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Non-linear associations between the urban built environment and commuting modal split : a random forest approach and SHAP evaluation
Title
Non-linear associations between the urban built environment and commuting modal split : a random forest approach and SHAP evaluation
Author
Thill, Jean-Claude, Hatami, Faizeh, Rahman, Md. Mokhlesur, Nikparvar, Behnam
Date Created
2023
Subjects--Topical
Commuting, Statistics
Description
The study of commuting mode choice is crucial since driving, with all its associated environmental and economic consequences, is the United States' most popular mode of transportation due to urban sprawl, priority to road construction and America'...
Heterogeneous crowd-sourced data analytics
Title
Heterogeneous crowd-sourced data analytics
Author
Thill, Jean-Claude
Date Created
2017
Subjects--Topical
Data mining, Statistics
Description
Advances in computing, communication, storage, and sensing technologies have reshaped the lives of people by changing the way they live, work, interact with their environments, and even socialize. Modern information systems collect valuable inform...
Toward reaching a consensus on the concept of power system resilience : definitions, assessment frameworks, and metrics
Title
Toward reaching a consensus on the concept of power system resilience : definitions, assessment frameworks, and metrics
Author
Chowdhury, Badrul, Kaloti, Sujay
Date Created
2023
Subjects--Topical
Electric power systems, Climatic changes
Description
The electric power system plays an integral part in the well-being of the modern society. Because of climate change, the ageing power system infrastructure is under threat due to the ever-increasing intensity and frequency of high-impact, low-prob...
Predicting lightning-related outages in power distribution systems : a statistical approach
Title
Predicting lightning-related outages in power distribution systems : a statistical approach
Author
Chowdhury, Badrul, Doostan, Milad
Subjects--Topical
Machine learning, Electric power distribution--Communication systems, Lightning
Description
This paper presents a novel data-driven approach for predicting lightning-related outages that occur in power distribution systems on a daily basis. In order to develop an approach that is able to successfully fulfill this objective, there are two...