居民出行活动特征与收入水平的关系——以上海市为例

发布时间：2018-06-20 06:22

本文选题：出行活动 + 移动性指标　；参考：《地理科学进展》2017年09期

【摘要】：居民出行活动与居民的收入水平关系是公共交通、城市地理研究的重要问题。传统获取居民出行活动信息主要基于问卷调查的方式,不仅成本高、样本量有限,且研究局限于定性讨论,研究结果易因受访者的主观意识而产生偏颇。随着信息技术的革新,传感器记录的大规模人类活动信息为研究居民出行活动特征与居民收入水平关系提供了可能性。本文利用上海市居民时空轨迹数据,从居民出行活动的角度出发,首先构建居民出行活动指标,并利用主成分分析法提取居民出行活动特征的主要成分;然后对主成分进行K-Means聚类,并针对不同出行活动特征的类别,分析居民出行活动特征与居民收入水平的关系,结果表明:(1)居民出行地点多样性与居民出行范围大小是反映居民出行活动特征的主要成分;(2)移动范围越小、移动地点多样性越低的居民类别,其平均工资水平越高;(3)不同移动性特征的类别平均收入水平差异与各类别居民工作地的产业发展有关。研究结论可为城市规划及相关经济政策制定提供参考。
[Abstract]:The relationship between residents' travel activities and residents' income level is an important issue in the study of public transportation and urban geography. The traditional method of obtaining resident travel information is mainly based on questionnaire survey, which is not only high cost, limited sample size, but also limited to qualitative discussion. The results are biased by the subjective consciousness of the respondents. With the innovation of information technology, the information of large-scale human activities recorded by sensors provides the possibility to study the relationship between the characteristics of travel activities and the income level of residents. In this paper, based on the spatial and temporal trajectory data of Shanghai residents, from the perspective of residents' travel activities, the index of residents' travel activity is first constructed, and the main components of the characteristics of residents' travel activities are extracted by principal component analysis (PCA). Then K-Means clustering is applied to the principal components, and the relationship between the characteristics of travel activities and the income level of residents is analyzed according to the different types of travel activities. The results showed that: (1) the diversity of residents' travel sites and the size of residents' travel range were the main components reflecting the characteristics of residents' travel activities. (2) the smaller the moving range, the lower the diversity of mobile locations. The higher the average wage level is, the higher the average income level of different categories of mobility is related to the industrial development of the working places of different categories of residents. The conclusions can provide reference for urban planning and related economic policy formulation.
【作者单位】：中国科学院地理科学与资源研究所;中国科学院资源与环境信息系统国家重点实验室;中国科学院大学;中国科学院遥感与数字地球研究所;
【基金】：国家自然科学基金项目(41525004,41421001)~~
【分类号】：U491

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