528 research outputs found
Assessing the population of grey peacock-pheasant (Polyplectron bicalcaratum) in a Southeast Asian conservation landscape
Thunhikorn, Somying, Grainger, Matthew J, Savini, Philip Jk McGowan Tommaso (2016): Assessing the population of grey peacock-pheasant (Polyplectron bicalcaratum) in a Southeast Asian conservation landscape. Raffles Bulletin of Zoology 64: 302-312, DOI: http://doi.org/10.5281/zenodo.535541
Unravelling photography
The exhibition catalogue is not available through ChesterRep.The Unravelling photography exhibition was held at the Matthew West Gallery in the Quay Arts Centre from 6 May to 10 June 2006. Four artists - Daniel Boetker-Smith, Matthew Pontin, Karen Grainger, and Fergus Heron - produced work which focuses on the ability of photography to question its own systems and visuality. The exhibition was presented as four distinct, yet related, projects ion the themes of unravelling looking, unravelling, memory, unravelling place, and unravelling perception. An accompanying exhibition catalogue was produced.Arts CouncilThis article was submitted to the RAE2008 for the University of Chester - Art & Design
Fig. 2 in The threat of free-ranging domestic dog to native wildlife: implication for conservation in Southeast Asia
Fig. 2. Percentage perceived risk in Red List categories. Height of peaks represent number of species scaled to 2, see Supplementary Materials 4 and 5.Published as part of Marshall, Holly Elizabeth, Grainger, Matthew, Sukumal, Niti & Savini, Tommaso, 2022, The threat of free-ranging domestic dog to native wildlife: implication for conservation in Southeast Asia, pp. 275-288 in Raffles Bulletin of Zoology 70 on page 280, DOI: 10.26107/RBZ-2022-0012, http://zenodo.org/record/717494
Understanding John Grainger through the prism of an architectural rivalry
Understanding John Grainger through the prism of an architectural rivalry, Grainger Studies: An Interdisciplinary Journal, no. 2 (2012), pp. 83-100.This article discusses the intersections in the careers of two important Australian architects: John H. Grainger (1854-1917) and John James Clark (1838-1915). Their professional paths crossed in Melbourne, Brisbane and Perth, resulting in a rivalry that spanned 25 years and three colonies. The author speculates on the level of personal antagonism that may or may not have resulted, and on the ultimate effects of these circumstances on Grainger's level of professional achievement
D4.3 - Model integration : integrated socio-economic model on food waste
The model architecture described in this deliverable provides the framework through which data and simulations from the data on food waste at a consumer level and at a retail level can be integrated into simulation models. This report highlights the technical approaches followed to achieve model integration.
This report highlights the technical approaches followed to achieve model integration. An integrated whole-of-system modelling approach will be developed as a part of the REFRESH project to allow the development of a decision-relevant, and dynamic policy support tool, by which a road map to the reduction of European food waste by 50% by 2030 can be developed. The vital first step (highlighted in this report) is to develop the structures to allow model integration between different model types: Agent-Based Models and Bayesian Networks. These structures were developed and tested to ensure that the model types can be integrated. The architecture described in this deliverable provides the framework through which data and simulations from the data on food waste at a consumer level and at a retail level can be integrated into simulation models.
Since a sizable share of the food waste is generated either at the consumer level or at the interaction between consumers and retailers, we address the modelling effort with two integrated ABM-BN models. The first model reproduces the dynamic evolution of food waste choices of consumers as consequence of social interactions. The second focuses instead on the conditions for the successful diffusion and adoption of innovations to reduce food waste at the retailer level.
The systemic modelling approach proposed will allow the development of selected simulation scenarios at the consumer and retail level, facilitating decision making in the face of uncertainty.
These integrated setups are first iterations of working integrated models, aimed at validating technically the setups as well as the integration process itself. As they are, there are certainly factors that are likely to be important in determining food waste, which are not yet included in the models. However, the latter are flexible and can accommodate further details, and variables. Their construction is purposefully flexible in terms of components of decisions. The integration with Bayesian Networks ensure that Agent-Based models will learn from data originated from the other refresh WPs and will evolve, allowing the introduction of new variables and factors that will lead to the improvement of the different simulation scenarios.
The REFRESH project implements a behavioural economics approach in order to identify and measure the most important socio-economic conditions and potential policy interventions driving businesses’ and consumers’ choices in the generation of food waste. More specifically, this work aims to provide new information on consumer and business behaviour by measuring the effects of major tangible factors of food waste, by identifying hidden and emerging profiles of consumer’ and business’ behaviours affecting food waste, and by allowing the detection of intangible food waste drivers. Such an objective is achieved through the development and the testing of Agent-Based Models (ABMs) and Bayesian networks (BNs)
Land Use & Public Transport Accessibility Index (LUPTAI) tool : the development and pilot application of LUPTAI for the Gold Coast
LUPTAI is a decision-aiding tool to enable local and state governments to optimise land use and transport integration. In contrast to mobility between land uses (typically via road), accessibility represents opportunity and choice to reach common land use destinations by public transport and/or walking. LUPTAI uses a GIS-based methodology to quantify and map accessibility to common land use destinations by walking and/or public transport. The tool can be applied to small or large study areas. It can be applied to the current situation in a study area or to future scenarios (such as scenarios involving changes to public transport services, public transport corridors or stations, population density or land use). The tool has been piloted on the Gold Coast and the results are encouraging. This paper outlines the GIS-based methodology and the findings related to this pilot study. The paper demonstrates benefits and possible application of LUPTAI to other urbanised local government areas in Queensland. It also discusses how this accessibility indexing approach could be developed into a decision-support tool to assist local and state government agencies in a range of transport and land-use planning activities
EcosystemCondition
Storing and publishing data related to this repport: Nybø, S., Kolstad, A., Sandvik, H., Bakkestuen, V., Evju, M., Framstad, E., Grainger, M., Jepsen, J., Nater, C., Speed, J.D.M., Töpper, J., Venter, Z., Åström, J., Åström, S., Bargman, T., Silvennoinen, H.M. & Sydenham, M.A.K. 2023. Indikatorer for økologisk tilstand i våtmark, semi-naturlig mark og naturlig åpne områder under skoggrensa. NINA-rapport 2336. Norsk institutt for naturforskning
Model Development and Data Protocol
The generation of food waste stems from a complex set of interacting behaviours of both food consumers and suppliers. Therefore, a complete approach to the problem requires an analysis of both sources of waste. Both Agent Based Models and Bayesian Networks provide a modelling approach that fits this purpose, since they allow the study of complex systems. WP4 of the REFRESH project implements a behavioural economics approach in order to identify and measure the most important socio-economic conditions and potential policy interventions driving businesses’ and consumers’ choices in the generation of food waste. More specifically WP4 aims to provide new information on consumer and business behaviour by measuring the effects of major tangible factors of food waste, by identifying hidden and emerging profiles of consumer’ and business’ behaviours affecting food waste, and by allowing the detection of intangible food waste drivers. Such an objective is achieved through the development and the testing of Agent-Based Models (ABMs) and Bayesian networks (BNs). The report is structured as follows: Chapter 3 defines what a model is and the modelling approaches that will be utilized within REFRESH WP4. Chapters 4 and 5 illustrate the characteristics of ABMs and BNs. Chapter 6 outlines an ABM aimed at assessing the adoption of innovations for preventing or reducing the food waste generated by companies of the retail sector. Chapter 7 outlines a BN for characterizing consumers’ behaviour with respect to food waste. Chapter 8 anticipates potential modes of interaction between ABMs and BNs. Chapter 9 identifies a number of good practices to ensure effective data management and facilitate data exchange
EcosystemCondition
Storing and publishing data related to this repport: Nybø, S., Kolstad, A., Sandvik, H., Bakkestuen, V., Evju, M., Framstad, E., Grainger, M., Jepsen, J., Nater, C., Speed, J.D.M., Töpper, J., Venter, Z., Åström, J., Åström, S., Bargman, T., Silvennoinen, H.M. & Sydenham, M.A.K. 2023. Indikatorer for økologisk tilstand i våtmark, semi-naturlig mark og naturlig åpne områder under skoggrensa. NINA-rapport 2336. Norsk institutt for naturforskning
D4.2 - Model development and data protocol
The generation of food waste stems from a complex set of interacting behaviours of both food consumers and suppliers. Therefore, a complete approach to the problem requires an analysis of both sources of waste. Both Agent Based Models and Bayesian Networks provide a modelling approach that fits this purpose, since they allow the study of complex systems.
WP4 of the REFRESH project implements a behavioural economics approach in order to identify and measure the most important socio-economic conditions and potential policy interventions driving businesses’ and consumers’ choices in the generation of food waste. More specifically WP4 aims to provide new information on consumer and business behaviour by measuring the effects of major tangible factors of food waste, by identifying hidden and emerging profiles of consumer’ and business’ behaviours affecting food waste, and by allowing the detection of intangible food waste drivers. Such an objective is achieved through the development and the testing of Agent-Based Models (ABMs) and Bayesian networks (BNs).
The report is structured as follows:
Chapter 3 defines what a model is and the modelling approaches that will be utilized within REFRESH WP4.
Chapters 4 and 5 illustrate the characteristics of ABMs and BNs.
Chapter 6 outlines an ABM aimed at assessing the adoption of innovations for preventing or reducing the food waste generated by companies of the retail sector.
Chapter 7 outlines a BN for characterizing consumers’ behaviour with respect to food waste.
Chapter 8 anticipates potential modes of interaction between ABMs and BNs.
Chapter 9 identifies a number of good practices to ensure effective data management and facilitate data exchange
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