Comparison of public perception and risk management decisions of aircraft noise near Taoyuan and Kaohsiung International Airports

This study uses multiple linear regression to identify factors contributing to perceived risk among residents near Taoyuan and Kaohsiung International Airports, the effect of perceived risk on their willingness to reduce risk, and consumption preferences that can reduce risk. Results indicated that residents' risk perception near Taoyuan Airport is lower than that near Kaohsiung Airport. Noise pollution experience, perceived probability of environmental contamination and negative effects, and perceived severity of catastrophic consequences significantly increase residents' perceived risks. Residents are willing to recognize and participate in mitigating the risks of aircraft noise pollution. The more risk residents perceive, the more willing they are to participate in disaster reduction and investigate means of improving the risk environment.     

基于小波变换的图像处理综述

小波分析主要广泛应用在科学研究和工程技术中。虽然在现阶段的小波理论相对成熟,近些年关于小波理论的应用和研究也在不断的发展和更新。小波变化在图像处理领域中的应用也囊括图像与处理的所有方面。本文通过介绍小波变换的起源,将小波应用在图像处理中的压缩、还原图像、边缘检测和图像分割,宏观剖析小波的研究现状历史、发展动向及优势。     

Determining the integrated volatility via limit order books with multiple records

The integrated volatility plays an important role in risk management and portfolio selection, the estimation methods regarding the quantity have been widely investigated, either under low-frequency data or high-frequency data, or a combination of both. In this paper, we propose a measure for the integrated volatility via limit order book data with possible presence of multiple records. The estimator is valid under mild conditions and it is easily implemented. The finite sample performance of the proposed estimator has been verified by simulation studies and we apply the method to some real high-frequency data-sets as well.     

Assessment of land use compatibility and noise pollution at Imam Khomeini International Airport

This study aimed to investigate land use planning around airports, by employing Remote Sensing (RS) and Geographic Information Systems (GIS), in conjunction with an optimization algorithm using an Integrated Noise Model (INM) software, to establish the potential effects of aircraft noise at Imam Khomeini International Airport (IKIA) in Tehran. We also checked for land use compatibility with the noise levels around IKIA and the residents' reaction to the noise. The research was carried out in three stages: a) the establishment of Strategic Noise Map (SNM) scenarios of the airport operation in the years 2011, 2020 and 2030 using the INM software; b) the assessment of the results with emphasis on the study area land uses and application of RS and GIS and the exposure of residents at different levels of environmental noise; and c) the assessment of the intensity of aircraft noise annoyance at various times of day and night. The results indicated that developing IKIA together with the residential development will increase airport noise. Hence proper management and control of noise at IKIA is essential.     

Social Networking the Brand—An Exploration of the Drivers of Brand Image in the South African Beer Market

Social network marketing has risen to the fore as an innovative and cost effective method of reaching a target audience. However, owing to the recentness of this marketing technique, there is little scholarly research in this area, especially in emerging markets. This study considered the impact of interactivity and media richness on brand attitude and brand image in the South African beer market. It also tested whether brand involvement has a moderating effect in this regard. The empirical work was conducted through an electronic survey of Facebook fan page users. The results revealed that interactivity had a positive effect on brand attitude, whilst media richness did not. Brand involvement, tested for a moderating effect on the above relationships, was not found to be significant. As expected, brand attitude was found to be strongly linked to brand image in this context. The findings stress the importance of bidirectional communication in favor of media rich design. This suggests that marketers of beer would be well advised to engage with customers on fan pages in routinely responding to their comments and allowing them to upload suitable content. If consumers feel that they have ‘ownership’ of these pages and are able to have a positive influence on brand evolution, fan pages are likely to yield positive results in social media campaigns.     

Managing a Global Retail Brand in Different Markets: Meta-Analyses of Customer Responses to Service Encounters

This study investigates how retailers can leverage their brand to shape customers’ satisfaction with service encounters. It develops and tests hypotheses about how brand, store, and consumer factors moderate customer responses to experience clues during retail service encounters. Six meta-regression analyses synthesize and compare results from 842 satisfaction equations describing customers’ encounters with a global retailer operating 400 stores in 32 countries. The results show how customers weigh their perceptions of service encounters differently depending on brand, store, and consumer factors. In markets where customers believe the retailer has high holistic brand quality, they place less weight on experience clues within the store. In markets where customers believe the retailer’s service brand promise, they place more weight on in-store experience clues. In markets where the retailer promises utilitarian value, customers weigh functional experience clues more heavily. In markets with an online purchasing channel, the effect of experience clues common to offline and online store environments is magnified, and unique clues are diminished. In addition, customers heavily weigh experience clues that fit their goals. In general, retail success factors include high brand quality (which makes customers more forgiving), a service brand promise that is mirrored in the store image (which makes customers attend to the experience clues aligned with them), and the careful monitoring and managing of retail touchpoints (to customize experience clues to each market). In this way, retailers can use customer-based strategies to effectively design and manage their global retail brand in different markets.     

Probabilistic assessment of fleet-level noise impacts of projected technology improvements

Demand projections for civil aviation have forecast increases in operations in future decades. Increases in demand are beneficial to the growth and advancement of the aviation industry, but also come with the threat of significant increase in environmental impacts. In response, the industry is focusing on programs to develop technologies for reductions in fuel burn, NO_x emissions, and noise. While aircraft-level impacts are an obvious metric of success, it is difficult to make informed robust technology investment decisions with respect to noise without understanding the fleet-level impacts. Fleet-level predictions of noise for technology explorations are especially complicated because it is computationally expensive, highly combinatorial, and airport-specific. Recently, rapid automated airport noise models have been developed, which can be simulated using Design of Experiments (DOE). The results of these simulations are used to generate surrogate models for airport noise contour area, which can be summed to yield a fleet-level impact. These models make use of simplifying assumptions to provide estimates of airport-level noise that are substantially cheaper to compute. They can be used to perform parametric trade-off analyses in conjunction with the equivalency assumption. Equivalency asserts that environmental impacts of a technology infused aircraft can be represented by scaled operations of the baseline aircraft in the same class. This simple assumption allows for the modeling of technology and market penetration factors under the same units: operations. This research uses surrogate models in conjunction with the equivalency assumption to examine two potential technology scenarios in a target forecast year, simulating technology and market performance factors to identify vehicle classes that could have the greatest impact in reducing contour area. Results show that technology and market performance of future notional Small Single Aisle and Large Single Aisle vehicle aircraft have the highest positive correlations with potential reductions in contour area.     

Price image consequences

This study investigates the consequences of price image. Two conditions, a policy of intermediate price condition and a policy of low price condition, were distinguished in an experiment. Three moderators (consumers' price conscientiousness, retailer's motives perceived by consumers and consumers' familiarity with the retailer) were considered for these two conditions. Using partial least squares analyses (PLS), we propose integrated models of the consequences of price image highlighting the direct and indirect effects of this concept on consumers' satisfaction, trust, attitude and future behavioral intentions to the retailer. This research fills a gap in the literature since previous studies have mainly focused on the antecedents of price image or have only investigated specific links between the variables considered. Finally, considering our findings, we recommend to managers to favor either a policy of intermediate or low price depending of their consumers' characteristics.     

Predictors and effects of retail brand equity – A cross-sectoral analysis

Although retailers increasingly seek to position themselves as strong, attractive, and unique brands, little is known about differences in retail branding among different retail sectors. This study analyzes the importance of perceived retail attributes for consumer-based retail brand equity (RBE), particularly the varying roles of these attributes in important retail sectors, and the effects of RBE on intentional loyalty. The authors examine empirical data on 2112 consumer evaluations of retail firms in the grocery, fashion, electronics, and DIY sectors and apply multi-group structural equation modeling. The results indicate that the importance of retail attributes for RBE varies among the different sectors, but a strong and stable link between RBE and consumers' intentional loyalty is evident across retail sectors. The sector-specific and cross-sectoral observations in this study provide managers with specific knowledge on the main levers of RBE in different retail contexts.