Analyzing spatial heterogeneity of ridesourcing usage determinants using explainable machine learning

X Zhang, Z Zhou, Y Xu, X Zhao - Journal of Transport Geography, 2024 - Elsevier
There is a pressing need to study spatial heterogeneity of ridesourcing usage determinants
to develop better-targeted transportation and land use policies. This study incorporates …

Hurricane evacuation analysis with large-scale mobile device location data during hurricane Ian

L Liu, X Zhang, S Jiang, X Zhao - Transportation Research Part D: Transport …, 2025 - Elsevier
Hurricane Ian is one of the deadliest and costliest Atlantic hurricanes with 2.5 million people
ordered to evacuate. As hurricanes are becoming increasingly severe in the context of …

Towards Benchmarking Situational Awareness of Large Language Models: Comprehensive Benchmark, Evaluation and Analysis

G Tang, Z Chu, W Zheng, M Liu… - Findings of the Association …, 2024 - aclanthology.org
Situational awareness refers to the capacity to perceive and comprehend the present
context and anticipate forthcoming events, which plays a critical role in aiding decision …

ICN: Interactive convolutional network for forecasting travel demand of shared micromobility

Y Xu, Q Ke, X Zhang, X Zhao - GeoInformatica, 2024 - Springer
Accurate shared micromobility demand predictions are essential for transportation planning
and management. Although deep learning methods provide robust mechanisms to tackle …

[PDF][PDF] Scooter-Share Travel Demand Forecast: A Context-Aware LSTM Recurrent Neural Network Approach

JJ PI, Y Xu - 2024 - sites.utexas.edu
Shared micromobility has been popular in many cities in the US The rise of shared
micromobility brings significant operational challenges such as fleet management and …

Investigating wildfire evacuation decisions using hybrid choice modeling

Y Sun, R Lovreglio, E Kuligowski, R Morrison… - Available at SSRN … - papers.ssrn.com
Wildfires pose a significant threat to thousands of communities worldwide. Today,
implementing effective evacuations is a key strategy to reduce the impact of these disasters …