23 citations · 36 across the 4 of their papers we have counts for
4 papers
CityVerse: A Unified Data Platform for Multi-Task Urban Computing with Large Language Models
Yaqiao Zhu, Hongkai Wen, Mark Birkin +1
Large Language Models (LLMs) show remarkable potential for urban computing, from spatial reasoning to predictive analytics. However, evaluating LLMs across diverse urban tasks face…
Fleet Rebalancing for Expanding Shared e-Mobility Systems: A Multi-agent Deep Reinforcement Learning Approach
Man Luo, Bowen Du, Wenzhe Zhang +5
The electrification of shared mobility has become popular across the globe. Many cities have their new shared e-mobility systems deployed, with continuously expanding coverage from…
Agent-Based Modelling for Urban Analytics: State of the Art and Challenges
Nick Malleson, Mark Birkin, Daniel Birks +5
Agent-based modelling (ABM) is a facet of wider Multi-Agent Systems (MAS) research that explores the collective behaviour of individual `agents', and the implications that their be…
Geotagged tweets to inform a spatial interaction model: a case study of museums
Robin Lovelace, Nick Malleson, Kirk Harland +1
This paper explores the potential of volunteered geographical information from social media for informing geographical models of behavior, based on a case study of museums in Yorks…