James Haworth

Orcid: 0000-0001-9506-4266

According to our database1, James Haworth authored at least 18 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2023
A spatiotemporal analysis of the impact of lockdown and coronavirus on London's bicycle hire scheme: from response to recovery to a new normal.
Geo spatial Inf. Sci., October, 2023

Spatiotemporal Graph Neural Networks with Uncertainty Quantification for Traffic Incident Risk Prediction.
CoRR, 2023

Uncertainty Quantification in the Road-level Traffic Risk Prediction by Spatial-Temporal Zero-Inflated Negative Binomial Graph Neural Network(STZINB-GNN).
CoRR, 2023

Framework for Motorcycle Risk Assessment Using Onboard Panoramic Camera (Short Paper).
Proceedings of the 12th International Conference on Geographic Information Science, 2023

Uncertainty Quantification in the Road-Level Traffic Risk Prediction by Spatial-Temporal Zero-Inflated Negative Binomial Graph Neural Network(STZINB-GNN) (Short Paper).
Proceedings of the 12th International Conference on Geographic Information Science, 2023

A New Approach to Assessing Perceived Walkability: Combining Street View Imagery with Multimodal Contrastive Learning Model.
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Spatial Big Data and AI for Industrial Applications, 2023

2021
Re-designing cities with conditional adversarial networks.
CoRR, 2021

CyclingNet: Detecting cycling near misses from video streams in complex urban scenes with deep learning.
CoRR, 2021

2020
A name-led approach to profile urban places based on geotagged Twitter data.
Trans. GIS, 2020

2019
predictSLUMS: A new model for identifying and predicting informal settlements and slums in cities from street intersections using machine learning.
Comput. Environ. Urban Syst., 2019

WeatherNet: Recognising Weather and Visual Conditions from Street-Level Images Using Deep Residual Learning.
ISPRS Int. J. Geo Inf., 2019

Non-Employment Activity Type Imputation from Points of Interest and Mobility Data at an Individual Level: How Accurate Can We Get?
ISPRS Int. J. Geo Inf., 2019

2018
URBAN-i: From urban scenes to mapping slums, transport modes, and pedestrians in cities using deep learning and computer vision.
CoRR, 2018

2015
Geospatial Big Data Handling Theory and Methods: A Review and Research Challenges.
CoRR, 2015

2012
Non-parametric regression for space-time forecasting under missing data.
Comput. Environ. Urban Syst., 2012

Advances in geocomputation (1996-2011).
Comput. Environ. Urban Syst., 2012

Inferring hybrid transportation modes from sparse GPS data using a moving window SVM classification.
Comput. Environ. Urban Syst., 2012

Spatio-temporal autocorrelation of road network data.
J. Geogr. Syst., 2012


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