Forecasting airport passenger traffic: the case of Hong Kong International Airport

Hong Kong International Airport is one of the main gateways to Mainland China and the major aviation hub in Asia. An accurate airport traffic demand forecast allows for short and long-term planning and decision making regarding airport facilities and flight networks. This paper employs the Box-Jenkins Autoregressive Integrated Moving Average (ARIMA) methodology to build and estimate the univariate seasonal ARIMA model and the ARIMX model with explanatory variables for forecasting airport passenger traffic for Hong Kong, and projecting its future growth trend from 2011to 2015. Both fitted models are found to have the lower Mean Absolute Percentage Error (MAPE) figures, and then the models are used to obtain ex-post forecasts with accurate forecasting results. More importantly, both ARIMA models predict a growth in future airport passenger traffic at Hong Kong

Probe into Reasons of Financial & Statistical Accountings Integration and Discussion of Conception

As national economy’s accounting system improves and perfects day by day, financial accounting and statistical accounting, two of the three major accounting components, communicate with each other more and more tightly. To probe into how to strengthen the communication between financial and statistical accountings and seek for the establishment of integrated pattern for financial and statistical accountings will largely improve economic accounting efficiency, reduce economic accounting cost and increase the service value of economic accounting achievements. In this paper the authors analyzes the necessities and conditions of financial and statistical accountings and propose of constructive conception for improving financial and statistical accountings integration based on the exploration and definition of financial and statistical accountings integration with the help of discussion over relationship between financial and statistical accountings.Key Words: Financial Accounting; Statistical Accounting; Integratio

Theory of the Three-Group Evolutionary Minority Game

Based on the adiabatic theory for the evolutionary minority game (EMG) that we proposed earlier[1], we perform a detail analysis of the EMG limited to three groups of agents. We derive a formula for the critical point of the transition from segregation (into opposing groups) to clustering (towards cautious behaviors). Particular to the three-group EMG, the strategy switching in the "extreme" group does not occur at every losing step and is strongly intermittent. This leads to an correction to the critical value of the number of agents at the transition, $N_c$. Our expression for $N_c$ is in agreement with the results obtained from our numerical simulations.Comment: 4 pages and 2 figure

Morphea-like localized involutional lipoatrophy—a case report associated with family history

AbstractLocalized involutional lipoatrophy is a rare, sporadic disease with female tendency and characterized by focal loss of adipose tissue. We report two sisters, aged 8 years and 6 years, who developed asymptomatic depressive areas on the upper left arm and upper right arm, respectively. Cutaneous sonography showed slight thickening of the dermis and remarkably decreased thickness of the cutaneous fat tissue. Histopathology of a biopsy specimen from the elder sister revealed an increase in homogenized collagen bundles and entrapment of eccrine glands high in the dermis, as well as small to medium-sized lipocytes with a scarcity of inflammatory cells

The implementation of a reliable router chip

Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994.Includes bibliographical references (leaves 43-44).by Kin Hong Kan.M.Eng

Entry patterns of low‐cost carriers in Hong Kong and implications to the regional market

This study aims to provide a better understanding of Asia’s lowcost carriers (LCCs) by empirically analysing their route entry patterns in Hong Kong. Two alternative models have been tested, namely a standard probit model and a generalized least squares estimation. Consistent findings from the two models suggest that LCCs in Asia have a clear preference for high density routes, and the dominance of incumbent full service airlines (FSAs) and the lack of secondary airports are not critical to the growth of LCCs. However, government regulations and airport access are main impediment factors. Despite the adoption of long-distance lowcost models by the region’s airlines, geographic distance still plays an important role in LCCs’ entry decisions. For the growth of low-cost travel and associated benefits in the tourism industry and overall economy, it is important for governments in the region to liberalize aviation markets, provide sufficient airport capacity, and promote efficient allocation of airport slots