Vicinity Of Airports Research Articles

Epizootic and epidemiological risks associated with development of Platov airport infrastructure (Rostov-on-Don)

Objective. To identify the potential epizootic and epidemiological risks arising from the development of the infrastructure of Platov Airport in the territory adjacent to the airport for the development, if necessary, of a set of anti-epidemic and preventive measures.
 Materials and methods. Epizootological monitoring was carried out in the vicinity of Platov airport, as well as on the territory of the complex itself for three seasons (20192021). The capture of small mammals was carried out according to the standard method of trap-lines with Hero crushers; 1200 trap-days were accumulated. Route records of bats with the determination of their species were carried out. The species belonging of blood-sucking arthropods was determined using determinants. Regulatory support for the above monitoring was formed in accordance with the current normative and methodological documents: SanPiN 3.3686-21 "Sanitary and Epidemiological Requirements for the Prevention of Infectious Diseases"; MP 3.1.0211-20 "Trapping, Accounting and Forecasting the Number of Small Mammals and Birds in Natural Foci of Infectious Diseases"; MU 3.1.3012-12 "Collection, Accounting and Preparation for Laboratory Examination of Blood-sucking Arthropods in Natural Foci of Dangerous Infectious Diseases".
 Laboratory studies of samples of extracted biomaterial for the search of markers of pathogens of natural focal infections were carried out taking into account the requirements of current regulatory documents. Samples for laboratory testing were formed in compliance with the principle of "one point of collection of material, one time of collection of material, one type of material".
 Results. The results of epizootological monitoring of the territory of the Platov airport (Rostov-on-Don) are presented, according to which a real possibility of the development of epizootics of dangerous infectious diseases among small mammals living in the adjacent territory to the Platov airport has been established. In order to eliminate potential risks that can lead to complications of the epidemiological situation, it is necessary to carry out planned deratization and acaricide treatments on the territory of Platov airport. The continuation of regular epizootological monitoring of the airport territories and adjacent territories remains very relevant.
 Conclusions. The results of epizootological monitoring of the territory of the Platov International Airport (Rostov-on-Don) revealed the presence of mouse-like rodents penetrating from the surrounding fields, including those belonging to groups I and II of infectious sensitivity to tularemia, which form potential epizootological risks. A comprehensive laboratory study of biological material obtained from mouse-like rodents captured during epizootological monitoring did not reveal markers of pathogens of natural focal infections. At the same time, systematic regular epizootological monitoring of the airport territory is necessary due to the presence in the territories surrounding the airport complex of natural foci of particularly dangerous infections common to humans and animals, where mouse-like rodents live and reproduce, including house mice and rats, capable of migrating and inhabiting residential and warehouse premises and in case of activation of epizootic process to introduce infection into the territory of the airport complex, especially in autumn and winter.

Two fatal autochthonous cases of airport malaria, Belgium, 2020.

We report an outbreak investigation of two fatal cases of autochthonous Plasmodium falciparum malaria that occurred in Belgium in September 2020. Various hypotheses of the potential source of infection were investigated. The most likely route of transmission was through an infectious exotic Anopheles mosquito that was imported via the international airport of Brussels or the military airport Melsbroek and infected the cases who lived at 5 km from the airports. Based on genomic analysis of the parasites collected from the two cases, the most likely origin of the Plasmodium was Gabon or Cameroon. Further, the parasites collected from the two Belgian patients were identical by descent, which supports the assumption that the two infections originated from the bite of the same mosquito, during interrupted feeding. Although airport malaria remains a rare event, it has significant implications, particularly for the patient, as delayed or missed diagnosis of the cause of illness often results in complications and mortality. Therefore, to prevent such severe or fatal outcomes, we suggest a number of public health actions including increased awareness among health practitioners, especially those working in the vicinity of airports, and increased surveillance of exotic mosquito species at airports.

Source emission and attribution of a large airport in Central China

Large airport operation release harmful air pollutants and have adverse impact on local air quality. As one of the world's top 30 busiest airports, Xinzheng International Airport (CGO) located in Zhengzhou City, China, its emission impacts needs particular attention. To identify the possible impacts and quantify the contribution of CGO airport to air pollution, a comprehensive approach including emission inventory, continuous monitoring, coupled with statistical modelling was adopted in this study. We estimated a more detailed emissions inventory for CGO, including hourly and annual emissions from engines and auxiliary power units of aircrafts during landing and take-off flight, and airside ground support equipment (GSE) in 2019. The results indicate that almost all the CGO specific parameters including operating hours, fuel consumption and unit LTO emissions at different modes were lower than ICAO reference values. The annual total emissions of NOx, CO, HC, SO2 and PM from CGO from aircrafts and GSE were 1207.7, 921.3, 123.7, 268.3 and 36.2 tons, respectively. In addition to SO2, the main engines of the aircraft accounted for 80.3%, 62.6%, 45.5% and 74.3% of the total emissions, respectively. Meanwhile, a continuous monitoring campaign was conducted for one year in the vicinity of CGO airport. The monitoring data were analyzed using generalized additive model (GAM) to quantify the impact of NOx emissions from airport activities on air quality at CGO. The results showed that even the influence of environmental and meteorological variables was greater, nearly 13% of the ambient NOx concentrations were explained by emissions from airport activities, indicating the importance of airport-related emissions as the major source affecting local air quality.

Evidence of aircraft activity impact on local air quality: A study in the context of uncommon airport operation

Wuhan Tianhe International Airport (WUH) was suspended to contain the spread of COVID-19, while Shanghai Hongqiao International Airport (SHA) saw a tremendous flight reduction. Closure of a major international airport is extremely rare and thus represents a unique opportunity to straightforwardly observe the impact of airport emissions on local air quality. In this study, a series of statistical tools were applied to analyze the variations in air pollutant levels in the vicinity of WUH and SHA. The results of bivariate polar plots show that airport SHA and WUH are a major source of nitrogen oxides. NOx, NO2 and NO diminished by 55.8%, 44.1%, 76.9%, and 40.4%, 33.3% and 59.4% during the COVID-19 lockdown compared to those in the same period of 2018 and 2019, under a reduction in aircraft activities by 58.6% and 61.4%. The concentration of NO2, SO2 and PM2.5 decreased by 77.3%, 8.2%, 29.5%, right after the closure of airport WUH on 23 January 2020. The average concentrations of NO, NO2 and NOx scatter plots at downwind of SHA after the lockdown were 78.0%, 47.9%, 57.4% and 62.3%, 34.8%, 41.8% lower than those during the same period in 2018 and 2019. However, a significant increase in O3 levels by 50.0% and 25.9% at WUH and SHA was observed, respectively. These results evidently show decreased nitrogen oxides concentrations in the airport vicinity due to reduced aircraft activities, while amplified O3 pollution due to a lower titration by NO under strong reduction in NOx emissions.

Atmospheric dispersion modelling of gaseous emissions from Beirutinternational airport activities

<abstract> <p>The projected increase of civil aviation activity, the degradation of air quality and the location of Beirut Airport embedded in a very urbanized area, in addition to the special geography and topography surrounding the airport which plays a significant role in drawing emissions to larger distances, demanded anassessment of the spatial impact of the airport activities on the air quality of Beirut and its suburbs. This is the first study in the Middle East region that model pollutant concentrations resulting from an international airport's activities using an advanced atmospheric dispersion modelling system in a country with no data. This followed validation campaigns showing very strong correlations (r = 0.85) at validation sites as close as possible to emission sources. The modelling results showed extremely high NO<sub>2</sub> concentrations within the airport vicinity, i.e., up to 110 μg∙m<sup>-3</sup> (which is greater than the World Health Organization annual guidelines) posing a health hazard to the workers in the ramp. The major contribution of Beirut–Rafic Hariri International Airport to the degradation of air quality was in the airport vicinity; however, it extended to Beirut and its suburbs in addition to affecting the seashore area due to emissions along the aircraft trajectory; this isan aspect rarely considered in previous studies. On the other hand, elevated volatile organic compound levels were observed near the fuel tanks and at the aerodrome center. This study provides (ⅰ) a methodology to assess pollutant concentrations resulting from airport emissions through the use of an advanced dispersion model in a country with no data; and (ⅱ) a tool for policy makers to better understand the contribution of the airport's operations to national pollutant emissions, which is vital for mitigation strategies and health impact assessments.</p> </abstract>

Аtmospheric wind flow around the mountain landscape in the vicinity of Danang airport and flight safety issues

Wind boundary layer flow over the mountain landscape and large structures located around runways (RWs) creates coherent vortex structures (CVSs) that can cross a glideslope and airspace in the vicinity of an airport. The aircraft, encountering a vortex structure, experiences significant changes of the aerodynamic forces and moments, what is especially hazardous due to proximity to terrain. From a mathematical point of view, the solution of this problem presents a challenge due to extremely large space – time scale of the phenomenon, the lack of relevant atmospheric models, as well as comprehensive initial – boundary conditions in numerical modeling. In this paper, a composite solution is constructed: the CVSs area generation is computed in sufficient details within the framework of the grid method. Based on the data obtained in the approximation of analytical functions, an initial vortex structure is formed, the evolution and stochastics of which are modeled within the potential approximation by means of Rankine vortices. The evaluation of the forces and moments increment from the impact of vortex structures on the aircraft was carried out by the panel method using the engineering approach. As an example, the CVSs, resulting from wind flow around the mountainous area of the Son Tra Peninsula, that is located short of RWs 35R-17L and 35L-17R of Da Nang airport, are investigated. To improve the computational grids quality and verify the method of solving the boundary value problem for the Reynolds-averaged Navier-Stokes equations, we used the criteria based on the principle of maximum pressure, requiring Q-parameter positivity property in the vortices cores and flow separation regions. A CVS related aviation event, involving a passenger aircraft MC-21, is studied. The aircraft, after takeoff from RW 35R-17L setting the course close to the direction of the vortex wind structure axis from the Son Tra Peninsula, encountered the mountainous area CVS.

IVOC/SVOC and size distribution characteristics of particulate matter emissions from a modern aero-engine combustor in different operational modes

The particulate matter (PM) of Intermediate-Volatile Organic Compounds (IVOC) / Semi-Volatile Organic Compound (SVOC) from aircraft engine emissions, despite being significant precursors of secondary organic aerosols deteriorating air quality in the vicinity of airports, have not been fully investigated at molecular level. In this study, the particulate IVOC/SVOC emissions from a rig test on a Technology of Low Emission Stirred Swirl aero-engine combustor, being operated with dual diffusion and premixed-dominant combustion modes, have been characterized via a two-dimensional gas chromatography-time of flight mass spectrometer (GC × GC-ToFMS). The IVOC/SVOC compounds, including 25n-alkanes, 15 cyclic alkanes and 13 polycyclic aromatic hydrocarbons were analyzed in this study. We found that including the premixed-dominant combustion mode at climb/takeoff conditions reduced the particulate IVOC/SVOC emissions significantly by nearly 80%, compared to using the diffusion combustion mode alone at idle/approach condition. Meanwhile, the measurements on organic PM obtained from a scanning mobility particle sizer spectrometer with a catalytic stripper demonstrated a consistent trend with the the IVOC/SVOC emissions, which were also suppressed by over 85% at climb/takeoff compared to idle/approach. The inter-relationship between the size-resolved organic PM and the speciated IVOC/SVOC emissions has been further explored, showing that the nucleation mode PM is dominated in organic PM by over 50%, in which IVOCs/SVOCs may be a significant contributor. This study expands the understanding of aviation-emitted organic particles, and suggests a path for future aero-engine development to mitigate the IVOC/SVOC emissions particularly at low power conditions. However, compared to the real aero-engine emissions, the results from rig combustor tests should be interpreted with great care, since there are still some work to be done to establish the quantitative relationship between emissions from rig combustors andthose from real engines.

The effects of the COVID-19 lockdowns on the composition of the troposphere as seen by In-service Aircraft for a Global Observing System (IAGOS) at Frankfurt

Abstract. The European research infrastructure IAGOS (In-service Aircraft for a Global Observing System) equips commercial aircraft with a system for measuring atmospheric composition. A range of essential climate variables and air quality parameters are measured throughout the flight, from take-off to landing, giving high-resolution information in the vertical in the vicinity of international airports and in the upper troposphere–lower stratosphere during the cruise phase of the flight. Six airlines are currently involved in the programme, achieving a quasi-global coverage under normal circumstances. During the COVID-19 crisis, many airlines were forced to ground their fleets due to a fall in passenger numbers and imposed travel restrictions. Deutsche Lufthansa, a partner in IAGOS since 1994 was able to operate an IAGOS-equipped aircraft during the COVID-19 lockdown, providing regular measurements of ozone and carbon monoxide at Frankfurt Airport. The data form a snapshot of an unprecedented time in the 27-year time series. In May 2020, we see a 32 % increase in ozone near the surface with respect to a recent reference period, a magnitude similar to that of the 2003 heatwave. The anomaly in May is driven by an increase in ozone at nighttime which might be linked to the reduction in NO during the COVID-19 lockdowns. The anomaly diminishes with altitude becoming a slightly negative anomaly in the free troposphere. The ozone precursor carbon monoxide shows an 11 % reduction in MAM (March–April–May) near the surface. There is only a small reduction in CO in the free troposphere due to the impact of long-range transport on the CO from emissions in regions outside Europe. This is confirmed by data from the Infrared Atmospheric Sounding Interferometer (IASI) using retrievals performed by SOftware for a Fast Retrieval of IASI Data (SOFRID), which display a clear drop of CO at 800 hPa over Europe in March but otherwise show little change to the abundance of CO in the free troposphere.

Impact of Air Taxis on Air Traffic in the Vicinity of Airports

The extension of the current urban transportation system utilising the third dimension by air taxi (AT) operations represents a potential solution for the congestion of metropolitan areas. A major asset for AT operations is the connection to existing airports enabling the access to multiple other transportation systems. This paper develops an analytical model for AT operations and their capacity impact on airports, exemplary for Hamburg airport. The model is developed, based on the results of a fast time simulation (FTS) considering multiple aspects, such as vehicle configuration and touchdown and lift-off areas (TLOF). Collectively, three integration methods were analysed, each of them impacting the conventional air traffic differently. The results show that an integration using the runway-system is not possible with five ATs per hour. Further methods allow an integration of up to 20 air taxis per hour. Additionally, an energy consumption analysis of the ATs is conducted. Finally, proposals are given for integrating ATs at an airport and further strategies to extend the analytical model. Through this work, a model to calculate and predict an AT’s influence on the airside capacity of an airport is designed. This is an important step for the practical implementation of AT operations at airports.

Perception Analysis of Airport Noise on Environment, Sosial, and Economic at Halim Perdana Kusuma Airport

The increase in aircraft noise is an inevitable impact of Halim Perdanakusuma Airport (HLP) commercial operations since 2014. The perception of noise risk from people living around airports is a factor that must be considered for formulating strategic, comprehensive airport noise control plans and policies, and participatory. The purpose of this study is to analyze the noise conditions and the perception of environmental noise risk to the perception of socioeconomic risks that live around the HLP Airport. The results of the WECPNL calculation in area of Jaticempaka and Makasar was ranged between 73.80—79.72. The environmental noise risk of the community in HLP Airport’s vicinity was studied from knowledge aspects, perception aspects, and behavior aspects. Most of respondent were in the moderate category of environmental noise risk knowledge and environmental noise risk perception. While for environmental noise risk behavior aspects most respondent were in the low category. The social and economic risk perception for most respondent were in the moderate category. The conclusion of this research is that the community settlements in HLP Airport’s vicinity at the distance of 300 m and 600 m does not meet the environmental noise standard for a residential area which is regulated at 55 dB(A). The ideal area for settlement use in the vicinity of HLP Airport is Makassar area which is located 600 m from HLP Airport’s runway.

Using Machine Learning Methods to Identify Particle Types from Doppler Lidar Measurements in Iceland

Doppler lidars are used worldwide for wind monitoring and recently also for the detection of aerosols. Automatic algorithms that classify the lidar signals retrieved from lidar measurements are very useful for the users. In this study, we explore the value of machine learning to classify backscattered signals from Doppler lidars using data from Iceland. We combined supervised and unsupervised machine learning algorithms with conventional lidar data processing methods and trained two models to filter noise signals and classify Doppler lidar observations into different classes, including clouds, aerosols and rain. The results reveal a high accuracy for noise identification and aerosols and clouds classification. However, precipitation detection is underestimated. The method was tested on data sets from two instruments during different weather conditions, including three dust storms during the summer of 2019. Our results reveal that this method can provide an efficient, accurate and real-time classification of lidar measurements. Accordingly, we conclude that machine learning can open new opportunities for lidar data end-users, such as aviation safety operators, to monitor dust in the vicinity of airports.

Polish dilemmas in compensating landowners in the vicinity of airports – black letter law vs. law in action

Negative externalities of airport operations, associated mostly with noise, are becoming increasingly onerous to homeowners, as air transport develops. In order to resolve the neighbour conflict, the legislator introduces restricted use areas (RUAs) within which noise levels may be exceeded. In these areas, limitations in the use of land are introduced in order to ensure rational development of land surrounding airports and compensation claims are awarded to landowners. These claims compensate planning restrictions concerning the use of land and costs spent on ensuring sound insulation of buildings. The practical application of provisions on RUAs diverges from their literal content bringing about the compensation of loss without a legal and economic justification and the abandonment of the provisions’ objectives. It is argued that a revision of current practice is required in order to fulfill the legal, social and economic objectives of the regulations in force.

How Does a Community Respond to Changes in Aircraft Noise? A Comparison of Two Surveys Conducted 11 Years Apart in Ho Chi Minh City.

There have been many arguments about findings of an increase in noise annoyance over time and a recommendation of stricter limits on aircraft noise levels to protect the health of residents around airports. It is crucial to examine if the established exposure–response relationship is suitable for designing future aircraft noise regulations. This study was focused on identifying changes in response to noise over time by comparing community responses from two surveys conducted in 2008 and 2019 at Tân Sơn Nhất (TSN) international airport. Annoyance was found to significantly reduce in 2019 compared to 2008; however, changes in sleep quality were relatively small. Unexpectedly, a gradual increase in the annoyance due to aircraft noise was not found. Results of multiple regression analysis indicated that differences in the reaction of the residents to noise in the two studies were significantly attributed to nonacoustic factors. Noise sensitivity and dissatisfaction with the living environment (e.g., inconvenience in accessing workplace) considerably affect noise annoyance, whereas noise sensitivity, age, and dissatisfaction with the green environment of living areas affect sleep quality. These findings suggest the fulfillment of desired living environment as effective measures for mitigating noise impacts on residents in the vicinity of busy airports.

On the characterization of mountain waves and the development of a warning method for aviation safety using WRF forecast

Mountain wave and icing episodes are adverse meteorological conditions that can affect aviation safety and air traffic management in the vicinity of airports. This study presents a mountain wave characterization performed for the winter months from 2001 to 2010 in the center of the Iberian Peninsula, close to an important orographic barrier and next to the busiest Spanish airport. Sixty-eight episodes were simulated using the Weather Research and Forecasting model (WRF). Five simulated atmospheric variables (wind direction, wind speed, atmospheric stability, liquid water content and temperature) were evaluated in several grid points at 2800 meters above sea level in leeward, windward and over the summit of the mountains. Based on the percentiles and thresholds obtained from the characterization, a decision tree was developed with the aim to forecast and warn the occurrence of mountain waves, wave clouds and icing events. The decision tree and the three warning methods were validated against satellite images. The results show satisfactory scores, with a percentage correct of detection above 70% for the three warnings.

Lasso Penalty method for variable selection in database construction process and developing house value models in RUA

The aim of this paper is to confirm that in the case of the analysis of large data sets, the Lasso Penalty Method (LASSO) gives better results in the process of eliminating variables for the purpose of real estate value models than classical methods such as Ridge Regression. The selection of variables for an econometric model is closely related to its quality and suitability for intelligent decision support systems applied in the processes of real estate value management in the vicinity of airports. Airports face huge compensation payments as a result of the negative noise externalities they generate for neighbouring properties. Both the scale and complexity of this phenomenon require the development of intelligent systems to support airport decisions on compensation management and to monitor the environmental effects of these decisions. The selection of variables describing property characteristics is the first step in building a cost-effective system, as many of these characteristics are qualitative in nature. While systems can feed spatial information and data available in official registers, qualitative data often requires individual assessments and field visits. Hence, assessing the suitability of a given piece of information for a model is crucial at the data collection stage, especially when long time series are being constructed. For this purpose, it is proposed to use LASSO and then to model the value of developments consisting of detached houses on sets of variables selected with this method. The results obtained for LASSO are promising. They give the best set of qualitative and quantitative explanatory variables. The method has less variability than other subset selection methods tested. LASSO reduces some coefficients and zeros others, while retaining the positive attributes of subset selection and ridge regression. Furthermore, LASSO performs variable selection and coefficient estimation simultaneously. In the perspective of large set formation, this method of variable selection can also be used in Data Mining methods for estimating the value of large sets of properties. The obtained results can successfully support the process of property value management in the vicinity of airports

Bryophyta di Sekitar Kawasan Bandar Udara Internasional Syamsudin Noor Kalimantan Selatan

The diversity of mosses around the Syamsudin Noor international airport was never reported. This study aimed to reveal the variety of moss around the Syamsudin Noor International Airport area. This research uses the purposive sampling method. Measurement of environmental parameters includes air temperature, light intensity, humidity, and soil pH. Moss identification refers to the book A Handbook of Malesian Mosses volume 1 Sphagnales to Dicranales and A Handbook of Malesian Mosses volume 2 Leucobryaceae to Buxbaumiaceae. The moss morphological characters observed included the leaves, stems, and rhizoids using a stereomicroscope. The results showed that in Syamsudin Noor International Airport's vicinity, there are as many as five types of moss consisting: Pseudoracelopus acaulis, Hyophila apiculata Homalothecium lutescens, Ectropothecium falciforme, Fissidens atroviridis. The most dominant type of moss is Pseudoracelopus acaulis. The range of environmental parameter values ??is air temperature 28-34oC, light intensity 20-35 lux, humidity 74-84%, and soil pH 7. This study's results are preliminary data to determine the environmental change around Syamsudin Noor International Airport.

DEPARTURE TRAJECTORY OPTIMIZATION FOR NOISE ABATEMENT PROCEDURE IN SOEKARNO-HATTA INTERNATIONAL AIRPORT

Air traffic noise emission has been a growing concern for communities living within the vicinity of airports due to a massive increase in air traffic volume in recent years. This work focuses on the noise annoyance problem by optimizing one of the RNAV trajectories, which aims to minimize the noise footprint of a flying aircraft in a low altitude trajectory. Optimal control theory is applied to minimize the number of awakenings caused by a departing aircraft while constraining the relative increase of fuel consumption with regard to a fuel-minimal trajectory. The aircraft simulation model is based on the BADA 3 database, while the noise is modeled according to the ANP database, both published by EUROCONTROL. The methodology is demonstrated for the Soekarno-Hatta International Airport (CGK) in Jakarta; the result shows the comparison between fuel-minimal trajectories and noise-minimal trajectories for seven aircraft types representing the fleet mix at CGK. The number of awakenings of the noise-minimal trajectories is reduced by 30.33%, with an additional of 5% fuel consumption for the seven aircraft types when compared to the fuel-minimal trajectory.

Potentiality Analysis of Physical Development of International Airports Surrounding Zones

The areas surrounding Iraqi international airports generally suffer from a lack of interest in their planning in a manner compatible with the airport with the absence of integrated planning between the airport and the city. From here, the search problem appears. It is represented by a lack of interest in the integration of urban planning and airport planning and the lack of a clear policy to deal with the areas surrounding international airports. A desire to achieve the research aims to introduce compatible uses in the vicinity of airports and review the planning and global directions for dealing with the areas surrounding the airports within urban areas. In contrast, the second aspect of the research aims to assess the uses of the land surrounding the airports and determine their compatibility with the planning directions of these areas. The research studied the areas surrounding Baghdad International Airport and conducted a comprehensive survey of land uses within a distance of (4) km from the airport runway center. Then it conducted an analysis using geographical information systems(GIS) and studied the survey results, and assumed that the current uses of the areas surrounding international airports do not reflect the optimal use of these areas and, therefore, not exploiting the current capabilities and development opportunities provided by the airport for the surrounding areas. The research hypothesis is tested through the use of (GIS )and displaying the results of the field survey of land uses within the study area.
 Furthermore, the methodology of comparative spatial analysis was done by monitoring the current situation through (GIS) and analyzing the result and comparing it with international standards to achieve results that contribute to attaining physical development. The first part of the research presents an introduction to international airports that are one of the most significant urban nodes in the city. The surrounding areas have many features that require regulation and coordination. The presence of incompatible uses in the vicinity of the airport leads to the loss of the advantages provided by the airport and the occurrence of adverse effects on the surrounding areas. Part two introduced compatible uses in the vicinity of airports. Part Three analyzed the case study of the areas surrounding Baghdad Airport. Then the results of the field survey showed that there are incompatible uses and the absence of compatible uses, and this case requires the identification of many planning procedures and benefiting from global trends in planning these areas.

Assessment of Socio-economic Impact of Yola International Airport on Jimeta Residents, Adamawa State, Nigeria

Airports plays an important role in shaping the economic activities of communities of which they serve due to the fact that they are among the largest public facilities in the world. The availability of air transportation and its associated airport infrastructure constitute a significant stimulus to economic and social development for the communities located in neighboring areas of the airports. This study examines the impact of Yola international airport on socio-economic activities of Jimeta residents. The study used primary data which were generated from the respondents through the administration of 300 copies of structured questionnaire. The combination of stratified and systematic random sampling was used to administer the questionnaire. Frequency counts and Student T-test were used to analyze the data on the socio-economic activities before and after the upgrade of the airport. The study revealed that, Yola International airport influenced the growth of socio-economic activities in the area by 62.7%, increasing patronage of customers 34.7% as well transport services 39.0%. The study further revealed that there is a significant difference at p<0.01 in the socioeconomic activities of the residents before and after the upgrade of Yola International airport (2003-2019). The result also revealed that, Occupation and educational level significantly influence the major activities of the residents of Jimeta before and after the Airport upgrade. The study concluded that Yola international airport has impacted positively on socio economic activities of Jimeta residents. Thus, the following recommendations were put forward: there is a need for the local economic enterprise to actively identity, monitor and supervise the creation and establishment of different business establishments around the airport vicinity.

The Impact of Airport Proximity on Single-Family House Prices—Evidence from Poland

Airports in Poland are obliged to observe the sustainable development principle and therefore to reduce their environmental impact by creating so-called limited use areas (LUA) related to aircraft-generated noise. The research authors analyzed airports’ impact on the prices of single-family homes located in the vicinity of airports. The LUA is therefore defined as the area designated to study the airport’s specific impact on the single-family housing market. This is a formal limit which determines the examination of price changes and the decision-making conditions of market participants. This methodical approach is justified because no excessive noise is expected outside the LUA. Therefore, two markets in the vicinity of airports were examined. One is in an LUA which is closer to the airport, and the other market is outside the LUA where external noise effects are not present. Thus, we consider that real estate located outside the LUA is not subject to a significant negative impact from the airport. The study covered the Gdańsk Lech Walesa Airport and the Warsaw Chopin Airport in Poland in adjacent areas with the research time horizon of 2013–2017. The study examined single-family house prices. We used a time series analysis, a classic multiple regression model, a spatial autoregressive model, and geographically weighted regression models in our research. Additionally, Geographical Information System (GIS) tools were used to visualize the results of our study. The research result was to demonstrate different impact levels of airports on the prices of single-family houses located in limited-use areas in Gdańsk and Warsaw. This research carries significant implications for the general public and airports’ economic decisions in resolving conflicts between the airport and residential property owners in airports’ vicinities.