Francisco Rowe

According to our database, Francisco Rowe authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Developing two-dimensional indicators of transport demand and supply to promote sustainable transportation equity.

Patrick Ballantyne, Gabriele Filomena, Francisco Rowe, Alexander D. Singleton

Comput. Environ. Urban Syst., 2024

Unveiling the influence of behavioural, built environment and socio-economic features on the spatial and temporal variability of bus use using explainable machine learning.

Sui Tao, Francisco Rowe, Hongyu Shan

CoRR, 2024

Exposing Hate - Understanding Anti-Immigration Sentiment Spreading on Twitter.

Andrea Nasuto, Francisco Rowe

CoRR, 2024

2022

Assessing Machine Learning Algorithms for Near-Real Time Bus Ridership Prediction During Extreme Weather.

Francisco Rowe, Michael Mahony, Sui Tao

CoRR, 2022

A Generalisable Data Fusion Framework to Infer Mode of Transport Using Mobile Phone Data.

Eduardo Graells-Garrido, Daniela Opitz, Francisco Rowe

CoRR, 2022

2021

Identifying how COVID-19-related misinformation reacts to the announcement of the UK national lockdown: An interrupted time-series study.

Mark Green, Elena Musi, Francisco Rowe, Darren Charles, Frances Darlington Pollock, Chris Kypridemos, Andrew Morse, Patricia Rossini, John S. P. Tulloch, Andrew Davies, Emily Dearden, Henrdramoorthy Maheswaran, Alex Singleton, Roberto Vivancos, Sally Sheard

Big Data Soc., January, 2021

Projecting the demographic impact of Syrian migration in a rapidly ageing society, Germany.

Niall Newsham, Francisco Rowe

J. Geogr. Syst., 2021

Open data products-A framework for creating valuable analysis ready data.

Dani Arribas-Bel, Mark Green, Francisco Rowe, Alex Singleton

J. Geogr. Syst., 2021

A city of cities: Measuring how 15-minutes urban accessibility shapes human mobility in Barcelona.

Eduardo Graells-Garrido, Feliu Serra-Burriel, Francisco Rowe, Fernando M. Cucchietti, Patricio Reyes

CoRR, 2021

2019

A Hierarchical Urban Forest Index Using Street-Level Imagery and Deep Learning.

Philip Stubbings, Joe Peskett, Francisco Rowe, Dani Arribas-Bel

Remote. Sens., 2019

A Scalable Analytical Framework for Spatio-Temporal Analysis of Neighborhood Change: A Sequence Analysis Approach.

Nikos Patias, Francisco Rowe, Stefano Cavazzi

Proceedings of the Geospatial Technologies for Local and Regional Development, 2019