面向移动终端的偶发事件信息需求与发布框架研究

目前城市交通运行特性逐渐由规律性向偶发性转变,居民对偶发事件的预警需求也日渐增加.针对常见公共交通偶发事件,通过SP公众小样本调查,从影响程度、发生频率及对居民行为影响等角度开展偶发性事件特征的深入分析;进而利用系统聚类算法实现点、局部、全局三层级的偶发事件分类.在此基础上,分析并明确不同偶发事件下居民对信息需求的类型、位置、提示时间,构建偶发事件信息需求表.通过研究移动互联环境下不同服务终端的信息发布和收取特性,获取最佳信息发布获取渠道,进而构建偶发事件信息发布框架并搭建基于手机APP移动终端的服务平台.结果表明,手机移动终端的居民使用满意率达到85%.有助于解决城市交通运行特性的不确定性与出行信息的可靠性、及时性之间的矛盾,提高交通出行效率. 

A Study on Information Demand and Publishing Framework of Accidental Events for Mobile Terminal

At present,characteristics of urban transport are gradually changing from regular to sporadic.The demand for early warning of accidents is also increasing.For accidental events in public transport,a SP survey is used to analyze the characteristics from three parts:degree of influence,frequency of occurrence,and behavior of residents.A system-clustering algorithm is used to classify accidental events into three levels:point,local,and global.A list of information requests under different accidental events is established based on analyses of different types,locations,and time of information demand.A framework and an APP of accidental events are developed to obtain the best access to information demands with analyzing characteristics of release and collection at different service terminals in Mobile Internet environment.Results show that the satisfaction rate of mobile terminals is up to 85 %.It can be conducive to deal with the conflicts between the uncertainty of characteristics of urban transport and the reliability and timeliness of travel information,then improve efficiency of urban transport.