When observing the temporal trajectory of an individual, there is a high probability of them visiting an already-known place due to habit and routine in human mobility behavior. To collect data and understand these routine activities, we propose the Place Generator and the Place Interpreter, a survey adapted from the Name Generator and Name Interpreter methodology of social network studies for travel behavior. In the survey, we asked the participants to name the venues they regularly visit for leisure by category. This methodology captures the characteristics of the venues and the reasons to be chosen. We tested this method in the Zurich Metropolitan Area in Switzerland, focusing on leisure activities and the social environment of the venues. Hence, we ask the individuals to describe the reasons for choosing that specific location and the sociodemographic characteristics of the other visitors. This methodology worked well when compared with earlier long-duration GPS tracking surveys. Respondents report, on average, 9.85 locations for nine types of venues, mainly supermarkets and restaurants or cafes, and respondents can describe their similarities with other visitors to that location. The survey is complemented with a survey of sociodemographic characteristics and the respondent’s ego-centric social network to get information on social connections and their impact on leisure activity.

当观察一个人的时间轨迹时，由于人类移动行为的习惯和惯例，他们很有可能访问一个已知的地方。为了收集数据并了解这些日常活动，我们提出了地点生成器和地点解释器，这是一项根据旅行行为社交网络研究的名称生成器和名称解释器方法改编的调查。在调查中，我们要求参与者按类别列出他们经常去的休闲场所。这种方法抓住了场地的特点和选择的原因。我们在瑞士苏黎世都会区测试了这种方法，重点关注休闲活动和场馆的社交环境。因此，我们要求个人描述选择该特定地点的原因以及其他访客的社会人口特征。与早期的长期 GPS 跟踪调查相比，这种方法效果良好。受访者平均报告了九种类型场所的 9.85 个地点，主要是超市和餐馆或咖啡馆，受访者可以描述他们与该地点的其他游客的相似之处。该调查还辅以社会人口特征和受访者以自我为中心的社交网络的调查，以获取有关社会联系及其对休闲活动影响的信息。