scholarly journals Estimation of Usable Waiting Areas considering Passenger Behavior on Urban Railway Platforms

2021 ◽  
Vol 39 (6) ◽  
pp. 721-736
Author(s):  
Sangjun LEE ◽  
Seongil SHIN ◽  
Sunghee LEE ◽  
Seongjin YUN
Keyword(s):  
Passenger Behavior

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

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.

Modeling Passenger Behavior in Nonpayment Areas at Rail Transit Stations

2015 ◽  
Vol 2534 (1) ◽  
pp. 101-108 ◽  
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.

Departure Time Choice in Schedule-Based Transit Assignment

2021 ◽  
pp. 036119812110338
Author(s):  
Markus Friedrich ◽  
Matthias Schmaus ◽  
Jonas Sauer ◽  
Tobias Zündorf
Keyword(s):  
Travel Demand ◽  
Time Intervals ◽  
Transit Assignment ◽  
Common Assumption ◽  
Adaptation Time ◽  
Highly Sensitive ◽  
Departure Time ◽  
Departure Time Choice ◽  
Passenger Behavior ◽  
The Impact

This paper investigates existing departure time models for a schedule-based transit assignment and their parametrization. It analyzes the impact of the temporal resolution of travel demand and suggests functions for evaluating the adaptation time as part of the utility of a path. The adaptation time quantifies the time between the preferred and the scheduled departure times. The findings of the analysis suggested that travel demand should be discretized into intervals of 1 min, with interval borders right between the full minute, that is, ±0.5 min. It was shown that longer time intervals led to arbitrary run volumes, even for origin–destination pairs with just one transit line and a fixed headway. Although a linear relationship between adaptation time and adaptation disutility is a common assumption in several publications, it cannot represent certain types of passenger behavior. For some trip purposes, passengers may be insensitive to small adaptation times, but highly sensitive to large adaptations. This requires a nonlinear evaluation function.

Afraid of Flying

1985 ◽  
Vol 1 (2) ◽  
pp. 187-187
Author(s):  
Stephan Metreveli
Keyword(s):  
Safety Training ◽  
Disaster Prevention ◽  
Greek Mythology ◽  
Potential Conflict ◽  
Fear Of Flying ◽  
Behavioral Safety ◽  
Inadequate Knowledge ◽  
Passenger Behavior ◽  
Accident Statistics

The terrors of flying are as old as the dreams of it. The first flight of man, reported in Greek mythology, ended with the crashing down of Icarus. Today, planes have become indispensable. Air transport companies boast the fact that travel by air is the safest, despite the fact that fear is ever present. There is little knowledge about fears and passenger behavior. Accident statistics turn terrifying events into “cases”. Tribute is paid to “technical progress” and to “more quality of life.” Measures must be taken to reduce the reasons for apprehension to achieve some kind of rationally based safety to relate to behavior. One should, however, not aim to abolish fear to an irrational and unrealistic degree. Such induced behavior cannot be firm in a real crisis. Fears are founded upon social and personal reasons: (1) Predominantly sociological aspects: the fact of airplane disasters; obscurity of the causes and effects of such disasters; inadequate knowledge of technical facts; doubts about disaster prevention; and “technology trauma.” (2) Predominantly socio-psychological aspects: alien surroundings; isolation; don't know what to do; inescapability; and “Mogadishou-effect.” Anthropological and socio-cultural factors also have an impact.Fear of flying of pilot and crew: Their reasons for fear are related to the exact knowledge of dangers and risks, which are involved in economic and job efficiency oriented requirements and obligations. We recommend: improving information and explanation of risks and the related behavioral safety; improving technical means and management of disaster prevention along with appropriate mediation; courses to decrease fears of flying, including safety training; and decreasing potential conflict with airline personnel.

Cabin crew training to control disruptive airline passenger behavior: A cause for tourism concern?

2008 ◽  
Vol 29 (3) ◽  
pp. 538-547 ◽  
Author(s):  
Steven Rhoden ◽  
Rita Ralston ◽  
Elizabeth M. Ineson
Keyword(s):  
Cabin Crew ◽  
Airline Passenger ◽  
Passenger Behavior

Optimization Scheduling of Elevators Based on Passenger Behavior

ICTE 2013 ◽  
2013 ◽  
Author(s):  
Hongyan Liang ◽  
Qin Yang ◽  
Minli Xu ◽  
Lingling Yuan
Keyword(s):  
Passenger Behavior ◽  
Optimization Scheduling

Influencing Longitudinal Passenger Distribution on Railway Platforms to Shorten and Regularize Train Dwell Times

2017 ◽  
Vol 2648 (1) ◽  
pp. 117-125 ◽  
Author(s):  
Zoi Christoforou ◽  
Pierre-Adrien Collet ◽  
Bachar Kabalan ◽  
Fabien Leurent ◽  
Axelle de Feraudy ◽  
...  
Keyword(s):  
Uniform Distribution ◽  
Dwell Time ◽  
Longitudinal Distribution ◽  
Traffic Operations ◽  
Specific Behavior ◽  
Traffic Performance ◽  
Pedestrian Traffic ◽  
Passenger Behavior ◽  
Rail Station

The longitudinal distribution of passengers waiting on a train platform influences the boarding and alighting time. A smoother, more uniform distribution could benefit both traffic operations and passenger experiences. This paper investigates pedestrian traffic performance and the train operations that it influences in an integrated way by proposing ( a) two in situ solutions to inform passengers and influence their waiting position on the platform, ( b) a specific survey of passenger behavior under these conditions, ( c) a modeling scheme based on a pedestrian microsimulation, and ( d) an example of application to a suburban rail station in eastern Paris, the Noisy–Champs Station on the Réseau Express Régional (RER) A Line. The example reveals a traffic phenomenon of corridor–car interplay that implicates the specific behavior of late passengers and the contribution of this phenomenon to train dwell time.

scholarly journals IMPACT OF SERVICE QUALITY, SATISFACTION AND PASSENGERS BEHAVIOUR OF FULL-SERVICE AIRLINES OPERATING IN THAILAND

2019 ◽  
pp. 65-78 ◽  
Author(s):  
Oraphan Decha
Keyword(s):  
Service Quality ◽  
Airline Industry ◽  
Word Of Mouth ◽  
Customer Perception ◽  
Passenger Satisfaction ◽  
Top Managers ◽  
Passenger Behavior ◽  
Positive Word Of Mouth ◽  
The Relationship ◽  
Customer Satisfaction And Loyalty

  Airline companies today are faced with various challenges such as cutting price, managing fluctuating demand, and meeting quality requirements. In addition to these issues, intense competition in the global airline industry has intensified the importance of customer perception of service quality. Numerous studies demonstrate the dependence of airline’s market share, revenues, positive word of mouth, and customer retention on consumer perception of service quality, and in turn, on customer satisfaction and loyalty. This paper explains the relationship between service quality, satisfaction and passenger behavior for full-services airlines operating in Thailand. The survey questionnaire was designed and administered to 110 respondents who all were passengers of these airlines. Our four hypotheses concerned such variables as service quality and passenger satisfaction, satisfaction and word of mouth, satisfaction and repurchase intention, and satisfaction and feedback. SERVPERF was used as the key instrument in our analysis. Top managers of full-service airlines often tend to disregard high priority of quality components. Thus, they should be more aware of the importance of service quality and passenger’s satisfaction in determining the behavioral intentions of passengers.

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