behavior[J]. Journal of Transportation Systems Engineering and Information Technology, 2017, 17(5): 22-28.(in Chinese)
[15] 杨智伟,赵胜川,张 迅.公共交通出行者ATIS信息选择行为影响因素研究[J].交通运输系统工程与信息,2009,9(3):29-35.
YANG Zhi-wei, ZHAO Sheng-chuan, ZHANG Xun. Influencing factors of ATIS information choice behaviors of public traffic travelers[J]. Journal of Transportation Systems Engineering and Information Technology, 2009, 9(3): 29-35.(in Chinese)
[16] 李春燕,陈 峻,孙正安,等.ATIS条件下驾驶员出行途中路径选择行为研究[J].深圳大学学报(理工版),2016,33(2):164-172.
LI Chun-yan, CHEN Jun, SUN Zheng-an, et al. Drivers' route choice behavior analysis under ATIS[J]. Journal of Shenzhen University(Science and Engineering), 2016, 33(2): 164-172.(in Chinese)
[17] 朱 锐,张婧姝,李林波.基于ECR模型的常规公交站点服务信息重要度研究[J].交通与运输,2011(2):76-80.
ZHU Rui, ZHANG Jing-shu, LI Lin-bo. Study on the importance of service information at the bus stop based on ECR model[J]. Traffic and Transportation, 2011(2): 76-80.(in Chinese)
[18] 杨智伟.基于ATIS的交通出行信息选择行为及支付意愿研究[D].大连:大连理工大学,2010.
YANG Zhi-wei. A study on travel information acquisition behavior and willingness to pay under ATIS[D]. Dalian: Dalian University of Technology, 2010.(in Chinese)
[19] ABDEL-ATY M A. Using ordered probit modeling to study the effect of ATIS on transit ridership[J]. Transportation Research Part C: Emerging Technologies, 2001, 9(4): 265-277.
[20] KLEINJANS K J. Do gender differences in preferences for
competition matter for occupational expectations[J]. Journal of Economic Psychology, 2009, 30(5): 701-710.
[21] 陈 芳.贫困地区农户融资需求与融资能力——基于有序选择模型的实证分析[J].南方金融,2016(7):57-66.
CHEN Fang. Financing needs and capabilities of farmers in poor areas—an empirical analysis based on ordered selection model[J]. South China Finance, 2016(7): 57-66.(in Chinese)
[22] HUDSON J, ORVISKAB M, HUNADY J. People's attitudes to autonomous vehicles[J]. Transportation Research Part A: Policy and Practice, 2019, 121: 164-176.
[23] CHIBURIS R, LOKSHIN M. Maximum likelihood and two-step estimation of an ordered-probit selection model[J]. Stata Journal, 2007, 7(2): 167-182.
[24] DALY A, DEKKER T, HESS S. Dummy coding vs effects coding for categorical variables: clarifications and extensions[J]. Journal of Choice Modelling, 2016, 21: 36-41.
[25] 唐 立.多元出行信息影响下的交通选择行为研究[D].成都:西南交通大学,2015.
TANG Li. Choice behavior under the impact of multivariate traveler information[D]. Chengdu: Southwest Jiaotong University, 2015.(in Chinese)
[26] 中国互联网络信息中心.中国互联网络发展状况统计报告[R].北京:中国互联网络信息中心,2014.
China Internet Network Information Center. Statistical report on the development of Chinese Internet[R]. Beijing: China Internet Network Information Center, 2014.(in Chinese)
[27] WARDMAN M, NICOLÁS IBÁÑEZ J. The congestion multiplier: variations in motorists' valuations of travel time with traffic conditions[J]. Transportation Research Part A: Policy and Practice, 2012, 46(1): 213-225.
[28] GREENE W H, HENSHER D A. Ordered choices and
heterogeneity in attribute processing[J]. Journal of Transportation Economics and Policy, 2010, 44(3): 331-364
[29] MCKELVEY R D, ZAVOINA W. A statistical model for the analysis of ordered level dependent variables[J]. Journal of Mathematical Sociology, 1975, 4: 103-120.

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Last Update: 2019-09-03