作　　者： ; ; ; ; ;

机构地区： 北京大学城市与环境学院城市与经济地理系

出　　处： 《人文地理》 2009年第6期1-9,共9页

摘　　要： 微观个体行为的时空数据逐渐成为人文地理学微观过程研究和非汇总方法应用的重要定量依据,而如何高效而准确地生产和管理较大样本的行为数据则是当前制约城市活动-移动系统分析与规划的重要瓶颈。本文以2007年在北京市进行的两天活动日志调查作为案例分析,在国内首次从理论和方法论上探讨微观个体行为时空数据的生产过程和数据质量管理。其中,侧重于理论与经验,从调查内容、调查方式、日志设计、样本抽样和数据库设计等五个方面探讨微观个体行为时空数据的生产过程;并侧重于方法论,探讨如何定量地评估数据的可靠性、有效性和完整性等质量管理标准。最后提出,高质量个体行为数据的获得需要更多的数据生产和管理经验的研究与分享,以及更多数据源的合作共享与比较分析。 The space-time data of individual＇s behaviors gradually grow to be one of the most important quantitative foundations of disaggregated modeling and analysis in the researches of micro-process and behavior-based human geography and transportation. However, how to efficiently and actually produce and manage large-sample disaggregated data, especially the behavior data in daily life, are the main blockage to the researches such as travel demand management and urban activity-travel system. Though there have been a number of trip-based and time-use surveys implemented by local or national statistical departments, seldom literatures discuss the theories and methodologies of production and management of disaggregated data in China's Mainland. Therefore, this paper explores the production and management of individual space-time data in theory and methodology, using the case of two-day activity-diary survey in 2007 Beijing. The production process of space-time data includes five processes of survey contents, survey mode, diary design, sampling and database design. The methods with which how to quantitatively access the reliability, validity and completeness of disaggregated data are presented and discussed. At last, we proposed high-quality individual＇s behavioral data need more studies, comparing and sharing of the practical experiments from the production and management.

关 键 词： 时空数据 活动 移动行为 活动日志调查 数据质量管理 回归模型

领　　域： [历史地理]