doi:

DOI: 10.3724/SP.J.1249.2018.02213

Journal of Shenzhen University Science and Engineering (深圳大学学报理工版) 2018/35:2 PP.213-220

The choice of commuter path of private cars under ticket trade constraints


Abstract:
In the comparison with the traditional congestion charging scheme, the scheme of tradable electronic tickets shows more rationality and fairness. In order to study the commuter route selection characteristics under the restriction of the tradable-credit scheme, we describe the operating mechanism of tradable electronic ticket and analyze the effect of tradable E-ticket scheme on residents' travel route choice based on the maximization principle of travelers' utilities. A commuter travel route selection model is put forward. Five alternative routes are identified under the road network simulation experiment. According to the residents' commuter travel data collected from Shanghai using stated preference (SP) survey questionnaire, we find that with the increase of time loss, the effect of the incentive mechanism of tradable electronic tickets reduces gradually. Furthermore, we process the collected data by Stata software and analyze the influencing factors of the commuter travel route choice. Among them, relative to the choice of the shortest route for the traveler, the comprehensive travel cost has a very significant influence on the route choice of the traveler. With the increase of the bypass time, the commuting time on weekdays has a significant effect on the choice of the routes 3 and 4; career factors have a significant effect on the choice of routes 3 and 5; monthly revenue has a significant impact on the choice of routes 4 and 5. The result of the study has certain guiding significance to the implementation of the tradable-credit scheme.

Key words:transportation planning,traffic demand management,tradable-credit scheme,traveler's utility,path choice,multi-nominal logit

ReleaseDate:2018-03-20 15:26:58



[1] JONES P. Urban road pricing:public acceptability and barriers to implementation[DB/OL]. (1999-04-29)[2017-05-01]. https://trid.trb.org/Results?txtKeywords=Urban+Road+Pricing%3A+Public+Acceptability+and+Barriers+to+Implementation#/View/582081.

[2] YANG Hai, WANG Xiaolei. Managing network mobility with tradable credits[J].Transportation Research Part B, 2011, 45(3):580-594.

[3] FAN Wenbo, JIANG Xinguo. Tradable mobility permits in roadway capacity allocation:review and appraisal[J]. Transport Policy, 2013, 30(2):132-142.

[4] AKAMATSU T, WADA K. Tradable network permits:a new scheme for the most efficient use of network capacity[J]. Transportation Research Part C Emerging Technologies, 2007, 79:178-195.

[5] 钟庆伟,蔡峰. 可交易电子路票在智能交通中的应用[J]. 交通科技与经济,2014,16(2):9-12. ZHONG Qingwei, CAI Feng. The application of tradable electronic road ticket in intelligent transportation[J]. Technology & Economy in Areas of Communications, 2014, 16(2):9-12.(in Chinese)

[6] WU Di, YIN Yafeng, LAWPHONGPANICH S, et al. Design of more equitable congestion pricing and tradable credit schemes for multimodal transportation networks[J]. Transportation Research Part B, 2012, 46(9):1273-1287.

[7] TIAN Lijun, YANG Hai, HUANG Haijun. Tradable credit schemes for managing bottleneck congestion and modal split with heterogeneous users[J]. Transportation Research Part E, 2013, 54(3):1-13.

[8] AZIZ H A, UKKUSURI S V. Tradable emissions credits for personal travel:a market-based approach to achieve air quality standards[J]. International Journal of Advances in Engineering Sciences and Applied Mathematics, 2013, 5(2/3):145-157.

[9] ZHANG Xiaoning, YANG Hai, HUANG Haijun. Improving travel efficiency by parking permits distribution and trading[J]. Transportation Research Part B, 2011, 45(7):1018-1034.

[10] NIE Yu Marco, YIN Yafeng. Managing rush hour travel choices with tradable credit scheme[J]. Transportation Research Part B, 2013, 50(2):1-19.

[11] 朱广宇,吴冕,张彭. 交通信息影响驾驶人在途路径选择的关键因素及分析[J]. 中南大学学报自然科学版,2016, 47(5):1788-1793. ZHU Guangyu, WU Mian, ZHANG Peng. Key factors and analysis of influence of traffic information on route-choosing of drivers[J]. Journal of Central South University Science and Technology, 2016, 47(5):1788-1793.(in Chiese)

[12] 高峰,王明哲. 诱导信息下的路径选择行为模型[J].交通运输系统工程与信息,2010, 10(60):64-69. GAO Feng, WANG Mingzhe. Route choice behavior model with guidance information[J]. Journal of Transportation Systems Engineering and Information Technology, 2010, 10(60):64-69.(in Chinese)

[13] 徐婷,蓝瑧,胡大伟,等. 出行成本对居民出行方式的影响[J].交通运输工程学报,2013, 13(1):91-97. XU Ting, LAN Zhen, HU Dawei, et al. Influence of trip cost on trip mode for resident[J]. Journal of Traffic and Transportation Engineering, 2013, 13(1):91-97.(in Chinese)

[14] THOMAS T C. The value of time for passenger cars:an experimental study of commuters' values[J]. American Journal of Clinical Oncology, 1967, 9(2):111-112.

[15] DAWSON R F F, EVERALL P P. The value of motorists' time:a study in Italy[DB/OL]. (1973-06-19)[2017-05-01]. http://xueshu.baidu.com/s?wd=paperuri%3A%28639beb6d013c69ffe8f5794be19828c0%29&filter=sc_long_sign&tn=SE_xueshusource_2kduw22v&sc_vurl=http%3A%2F%2Ftrid.trb.org%2Fview%2F117347&ie=utf-8&sc_us=2100517186760499646.

[16] 赵顗,陆建,张文珺,等. Logit模型下的道路拥堵收费策略改善效果分析[J]. 哈尔滨工业大学学报,2017,49(3):80-85. ZHAO Yi, LU Jian, ZHANG Wenjun, et al. Improvement effect analysis of congestion pricing using Logit model[J]. Journal of Harbin Institute of Technology, 2017, 49(3):80-85.(in Chinese)

[17] 邵娟,程琳,荣建. 可交易电子路票系统收费方案及价格算法设计[J]. 道路交通与安全,2016,16(6):6-13. SHAO Juan, CHENG Lin, RONG Jian. Designing algorithm on charging scheme and price of tradable travel credits system[J]. Road Traffic & Safety, 2016, 16(6):6-13.(in Chinese)

[18] 李轶舜,徐建闵,卢凯. 区域拥挤收费与停车换乘的组合措施[J]. 华南理工大学学报自然科学版,2011, 39(10):100-104. LI Yishun, XU Jianmin, LU Kai. Measures for combining area-based congestion pricing with park and ride[J]. Journal of South China University of Technology Natural Science Edition, 2011, 39(10):100-104.(in Chinese)