Modelling regular and estimable inverse demand systems : a distance function approach

To be useful for policy simulation in the current climate of rapid structural change, inverse demand systems must remain regular over substanstial variations in quantities. The distance function is a convenient vehicle for generating such systems. It also allows convenient imposition of prior ideas about the structure of preferences required for realistic policy work. While the distance function directly yields Hicksian inverse demand functions via the Shepard-Hanoch lemma, they are usually explicit in the unobservable level of utility (u), but lack a closed-form representation in terms of the observable variables. Note however that the unobservability of u need not hinder estimation. A simple one-dimensional numerical inversion allows the estimation of the distance function via the parameters of the implied Marshallian inverse demand functions. This paper develops the formal theory for using distance functions in this context, and reports on initial trials on the operational feasibility of the method.

Modelling and simulation for manufacturing systems : challenges and benefits

Computer modelling and simulation is an indispensable tool of the information age, used extensively in design, analysis, operations, decision-making, optimization, and education and training. Manufacturing, production and design relies upon simulation to develop efficient production systems and factories that produce quality products. Computer simulation allows scientists and engineers to understand and predict three-dimensional and time-dependent phenomena in science and engineering discipline. This talk will focus on challenges associated with modelling and simulation in the manufacturing sector and through a number of case studies highlights the benefits gained through the use of such technologies.

Public relations, sophistry and the rhetoric of democracy

The intention of this paper is to explain the activities of public relations in terms of rhetorical theory and the history of sophistry. There is a burgeoning field of study in the US which is incorporating much cultural and communication theory into both historical and contemporary perspectives on these two ancient arts. Consequently, an examination of the purposive communication activities of public relations offers an opportunity to involve semiotics as a central concept for analysing the creation and maintenance of democratic thought and institutions. This paper highlights Peircean semiotics in this respect and suggests the relevance of Peirce's notion of the 'Pragmatic Maxim' and his use of the concept of 'habit' in terms of how public relations might be said to 'cast' the quality of the democracy which we experience.

The harm chain : a public policy development and stakeholder perspective

This paper introduces the concept of a ‘harm chain’ as a mechanism to further broaden the way in which firms and public policy makers consider potential negative outcomes from marketing activities. The purpose of conceptualizing a ‘harm chain’ is to examine specifically the creation of harm within networks of marketing exchanges that might occur throughout preproduction, production, consumption and post-consumption activities. The authors suggest that addressing issues where harm occurs allows both firms and policy makers to identify whether exchanges bring about harm, how relevant parties can address the core cause of harm, as well as how those who are harmed can be protected.

Features of public open spaces and physical activity among children : findings from the CLAN study

Objective : To examine associations between features of public open spaces, and children's physical activity.
Participants : 163 children aged 8–9 years and 334 adolescents aged 13–15 years from Melbourne, Australia participated in 2004.
Methods : A Geographic Information System was used to identify all public open spaces (POS) within 800 m of participants' homes and their closest POS. The features of all POS identified were audited in 2004/5. Accelerometers measured moderate-to-vigorous physical activity (MVPA) after school and on weekends. Linear regression analyses examined associations between features of the closest POS and participants' MVPA.
Results : Most participants had a POS within 800 m of their home. The presence of playgrounds was positively associated with younger boys' weekend MVPA (B = 24.9 min/day; p ≤ 0.05), and lighting along paths was inversely associated with weekend MVPA (B = − 54.9 min/day; p ≤ 0.05). The number of recreational facilities was inversely associated with younger girls' MVPA after school (B = − 2.6 min/day; p ≤ 0.05) and on the weekend (B = − 8.7 min/day; p ≤ 0.05). The presence of trees providing shade (5.8 min/day, p ≤ 0.01) and signage regarding dogs (B = 6.8 min/day, p ≤ 0.05) were positively associated with adolescent girls' MVPA after school.
Conclusion : Certain features of POS were associated with participants' MVPA, although mixed associations were evident. Further research is required to clarify these complex relationships.

Interpreting and modeling baggage handling systems as a system of systems

The topic of systems of systems has been one of the most challenging areas in science and engineering due to its multidisciplinary scope and inherent complexity. Despite all attempts carried out so far in both academia and industry, real world applications are far remote. The purpose of this paper is to modify and adopt a recently developed modeling paradigm for system of systems and then employ it to model a generic baggage handling system of an airport complex. In a top-down design approach, we start modeling process by definition of some modeling goals that guide us in selection of some high level attributes. Then functional attributes are defined which act as ties between high level attributes (the first level of abstraction) and low level metrics/measurements. Since the most challenging issues in developing models for system of systems are identification and representation of dependencies amongst constituent entities, a machine learning technique is adopted for addressing these issues.

Law-and-order politics, public-opinion polls, and the media

Over the past two decades, considerable political rhetoric has focused on the need to get tough on crime. Justification for this hard-line approach has been the public's apparent concem about rising crime rates and its increasing dissatisfaction with criminal sentencing. In this paper, we consider characteristics both of the measurement of public opinion and of the influences upon public opinion that may contribute to the depiction of a fearful, punitive community. In particular, we identify sources of bias in the methods and contexts of opinion-polling that promote a distorted representation of the discrepancy between community expectations of sentencing and the practices of the judiciary. We argue that the practices of pollsters, politicians, and media combine to create a self-sustaining obstacle to considered community discussion of crime and criminal sentencing.