Taha Hossein Rashidi

TL;DR: In this paper, a stated choice survey was conducted and analyzed, using a mixed logit model, showing that service attributes including travel cost, travel time and waiting time may be critical determinants of the use of SAVs and the acceptance of DRS.

TL;DR: The transition in travel activity pattern and transport mobility in Istanbul appears to be quite extreme, particularly for commuting and SRL trips, according to the longitudinal panel study conducted in three phases during the early stages of the epidemic and pandemic.

TL;DR: In this paper, a detailed discussion is provided about how social media data from different sources can be used to indirectly and with minimal cost extract travel attributes such as trip purpose, mode of transport, activity duration and destination choice, as well as land use variables such as home, job and school location and socio-demographic attributes including gender, age and income.

TL;DR: In this article, the authors examined individual mobility patterns for all transport modes (walk, bicycle, motorcycle, car driven alone and car driven in company, bus, subway, tram, train, airplane) before and during the restrictions adopted in ten countries on six continents: Australia, Brazil, China, Ghana, India, Iran, Italy, Norway, South Africa and United States.

TL;DR: Novel dynamic matching policies are proposed to solve the problem dynamically in a rolling horizon framework and a new clustering heuristic is presented to tackle instances with a large number of participants efficiently.