Guangzhou Baiyun International Airport Research Articles

Terminal Traffic Situation Prediction Model under the Influence of Weather Based on Deep Learning Approaches

In order to quantify the degree of influence of weather on traffic situations in real time, this paper proposes a terminal traffic situation prediction model under the influence of weather (TSPM-W) based on deep learning approaches. First, a feature set for predicting traffic situations is constructed based on data such as weather, traffic demand, delay conditions, and flow control strategies. When constructing weather data, a terminal area weather quantification method (TAWQM) is proposed to quantify various weather feature values. When constructing the traffic situation label, fuzzy C-means clustering (FCM) is used to perform cluster analysis on the traffic situation, and the traffic situation is marked as bad, average, or good. Accordingly, the multi-source data is fused as the input vector, based on the combined prediction model of convolutional neural network (CNN) and gated recurrent unit (GRU), TSPM-W is constructed. Finally, based on the historical operation data of the Guangzhou Baiyun International Airport terminal area, the proposed data set is used to predict the traffic situation time series at intervals of 1 h, 3 h, and 6 h. The comparative experimental results show that the proposed time series prediction model has higher prediction accuracy than other existing prediction methods. The proposed dataset is able to more accurately predict the traffic situation in the terminal area.

Measures for Airlines to Reduce Airport Congestion Fees: Scheme Design and Performance Assessment

Congestion at busy airports has become one of the major bottlenecks to air transportation development around the world. Airport congestion pricing is one of the most popular market-based mechanisms to relieve airport congestion. This study develops a steady-state congestion model, which considers the market power of airlines and the costs of externalities (i.e., airlines, passengers, and the environment), to estimate congestion fees for different times and queue lengths. To reduce airport congestion fees, we propose and discuss two different options for airlines: schedule adjustment and flight merging in detail from the views of economic, operational, and environmental benefits, and provide a comparative performance analysis of two different measures using an empirical example of Guangzhou Baiyun International Airport (CAN). Our analysis shows that: (1) during the peak period, the congestion fees for one specific flight (operated by B738) may exceed 10,000 RMB, even reach 25,000 RMB; (2) both the methods can relieve congestion and effectively reduce congestion fees; (3) in the CAN case, flight merging by a bigger aircraft B744 is more effective in congestion relief, total fees reduction, and emission mitigation; and (4) schedule adjustment has a better performance of reducing fees per adjusted flight and is more simple and straightforward. We also provide several recommendations to relieve congestion and cut congestion fees.

Novel Methodologies for the Development of Large-Scale Airport Noise Map

Guangzhou Baiyun International Airport (BIA) is the core airport of Guangdong–Hong Kong–Macau Greater Bay Area. This study produced the noise maps of BIA during summer and winter using a simplified calculation method for the weighted equivalent continuous perceived noise level (LWECPN). Particularly, this method used open-source flight data and short-term noise measurement to replace the traditional long-term noise measurement method. The accuracy of the developed noise map was verified by the field experimental data with an average error of 1.5 dB. The noise maps were analyzed in many aspects including the area and population under different noise levels, the spatial distribution of the aircraft noise, the distribution of noise sensitive points, and the land use condition around BIA. It was manifested that about 22.22% and 25.46% of the total population of the five administrative regions were exposed to LWECPN > 70 dB during summer and winter, respectively. The total area within the noise-affected area that violated the noise limit were about 18.740 km2 and 18.109 km2 during summer and winter, respectively.

Surface control techniques for tunnels in karst areas under airport taxiways

Under the conditions of karst development and soft upper and hard lower strata, ground-settlement control for tunnels under airport taxiways is stricter than for ordinary tunnels. Tunnel construction methods and karst disposal measures are also important. These are engineering problems that need to be solved urgently to ensure the safe passage of tunnels under airport taxiways. Taking the intercity railway tunnel under taxiways T3 and T4 of Guangzhou Baiyun international airport as a case study, theoretical analysis and field tests on karst treatment measures and ground-settlement control measures were conducted. Karst treatment measures and a pile support plate (PSP) structure have been proposed to support the taxiways. The effect of the system was analysed numerically method and on-site surface settlement was monitored. The maximum monitored settlement of T3 and T4 taxiway surfaces was 5.90 mm and the differential settlement was 0.12‰. The numerical results provided a similar value and did not exceed the settlement control standard for airport taxiways. The key technologies for the construction of tunnels under airport taxiways in karst areas and upper soft and lower hard strata are presented, karst disposal measures are summarised and the PSP protection system is described. The results provide reference information for similar projects.

Research on early runway incursion warning based on Petri net

In this study, an early runway incursion warning method was developed based on a Petri net model in order to achieve zero missing and false runway incursion warnings. The runway incursion warning scenario is analyzed based on the output states of the aircraft/vehicles in the airport surface. The runway operation model based on a Petri net model was established by considering Guangzhou Baiyun International Airport as an example. In addition to the runway warning rules, the standard runway operation constraints are imposed on the Petri net model to provide early warnings in nine runway incursion scenarios. The zero missing and false early runway incursion warning method based on a Petri net model was tested based on scenario simulations and realized warning display on surveillance map.

Data-Driven Analysis of Final Separation Between Successive Landing Aircraft

In recent years, with the development of air traffic in China, airspace resources cannot keep up with the growth of traffic demand. Therefore, enhancement of runway capacity by reducing wake turbulence separation has become a research hotspot in the air traffic management field. As there are gaps between theory and practice, many scholars are doing practical operation-based evaluations, focusing on the final separations (intervals) between two successive aircraft. However, few studies have considered the impact of different controllers and the evolution of separations over time. This paper is dedicated to analyzing the final separations between leading and trailing aircraft based on the aircraft trajectories. This study carries out the final separation analysis from static and dynamic perspectives, considering the final separations under different traffic pressures, by different controllers, and in the different segregated and mixed operations. Guangzhou Baiyun International Airport (ZGGG) is taken as an experimental case. The results indicate that the final separation buffer decreases over time. Moreover, under the same high traffic pressures, the final separations could be used to compare the effectiveness of different controllers.

Evaluation of the Elements of Ageing-Friendly Service Level for the Smart Construction of Major Hub Airports in China

The smart construction of hub airports is generally mature, but there are differences in ageing-friendly services. Based on the DEMATEL-AHP method, this paper analyzes the influencing factors and differences in the development level of ageing-friendly services in four major hub airports in China (Beijing Daxing International Airport, Shanghai Pudong International Airport, Guangzhou Baiyun International Airport, and Shenzhen Baoan International Airport). The paper finds that: the indicators of the degree of full passenger service in the four major hub airports have the highest influence value as active elements within the ageing-friendly service level indicator system, while full escort service and special passenger or caring service counters are most likely to be influenced by other indicator elements; the degree of full passenger self-service, priority travel service access, and baggage check-in security system or manual check-in service are the core elements that influence the ageing-friendly level the core elements that influence the improvement of the ageing-friendly service level at hub airports determine the trend direction of the overall ageing-friendly service level; immigration processing services and hand luggage security check information management system service are mostly shown as the cause elements; the service scope covered by the ageing-friendly service content at hub airports has little difference, but the emphasis of the ageing-friendly service is different.

Data‐driven flight time prediction for arrival aircraft within the terminal area

Predicting the arrival aircraft's flight time plays a critical role in effectively optimizing and scheduling spatial-temporal resources in the terminal airspace. This paper focuses on a data-driven method for predicting the arrival flight time. First, based on the existing research, a feature set is constructed from four aspects: initial state, arrival pressure, sequencing pressure, and wind information, which are believed to affect arrival flight time significantly. Second, eight widely used models are developed to predict flight time, including linear regression models, nonlinear regression models, and tree-based ensemble models. Furthermore, the stacking technique is adopted to improve the prediction performance. Finally, take Guangzhou Baiyun International Airport as a study case to verify the proposed method's effectiveness. The results indicate that the arrival pressure (describing the arrival traffic demand) and the sequencing pressure (sketching the arrival traffic distribution) could effectively improve the prediction accuracy. The mean absolute percentage error of the predicted flight time via ATAGA and IGONO can be increased by 1%. Besides, the proposed method of extracting wind data could also improve the prediction performance. The mean absolute error of the predicted flight time via GYA can be reduced by 4.85 s.

Aircraft Trajectory Clustering in Terminal Airspace Based on Deep Autoencoder and Gaussian Mixture Model

The aircraft trajectory clustering analysis in the terminal airspace is conducive to determining the representative route structure of the arrival and departure trajectory and extracting their typical patterns, which is important for air traffic management such as airspace structure optimization, trajectory planning, and trajectory prediction. However, the current clustering methods perform poorly due to the large flight traffic, high density, and complex airspace structure in the terminal airspace. In recent years, the continuous development of Deep Learning has demonstrated its powerful ability to extract internal potential features of large dataset. Therefore, this paper mainly tries a deep trajectory clustering method based on deep autoencoder (DAE). To this end, this paper proposes a trajectory clustering method based on deep autoencoder (DAE) and Gaussian mixture model (GMM) to mine the prevailing traffic flow patterns in the terminal airspace. The DAE is trained to extract feature representations from historical high-dimensional trajectory data. Subsequently, the output of DAE is input into GMM for clustering. This paper takes the terminal airspace of Guangzhou Baiyun International Airport in China as a case to verify the proposed method. Through the direct visualization and dimensionality reduction visualization of the clustering results, it is found that the traffic flow patterns identified by the clustering method in this paper are intuitive and separable.

A novel Technology of Ground Joint Construction on Floor of Aircraft Hangar

A maintenance hangar of in Guangzhou Baiyun International Airport was selected as an engineering case to show a novel technology of ground joint construction presented in this paper. The construction of the ground joint was described in detail and some conclusions were therefore summarized to show the effectiveness of the technology. The total area of the test section is 33000 square meters, which made a great difficulty in construction process. In order to avoid cracking in concrete, the ground concrete was casted by block and a new implement name “armor seam” was used to control boundary between different concrete blocks. After the implementation of new technology and implement, the flatness and wear resistance of ground, the compactness and integrality of concrete all had great improvement.

Uncertainty and its driving factors of airport aircraft pollutant emissions assessment

To improve the accuracy of emission estimation for decision-making, the uncertainty analysis of aircraft pollutant emissions is a necessary fundamental work. This paper concentrates on the sources and degree of assessment uncertainty of aircraft pollutant emissions (i.e., HC, CO, and NOx) in the landing-and-take-off (LTO) cycle. The key uncertain parameters and their interactions are identified by Monte Carlo simulation and sensitivity analysis, respectively, using a case study involving Guangzhou Baiyun International Airport. Our analysis shows that: (1) emission estimation results using Quick Access Recorder (QAR) data are 47% lower than ICAO standard values and differ for the various operational phases; (2) the key factors driving uncertainty (i.e., emission index (EI), time-in-mode (TIM), take-off weight (TOW), and wind speed (WS)) are isolated; (3) interactions of TIM-EI, TOW-TIM, TOW-EI, TOW-Temperature, TOW-Pressure, and WS-TIM are identified as the essential combinations contributing to bias error of emission estimation. Finally, we also provide optimization suggestions for emission calculation modeling to improve assessment accuracy.

Evaluation of Airport Environmental Carrying Capacity: A Case Study in Guangzhou Baiyun International Airport, China

In order to clarify the comprehensive operational capabilities of the airport and better plan the sustainable development mode of the airport, this paper studies the evaluation method of airport environmental carrying capacity. First, this paper proposes the concept of airport environmental carrying capacity by taking into account the complex characteristics of airports affected by multiple factors and then selects 16 representative evaluation indicators to construct an indicator system based on the Driving Force-Pressure-State-Response (DPSR) framework. Finally, the accelerated genetic algorithm-projection pursuit model is established to model a comprehensive evaluation index, which is used to calculate the airport environmental carrying capacity (AECC). The results of the case study show that the AECC of Guangzhou Baiyun International Airport (CAN) decreased year by year from 2008 to 2017, which is in line with the coordinated development level of CAN. By analysing the changing mechanism of AECC and indicators, we get 6 key influencing indicators that led to the continuous decline of AECC and put forward some political suggestions to improve the AECC.

Subsection construction technology of rectangular concrete independent column with super high cross section

With the progress of engineering technology, the ability of design and construction has been significantly improved, which the number of long-span construction and long-span Bridges and long-span steel structures are increasing more and more. As the main supporting members of Bridges and steel structures, the quality assurance of rectangular reinforced concrete independent columns is particularly important. In the implementation process of No.18 Maintenance Hangar Project of GAMECO Aircraft Maintenance Facility Phase III in Guangzhou Baiyun International Airport of China Southern Airlines, through research and practice, our company applied the subsection construction technology of super high section rectangular concrete independent columns, which can not only guarantee the quality and forming effect of the column body, but also reduce the input of formwork materials. Improve the utilization rate of formwork and scaffold effectively, and then reduce the input of turnover materials, and achieve remarkable results.

The Impact of Reviewers' Creditworthiness on Consumers' Purchase Intention in Edge Path: Implications for the Coronavirus Disease 2019 Pandemic.

Reviewers' creditworthiness is an important edge clue in the elaboration likelihood model (ELM). This paper takes the online travel booked by consumers as an example and uses the questionnaire data of 417 outbound passengers from Guangzhou Baiyun International Airport. The paper examines the influence of reviewers' creditworthiness on consumer purchase intentions in the edge path through a mediated moderation model. Investigate the mediating role of conformity behavior can influence the reviewers' creditworthiness on purchase. Thus, it examines the moderating effect of consumer involvement. The results show that the degree of consumer involvement moderates the relationship between reviewers' creditworthiness, and the purchase intention is achieved through the mediation of conformity behavior. The higher the degree of consumer involvement, the less impact the reviewers' creditworthiness has on conformity behavior, and the weaker the positive effects of its purchase intention are found. Implications for the coronavirus disease 2019 (COVID-19) era are also discussed.

Evaluation of Airport Sustainability by the Synthetic Evaluation Method: A Case Study of Guangzhou Baiyun International Airport, China, from 2008 to 2017

Although the concept of sustainable development has made certain achievements in many fields, airport sustainability (AS) has not yet formed a unified and comprehensive theory and evaluation method. According to the connotation of sustainable development, this paper proposes the definition of airport sustainability by considering China’s national conditions and airport characteristics. Secondly, this paper identifies four AS dimensions of economy, environment, society, and operation and selects and screens evaluation indicators for each dimension. Thirdly, a synthetic evaluation index model of AS is constructed based on the benefit of the doubt (BoD) model, and the process of evaluation method is planned according to a synthetic evaluation method. Finally, Guangzhou Baiyun International Airport (CAN) is selected as a case study to evaluate the AS from 2008 to 2017, and the influencing factors of AS are discussed to predict AS in 2018. The evaluation and prediction results are consistent with the actual operational characteristics of CAN.

Small and Medium-Scale River Flood Controls in Highly Urbanized Areas: A Whole Region Perspective

While rapid urbanization promotes social and economic development, it poses a serious threat to the health of rivers, especially the small and medium-scale rivers. Flood control for small and medium-scale rivers in highly urbanized areas is particularly important. The purpose of this study is to explore the most effective flood control strategy for small and medium-scale rivers in highly urbanized areas. MIKE 11 and MIKE 21 were coupled with MIKE FLOOD model to simulate flooding with the flood control standard, after which the best flooding control scheme was determined from a whole region perspective (both the mainstream and tributary conditions were considered). The SheGong River basin located near the Guangzhou Baiyun international airport in Guangzhou city over south China was selected for the case study. The results showed that the flooding area in the basin of interest accounts for 42% of the total, with maximum inundation depth up to 0.93 m under the 20-year return period of the designed flood. The flood-prone areas are the midstream and downstream where urbanization is high; however the downstream of the adjacent TieShan River is still able to bear more flooding. Therefore, the probable cost-effective flood control scheme is to construct two new tributaries transferring floodwater in the mid- and downstream of the SheGong River into the downstream of the TieShan River. This infers that flood control for small and medium-scale rivers in highly urbanized areas should not simply consider tributary flood regimes but, rather, involve both tributary and mainstream flood characters from a whole region perspective.

The surveillance of four mosquito-borne diseases in international travelers arriving at Guangzhou Baiyun International Airport, China, 2016-2017.

Little comprehensive analysis combining epidemiological and clinical data has been done with mosquito-borne diseases imported into Guangzhou by air travelers. We screened international travelers (body temperature >36.5 °C) arriving at Guangzhou Baiyun International Airport, and recorded their epidemiological and clinical information. Whole-blood samples were collected for laboratory diagnosis of dengue virus (DENV), chikungunya virus (CHIKV), zika virus (ZIKV) infections and malaria. Between March 1, 2016 and December 31, 2017, 155 (6.6%) cases (100 of DENV, 21 of CHIKV, 1 of ZIKV, 34 of malaria, including one co-infection of DENV and CHIKV) were identified among 2350 febrile travelers. DENV (90.0%) and CHIKV (100.0%) cases mainly came from Southern and Southeast Asia. Malaria cases (91.2%) mainly came from sub-Saharan Africa. Traveling abroad (28/74, 37.8%) and living/working abroad (11/22, 50.0%) were the most common causes of DENV infection and malaria for Chinese, respectively. Cases with these four mosquito-borne diseases were more likely to have nervous, musculoskeletal and skin symptoms and signs than other febrile diseases (P < 0.001). It is important to strengthen the surveillance of mosquito-borne diseases among tourists and workers returning from Southeast Asia, Southern Asia and sub-Saharan Africa, especially those with nervous, musculoskeletal and skin symptoms and signs.

Relationships between experiential cultural distance, experiential relationship quality and experiential future intentions: the case of Mainland Chinese tourists

ABSTRACT This paper aims at exploring the structural relationships between the dimensions of experiential cultural distance (experiential individualism/collectivism, experiential uncertainty avoidance, experiential power distance, experiential masculinity/femininity), the dimensions of experiential relationship quality (experiential trust and experiential satisfaction) and future experiential intentions. A convenience sample of 683 Mainland Chinese tourists who had taken an international trip for leisure purposes in the past 12 months in Shanghai Pudong International Airport, Shanghai Hongqiao International Airport, Beijing Capital International Airport, Guangzhou Baiyun International Airport and Shenzhen Bao’an International Airport was surveyed. Results will assist destination management in developing and implementing market-orientated service strategies to decrease perceptions of experiential uncertainty avoidance, experiential power distance and experiential masculinity and increase perceptions of experiential individualism, experiential trust and experiential satisfaction in order to promote future experiential intentions.

Development of Virtual Load Rating Method for Taxiway Bridge under Aircraft Taxiing

This paper presents finite element model (FEM) based virtual load rating method for accurately and efficiently evaluating the bearing capacity of taxiway bridge in the field under aircraft taxiing. A dynamic load coefficient of aircraft loading was first developed considering deck pavement roughness and aircraft lift force. The in situ responses of taxiway bridges under 10 aircraft were collected using instrumentation system with acceleration sensor, strain sensor, and inclinometer. The modal frequency, strain influence lines, and deflections of taxiway bridge were obtained from FE analysis and in situ test. An optimization objective function in terms of fundamental frequency and strain influence lines was formulated to ensure convergence and effectiveness in the model updating process, wherein the bending stiffness, density and boundary conditions of the structures are selected as the design variables. The weighted-average method of model updating parameters was proposed considering the differences in the obtained parameters under different loading conditions. The analysis results of updated FE model were validated using static loading test conducted on taxiway bridge. Finally, the proposed virtual load rating method was applied to Taxiway Bridge V in Guangzhou Baiyun International Airport (CAN).

Evaluation Method for Green Ecological Airports in China Based on Combination Weighting

To scientifically and accurately evaluate the status of the development of green airports in China, evaluation methods of green, ecological airports are established in this paper. To address the shortcomings in subjective and objective weighting methods, we propose a combination weighting method based on Spearman’s rank correlation coefficient and evaluation grades based on interval approximation. At the same time, by taking into account resource conservation, environmental friendliness, operation efficiency, and people-oriented service, we propose an evaluation index system and an interval number for each index. Lastly, the theory is applied to five large airports in different regions of China. Analysis of the evaluation results shows that Shanghai Pudong International Airport (PVG) and Guangzhou Baiyun International Airport (CAN) have the highest scores for the resource conservation and environmental friendliness indexes, thus indicating that the development of a green ecological airport is closely related to its passenger transportation scale and economic strength. All considered airports showed the need for upgrading public service facilities and constructing intelligent equipment. The method proposed in this paper is reasonable and reliable; therefore, it can provide guidance for the evaluation and construction of green, ecological airports.