A multiple dispatch and partial backup hypercube queuing model to analyze emergency medical systems on highways

The hypercube is a spatially distributed queuing model based on Markovian analysis approximations, used to analyze the configuration and operation of server-to-customer emergency systems. In the present study we adapted the model to analyze emergency medical systems (EMS) on highways, which operate within particular dispatching policies. The study takes into consideration that: the emergency calls are of different types; the servers are distinct (e.g., rescue ambulances, medical vehicles); only certain servers in the system can service calls in a given region (partial backup); and, depending on the type of call, one or more identical or distinct servers are immediately dispatched to service such calls (multiple dispatch). We also consider that the arriving calls take place either along the highway or at the home location of a server – in which case the server does not need to travel to the call location. Finally, we analyzed the computational results of applying such an approach to the case study of an EMS operating on Brazilian highways.     

Data-mining,GIS and multicriteria analysis in a comprehensive method for bicycle network planning and design

In many Brazilian cities, the most common procedure for planning cycling networks is using aggregated population data in census tracts, which may not take into account the true origin and destination of trips. It may also not identify potential users of a particular mode of transport. This is particularly important considering that implementing cycling infrastructures should be based on the assumption that they are able to meet the users' needs. Therefore, the aim of this study is to develop and adopt an objective method to design and compare cycling networks based on data-mining of disaggregated origin-destination data, GIS resources, and multicriteria analysis techniques. The method follows three steps: 1) identifying potential users based on real user profiles, 2) designing proposed cycling networks and 3) a comparison between the networks proposed in this study and those developed by the municipality selected as a case study, considering real and potential users, as well as cost and benefit criteria. As a positive outcome, using disaggregated data allows for a reasonable estimate of the number of people served by the networks, a detailed analysis of their proximity to the infrastructure, as well as identifying potential users. Comparing cycling networks considering cost and benefit criteria shows that the chosen criteria were effective. It was also determined that the cycling network of the studied city poorly serves bicycle transport users, if compared to the proposed networks. These findings indicate that appropriate methods for planning cycling networks are still needed.     

A Text Mining-Based Review of Cause-Related Marketing Literature

Social networking sites (SNS) have challenged ethical issues about users’ information security and privacy. SNS users are concerned about their privacy and need to control the information they share and its use. This paper examines the security of SNS by taking a look at the influence of users’ perceived control of information over their information-sharing behaviors. Employing an empirical study, this paper demonstrates the importance of perceived control in SNS users’ information-sharing behaviors. Specifically, perceived control has been found to be negatively related to perceived privacy risk and attitude toward information sharing, which in turn has an impact on their information-sharing behaviors. In addition, gender has been shown to be an important factor that moderates the influences of both perceived control and perceived privacy risk on SNS users’ attitudes toward information sharing. Theoretical and practical implications are discussed.     

Residents' Participation in Events,Events Image,and Destination Image: A Correspondence Analysis

The Algarve, the most renowned Portuguese destination, is usually associated with its main tourist product, sun and beach. In 2007, the Portuguese government launched a program of events called Allgarve, intending to reposition the destination image. Conceived from the tourists' perspective, the Allgarve program was not initially welcomed by residents. Based on data from 384 questionnaires applied to residents in the region, this study examines the dimensions of the Algarve image and the Allgarve image, and shows how participation in Allgarve events is affecting both. The conclusions from this study reinforce the relevance of residents' participation in events in supporting repositioning strategies of a destination image.     

Institutional Change of Accounting Systems: The Adoption of a Regime of Adapted International Financial Reporting Standards

Richard Mattessich, New York: Garland Publishing (New Works in Accounting History), 2000, £43.00, xii +179pp. ISBN: 0-8153-3445-1     

Loading optimization of palletized products on trucks

In this paper we analyze the application of an optimization model to solve problems of arranging products (packed in boxes) on pallets, and arranging loaded pallets on trucks. Initially the model is applied to solve thousands of randomly generated experiments. Then, in order to assess the effectiveness of the solutions in practice, the model is applied to two Brazilian case studies: a food company distribution center and a large wholesale distribution center. We also discuss the use of this approach for optimizing the sizes of packages, pallets and trucks. In particular, we analyze the performance of the Brazilian standard pallet (PBR), adopted by the Brazilian Association of Supermarkets (ABRAS) and recommended by the Brazilian Logistics Association (ASLOG), in comparison with other standard pallets. By examining not only the loading of products on pallets, but also the loading of pallets on trucks, we can obtain global utilization indices which are useful to evaluate the economical performance of unit load systems in the logistics chain of a company.     

Getting fourteen for the price of one! Understanding the factors that influence land value and how they affect biodiversity conservation in central Brazil

Biodiversity policies are suffering an implementation crisis; the roots are deeply entrenched in the unfair competition between the public and private interests for suitable versus available land. In this article we propose a value-based equivalence method for compensation for the 20% compulsory reserves in the Taquari River sub-catchments, as legally required for central savannas of Brazil. Using regression techniques we analyzed 106 land deals in the Pantanal's watershed and identified the most significant variables influencing land value. We argue that the commonly used area-for-area, compensation mechanism, where 1 ha of compulsory reserve is missing, requires another hectare protected in the same catchments, instead of counteract habitat loss, is in fact harmful to biodiversity, stimulating progressive habitat destruction. We identified the economic forces behind deforestation and habitat fragmentation in the central savannahs of Brazil and proposed a market-based approach to counteract these forces using tools already available in environmental economics. We suggest that a dollar-for-dollar reference to determine land equivalence and compensation can better counter-balance the incremental losses from habitat destruction, while providing objectivity and transparency for trading alternatives.     

On the index tracking and the statistical arbitrage choosing the stocks by means of cointegration: the role of stock picking

In this paper, we propose a new methology for Index Tracking (IT) by means of cointegration which provides some significant improvements on that field. As the quality of the tracking portfolio (TP) depends highly on the stock selection procedure, we propose picking the stocks using a model selection technique based on optimizing the cointegration level of the TP and the benchmark index instead of selecting, as in previous papers the assets by ad hoc decisions. To illustrate an empirical application of these techniques we use daily closing prices in the Dow Jones Industrial Average (DJIA) index over two different periods; one period which goes from 1 January 1990 to 31 December 2001 previously used by other authors, and the bear and a turmoil period, which goes from January 2007 to May 2012, inside the current financial crisis. Using only five assets we are able to successfully track the DJIA index and our results improve the IT technique based on cointegration that chooses stocks with maximum capitalization level. We also have compared our results with a more traditional procedure based on correlation and again our results reveal superiority. The empirical illustration not only has been focused on the TP itself, but has also been extended to tracking the index with an added profitability of 5, 10, 15 or 20% and to long-short strategies, producing profitable results.     

Regional tourism development: culture,nature, life cycle and attractiveness

In this article, a simplified version of the tourism area life cycle model is developed in order to identify different stages of tourism evolution among the regions of Southwest Europe (Italy, France, Spain and Portugal). This information has been included as a dummy variable in a panel data model which aims to explain regional tourism attractiveness, between 2003 and 2008, including other variables related to sustainability (regional natural and cultural resources), regional innovative efforts and other elements related to tourism infrastructures and economic conditions that influence regional tourism performance. The results obtained show that 50% of the inland regions and 56% of the west coast regions are in the exploration stage while 52% of the south coast regions are in stagnation. An important result from the application of the panel data model is the identification of a positive relation between the regional availability of natural and cultural assets, the regional efforts on innovation and the evolution of tourism demand, suggesting that these regions are generally incorporating these local specific resources in innovative ways to differentiate their tourism supply.     

The preparedness of companies to adopt International Financial Reporting Standards: Portuguese evidence

This paper uses ordinal regression, structural equation modelling, and multivariate analysis techniques to investigate the preparedness to adopt IFRS that was exhibited by listed Portuguese companies in August 2003. We find the level of preparedness was significantly associated with company size, commercial internationalization, audit by a ‘Big 4’ accounting firm, and profitability. Our findings will help to indicate the pre-conditions that are likely to spur lagging companies (and countries) to prepare to implement IFRS.