ORCID Profile
0000-0001-6149-8410
Current Organisation
NSW Department of Planning, Industry and Environment
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Publisher: SAGE Publications, Inc.
Date: 2014
Publisher: Elsevier BV
Date: 10-2021
Publisher: MDPI AG
Date: 09-06-2021
DOI: 10.3390/SU13126590
Abstract: Electric vehicle (EV) adoption is growing worldwide with increasing market pull from consumers and market push from manufacturers of vehicles and charging equipment, as well as others in the supply chain. Governments have begun developing policies to support EV uptake and local governments, in particular, are examining what role they should play. In Australia, a large country with low population density, EV uptake has been slower in comparison to other similar economies. This paper discusses the status of EV charging infrastructure deployment in Australia with regards to local governments, by considering the extent to which they are relied upon for the deployment of such technology and what motivates them to act. It also covers the work undertaken by the authors with one local government in developing an EV charging infrastructure business model that will help the local community adopt and benefit from EVs. An applied use of the business canvas methodology adapted to suit local government interests is presented to assess the risks and benefits that different business models offer. The paper offers insights into the strategic and pragmatic responsibilities local governments balance in seeking to expand the EV charging infrastructure in their jurisdiction.
Publisher: Edward Elgar Publishing
Date: 26-02-2016
Publisher: Informa UK Limited
Date: 18-07-2014
Publisher: Edward Elgar Publishing
Date: 26-02-2016
Publisher: Wiley
Date: 15-09-2023
DOI: 10.1111/COBI.14151
Abstract: Identifying threatened ecosystem types is fundamental to conservation and management decision‐making. When identification relies upon the judgment of suitably trained experts, decisions are vulnerable to inconsistent outcomes and can lack transparency. We elicited judgements of the occurrence of a widespread, critically endangered Australian ecosystem from a erse pool of 83 experts. We asked: (1) How many experts are required to reliably conclude that the ecosystem is present? (2) How many experts are required to build a reliable model for predicting ecosystem presence? (3) Given expert selection can narrow the range opinions, if enough experts are selected, do selection strategies affect model predictions? (4) Does a erse selection of experts provide better model predictions? We used power and s le size calculations with a finite population of 200 experts to calculate the number of experts required to reliably assess ecosystem presence in a theoretical scenario. We then used boosted regression trees to model expert elicitation of 122 plots based on real‐world data. For a reliable consensus (90% probability of correctly identifying presence and absence), in a relatively certain scenario (85% probability of occurrence) we found at least 17 experts were required. More experts are required when occurrence was less certain fewer if permissible error rates are relaxed. In comparison, only ∼20 experts were required for a reliable model that could predict for a range of scenarios. Expert selection strategies changed modelled outcomes, often overpredicting presence and underestimate uncertainty. However, smaller but erse pools of experts produced similar outcomes to a model built from all contributing experts. Combining elicited judgements from a erse pool of experts in a model‐based decision support tool provides an efficient aggregation of a broad range of expertise. Such models can improve the transparency and consistency of conservation and management decision‐making especially when ecosystems are defined by complex criteria. This article is protected by copyright. All rights reserved
Publisher: SAGE Publications
Date: 09-01-2013
Abstract: The economic vitality of all town centers is highly dependent upon an ability to attract customers. With the popularization of the car in Australia, the travel decisions of shoppers impacted local centers in two significant ways—more demand for car parking space and reduced dependence on local shopping destinations. A review of historical newspaper coverage about three local centers in an inner city area of Sydney provides insight into how a neighborhood adapts to such change. Marrickville, Dulwich Hill, and Newtown all wanted to change the town center urban form to remain attractive and competitive to customers but they each faced different barriers and pressures. Change was slow. Trade-offs were required. Mistakes were made, expectations changed, and new problems emerged. The neighborhood, in short, adapted.
Publisher: Elsevier BV
Date: 06-2015
Location: Australia
No related grants have been discovered for Claudine Moutou.