The estimation and analysis of road traffic represent the preliminary steps towards satisfying
the current needs for smooth, safe, and green transportation. Therefore, effective traffic …

Urban day-to-day travel systems generally exist in various types of cities. Their modeling is
difficult due to the uncertainty of individual travelers in micro travel decision-making …

Mobile phones have achieved a high rate of penetration and gained great interest in the
field of travel behavior studies. However, mobile phone data exploitation for national travel …

The rapid urbanization has brought great challenges to the transportation network. However,
travel flow at peak hours is not always the same. It is important to investigate how travel flow …

The land-use identification process, which involves quantifying the types and intensity of
human activities at a regional level, is a critical investigation step for ongoing land-use …

Big mobility data (BMD) have shown many advantages in studying human mobility and
evaluating the performance of transportation systems. However, the quality of BMD remains …

The study analyses the hidden relationship between transport and ICT use for an extensive
sample of 26,500 EU citizens. To that aim, a fuzzy clustering Eco-extended apostle model is …

Mobile data traffic is characterized by complex spatiotemporal fluctuations that are linked in
entangled ways to the mobility and diverse activities of the mobile network subscribers …

现有的城市居民出行调查周期较长, 交通小区划分粒度粗糙, 导致调查不能及时准确地获取居民
出行信息. 针对该问题, 提出了一种基于手机信令数据的城市居民动态OD 矩阵提取方法. 首先 …

We estimate the impact of global warming on tourism based on mobile phone signaling data
of more than 300 million individuals in China. The signaling data enable identification of …