Understanding Mobility and Transport Modal Disparities Using Emerging Data Sources: Modelling Potentials and Limitations
Doctoral thesis, 2021

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data mining

geographical information systems

mobility models

big trip data

transport modes

traffic data

social media data

Author

Yuan Liao

Chalmers, Space, Earth and Environment, Physical Resource Theory

Included papers

Feasibility of estimating travel demand using geolocations of social media data

Transportation,;Vol. 49(2022)p. 137-161

Journal article

A Mobility Model for Synthetic Travel Demand from Sparse Traces

IEEE Open Journal of Intelligent Transportation Systems,;Vol. 3(2022)p. 665-678

Journal article

Ride-sourcing compared to its public-transit alternative using big trip data

Journal of Transport Geography,;Vol. 95(2021)

Journal article

Popular science description

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Research Project(s)

Sustainable cities: the use of large amounts of data to understand and handle movement patterns and congestion

Formas (2016-01326), 2017-01-01 -- 2019-12-31.

Categorizing

Driving Forces

Sustainable development

Areas of Advance

Transport

Energy

Subject Categories (SSIF 2011)

Transport Systems and Logistics

Human Geography

Environmental Sciences

Identifiers

ISBN

978-91-7905-508-0

Other

Series

Doktorsavhandlingar vid Chalmers tekniska högskola. Ny serie: 4975

Publisher

Chalmers

Public defence

2021-06-16 14:00 -- 17:00

Online

Online

Opponent: Prof. Michael Batty, Emeritus Professor of Planning, Centre for Advanced Spatial Analysis, The Bartlett Faculty of the Built Environment, University College London, UK

More information

Latest update

11/13/2023