论文标题
通过手机数据测量城市流动性的空间细分
Measuring Spatial Subdivisions in Urban Mobility with Mobile Phone Data
论文作者
论文摘要
城市人口不断增长。到2050年，世界人口的三分之二将位于城市地区。这种增长比城市衡量和计划其可持续性的能力更快，更复杂。为了了解使城市包容的是什么，我们定义了一种方法来识别和表征空间细分：分别被称为热点和冷点的特定人群群体过多和代表性不足的地区。使用汇总的手机数据，我们将此方法应用于巴塞罗那市，以评估三组人的流动性：妇女，长老和游客。我们发现，在这三个组中，冷点比热点要比热点较低。同样，妇女和游客的冷点往往较低。这些见解适用于巴塞罗那的浮动人口，从而扩大了如何在城市分析包容性的范围。
Urban population grows constantly. By 2050 two thirds of the world population will reside in urban areas. This growth is faster and more complex than the ability of cities to measure and plan for their sustainability. To understand what makes a city inclusive for all, we define a methodology to identify and characterize spatial subdivisions: areas with over- and under-representation of specific population groups, named hot and cold spots respectively. Using aggregated mobile phone data, we apply this methodology to the city of Barcelona to assess the mobility of three groups of people: women, elders, and tourists. We find that, within the three groups, cold spots have a lower diversity of amenities and services than hot spots. Also, cold spots of women and tourists tend to have lower population income. These insights apply to the floating population of Barcelona, thus augmenting the scope of how inclusiveness can be analyzed in the city.
