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2021 (24)Type
Working Paper (24)Authors
Hensher, David A. (12)Balbontin, Camila (3)Beck, Matthew J. (3)Day, Christopher James (3)Ho, Chinh Q. (3)Wei, Edward (3)Bliemer, Michiel C. J. (2)Clifton, Geoffrey (2)Haghani, Milad (2)Lancsar, Emily (2)View moreSubjects
1507 Transportation and Freight Services (6)COVID-19 (5)Mobility as a Service (MaaS) (3)Sydney (3)working from home (3)0104 Statistics (2)14 Economics (2)1403 Econometrics (2)Australian experience in 2020 (2)car use (2)View moreHas file(s)
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ITLS Working Papers 2021
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Working from Home in Australia in 2020: Positives, Negatives and the Potential for Future Benefits to Transport and Society
Beck, Matthew J.; Hensher, David A.Published 2021The year 2020 has been marked by the most extraordinary event we have witnessed since World War II. While other health threats and geographical disasters have occurred, none have been on the global scale of COVID-19. ...Open AccessWorking Paper -
Place-based disadvantage, social exclusion and the value of mobility
Stanley, John K.; Hensher, David A.; Stanley, Janet R.Published 2021Connections between mobility and social exclusion have been of research and policy interest for some years, a high value being estimated for additional trips by those at risk of mobility-related exclusion. Those values ...Open AccessWorking Paper -
Comparative Assessment of Zero Emission Electric and Hydrogen Buses in Australia
Hensher, David A.; Wei, Edward; Balbontin, CamilaPublished 2021The pace of electrification for public transit bus fleets is accelerating internationally. Clear targets have been established by transport policymakers to achieve a zero-emission bus target as early as 2030 in some ...Open AccessWorking Paper -
What does the Quantum of Working from Home do to the Value of Commuting Time used in Transport Appraisal?
Hensher, David A.; Beck, Matthew J.; Balbontin, CamilaPublished 2021The need to recognise and account for the influence of working from home on commuting activity has never been so real as a result of the COVID-19 pandemic. Given a recognition that WFH activity during the pandemic has ...Open AccessWorking Paper -
Forecasting Automobile Gasoline Demand in Australia Using Machine Learning-based Regression
Li, Zheng; Zhou, Bo; Hensher, David A.Published 2021We use a variant of machine learning (ML) to forecast Australia’s automobile gasoline demand within an autoregressive and structural model. By comparing the outputs of the various model specifications, we find that training ...Open AccessWorking Paper