时空间行为调查的回顾与未来展望

随着理论与方法体系不断完善,时空间行为研究近年来越来越重视实践应用导向,同时也面临构建解释时空间行为的一般理论的使命,对研究数据提出了新的要求.本文回顾时空间行为调查的进展,认为时空间行为调查在方法上与移动定位技术的结合日益密切,数据质量得到较大提升;在内容上越来越重视个体行为的能动性以及行为的社会、环境意义.在此基础...

SPACE-TIME BEHAVIOR SURVEYS: STATE-OF-THE-ART AND PROSPECTS

Space-time behavior as a well-established construct in urban studies and planning has received increasing scholarly attention since being proposed in early 1970s. The studies of space-time behavior, facilitated by individual activity-travel data, have constituted an effective theoretical lens to decipher the associations between human behavior and geographical spaces. More recently, researchers have endeavored to inform policies and planning through analyses of space-time behavior data, as well as to generalize empirical findings into new discourses on how human behavior interacts with geographical spaces. These attempts necessitate an effort to collect large-sized and real-time data for realistic planning programs, as well as longitudinal data to validate causality between geographical spaces and human behavior. This paper presents a review of state-of-the-art of space-time behavior surveys. It articulates that beyond paper-based questionnaires as the most commonly used data collection method, the fast development of GPS tracking technologies in the recent decades has enabled collection of high-resolution data and realistic travelling trajectories. Also, space-time behavior surveys have increasingly expanded their focuses to subjective and socio-cultural aspects of human behavior, as well as social and environmental implications of space-time behavior. Through identifying the challenges and prospects confronting space-time behavior surveys, this paper highlights the needs to integrate space-time behavior surveys with big data and to conduct qualitative and longitudinal surveys in the future studies in order to facilitate planning applications and theory development. The review and prospects presented in this paper can also inform future studies of space-time behavior in Chinese cities.