Transportation Letters ( IF 2.8 ) Pub Date : 2019-12-23 , DOI: 10.1080/19427867.2019.1705527 Alireza Abbasi 1 , Taha Hossein Rashidi 2
ABSTRACT
Unlike the past studies targeting overall mobility patterns, we examined a wide range of probability density functions among which Weibull found to better explain the human mobility rather than the widely tested power-law distribution. We further examined a variety of factors affecting human mobility such as people’s trip attributes and socio-demographics traits. Moreover, the models show that social media active people travel mainly short distances; while people traveling to and from areas with higher economic and social advantages are more likely to explore a wider area within a city.
中文翻译:
个人或全球城市人口流动性?
摘要
与以往针对整体流动性模式的研究不同,我们研究了广泛的概率密度函数,其中威布尔发现该函数可以更好地解释人类流动性,而不是经过广泛测试的幂律分布。我们进一步研究了影响人们流动性的各种因素,例如人们的出行属性和社会人口统计学特征。此外,模型显示,社交媒体活跃人群主要是短途旅行。而来往于具有较高经济和社会优势的地区的人们更可能在城市中探索更大的区域。