Characterizing the human mobility pattern in a large street network

Abstract

Previous studies demonstrated empirically that human mobility exhibits Lévy flight behavior. However, our knowledge of the mechanisms governing this Lévy flight behavior remains limited. Here we analyze over 72,000 people's moving trajectories, obtained from 50 taxicabs during a six-month period in a large street network, and illustrate that the human mobility pattern, or the Lévy flight behavior, is mainly attributed to the underlying street network. In other words, the goal-directed nature of human movement has little effect on the overall traffic distribution. We further simulate the mobility of a large number of random walkers and find that (1) the simulated random walkers can reproduce the same human mobility pattern, and (2) the simulated mobility rate of the random walkers correlates pretty well (an R square up to 0.87) with the observed human mobility rate.

Temporal coverage based content distribution in heterogeneous smart device networks

“…One challenge of the heterogeneous setting is the requirement of Connectivity to seeds. In particular, the concept of temporal coverage is inspired by the work on enterprise network defense prioritization [6], which extends previous works [15,16,17] on (spatially) connected dominating set (CDS) based routing in ad hoc network (MANET) to the temporal dimension, by exploiting the regularity [1,2,3] exhibited by many proximitychannel-based smartphone networks, as a prominent application of delay-tolerant networks (DTNs) [18,19] that have received significant research in the past decade.…”

“…We consider the common scenario in which the mobility of the network nodes, although cannot be predicted precisely, nevertheless have regularity [1,2,3]. Examples of such networks are all the smart devices of regular students and faculty/staff members on a university campus or of employees on an enterprise site.…”

“…In this work 1 , we consider content distribution in heterogeneous smart device networks. By "heterogeneous smart device network," we mean a collection of smartphones/tablets in which the cellular data channel is available on only some devices, but all devices can transfer data through the proximate channel such as Bluetooth/NFC/Wi-Fi Direct.…”

Classification of Livebus arrivals user behavior

“…Holleczek et al (2014) or GPS coordinates to analyse and describe the patterns that characterise people behaviour (i.e. Jiang et al (2009) and Liu et al (2012).…”

Analyzing Urban Human Mobility Patterns through a Thematic Model at a Finer Scale

“…Thus, an increased understanding of human dynamics has motivated many studies on transportation management and urban planning [1][2][3][4][5]. Taxi GPS location records, social media check-ins, public transportation smart card data and mobile phone data have offered great research opportunities because of the increasing use of LBS (Location-Based Service) [6][7][8][9][10].…”