scholarly journals Challenges and Opportunities Underlining Africa’s Aviation Landscape: A Multiple Lenses Analysis

10.31355/77 ◽  
2021 ◽  
Vol 5 ◽  
pp. 035-057
Keyword(s):  
Travel Demand ◽  
Real Life ◽  
Air Transport ◽  
Aviation Industry ◽  
Quantitative Methodology ◽  
Growth Trend ◽  
Future Expectations ◽  
Individual Country ◽  
Data Set ◽  
Study Approach

Aim/Purpose: This study sought to apply the Structure Conduct Performance paradigm to Africa´s air transport landscape in general. To do that it examines the past, present and future expectations of four of Sub-Saharan Africa’s biggest avia-tion economies namely South Africa, Kenya, Ethiopia and Nigeria. Second-ary data containing historical passenger traffic was analysed and predictions for growth in the next ten years proposed. Background: There is consensus that overall the future of aviation in Africa has significant economic potential with significant other challenges needing to be overcome. The existence of a large land mass that requires connecting with itself, a growing population and specifically a growing middle class with an appetite for air travel, an extensive extractives sector and a growing tourism sector can provide the necessary demand conditions. In support of this, regional economic communities have led the way in implementation of Yamoussoukro Declaration (YD). This is especially so in West Africa through the West African Economic and Monetary Union (WAEMU) and the Banjul Accord Group (BAG), which have facilitated the development of the most, liberalized air transport market in Africa. At a higher level, the full implementation of YD requires that states disengage from the industry, liberalise access and facilitate the increased participation of the private sector. Some of the challenges that need to be actioned include high user charges and taxes, under-capitalization of African airlines and insufficient management experience, which have contributed significantly to the low profitability of African airlines. Methodology: The case study approach is generally used to generate an in-depth comprehension of a complex issue in real-life. It is an established research design that is used extensively in a wide variety of disciplines, particularly in the social sciences. The study adopts a quantitative methodology based on the selected regional sample of countries under study and adopts the Structure Conduct Performance (SCP) model as a framework for analysis. The data set was for the previous twenty years and it was exposed to linear extrapolation to determine the expected future growth. Trend lines were included and standard regression modelling revealed the R2 value for international and total air passengers per country. Findings: The research findings exposed the possibility of a significant upside in the development of the aviation industry in Africa ceteris paribus. In all the countries analysed it appears that the development of the industry is sup-ported by strong tourism and travel demand by international tourists, and the various individual country as well as continent-wide measures towards lib-eralization of the African airspace. Impact on Society: The findings of this study have shown that intra-Africa travel can be en-hanced by a strong collaboration between airlines and states. Some strong opportunities have arisen from the enhancement of deep ties between na-tional champions like Ethiopian Airlines and regional carriers in West Afri-ca. Indicating that cross border and cross airline partnerships are a key in-gredient for airlines to make a significant contribution to the economies in Africa.

Importance of Personal Data Protection Law for Commercial Air Transport

2017 ◽  
Vol 2017 (1) ◽  
pp. 35-44
Author(s):  
Dawid Zadura
Keyword(s):  
Data Protection ◽  
Public Information ◽  
Personal Data ◽  
Air Transport ◽  
Civil Aviation ◽  
Aviation Industry ◽  
Personal Data Protection ◽  
It Systems ◽  
Data Protection Law ◽  
The Law

Abstract In the review below the author presents a general overview of the selected contemporary legal issues related to the present growth of the aviation industry and the development of aviation technologies. The review is focused on the questions at the intersection of aviation law and personal data protection law. Massive processing of passenger data (Passenger Name Record, PNR) in IT systems is a daily activity for the contemporary aviation industry. Simultaneously, since the mid- 1990s we can observe the rapid growth of personal data protection law as a very new branch of the law. The importance of this new branch of the law for the aviation industry is however still questionable and unclear. This article includes the summary of the author’s own research conducted between 2011 and 2017, in particular his audits in LOT Polish Airlines (June 2011-April 2013) and Lublin Airport (July - September 2013) and the author’s analyses of public information shared by International Civil Aviation Organization (ICAO), International Air Transport Association (IATA), Association of European Airlines (AEA), Civil Aviation Authority (ULC) and (GIODO). The purpose of the author’s research was to determine the applicability of the implementation of technical and organizational measures established by personal data protection law in aviation industry entities.

Demographic Characterization of Anonymous Trace Travel Data

2015 ◽  
Vol 2526 (1) ◽  
pp. 19-28 ◽  
Author(s):  
Joshua Auld ◽  
Abolfazl (Kouros) Mohammadian ◽  
Marcelo Simas Oliveira ◽  
Jean Wolf ◽  
William Bachman
Keyword(s):  
Test Data ◽  
Large Scale ◽  
Travel Demand ◽  
Null Model ◽  
Demographic Characteristics ◽  
Travel Pattern ◽  
Data Set ◽  
Trace Data ◽  
Demographic Models ◽  
Pattern Information

Research was undertaken to determine whether demographic characteristics of individual travelers could be derived from travel pattern information when no information about the individual was available. This question is relevant in the context of anonymously collected travel information, such as cell phone traces, when used for travel demand modeling. Determining the demographics of a traveler from such data could partially obviate the need for large-scale collection of travel survey data, depending on the purpose for which the data were to be used. This research complements methodologies used to identify activity stops, purposes, and mode types from raw trace data and presumes that such methods exist and are available. The paper documents the development of procedures for taking raw activity streams estimated from GPS trace data and converting these into activity travel pattern characteristics that are then combined with basic land use information and used to estimate various models of demographic characteristics. The work status, education level, age, and license possession of individuals and the presence of children in their households were all estimated successfully with substantial increases in performance versus null model expectations for both training and test data sets. The gender, household size, and number of vehicles proved more difficult to estimate, and performance was lower on the test data set; these aspects indicate overfitting in these models. Overall, the demographic models appear to have potential for characterizing anonymous data streams, which could extend the usability and applicability of such data sources to the travel demand context.

A MODIFIED RATIO TYPE ESTIMATOR OF FINITE POPULATION MEAN UNDER STRATIFIED RANDOM SAMPLING SCHEME

2021 ◽  
pp. 58-60
Author(s):  
Naziru Fadisanku Haruna ◽  
Ran Vijay Kumar Singh ◽  
Samsudeen Dahiru
Keyword(s):  
Mean Square Error ◽  
Random Sampling ◽  
Minimum Mean Square Error ◽  
Real Life ◽  
Population Data ◽  
Auxiliary Variable ◽  
Mean Square ◽  
Data Set ◽  
Population Mean ◽  
The Mean

In This paper a modied ratio-type estimator for nite population mean under stratied random sampling using single auxiliary variable has been proposed. The expression for mean square error and bias of the proposed estimator are derived up to the rst order of approximation. The expression for minimum mean square error of proposed estimator is also obtained. The mean square error the proposed estimator is compared with other existing estimators theoretically and condition are obtained under which proposed estimator performed better. A real life population data set has been considered to compare the efciency of the proposed estimator numerically.

Long term variations of the hydrochemical composition of deep thermal ground water in the Lower Bavarian Molasse Basin – Causes and Perspectives

2021 ◽  
Author(s):  
Annette Dietmaier ◽  
Thomas Baumann
Keyword(s):  
Time Series ◽  
Real Life ◽  
Data Series ◽  
Fluid Composition ◽  
Molasse Basin ◽  
Deep Groundwater ◽  
Data Set ◽  
Groundwater Exploitation ◽  
Groundwater Aquifers

<p>The European Water Framework Directive (WFD) commits EU member states to achieve a good qualitative and quantitative status of all their water bodies.  WFD provides a list of actions to be taken to achieve the goal of good status.  However, this list disregards the specific conditions under which deep (> 400 m b.g.l.) groundwater aquifers form and exist.  In particular, deep groundwater fluid composition is influenced by interaction with the rock matrix and other geofluids, and may assume a bad status without anthropogenic influences. Thus, a new concept with directions of monitoring and modelling this specific kind of aquifers is needed. Their status evaluation must be based on the effects induced by their exploitation. Here, we analyze long-term real-life production data series to detect changes in the hydrochemical deep groundwater characteristics which might be triggered by balneological and geothermal exploitation. We aim to use these insights to design a set of criteria with which the status of deep groundwater aquifers can be quantitatively and qualitatively determined. Our analysis is based on a unique long-term hydrochemical data set, taken from 8 balneological and geothermal sites in the molasse basin of Lower Bavaria, Germany, and Upper Austria. It is focused on a predefined set of annual hydrochemical concentration values. The data range dates back to 1937. Our methods include developing threshold corridors, within which a good status can be assumed, and developing cluster analyses, correlation, and piper diagram analyses. We observed strong fluctuations in the hydrochemical characteristics of the molasse basin deep groundwater during the last decades. Special interest is put on fluctuations that seem to have a clear start and end date, and to be correlated with other exploitation activities in the region. For example, during the period between 1990 and 2020, bicarbonate and sodium values displayed a clear increase, followed by a distinct dip to below-average values and a subsequent return to average values at site F. During the same time, these values showed striking irregularities at site B. Furthermore, we observed fluctuations in several locations, which come close to disqualifying quality thresholds, commonly used in German balneology. Our preliminary results prove the importance of using long-term (multiple decades) time series analysis to better inform quality and quantity assessments for deep groundwater bodies: most fluctuations would stay undetected within a < 5 year time series window, but become a distinct irregularity when viewed in the context of multiple decades. In the next steps, a quality assessment matrix and threshold corridors will be developed, which take into account methods to identify these fluctuations. This will ultimately aid in assessing the sustainability of deep groundwater exploitation and reservoir management for balneological and geothermal uses.</p>

Fast incremental discovery of pointwise order dependencies

2020 ◽  
Vol 13 (10) ◽  
pp. 1669-1681
Author(s):  
Zijing Tan ◽  
Ai Ran ◽  
Shuai Ma ◽  
Sheng Qin
Keyword(s):  
Real Life ◽  
Effective Algorithm ◽  
Data Set ◽  
Ordering Semantics ◽  
Synthetic Datasets ◽  
Indexing Technique

Pointwise order dependencies (PODs) are dependencies that specify ordering semantics on attributes of tuples. POD discovery refers to the process of identifying the set Σ of valid and minimal PODs on a given data set D. In practice D is typically large and keeps changing, and it is prohibitively expensive to compute Σ from scratch every time. In this paper, we make a first effort to study the incremental POD discovery problem, aiming at computing changes ΔΣ to Σ such that Σ ⊕ ΔΣ is the set of valid and minimal PODs on D with a set Δ D of tuple insertion updates. (1) We first propose a novel indexing technique for inputs Σ and D. We give algorithms to build and choose indexes for Σ and D , and to update indexes in response to Δ D. We show that POD violations w.r.t. Σ incurred by Δ D can be efficiently identified by leveraging the proposed indexes, with a cost dependent on log (| D |). (2) We then present an effective algorithm for computing ΔΣ, based on Σ and identified violations caused by Δ D. The PODs in Σ that become invalid on D + Δ D are efficiently detected with the proposed indexes, and further new valid PODs on D + Δ D are identified by refining those invalid PODs in Σ on D + Δ D. (3) Finally, using both real-life and synthetic datasets, we experimentally show that our approach outperforms the batch approach that computes from scratch, up to orders of magnitude.

scholarly journals Certification software special SI air transport

2012 ◽  
pp. 14-22 ◽  
Author(s):  
А. Богоявленский ◽  
A. Bogoyavlenskiy ◽  
А. Боков ◽  
A. Bokov
Keyword(s):  
Metrological Service ◽  
Test Laboratory ◽  
Air Transport ◽  
Aviation Industry ◽  
Federal State ◽  
Federal State Unitary Enterprise ◽  
System Software ◽  
Federal Law ◽  
Measurement Systems ◽  
Unity Of Measurements

In order to implement the provisions of the Federal law No. 102-FZ and the regulations of the state system of ensuring the unity of measurements on the basis of the metrological service in the Federal state unitary Enterprise GosNII GA test laboratory software SI and information and measurement systems (IIS). In terms of software testing, the scope of authority of the laboratory includes algorithms and software (standalone and embedded) MI and IIS used in air transport and in the aviation industry. The article describes the main tasks solved by the laboratory in the process of certification of the SYSTEM software.

scholarly journals Modified Energy Statistic for Unsupervised Anomaly Detection

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Rupam Mukherjee
Keyword(s):  
Anomaly Detection ◽  
Real Life ◽  
Industrial Applications ◽  
Test Point ◽  
Distance Metrics ◽  
Data Set ◽  
Energy Distance ◽  
New Energy ◽  
Statistical Distance ◽  
Computational Simplicity

For prognostics in industrial applications, the degree of anomaly of a test point from a baseline cluster is estimated using a statistical distance metric. Among different statistical distance metrics, energy distance is an interesting concept based on Newton’s Law of Gravitation, promising simpler computation than classical distance metrics. In this paper, we review the state of the art formulations of energy distance and point out several reasons why they are not directly applicable to the anomaly-detection problem. Thereby, we propose a new energy-based metric called the P-statistic which addresses these issues, is applicable to anomaly detection and retains the computational simplicity of the energy distance. We also demonstrate its effectiveness on a real-life data-set.

scholarly journals Calibration-Based Estimators using Different Distance Measures under Two Auxiliary Variables: A Comparative Study

2021 ◽  
Vol 19 (1) ◽  
pp. 2-20
Author(s):  
Piyush Kant Rai ◽  
Alka Singh ◽  
Muhammad Qasim
Keyword(s):  
Mean Squared Error ◽  
Real Life ◽  
Distance Functions ◽  
Distance Measures ◽  
Auxiliary Variables ◽  
Data Set ◽  
Life Data ◽  
Squared Error ◽  
Real Life Data ◽  
Relative Root

This article introduces calibration estimators under different distance measures based on two auxiliary variables in stratified sampling. The theory of the calibration estimator is presented. The calibrated weights based on different distance functions are also derived. A simulation study has been carried out to judge the performance of the proposed estimators based on the minimum relative root mean squared error criterion. A real-life data set is also used to confirm the supremacy of the proposed method.

scholarly journals A Comparative Study of Students' Perceptions about Career Options in Art & Design

2021 ◽  
Vol VI (II) ◽  
pp. 88-96
Author(s):  
Gouhar Pirzada ◽  
Fariha Gul ◽  
Muhammad Abdullah Mahmood
Keyword(s):  
Comparative Study ◽  
Secondary Students ◽  
Quantitative Research ◽  
Educational Programs ◽  
Prospective Students ◽  
Data Set ◽  
Design Studies ◽  
Study Approach ◽  
Career Options ◽  
Professional Degrees

This research aims to examine secondary and higher secondary students' perceptions about career options related to Art & Design studies. A comparative study approach is conducted between the secondary and higher secondary students who opted for Art & Design and the prospective students of Art & Design. Each data set includes 200 respondents from both types of students, making a data set of 400 respondents. Based on constructionism and symbolic, philosophical assumptions, quantitative research methodology has been induced to complete this research. The data is gathered through structured telephonic interviews to analyze the responses. For this research, a checklist was designed that included the same type of questions from both types of students. The results show that the students, specifically in the context of Pakistan, look forward to being employed in a lavish environment through seeking professional degrees apart from whether the field they are choosing would win their interest. This study recommends researching the institutes where Art & design is not a part of the educational programs to transmit the attention of authorities towards it.

scholarly journals Uzbekistan’s Development under the Leadership of Various Political Reforms: The Case of Air Transport Industry

2021 ◽  
Vol 15 (1) ◽  
pp. 160-169
Author(s):  
Sarvar Khalikov ◽  
Wei Liu ◽  
Madina Turaeva ◽  
Liliya Achilova
Keyword(s):  
Soviet Union ◽  
Large Scale ◽  
Russian Language ◽  
Air Transport ◽  
Transport Sector ◽  
Aviation Industry ◽  
Policy Reforms ◽  
Political Reforms ◽  
Air Transport Industry ◽  
New Perspective

The First President of Uzbekistan, Islam Karimov, continued to isolate the country for many years even after the collapse of the Soviet Union in 1991, which in turn worsened all the strategic sectors in the country, especially the aviation market and tourism industries. However, in the period 2017-2018, the skyrocket in the number of tourists, from 2.69 million to 5.34 million, became possible due to the coming of Shavkat Mirziyoyev to power as the new President. But the lack of air connectivity kept reducing aspiration of traveling from non-CIS countries. To solve the issue, the new President Mirziyoyev’s large-scale policy reforms concerned the air transport sector, too. The main objective of the study is to compare the development of the country under the leadership of various political reforms using the aviation industry of Uzbekistan as an example. To achieve the purposes, the authors examine reciprocal action/influence between airlines, airports and government. In addition, a significant amount of data was collected from Russian-language sources to enrich the content. Even though the paper was written before the COVID-19 pandemic, the authors' research is still important to nudge readers into a new perspective.

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