In this Working Paper we analyse computational strategies for using aggregated spatio-temporal population data acquired from telecommunications networks to infer travel and movement patterns between geographical regions. Specifically, we focus on hour-by-hour cellphone counts for the SA-2 geographical regions covering the whole of New Zealand. This Working Paper describes the implementation of the inference algorithms, their ability to produce models of travel patterns during the day, and lays out opportunities for future development.

翻译：本工作论文分析了利用从电信网络获取的聚合时空人口数据推断地理区域间出行与移动模式的计算策略。具体而言，我们聚焦覆盖新西兰全境的SA-2地理区域的小时级手机用户数量统计。本文描述了推断算法的实现方法、其在生成日间出行模式模型方面的能力，并展望了未来发展的机遇。