An interdisciplinary survey on origin-destination flows modeling: Theory and techniques
Origin-destination (OD) flow modeling is an extensively researched subject across multiple
disciplines, such as the investigation of travel demand in transportation and spatial …
disciplines, such as the investigation of travel demand in transportation and spatial …
Estimating MFDs, trip lengths and path flow distributions in a multi-region setting using mobile phone data
The present work proposes a global framework to estimate all MFD model parameters using
mobile phone data. The three major components that are estimated in the present context …
mobile phone data. The three major components that are estimated in the present context …
Toward using social media to support ridesharing services: challenges and opportunities
L Tang, Z Duan, Y Zhao - Transportation Planning and Technology, 2019 - Taylor & Francis
Ridesharing has been attracting increasing attention from both academia and industry. One
of the challenges posed by the study of ridesharing is to identify the most valuable …
of the challenges posed by the study of ridesharing is to identify the most valuable …
Feasibility of estimating travel demand using geolocations of social media data
Travel demand estimation, as represented by an origin–destination (OD) matrix, is essential
for urban planning and management. Compared to data typically used in travel demand …
for urban planning and management. Compared to data typically used in travel demand …
Estimation of travel flux between urban blocks by combining spatio-temporal and purpose correlation
B Liu, Z Tang, M Deng, Y Shi, X He, B Huang - Journal of Transport …, 2024 - Elsevier
Understanding the travel flux between urban blocks is fundamental for traffic demand
prediction, urban area planning and urban traffic management. However, the uncertainty of …
prediction, urban area planning and urban traffic management. However, the uncertainty of …
Analysis of social interaction network properties and growth on Twitter
The complex topology of real networks allows its actors to change their functional behavior.
Network models provide better understanding of the evolutionary mechanisms being …
Network models provide better understanding of the evolutionary mechanisms being …
Exploring network properties of social media interactions and activities during Hurricane Sandy
In this study, we analyze Twitter data to understand information spreading activities of social
media users during Hurricane Sandy. We create multiple subgraphs of Twitter users based …
media users during Hurricane Sandy. We create multiple subgraphs of Twitter users based …
[HTML][HTML] From individual to collective behaviours: exploring population heterogeneity of human mobility based on social media data
This paper examines the population heterogeneity of travel behaviours from a combined
perspective of individual actors and collective behaviours. We use a social media dataset of …
perspective of individual actors and collective behaviours. We use a social media dataset of …
Joint inference of user community and interest patterns in social interaction networks
Online social media have become an integral part of our social beings. Analyzing
conversations in social media platforms can lead to complex probabilistic models to …
conversations in social media platforms can lead to complex probabilistic models to …
An adaptive hawkes process formulation for estimating time-of-day zonal trip arrivals with location-based social networking check-in data
Abstract Location-Based Social Networking (LBSN) services, such as Foursquare, Facebook
check-ins, and Geo-tagged Twitter tweets, have emerged as new secondary data sources …
check-ins, and Geo-tagged Twitter tweets, have emerged as new secondary data sources …