Piovani Duccio, Molinero Carlos, Wilson Alan
Centre for Advanced Spatial Analysis (CASA), University College London (UCL), 90 Tottenham Court Road, London, W1T 4TJ, United Kingdom.
The Alan Turing Institute, British Library, 96 Euston Road, London, NW1 2DB, United Kingdom.
PLoS One. 2017 Oct 4;12(10):e0185787. doi: 10.1371/journal.pone.0185787. eCollection 2017.
Characterising road networks has been the focus of a large body of research due to it being the main driver of activities in an urban ecosystem and the structuring factor in the dynamics of the city. One of these activities, and one with the largest economical impact in a city, is retail dynamics and its evolution. Therefore, the mathematical modeling of the location of retail activities and of the emergence of clustering in retail centers has as well generated a large number of works. Despite these two interwoven components strongly depending on one another and their fundamental importance in understanding cities, little work has been done in order to compare their local and global properties. Here we compare the road network's hierarchical structure, unveiled through a percolation analysis of the network, with the retail location distribution defined by exploiting a gravity-based retail model. We interpret the great agreement in the city's organizations as it emerges from both methodologies as new evidence of the interdependence of these two crucial dimensions of a city's life.
由于道路网络是城市生态系统中活动的主要驱动力以及城市动态的结构因素，对其进行特征描述一直是大量研究的重点。其中一项活动，也是对城市经济影响最大的活动之一，是零售动态及其演变。因此，零售活动选址和零售中心集群出现的数学建模也产生了大量研究成果。尽管这两个相互交织的组成部分彼此高度依赖，且在理解城市方面具有根本重要性，但为比较它们的局部和全局属性所做的工作却很少。在此，我们通过对网络的渗流分析揭示的道路网络层次结构，与利用基于引力的零售模型定义的零售位置分布进行比较。我们将从这两种方法中得出的城市组织方面的高度一致性解释为城市生活这两个关键维度相互依存的新证据。
