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基于混合选择模型的绿色就医出行方式 被引量:1

Choice Behavior of Green Medical Travel Based on Mixed Choice Model
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摘要 为增加医院绿色就医出行吸引力,探究医院周边交通基础设施配置对绿色就医出行方式选择行为意向的影响,采用问卷调查法获取就医出行者个人属性、出行特征、客观环境、政策措施与出行行为方式选择心理意向特征之间关联数据,基于扩展计划行为理论模型和离散选择模型构建混合分析模型,开展变量影响及影响路径分析.最后总结梳理了医院周边慢行交通出行设施一体化配置方法.结果表明:医院周边慢行出行环境服务水平、慢行道路网密度对绿色就医出行方式选择意向呈正向影响关系,而公交站点布设距离则对绿色就医意向呈负向影响关系,说明改善医院周边慢行交通环境、建立慢行系统和公交系统一体化是促进选择意向转移的重要手段.该研究为城市医院地区街道更新提供指引. To increase the attractiveness of green medical travel, and explore the influence of transportation infrastructure configuration around hospitals on the behavior intention of green medical travel mode selection, a questionnaire survey was conducted to obtain the correlation data between personal attributes, travel characteristics, objective environment, policy measures and psychological intention characteristics of medical travel mode selection. Based on the extended planned behavior theory model and discrete choice model, a hybrid analysis model was constructed to analyze the impact of variables and the impact path. Finally, the allocation methods of slow traffic facilities around the hospital were summarized and combed. Results show that the service level of the slow travel environment around the hospital and the density of the chronic road network have a significant positive impact on the green medical intention, while the layout of bus stops has a significant negative impact on the green medical intention, indicating that improving the slow traffic environment around the hospital and buliding the integration of slow traffic system and public transport system is an important means to promote the transfer of choice intention. This study provides guidance for street renewal in urban hospital areas.
作者 周晨静 聂欣月 戴冀峰 冉越 ZHOU Chenjing;NIE Xinyue;DAI Jifeng;RAN Yue(School of Civil and Traffic Engineering,Beijing University of Civil Engineering and Architecture,Beijing 100044,China;Beijing Jiaoyan Urban Transportation Technology Co.,Ltd.,Beijing 100081,China)
出处 《北京工业大学学报》 CAS CSCD 北大核心 2022年第5期533-542,共10页 Journal of Beijing University of Technology
基金 国家自然科学基金资助项目(517008037)。
关键词 计划行为 出行方式转移 潜变量 混合选择模型 绿色出行 就医出行 planning behavior transfer of travel mode latent factor mixed selection model green travel medical travel
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