A Global Analysis of Strategic Pathways for Sustainable Transport
Grant Data
Project Title
A Global Analysis of Strategic Pathways for Sustainable Transport
Principal Investigator
Dr Tsoi, Ka Ho
(Principal Investigator (PI))
Duration
36
Start Date
2022-05-16
Amount
38760
Conference Title
A Global Analysis of Strategic Pathways for Sustainable Transport
Keywords
AI, CO2 emission, policy measures, traffic fatalities, transport decoupling
Discipline
Human GeographyTransportation
HKU Project Code
PDFS2223-7H01
Grant Type
RGC Postdoctoral Fellowship Scheme
Funding Year
2022
Status
On-going
Objectives
To address the pressing concerns of achieving sustainable transport as stated in the 2030 Agenda for sustainable development To examine the decoupling status of two major negative externalities of transport – CO2 emission and traffic fatalities – across different nations over the past three decades To apply an innovative artificial intelligence (AI) approach of Association Rule Minong and Sequential Rule Mining to identify effective policy measures, as well as their associated synergies, on transport decoupling To quantify the actual impacts of policy measures and policy synergies on transport CO2 reduction and traffic fatality reduction using statistical models such as Structural Equation Models (SEM) To evaluate necessary conditions and policy actions to achieve transport decoupling in the long-term using a backcasting approach