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Cities are typical dynamic complex systems that connect people and facilitate interactions. Revealing universal collective patterns behind spatio-temporal interactions between residents is crucial for various urban studies, of which we are…

Physics and Society · Physics 2024-06-11 Chenxin Liu , Yu Yang , Bingsheng Chen , Tianyu Cui , Fan Shang , Jingfang Fan , Ruiqi Li

Human mobility anomaly detection based on location is essential in areas such as public health, safety, welfare, and urban planning. Developing models and approaches for location-based anomaly detection requires a comprehensive dataset.…

Social and Information Networks · Computer Science 2024-10-15 Hossein Amiri , Ruochen Kong , Andreas Zufle

In recent decades the world has experienced rates of urban growth unparalleled in any other period of history and this growth is shaping the environment in which an increasing proportion of us live. In this paper we use a longitudinal…

Physics and Society · Physics 2015-12-21 Matthew Daggitt , Anastasios Noulas , Blake Shaw , Cecilia Mascolo

Car-hailing services have become a prominent data source for urban traffic studies. Extracting useful information from car-hailing trace data is essential for effective traffic management, while discrepancies between car-hailing vehicles…

Applications · Statistics 2024-12-24 Jiannan Mao , Lan Liu , Hao Huang , Weike Lu , Kaiyu Yang , Tianli Tang , Haotian Shi

Urban traffic analysis is crucial for traffic forecasting systems, urban planning and, more recently, various mobile and network applications. In this paper, we analyse urban traffic with network and statistical methods. Our analysis is…

Physics and Society · Physics 2016-06-23 Kai Zhao

We perform a systematic analysis on the large-scale taxi trip data to uncover urban mobility and city dynamics in multimodal urban transportation environments. As a case study, we use the taxi origin-destination trip data and some…

Computation · Statistics 2018-12-27 Xiao-Feng Xie , Zunjing Jenipher Wang

Trip flow between areas is a fundamental metric for human mobility research. Given its identification with travel demand and its relevance for transportation and urban planning, many models have been developed for its estimation. These…

Physics and Society · Physics 2023-09-06 Erjian Liu , Mattia Mazzoli , Xiao-Yong Yan , Jose J. Ramasco

Online social networks being extended to geographical space has resulted in large amount of user check-in data. Understanding check-ins can help to build appealing applications, such as location recommendation. In this paper, we propose…

Social and Information Networks · Computer Science 2016-10-13 Jun Pang , Yang Zhang

A fundamental problem of interest to policy makers, urban planners, and other stakeholders involved in urban development projects is assessing the impact of planning and construction activities on mobility flows. This is a challenging task…

Social and Information Networks · Computer Science 2020-04-28 Gevorg Yeghikyan , Felix L. Opolka , Mirco Nanni , Bruno Lepri , Pietro Lio'

As cities expand, human mobility has become a central focus of urban planning and policy making to make cities more inclusive and sustainable. Initiatives such as the "15-minutes city" have been put in place to shift the attention from…

Social and Information Networks · Computer Science 2021-06-09 Eduardo Graells-Garrido , Feliu Serra-Burriel , Francisco Rowe , Fernando M. Cucchietti , Patricio Reyes

Different routing strategies may result in different behaviors of traffic on internet. We analyze the correlation of traffic data for three typical routing strategies by the detrended fluctuation analysis (DFA) and find that the degree of…

Networking and Internet Architecture · Computer Science 2008-06-12 Xiaoyan Zhu , Zonghua Liu , Ming Tang

Car sharing is one the pillars of a smart transportation infrastructure, as it is expected to reduce traffic congestion, parking demands and pollution in our cities. From the point of view of demand modelling, car sharing is a weak signal…

Computers and Society · Computer Science 2017-08-03 Chiara Boldrini , Raffaele Bruno , Haitam Laarabi

The widespread use of positioning devices (e.g., GPS) has given rise to a vast body of human movement data, often in the form of trajectories. Understanding human mobility patterns could benefit many location-based applications. In this…

Social and Information Networks · Computer Science 2020-03-18 Meng Chen , Xiaohui Yu , Yang Liu

In the era of big data, the ubiquity of location-aware portable devices provides an unprecedented opportunity to understand inhabitants' behavior and their interactions with the built environments. Among the widely used data resources,…

Social and Information Networks · Computer Science 2023-06-07 Le Huang , Fan Xia , Hui Chen , Bowen Hu , Xiao Zhou , Chunxiao Li , Yaohui Jin , Yanyan Xu

Understanding urban dynamics, i.e., how the types and intensity of urban residents' activities in the city change along with time, is of urgent demand for building an efficient and livable city. Nonetheless, this is challenging due to the…

Social and Information Networks · Computer Science 2019-11-14 Sirui Song , Tong Xia , Depeng Jin , Pan Hui , Yong Li

A comprehensive data analysis system is implemented for the extraction of information and comparison of North American public transport systems. The system is based on network representations of the transport systems and makes use of a span…

Social and Information Networks · Computer Science 2020-01-08 Abbas Masoumzadeh , Tilemachos Pechlivanoglou

The pervasive use of new mobile devices has allowed a better characterization in space and time of human concentrations and mobility in general. Besides its theoretical interest, describing mobility is of great importance for a number of…

Urban rail services are the principal means of public transportation in many cities. To understand the crowding patterns and develop efficient operation strategies in the system, obtaining path choices is important. This paper proposed an…

Data Structures and Algorithms · Computer Science 2020-01-17 Baichuan Mo , Zhenliang Ma , Haris N. Koutsopoulos , Jinhua Zhao

Quantification of the overall characteristics of urban mobility using coarse-grained methods is crucial for urban management, planning and sustainable development. Although some recent studies have provided quantification methods for…

Physics and Society · Physics 2023-08-03 Hao Wang , Pengjun Zhao , Xiao-Yong Yan

Human mobility is subject to collective dynamics that are the outcome of numerous individual choices. Smart card data which originated as a means of facilitating automated fare collections has emerged as an invaluable source for analyzing…

Physics and Society · Physics 2022-08-11 Oded Cats
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