3 citations · 12 across the 12 of their papers we have counts for
12 papers
Much of Geospatial Web Search Is Beyond Traditional GIS
Ilya Ilyankou, Stefano Cavazzi, James Haworth
Web search queries concern place far more often than existing labelling schemes suggest, yet the landscape of geospatial web search queries - what people ask of place, and how ofte…
CITYREP: A Unified Benchmark for Urban Representations Across Cities, Tasks, and Modalities
Junyuan Liu, Xinglei Wang, Zichao Zeng +5
Urban representation learning encodes complex urban environments into general-purpose embeddings for diverse downstream tasks and emerging urban foundation models. However, current…
The Scenic Route to Deception: Dark Patterns and Explainability Pitfalls in Conversational Navigation
Ilya Ilyankou, Stefano Cavazzi, James Haworth
As pedestrian navigation increasingly experiments with Generative AI, and in particular Large Language Models, the nature of routing risks transforming from a verifiable geometric…
Into the Unknown: Applying Inductive Spatial-Semantic Location Embeddings for Predicting Individuals' Mobility Beyond Visited Places
Xinglei Wang, Tao Cheng, Stephen Law +6
Predicting individuals' next locations is a core task in human mobility modelling, with wide-ranging implications for urban planning, transportation, public policy and personalised…
CLIP the Landscape: Automated Tagging of Crowdsourced Landscape Images
Ilya Ilyankou, Natchapon Jongwiriyanurak, Tao Cheng +1
We present a CLIP-based, multi-modal, multi-label classifier for predicting geographical context tags from landscape photos in the Geograph dataset--a crowdsourced image archive sp…
V-RoAst: Visual Road Assessment. Can VLM be a Road Safety Assessor Using the iRAP Standard?
Natchapon Jongwiriyanurak, Zichao Zeng, June Moh Goo +7
Road safety assessments are critical yet costly, especially in Low- and Middle-Income Countries (LMICs), where most roads remain unrated. Traditional methods require expert annotat…
SMA-Hyper: Spatiotemporal Multi-View Fusion Hypergraph Learning for Traffic Accident Prediction
Xiaowei Gao, James Haworth, Ilya Ilyankou +4
Predicting traffic accidents is the key to sustainable city management, which requires effective address of the dynamic and complex spatiotemporal characteristics of cities. Curren…
Multiple Object Detection and Tracking in Panoramic Videos for Cycling Safety Analysis
Jingwei Guo, Yitai Cheng, Meihui Wang +5
Cyclists face a disproportionate risk of injury, yet conventional crash records are too sparse to identify risk factors at fine spatial and temporal scales. Recently, naturalistic…
CycleTrajectory: An End-to-End Pipeline for Enriching and Analyzing GPS Trajectories to Understand Cycling Behavior and Environment
Meihui Wang, James Haworth, Ilya Ilyankou +1
Global positioning system (GPS) trajectories recorded by mobile phones or action cameras offer valuable insights into sustainable mobility, as they provide fine-scale spatial and t…
Quantifying Geospatial in the Common Crawl Corpus
Ilya Ilyankou, Meihui Wang, Stefano Cavazzi +1
Large language models (LLMs) exhibit emerging geospatial capabilities, stemming from their pre-training on vast unlabelled text datasets that are often derived from the Common Craw…
CC-GPX: Extracting High-Quality Annotated Geospatial Data from Common Crawl
Ilya Ilyankou, Meihui Wang, Stefano Cavazzi +1
The Common Crawl (CC) corpus is the largest open web crawl dataset containing 9.5+ petabytes of data captured since 2008. The dataset is instrumental in training large language mod…
Do Sentence Transformers Learn Quasi-Geospatial Concepts from General Text?
Ilya Ilyankou, Aldo Lipani, Stefano Cavazzi +2
Sentence transformers are language models designed to perform semantic search. This study investigates the capacity of sentence transformers, fine-tuned on general question-answeri…