78 citations · 230 across the 50 of their papers we have counts for
9 papers · 1 filter
Predicting Residential Property Value in Catonsville, Maryland: A Comparison of Multiple Regression Techniques
Lee Whieldon, Huthaifa Ashqar
Predicting Residential Property Value in Catonsville, Maryland: A Comparison of Multiple Regression Techniques
Network and Station-Level Bike-Sharing System Prediction: A San Francisco Bay Area Case Study
Huthaifa I. Ashqar, Mohammed Elhenawy, Hesham A. Rakha +2
The paper develops models for modeling the availability of bikes in the San Francisco Bay Area Bike Share System applying machine learning at two levels: network and station. Inves…
Developing a Novel Crowdsourcing Business Model for Micro-Mobility Ride-Sharing Systems: Methodology and Preliminary Results
Mohammed Elhenawy, MD Mostafizur Rahman Komol, Huthaifa I. Ashqar +4
Micro-mobility ride-sharing is an emerging technology that provides access to the transit system with minimum environmental impacts. Significant research is required to ensure that…
Modeling bike counts in a bike-sharing system considering the effect of weather conditions
Huthaifa I. Ashqar, Mohammed Elhenawy, Hesham A. Rakha
The paper develops a method that quantifies the effect of weather conditions on the prediction of bike station counts in the San Francisco Bay Area Bike Share System. The Random Fo…
Modeling bike availability in a bike-sharing system using machine learning
Huthaifa I. Ashqar, Mohammed Elhenawy, Mohammed H. Almannaa +3
This paper models the availability of bikes at San Francisco Bay Area Bike Share stations using machine learning algorithms. Random Forest (RF) and Least-Squares Boosting (LSBoost)…
Smartphone Transportation Mode Recognition Using a Hierarchical Machine Learning Classifier and Pooled Features From Time and Frequency Domains
Huthaifa I. Ashqar, Mohammed H. Almannaa, Mohammed Elhenawy +2
This paper develops a novel two-layer hierarchical classifier that increases the accuracy of traditional transportation mode classification algorithms. This paper also enhances cla…
Vulnerable Road User Detection Using Smartphone Sensors and Recurrence Quantification Analysis
Huthaifa I. Ashqar, Mohammed Elhenawy, Mahmoud Masoud +2
With the fast advancements of the Autonomous Vehicle (AV) industry, detection of Vulnerable Road Users (VRUs) using smartphones is critical for safety applications of Cooperative I…
A Comparative Analysis of E-Scooter and E-Bike Usage Patterns: Findings from the City of Austin, TX
Mohammed Hamad Almannaa, Huthaifa I. Ashqar, Mohammed Elhenawy +3
E-scooter-sharing and e-bike-sharing systems are accommodating and easing the increased traffic in dense cities and are expanding considerably. However, these new micro-mobility tr…
Ethics, Data Science, and Health and Human Services: Embedded Bias in Policy Approaches to Teen Pregnancy Prevention
Davon Woodard, Huthaifa I. Ashqar, Taoran Ji
Background: This study aims to evaluate the Chicago Teen Pregnancy Prevention Initiative delivery optimization outcomes given policy-neutral and policy-focused approaches to delive…