7 papers
Place with Intention: An Empirical Attendance Predictive Study of Expo 2025 Osaka, Kansai, Japan
Xiaojie Yang, Dizhi Huang, Hangli Ge +4
Accurate forecasting of daily attendance is vital for managing transportation, crowd flows, and services at large-scale international events such as Expo 2025 Osaka, Kansai, Japan.…
Simulation of Emergency Evacuation in Large Scale Metropolitan Railway Systems for Urban Resilience
Hangli Ge, Xiaojie Yang, Zipei Fan +2
This paper presents a simulation for traffic evacuation during railway disruptions to enhance urban resilience. The research focuses on large-scale railway networks and provides fl…
Origin-Destination Extraction from Large-Scale Route Search Records for Tourism Trend Analysis
Hangli Ge, Dizhi Huang, Xiaojie Yang +4
This paper presents a novel method for transforming large-scale historical expressway route search records into a three-dimensional (3D) Origin-Destination (OD) map, enabling data…
Causality-Aware Next Location Prediction Framework based on Human Mobility Stratification
Xiaojie Yang, Zipei Fan, Hangli Ge +3
Human mobility data are fused with multiple travel patterns and hidden spatiotemporal patterns are extracted by integrating user, location, and time information to improve next loc…
A Traffic Evacuation Model for Enhancing Resilience During Railway Disruption
Hangli Ge, Xiaojie Yang, Jinyu Chen +2
This paper introduces a traffic evacuation model for railway disruptions to improve resilience. The research focuses on the problem of failure of several nodes or lines on the rail…
CausalMob: Causal Human Mobility Prediction with LLMs-derived Human Intentions toward Public Events
Xiaojie Yang, Hangli Ge, Jiawei Wang +4
Large-scale human mobility exhibits spatial and temporal patterns that can assist policymakers in decision making. Although traditional prediction models attempt to capture these p…