基于移动互联交通信息的居民出行方式特性

为研究移动互联网时代下的居民出行特性，探索在出行链过程中移动互联交通信息对出行方式特性的影响。通过RP-SP(revealed preference-stated preference)融合调查获取出行者基本属性、实时交通信息属性及出行特征属性，建立居民出行方式选择巢式Logit模型，对桂林市居民展开出行方式选择特性调查。研究结果表明：在出行链日趋复杂的情况下，个体的出行活动和交通行为与移动互联交通信息关系愈发紧密；移动互联交通信息对居民出行方式特性产生显著影响，尤其对私家车出行影响最大，其中实时路况信息属性影响最为显著，其次为拥堵延误时间；交通信息获取的满意度越高，越能促进居民选择公共交通出行。该结论能够作为理论基础与实证依据推动移动互联交通信息下的路径选择与交通出行诱导提供研究依据。

Residents' Travel Mode Characteristics Based on Mobile Internet Traffic Information

The impact of mobile Internet traffic information on the characteristics of travel methods during the travel chain is explored to investigate the characteristics of residents'' travel in the era of mobile Internet. The basic attributes of travelers, real-time traffic information attributes and travel characteristics attributes are obtained in this study through the RP-SP fusion survey, and a Nested Logit model for residents'' travel mode selection is established to conduct a travel mode selection characteristic survey for residents in Guilin. Findings of the study show: Individual travel activities and traffic behavior are increasingly closely related to mobile internet traffic information as the travel chain becomes increasingly complex; mobile internet traffic information has a significant impact on the characteristics of residents'' travel methods, especially on private car travel, of which real-time traffic information attributes are the most significant, followed by congestion delays; the higher the satisfaction of traffic information acquisition, the more likely it is for residents to choose public transport. It can be used as a theoretical basis and empirical basis to promote path selection and traffic guidance under mobile internet traffic information for research.