Department of Computer Science, University of Exeter, Exeter, United Kingdom.
Department of Mathematical Sciences, University of Essex, Colchester, United Kingdom.
PLoS One. 2021 Jun 2;16(6):e0252015. doi: 10.1371/journal.pone.0252015. eCollection 2021.
The concept of urban vibrancy has become increasingly important in the study of cities. A vibrant urban environment is an area of a city with high levels of human activity and interactions. Traditionally, studying our cities and what makes them vibrant has been very difficult, due to challenges in data collection on urban environments and people's location and interactions. Here, we rely on novel sources of data to investigate how different features of our cities may relate to urban vibrancy. In particular, we explore whether there are any differences in which urban features make an environment vibrant for different age groups. We perform this quantitative analysis by extracting urban features from OpenStreetMap and the Italian census, and using them in spatial models to describe urban vibrancy. Our analysis shows a strong relationship between urban features and urban vibrancy, and particularly highlights the importance of third places, which are urban places offering opportunities for social interactions. Our findings provide evidence that a combination of mobile phone data with crowdsourced urban features can be used to better understand urban vibrancy.
城市活力的概念在城市研究中变得越来越重要。充满活力的城市环境是城市中人类活动和互动水平较高的区域。传统上，由于城市环境和人们的位置和互动数据收集方面的挑战，研究我们的城市及其活力来源非常困难。在这里，我们依靠新颖的数据来源来研究我们城市的不同特征如何与城市活力相关。特别是，我们探索了不同年龄组的城市特征对于环境活力的影响是否存在差异。我们通过从 OpenStreetMap 和意大利人口普查中提取城市特征，并在空间模型中使用它们来描述城市活力，从而进行定量分析。我们的分析表明城市特征与城市活力之间存在很强的关系，特别是强调了第三空间的重要性，即提供社交互动机会的城市空间。我们的研究结果提供了证据表明，将手机数据与众包的城市特征相结合，可以用于更好地理解城市活力。
