Research on Information Demand and Publishing Framework about Public Infrequent Events Based on Residents Feature

Abstract:

Traffic operation characteristics of the city gradually changed from simplicity to comprehensiveness. In this paper, different influence of episodic events was analyzing from angle of the students, commuter, retirees, according to the common accidental event types of public traffic. Combined with the SP public small sample survey, different residents requirement on information about type, location, prompting time was analyze and contingency information request form was constructed. Besides, the best information publishing channels of different groups was discussed and contingency framework was built. In addition, mobile phone APP mobile terminal was developed and the framework of information release was constructed. All in all, the goal is to solve the conflict between city residents travel demand and travel information accessibility, timeliness, accuracy, and to improve transportation efficiency.

• Periodical: Applied Mechanics and Materials (Volumes 668-669)
• Pages: 1470-1475
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.668-669.1470
• Online since: October 2014
• Authors: Li Shan Sun*, Jing Qiao, Wei Luo, Ling Sun
• Keywords: Accidental Event, Information Demand, Residents Feature, Urban Transportation

References

[1] Wright C, Roberg P. The conceptual structure of traffic jams [J]. Transport Policy, 1998, 5: 23-35.

DOI: 10.1016/s0967-070x(98)00006-7

[2] YAN Xinping, ZHANG Cunbao, XIAO Wangxin. The influence of emergency accidents on urban traffic system and its policy[C]. The 7thInternational Conference of Chinese Transportation Professionals. China: Xian, 2005: 792- 796.

[3] WU Z, XIA Z. The Research of Information Integration and Application for Urban Rail Transit Emergency Management [J]. Journal of Transportation Systems Engineering and Information Technology, 2011, 5: 009.

[4] Nan Liu, Bo Huang, et al. Using Ant Algorithm to Derive Pareto Fronts for Multi objective Siting of Emergency Facilities. Transportation Research Board (CD-ROM), 84th Annual Meeting, Washington, D. C. (2005).

DOI: 10.1177/0361198105193500114

[5] Mohamed A. Abdel-Aty. 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.

DOI: 10.1016/s0968-090x(00)00037-1

[6] Lyons G, Urry J. Travel Time Use in the Information Age[J]. Transportation Research Part A: Policy and Practice, 2005, 39(2-3): 257-276.

DOI: 10.1016/j.tra.2004.09.004