The elderly may have unique, daily travel behaviour characteristics compared to other age groups, associated with age and physical ability. Defining these characteristics can inform urban infrastructure construction and planning. In this study, 20 elders aged between 60 and 70 years, living in the city centre of Tianjin, were selected to complete the survey. A total of 2232 hours of participant travel behaviour were collected via GPS equipment from July to August 2019. Data were used to create a space–time cube. Based on a statistical analysis of the GPS data, results indicated that the elderly mainly had six kinds of daily travel behaviours: visiting, shopping, outdoor exercise, eating out, going to the hospital and picking up and dropping off grandchildren. The main activity time was from 10:00 a.m. to 9:00 p.m. Their travel mode was mostly pedestrian-based, with an average single travel distance of about 1.01 km, and an average single travel time of about 0.5 hours. Using the space–time cube, characteristics of elderly daily travel behaviour were visualised. In addition, a typical space–time cube was summarised and presented. Data and methods from this study can provide reference and support for future-related research.

与其他年龄组相比，老年人可能具有独特的日常出行行为特征，这与年龄和身体能力有关。定义这些特征可以为城市基础设施建设和规划提供信息。本研究选取了居住在天津市中心的 20 名年龄在 60 至 70 岁之间的老年人来完成调查。从 2019 年 7 月到 8 月，通过 GPS 设备总共收集了 2232 小时的参与者旅行行为。数据用于创建时空立方体。对GPS数据进行统计分析，结果表明，老年人的日常出行行为主要有六种：参观、购物、户外运动、外出就餐、去医院和接送孙子孙女。主要活动时间为上午10:00至晚上9:00 他们的出行方式多以步行为主，平均单次出行距离约为1.01公里，平均单次出行时间约为0.5小时。使用时空立方体，老年人日常出行行为的特征被可视化。此外，还总结并展示了一个典型的时空立方体。本研究的数据和方法可为今后的相关研究提供参考和支持。