智能交通技术下居民绿色出行影响因素研究——基于TPB和TAM整合模型的扎根分析  

Factors Affecting Residents' Green Travel under Intelligent Transportation Technology:Grounded Theory Analysis Based on an Integration Model of TPB and TAM

作　　者：李华强 武晨 范春梅[2] LI Huaqiang;WU Chen;FAN Chunmei

机构地区：[1]西南交通大学公共管理与政法学院 [2]西南交通大学经济管理学院

出　　处：《现代城市研究》2018年第12期1-8,共8页Modern Urban Research

基　　金：教育部人文社会科学研究青年基金项目“突发性环境污染事件中的从众行为发生机理和对策研究”(编号:17YJC630056);国家自然科学基金青年项目产品,激励与种子顾客的交互模式对口碑传播效果的影响及机理研究(编号:71402150);四川省社会科学重点研究基地西部交通战略与区域发展研究中心资助项目“成兰铁路对四川民族地区旅游的影响机制与融合发展对策研究”(编号:XJQ007).

摘　　要：本文基于计划行为理论和技术接受模型,结合居民绿色出行行为的特点,以新浪微博为数据源,构建了居民绿色智能出行行为影响因素模型。研究发现,智能交通技术的感知有用性和感知易用性影响居民绿色出行态度;绿色出行态度、主观规范、知觉行为控制影响绿色出行意向;制度技术情境调节绿色出行行为。研究结果为政府及企业有效促进我国城市居民践行绿色出行行为提供理论依据和决策参考。Based on the technology acceptance model and theory of planned behavior, the study used grounded theory method to establish the model of residents’ green and intelligent travel behavior influencing factors. Data is collected on Sina micro-blog. Results indicate that perceived usefulness and perceived ease of use of intelligent transportation technology has a significant influence on attitude. Green travel attitude, subjective norms and perceived behavioral control have a positive effect on behavior intention. In addition, the relationship between green travel intention and green travel behavior is moderated by institutional and technical context. From the perspective of innovation, this paper reveals the important role of intelligent transportation technology and institutional and technical context in green travel behavior, and provides a theoretical and practical basis for the government and enterprises to effectively motivate residents' green travel behavior.

关 键 词：绿色出行 智能交通技术 计划行为理论 技术接受模型 

分 类 号：U-9[交通运输工程]