default author photo

Alireza Dianat

University of Toronto

105 St George Street

Toronto, M5S 3G8

Canada

SCHOLARLY PAPERS

1

DOWNLOADS

66

TOTAL CITATIONS

0

Scholarly Papers (1)

1.

A Comprehensive Data Fusion to Evaluate the Impacts of COVID-19 on Passenger Travel Demands: Application of a Core-Satellite Data Collection Paradigm

Number of pages: 28 Posted: 31 Aug 2022
University of Toronto - Department of Civil & Mineral Engineering, University of California, Davis - Institute of Transportation Studies, University of Toronto, University of Toronto, University of Toronto and University of Toronto - Department of Civil & Mineral Engineering
Downloads 66 (907,769)

Abstract:

Loading...

Data fusion, COVID-19, Attitudinal factors, Implicit matching, Hybrid choice model