Department of Civil Engineering, School of Engineering, The University of Tokyo, Tokyo, Japan.
Computing and Communications Department, The Open University, Milton Keynes, United Kingdom.
PLoS One. 2013 Dec 18;8(12):e81153. doi: 10.1371/journal.pone.0081153. eCollection 2013.
This study explores the effects that the weather has on people's everyday activity patterns. Temperature, rainfall, and wind speed were used as weather parameters. People's daily activity patterns were inferred, such as place visited, the time this took place, the duration of the visit, based on the GPS location traces of their mobile phones overlaid upon Yellow Pages information. Our analysis of 31,855 mobile phone users allowed us to infer that people were more likely to stay longer at eateries or food outlets, and (to a lesser degree) at retail or shopping areas when the weather is very cold or when conditions are calm (non-windy). When compared to people's regular activity patterns, certain weather conditions affected people's movements and activities noticeably at different times of the day. On cold days, people's activities were found to be more diverse especially after 10AM, showing greatest variations between 2PM and 6PM. A similar trend is observed between 10AM and midnight on rainy days, with people's activities found to be most diverse on days with heaviest rainfalls or on days when the wind speed was stronger than 4 km/h, especially between 10AM-1AM. Finally, we observed that different geographical areas of a large metropolis were impacted differently by the weather. Using data of urban infrastructure to characterize areas, we found strong correlations between weather conditions upon people's accessibility to trains. This study sheds new light on the influence of weather conditions on human behavior, in particular the choice of daily activities and how mobile phone data can be used to investigate the influence of environmental factors on urban dynamics.
这项研究探讨了天气对人们日常活动模式的影响。使用温度、降雨量和风速作为天气参数。根据手机 GPS 位置轨迹和黄页信息,推断出人们的日常活动模式,例如访问地点、访问时间、访问持续时间等。我们对 31855 名手机用户的分析表明,当天气非常寒冷或无风时,人们更有可能在餐馆或食品店停留更长时间,(在较小程度上)在零售店或购物区停留更长时间。与人们的常规活动模式相比,某些天气条件在一天中的不同时间明显影响着人们的运动和活动。在寒冷的天气里,人们的活动变得更加多样化,特别是在上午 10 点以后,下午 2 点到 6 点之间的变化最大。在雨天也观察到类似的趋势,从上午 10 点到午夜,人们的活动在降雨量最大或风速超过 4 公里/小时的日子里最为多样化,特别是在上午 10 点到凌晨 1 点之间。最后,我们观察到一个大城市的不同地理区域受到天气的影响不同。使用城市基础设施数据来描述区域,我们发现天气条件对人们乘坐火车的可达性有很大的影响。这项研究揭示了天气条件对人类行为的影响,特别是对日常活动的选择,以及如何利用移动电话数据来研究环境因素对城市动态的影响。