Investigation of the aerotropolis concept and its transferability around the world

Academic and industrial literature highlight the importance of airport-driven development (ADD) for the 21st Century. Several different types of ADD concepts have been defined, such as aerotropolis and airport city, but there are often substantial differences between authors about definitions. Such differences can potentially create confusion when ADD concepts are used by airport planners in their planning documents (e.g., master plans) and the marketing materials (e.g., brochures and airport websites). Given that large amounts of investment can often depend upon the marketing of a particular ADD concept, such confusion is highly problematic for the air transport industry. However, previous research has not explicitly addressed this issue. To help fill this research gap, the current paper has four different purposes, to: (1) compare definitions of the airport-driven development concepts in the academic literature, (2) compare definitions with real-life examples given by researchers; (3) compare academic definitions and examples with industry usage, as found on airport websites and in airport planning documents; and (4) investigate aspects of the transferability of the ADD concepts (from one region to another and from the academic literature to the industry and vice-versa). Using information from airport websites and master plans, it was found that the terms aerotropolis and airport city are used interchangeably by researchers but not by the industry. However, the use of terms by the industry depends heavily upon the (continental) location of airports, with the analysis presented in the paper distinguishing between airports in North America, Latin America, South and East Asia, Europe and the Middle East. Such analysis enables conclusions to be made about the transferability of ADD concepts, originating in the Global North, to the Global South

Time series forecasting with the WARIMAX-GARCH method

It is well-known that causal forecasting methods that include appropriately chosen Exogenous Variables (EVs) very often present improved forecasting performances over univariate methods. However, in practice, EVs are usually difficult to obtain and in many cases are not available at all. In this paper, a new causal forecasting approach, called Wavelet Auto-Regressive Integrated Moving Average with eXogenous variables and Generalized Auto-Regressive Conditional Heteroscedasticity (WARIMAX-GARCH) method, is proposed to improve predictive performance and accuracy but also to address, at least in part, the problem of unavailable EVs. Basically, the WARIMAX-GARCH method obtains Wavelet “EVs” (WEVs) from Auto-Regressive Integrated Moving Average with eXogenous variables and Generalized Auto-Regressive Conditional Heteroscedasticity (ARIMAX-GARCH) models applied to Wavelet Components (WCs) that are initially determined from the underlying time series. The WEVs are, in fact, treated by the WARIMAX-GARCH method as if they were conventional EVs. Similarly to GARCH and ARIMA-GARCH models, the WARIMAX-GARCH method is suitable for time series exhibiting non-linear characteristics such as conditional variance that depends on past values of observed data. However, unlike those, it can explicitly model frequency domain patterns in the series to help improve predictive performance. An application to a daily time series of dam displacement in Brazil shows the WARIMAX-GARCH method to remarkably outperform the ARIMA-GARCH method, as well as the (multi-layer perceptron) Artificial Neural Network (ANN) and its wavelet version referred to as Wavelet Artificial Neural Network (WANN) as in [1], on statistical measures for both in-sample and out-of-sample forecasting

Body yield and quality of fresh and post-freezing filet of Nile tilapia (Oreochromis niloticus) genetic groups

Abstract The aim of this study was to evaluate the body yield and quality of fresh and post-freezing filet of male and female fish of inbred and non-inbred AquaAmérica genetic group and the hybrid between the AquaAmérica and Tilamax varieties. Forty fish (20 males and 20 females) of each genetic group were housed in four 48-m3 hapa net cages, getting 120 fish per cage. The fish were housed at 51 days of age and farmed for 269 days. Pre-slaughter weight was higher (P<0.05) in the AquaAmérica × Tilamax males (0.805±0.204 kg) than in the inbred AquaAmérica male (0.643±0.115 kg). Filet yield percentage was higher (P<0.05) in the AquaAmérica × Tilamax males (32.14±4.72%) than in the inbred AquaAmérica (28.15±2.67%) and non-inbred AquaAmérica (29.06±2.80%) males. Head and viscera yield percentages, pH, color values (L*, a* and b*), shear force, drip loss and cooking loss did not differ significantly between the genetic groups and sexes. Alterations in meat quality were observed after freezing. In conclusion, inbreeding in the AquaAmérica variety resulted in reduced slaughter weight for males; AquaAmérica × Tilamax males have a higher filet yield; and filet quality is not influenced by crossing, inbreeding, or sex, but is changed after freezing