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Lina Kattan

Researcher at University of Calgary

Publications -  111
Citations -  2425

Lina Kattan is an academic researcher from University of Calgary. The author has contributed to research in topics: Computer science & Public transport. The author has an hindex of 24, co-authored 95 publications receiving 1706 citations. Previous affiliations of Lina Kattan include University of Toronto.

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Modeling Nonmotorized Travel Demand at Intersections in Calgary, Canada: Use of Traffic Counts and Geographic Information System Data

TL;DR: In this article, the impact of land use development scenarios and transportation policies on bicycle and pedestrian demand is estimated on non-motorized trip volumes and design the related infrastructure adequately.
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Inferring and Modeling Migration Flows Using Mobile Phone Network Data

TL;DR: This study makes use of a massive mobile phone network data to infer migration trips and their distribution and finds that the gravity and log-linear models with a direct distance used as its travel cost and district centroids used as the reference points perform best among the other alternative models.
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Visualizing public transit system operation with GTFS data: A case study of Calgary, Canada

TL;DR: A new public transit system operation visualization tool (called PubtraVis) with six visualization modules that reflect on different transit system operational characteristics; mobility, speed, flow, density, headway, and analysis is developed.
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Injury Risk in Collisions Involving Buses in Alberta, Canada

TL;DR: In this article, the authors investigated the factors that contributed to injuries in collisions that involved at least one bus in the province of Alberta, Canada, and found that weather conditions were a significant contributing factor in all four types of collisions, although crashes in adverse weather conditions resulted in fewer injuries.
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Waiting time and headway modelling for urban transit systems – a critical review and proposed approach

TL;DR: A comprehensive approach to determine the mean waiting time of travellers is developed and may be utilised in transit studies to better model the transit use which subsequently results in better designs and more efficient operations.