Analyzing passenger behavior in airport terminals based on activity preferences

Abstract With the development of economy, more and more people travel by plane. Many airports have added satellite halls to relieve the pressure of insufficient boarding gates in airport terminals. However, the addition of satellite halls will have a certain impact on connecting flights of transit passengers and increase the difficulty of reasonable allocation of flight and gate in airports. Based on the requirements and data of question F of the 2018 postgraduate mathematical contest in modeling, this paper studies the flight-gate allocation of additional satellite halls at airports. Firstly, match the seven types of flights with the ten types of gates. Secondly, considering the number of gates used and the least number of flights not allocated to the gate, and adding the two factors of the overall tension of passengers and the minimum number of passengers who failed to transfer, the multi-objective 0–1 programming model was established. Determine the weight vector $w=(0.112,0.097,0.496,0.395)$ w = ( 0.112 , 0.097 , 0.496 , 0.395 ) of objective function by entropy value method based on personal preference, then the multi-objective 0–1 programming model is transformed into single-objective 0–1 programming model. Finally, a graph coloring algorithm based on parameter adjustment is used to solve the transformed model. The concept of time slice was used to determine the set of time conflicts of flight slots, and the vertex sequences were colored by applying the principle of “first come first serve”. Applying the model and algorithm proposed in this paper, it can be obtained that the average value of the overall tension degree of passengers minimized in question F is 35.179%, the number of flights successfully allocated to the gate maximized is 262, and the number of gates used is minimized to be 60. The corresponding flight-gate difficulty allocation weight is $\alpha =0.32$ α = 0.32 and $\beta =0.40$ β = 0.40 , and the proportion of flights successfully assigned to the gate is 86.469%. The number of passengers who failed to transfer was 642, with a failure rate of 23.337%.

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Are children's psychological self-concepts predictive of their self reported activity preferences and leisure participation?

Australian Occupational Therapy Journal ◽

10.1111/1440-1630.12101 ◽

2013 ◽

Vol 61 (3) ◽

pp. 177-186 ◽

Cited By ~ 2

Author(s):

Hana Goltz ◽

Ted Brown

Keyword(s):

Leisure Participation ◽

Activity Preferences

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What Causes Changes in Passenger Behavior in South-East Europe during the COVID-19 Pandemic?

Sustainability ◽

10.3390/su13158398 ◽

2021 ◽

Vol 13 (15) ◽

pp. 8398

Author(s):

Sreten Simović ◽

Tijana Ivanišević ◽

Bojana Bradić ◽

Svetlana Čičević ◽

Aleksandar Trifunović

Keyword(s):

Transport System ◽

Traffic Management ◽

Health Conditions ◽

Passenger Transport ◽

East Europe ◽

South East Europe ◽

Education And Health ◽

The Republic ◽

Passenger Behavior ◽

Insight Into

The appearance of the COVID-19 virus in Europe, at the beginning of 2020, brought many challenges and changes to society. These changes affected the behavior, desires, and needs of passengers in vehicles. The change in passenger behavior has contributed to the more difficult organization of passenger transport and traffic management. For these reasons, in the countries of South-East Europe (Serbia, Montenegro, Slovenia, Bosnia and Herzegovina, Greece, the Republic of Northern Macedonia and Croatia), this survey was conducted in order to examine which demographic characteristics of respondents (age, gender, residence, education, and health) influence choice of transport, with the aim to optimize the transport system in times of crisis in this region. 786 respondents participated in the research. The results showed that the acceptability of vehicle occupancy most often differs with respect to age, education, and health conditions of the respondents. The obtained results will greatly help the organizers of public transport and the transport system in the region, since based on these results they can have an insight into the demographic factors that influence the choice of transport mode during a crisis.

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Tourism and Physical Activity Preferences: Development and Sustainability Strategy

Sustainability ◽

10.3390/su12218824 ◽

2020 ◽

Vol 12 (21) ◽

pp. 8824

Author(s):

Karel Fromel ◽

Michal Kudlacek ◽

Dorota Groffik

Keyword(s):

Physical Activity ◽

Interdisciplinary Approach ◽

Physical Activity Promotion ◽

Current Status ◽

Evidence Based ◽

Physical Conditioning ◽

Important Indicator ◽

Activity Promotion ◽

Status And Trends ◽

Activity Preferences

The theoretical foundation of tourism policy is based on an interdisciplinary approach, using evidence-based findings from related scientific fields. For this reason, trends in the health and physical activity of the population should be considered as part of the promotion of healthy lifestyles in the field of tourism. The aim of this study is to support the multidisciplinary development of evidence-based tourism by using the results of long-term monitoring of physical activity (PA) preferences among youth. Furthermore, this study aims to support the continuation of education regarding tourism, behavioral changes in lifestyle, health promotion (including physical activity promotion), physical conditioning, as well as related mental conditioning. An interdisciplinary approach should lead to the adoption of knowledge, habits, and interests that lead to a lifelong readiness to participate in active tourism. The research sample of this 10-year survey consisted of 17,032 Czech and Polish respondents, aged from 12 to 25 years. A questionnaire on physical activity preferences was employed to explore the current status and trends in physical activity preferences and realization. The results show the actual status and trends in preferred and realized types of physical activity and represent an important indicator of tourism service choices for these youths, as well as predict future interests for tourism clients in schools. The analysis of the results enabled the suggestion of a prognostic model of tourism strategy focused on the integration of physical activity with tourism activities.

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The Influence of Social Class on Activity Preferences of Comunidades Eclesiais de Base (CEBs) in the Archdiocese of São Paulo

Journal of Latin American Studies ◽

10.1017/s0022216x0001717x ◽

1987 ◽

Vol 19 (1) ◽

pp. 141-156 ◽

Cited By ~ 5

Author(s):

W. E. Hewitt

Keyword(s):

Social Class ◽

Lower Class ◽

Roman Catholic ◽

Sao Paulo ◽

The Self ◽

São Paulo ◽

Christian Communities ◽

The Poor ◽

Activity Preferences

A number of interpretations have recently emerged which attempt to explain the nature and sociopolitical implications of Roman Catholic base Christian communities (CEBs) in Brazil. Most studies have tended to describe these small, informal lay groups as a predominantly lower-class phenomenon which is facilitating the self-liberation of the poor from the weight of centuries-old political and economic oppression.

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Modeling Passenger Behavior in Nonpayment Areas at Rail Transit Stations

Transportation Research Record Journal of the Transportation Research Board ◽

10.3141/2534-13 ◽

2015 ◽

Vol 2534 (1) ◽

pp. 101-108 ◽

Cited By ~ 7

Author(s):

Mingjun Liao ◽

Gang Liu

Keyword(s):

Choice Model ◽

Transition Probability ◽

Simulation Models ◽

Critical Issue ◽

Microscopic Simulation ◽

Movement Model ◽

New Ideas ◽

Path Navigation ◽

Pass Through ◽

Passenger Behavior

The nonpayment area at urban transit stations in China usually becomes extremely crowded during peak hours because many passengers queue to buy tickets and pass through the fare gates. How to evaluate the performance of these activities is a critical issue for the design and management of the nonpayment area. This study used microscopic simulation models to investigate passenger behavior in the nonpayment area. The study developed a queue choice model, a passenger movement model, and a path navigation model. Some new ideas were involved. First, the study introduced the concepts of dynamic queue length and dynamic distance between the current passenger and alternative queues into the queue choice model. Second, a new factor, called direction of goal, was proposed to navigate a passenger through the dynamic end of a queue or other goals. This factor was used to construct the transition probability function of a cellular automata model. Finally, the proposed models were calibrated and verified on the basis of a field survey and sensitivity analysis. The results show that the proposed models can capture passenger behaviors in the nonpayment area and perform well for queue estimation.

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