activity
20192026
most citedAirbnb, hotels, and saturation of the food industry: A multi-scale GWR approach

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

AI vs Human Expert Reasoning: Assessing Agreements in Building Typology Predictions based on Street View Imagery

Zahratu Shabrina, Muhammad Asa, Jin Rui +2

This research investigates the potential of Vision-Language Models (VLMs) to infer building typologies: Construction, Current Use, and Storeys from Google Street View (GSV) images.…

cs.LG2025

Advancing Spatiotemporal Prediction using Artificial Intelligence: Extending the Framework of Geographically and Temporally Weighted Neural Network (GTWNN) for Differing Geographical and Temporal Contexts

Nicholas Robert Fisk, Matthew Ng Kok Ming, Zahratu Shabrina

This paper aims at improving predictive crime models by extending the mathematical framework of Artificial Neural Networks (ANNs) tailored to general spatiotemporal problems and ap…

physics.soc-ph2024

From Urban Clusters to Megaregions: Mapping Australia's Evolving Urban Regions

M. K. M Ng, Z. Shabrina, S. Sarkar +2

This study employs percolation theory to investigate the hierarchical organisation of Australian urban centres through the connectivity of their road networks. The analysis demonst…

physics.soc-ph2019★ 2 cited

Airbnb, hotels, and saturation of the food industry: A multi-scale GWR approach

Zahratu Shabrina, Boyana Buyuklieva, Matthew Ng Kok Ming

This paper evaluates the relationship between the food industry and the local variations of temporary accommodation (TAs, including hotels and short-term rentals). The aim is to ca…

cs.CY2019★ 1 cited

Airbnb's disruption of the housing structure in London

Zahratu Shabrina, Elsa Arcaute, Michael Batty

This paper explores Airbnb, a peer-to-peer platform for short-term rental of housing accommodation, examining the geographical pattern of those establishments using data from Londo…