- 交通
- 文章编号：1009-6000(2019)03-0103-07
- 中图分类号：U121 文献标识码：B
- Doi：10.3969/j.issn.1009-6000.2019.03.015
- 项目基金：国家自然科学基金：家庭日常活动—出行行为交互机理及决策过程建模（51668029）。
- 作者简介：何彦，女，东南大学建筑学院，博士研究生；吴晓，男，东南大学建筑学院，教授，博士生导师，通信作者；何保红，女，昆明理工大学交通工程学院，博士，教授；李咏春，昆明理工大学交通工程学院，硕士研究生。
- 生命历程视角下居民自行车使用行为研究 ——以昆明市主城区为例
- The Cycling Behavior of Urban Residents from a Perspective of Life Course: A Case Study of Kunming
- 何彦 吴晓 何保红 李咏春
- HE Yan WU Xiao HE Baohong LI Yongchun
- 摘要：
社会学视角为研究居民自行车使用行为提供了新思路，文章尝试将社会学中的生命历程理论融入到自行车行为选择中。利用昆明市2011年居民出行行为调查数据，综合考虑家庭生命周期、生活事件、生活方式及个体社会经济属性，构建了居民自行车选择机理的结构方程模型。结果表明：居民自行车出行目的、出行次数、出行距离呈现出较为明显的生命历程特征；其中，单身期时，个体使用自行车非通勤频率较高；家庭生命周期进入新婚阶段后成员的增加以及对子女教育的重视，自行车使用明显减少，甚至会放弃使用；步入老年期后自行车使用呈上升趋势。生活事件的发生对个体自行车使用行为有显著负效应，迁居和购买小汽车事件可能会触发个体直接放弃使用自行车；此外，高收入群体对自行车使用产生抑制作用，租房比自有住房群体更多使用自行车通勤和非通勤。这些结论丰富了自行车使用行为研究的维度，为实施绿色交通政策具有更加全面和深入的理论意义。 - 关键词：
生命历程；自行车使用轨迹；家庭生命周期；生活事件；结构方程模型；昆明 - Abstract: This paper attempts to integrate the theory of life course into cycling behavior based on the sociological perspective. A travel-based survey was conducted in 2011, and a structural equation model was developed to analyze the mechanism of cycling behavior based on the survey date. The estimated model takes family life-cycle, life event, life style and individual socio-demographics into account. Results show that obvious characteristics of life course existed in the purpose, frequency and distance of bicycle travel. Individuals use bicycle to participate in non-work activities when single. After entering the marriage period, increasing family¡¯s members and attaching importance to children¡¯s education, residents decrease cycling, even directly stop cycling. In the old age, individuals start cycling for body building. The occurrence of life events has a significant negative effect on cycling behavior, the move and buying a car may trigger residents to give up cycling. In addition, high-income groups have a negative effect on bicycle use. Rental group use bicycles to participate in commuting and non-work activities more than other homeowners. These findings enrich the dimensions of research on cycling behavior, and also contribute to the implementation of green transport policy.
- Key words: life course; cycling trajectory; family life cycle; events; structural equation model (SEM); Kunming