The Impact of COVID-19 Pandemic on Ridesourcing Services Differed Between Small Towns and Large Cities

no code implementations • 26 Jan 2022 • Nael Alsaleh, Bilal Farooq

The COVID-19 pandemic has significantly influenced all modes of transportation.

On-Demand Transit User Preference Analysis using Hybrid Choice Models

no code implementations • 16 Feb 2021 • Nael Alsaleh, Bilal Farooq, Yixue Zhang, Steven Farber

In light of the increasing interest to transform the fixed-route public transit (FRT) services into on-demand transit (ODT) services, there exists a strong need for a comprehensive evaluation of the effects of this shift on the users.

Spatio-Temporal Analysis of On Demand Transit: A Case Study of Belleville, Canada

no code implementations • 4 Dec 2020 • Irum Sanaullah, Nael Alsaleh, Shadi Djavadian, Bilal Farooq

We present an in-depth analysis of the spatio-temporal demand and supply, level of service, and origin and destination patterns of Belleville ODT users, based on the data collected from September 2018 till May 2019.

Computers and Society

Interpretable Data-Driven Demand Modelling for On-Demand Transit Services

no code implementations • 27 Oct 2020 • Nael Alsaleh, Bilal Farooq

On the other hand, the demographic characteristics of the trip destination were the most important variables in the trip distribution model.

BIG-bench Machine Learning