WRS ›› 2019, Vol. 28 ›› Issue (1): 90-101.
Previous Articles Next Articles
Received:
Revised:
Online:
Published:
Supported by:
陈善浩
通讯作者:
基金资助:
Abstract: Taking the intercity travel of Zhanjiang city as the research object, the spatial behavior characteristics of intercity travel of coastal cities residents are discussed from the microcosmic point through the questionnaire survey of passengers. The results show that, ①there are "point-axis" and "patch-channel" spatial distribution patterns of intercity travel of residents’ behavior in Zhanjiang. ②the Exploratory structural equation modeling (ESEM) of 5 variable model has better fitness; and latent factors model of 3 traffic modes (highway, railway and aviation) can be generally named as convenience, economy, comfort, safety and travel preference. ③ judging from the composition of observed variables and the load of identical latent variables in the latent factors model, residents behavior characteristics of different transportation modes differ obviously. ④Age, monthly income and the average number of monthly leaving from Zhanjiang city are important covariates that affect inter-city travel behavior. The research provides a theoretical support for the human-oriented planning of transportation sites and facilities, the composition optimizing of transport system, and the capacity enhancing of transportation services.
摘要: 以湛江市居民城际出行作为研究对象,通过对乘客进行问卷实证调查,从微观角度探讨滨海城市居民城际出行空间行为特征。结果表明:○1湛江市居民省内、国内城际出行分别呈现出“点—轴”式和“斑块—通道”式空间分布格局; ○2 在行为分析上,5变量探索性结构方程模型(ESEM)模型具有较好的适配度,公路、铁路和航空3种交通方式的模型潜因子均可命名为便捷性、经济性、舒适性、安全性和出行偏好潜因子;○3通过分析模型潜因子观察变量构成及同一潜因子观察变量载荷,不同交通方式出行行为特征分异比较明显,且呈现出明显的滨海城市个性特点。④年龄、月收入和月均离湛次数是影响出行行为的重要协变量。研究为人本导向的滨海城市城际交通枢纽连线规划、交通体系组成优化、交通服务能力供给提供理论支撑。
CLC Number:
 
陈善浩. 基于ESEM的滨海城市居民城际出行空间行为探讨——以广东省湛江市为例[J]. 世界地理研究, 2019, 28(1): 90-101.
0 / Recommend
Add to citation manager EndNote|Ris|BibTeX
URL: https://sjdlyj.ecnu.edu.cn/EN/
https://sjdlyj.ecnu.edu.cn/EN/Y2019/V28/I1/90