1. School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210093, China;
2. School of Architecture and Urban Planning, Nanjing University, Nanjing 210093, China
Abstract：Along with the expansion of the city, both the commuting distance and commute time increase which influences city residents to improve the quality of life. So there is a strong need to explore the influencing factors of residents' commute time. With applying CHAID model of decision tree, the author makes an empirical study of Nanjing city based on questionnaire survey, data collection and analysis. The author discusses the factors influencing the residents' commute time and the interaction effect within factors. The results indicate that: ① there are nine factors: the preferred commuting tool, the occupation type, the gender, the monthly transportation fee, the housing sources, the number of schools within 800M radiation radius, the place of residence changed or not, whether there is a subway station within 1km radiation radius and the housing area that influence different groups of residents' commute time, but the impact correlation declines one by one; ② the preferred commuting tool is the most important influential factor; ③ the occupation type is the second; ④ the gender, the monthly traffic fee and the housing information also influence different groups of residents commute time, but the impact is declining. Then according to the classification results, the paper summarizes the certain characteristics on Nanjing city residents' commute time influencing factors. Finally, the author puts forward some suggestions to improve the urban commuting.
熊丽芳, 甄峰, 钱前, 黄莹. 基于CHAID决策树方法的城市居民通勤时间影响因素分析——以南京为例[J]. 人文地理, 2013, 28(6): 68-73,35.
XIONG Li-fang, ZHEN Feng, QIAN Qian, HUANG Ying. THE INFLUENCING FACTORS ANALYSIS OF CITY RESIDENTS' COMMUTE TIME BASED ON CHAID MODEL OF DECISION TREE: A CASE STUDY OF NANJING. HUMAN GEOGRAPHY, 2013, 28(6): 68-73,35.
