Different Groups Of Passengers Research Articles

КОМПЛЕКСНАЯ МЕТОДИКА ВЫБОРА ПОДВИЖНОГО СОСТАВА ГОРОДСКОГО ПАССАЖИРСКОГО ТРАНСПОРТА

The paper discusses issues related to the development of a new methodology for determining the rational fleet of vehicles on the route to serve the city's population. The methodology is based on a questionnaire of passengers aimed at identifying preferences in choosing different classes of vehicles for carrying out transport movements in the city. Based on the identified patterns, a comprehensive methodology is proposed that allows the simultaneous use of different classes of rolling stock to meet the needs of different groups of passengers.

Perceived service quality based on passenger and trip characteristics: A structural equation modeling approach

In order to improve public transit as a customer-oriented service, it is essential to evaluate service quality from the customers' perspective. Various groups of passengers perceive service quality differently based on their demographic and trip characteristics. In addition to a naïve market segmentation which is based on pre-defined groups, this study proposes a cluster analysis to identify groups with combined characteristics. This paper utilizes a customer satisfaction survey (CSS) to better understand the impact of several attributes on satisfaction perceived by different groups of passengers. 1028 valid survey responses are utilized from a case study that is a mass transit rail in Tehran, a less focused context in the literature. Structural Equation Modeling (SEM) is used to identify the most effective attributes in each group. The results indicate that different groups do perceive certain aspects of the service quality differently which underscores the necessity of undertaking a market segmentation analysis by clustering. Despite differences among groups/clusters, passengers will be more satisfied with a secure and convenient transit system. The findings from this study can be used to develop strategies for specific customer groups and evaluate factors that influence customer satisfaction of such groups.

The impact of emergent public health events on passengers' public transport dependence

IntroductionThe optimization of public transport (PT) systems to ameliorate urban traffic problems and living environment requires a deep understanding of PT usage behaviour. However, there is a lack of scientific measurement of the influence on passengers’ PT dependence (PTD) during emergent public health events. MethodsAn extended theory of planned behaviour and an online survey scheme are proposed to investigate the influence of psychological and objective factors on passengers’ PTD under an emergent public health event in Beijing, China. Then, four structural equation models are estimated to analyse the PTD influence mechanism of different groups of passengers. ResultsThe objective condition factors exert indirect effects on passengers' PTD via the psychological factors. Individual attributes have small influences on passengers' PTD, while the environment has a significant positive effect. Subjective norms have the highest influencing effect on passengers’ PTD, and passengers with a relatively high PTD level have the risk of shifting to other transportation modes under the emergent public health events. ConclusionsThe influence mechanism of emergency public health events on the PT dependence of different passengers is heterogeneous. The targeted policies should be implemented for different passengers to improve the PT market share and residents' health under emergent public health events.

Service quality of the urban public transport companies and sustainable city logistics

Abstract The issue of sustainable city logistics has steadily been developed over the last decades. Urban public transport companies can make a significant contribution to the concept of sustainable city logistics. The customers’ perception and satisfaction regarding urban public transport companies can be associated with the increased use of their services. The preference for urban public transport reduces the use of individual car transport, which is linked to the environmental pillar of sustainability. For the customers, the level of the provided service is very important. The article is focused on the evaluation of the outcomes from the primary research concerning the service quality performed by the urban public transport companies in the Hradec-Pardubice residential agglomeration. The goal lies in identifying gaps in service quality. The method used in this article is representative primary research. The primary research was carried out in the form of structured personal interviews with a representative sample of respondents. Selected statistical methods were used to evaluate the data. The results are discussed in the context of published research studies. Research in this article found that respondents are more satisfied with the quality of services performed by the urban public transport companies, but the perception of individual service quality factors varies from one user group to another. The research also confirms a different perceptions regarding customer care and comfort by different age groups of respondents. The article implies that public transport companies should pay attention to setting fare prices for different groups of passengers.

Passenger Intentions towards Halal Food in Low Cost Carriers: Key Influencing Factors

NOTE: THIS ARTICLE WAS PUBLISHED WITH THE INFORMING SCIENCE INSTITUTE. Aim/Purpose....................................................................................................................................................................................................... Low cost airline passengers are sensitive towards value for money. They also have their own preferences and perceptions on what encompasses value. This paper discusses passenger intentions to purchase halal food with a specific reference to Malaysia, which has a majority Muslim population (57%). The purpose of this study is to determine the most influential factors that explain passenger intentions to purchase halal meals when flying with low cost air-lines. Background......................................................................................................................................................................................................... In-flight meals are one of the services being offered by low cost airlines albeit at an additional price. Passengers travelling on LCC flights are required to pay for their meals. The relative importance of food choice and its availability in forming passenger satisfaction with low cost carriers is studied and examined. Although low cost carriers have proven to be a major competitor to full service airlines in Malaysia, halal food availability remains one of the major concerns for passengers flying with low cost airlines. Methodology....................................................................................................................................................................................................... A random sample approach was used to select passengers one major air- port located in Kelantan. The passengers were interviewed face-to-face using a structured questionnaire. Factor analysis was applied to explain the factors influencing passenger intentions to purchase halal food during a low cost flight. Contribution........................................................................................................................................................................................................ This paper highlights the factors which explain passenger intentions towards purchasing halal food while flying with low cost airlines. In Malaysia, halal food has been gaining popularity not only from a religious perspective but also due to other positive perceptions increasingly being held by the public that halal food is a more wholesome, hygienic and quality food choice. Therefore different groups of passengers, of various religious backgrounds are increasingly seeking halal food. Policy makers and airline managers based in the South Asia region traditionally did not place a high priority on halal food, however as halal food is becoming more popular, there is increased awareness on the importance of providing halal food to clientele. There are more efforts to study how providing a halal food service can positively impact passenger satisfaction as well as play a role in determining the behavioral intentions and motivation behind passengers choosing to fly with low cost carriers (LCC). Findings .............................................................................................................................................................................................................. The findings indicate that attitude, perceived behavioral control and subjective norms have an impact towards passenger intention to purchase halal food on LCC flights. The results of factor analysis indicate that attitude is the major factor towards influencing passenger purchase intentions. Recommendations for Practitioners................................................................................................................................................................. The findings offer meaningful implications for marketing researchers and practitioners in the low cost airline industry. It can help airline companies further understand the needs and wants of existing and potential customers. Local and international airlines need to fulfill the needs of their clientele by serving more halal options on flights. Recommendation for Researchers.................................................................................................................................................................... Progress has been made in the availability of in-flight religious ethnic foods but many important research questions and technical support needs remain. Impact on Society............................................................................................................................................................................................... The research will assist to highlight purchase intention towards halal food and the importance of religious ethnic foods (e.g. halal food in this case) to meet the passenger requirements. Future Research................................................................................................................................................................................................ Future studies can be conducted to explore local and international insights towards halal in-flight food within a broader geographical areas and locations.

Fare Strategy for Flex-Route Transit Services: Case Study in Los Angeles

Flex-route transit service is now the most popular type of flexible transits to serve low-demand areas. In this paper, we develop a strategy to help transit planners to determine fare policies when the current traditional fixed-route transits turn to a flex-route operating policy. Analytical modeling and simulations are developed to appraise the service quality provided to different groups of passengers under these two operating policies. To be closer to reality, two criterions, defined as Criterion (NRP) and Criterion (RP), are introduced for further analysis based on the processing of the passengers refused by deviation service. Criterion (NRP) represents the scenario that the refused passengers would switch to other means of transportation and not be considered in the calculation of service quality function, and Criterion (RP) means that the refused passengers would walk to nearest checkpoints for expected service vehicle and be considered in the assessment of cost indicators. In various scenarios, where demand responsive requests pay additional money for personal deviation services and regular riders could expect a discounted fare for the imposed delay, optimal fare policies are derived based on the change of service quality after applying flex-route operating policy. Also, it is found that only fares of regular riders are susceptible to the choice between Criterion (NRP) and Criterion (RP).

Airplane boarding meets express line queues

Airlines have been implementing several policies which partition passengers into groups of fast and slow passengers and placing them in different queue/row combinations. For example, the policy which provides boarding precedence to passengers needing assistance and families traveling with small children, or a policy which provides precedence to passengers with no overhead bin luggage. The idea of separating customers into groups with different service times also appears in the very different setting of express line queues, for example, in the supermarket or in server farms. Such queues have been extensively explored in the last 20 years in the queueing theoretic literature.We show that the two systems, airplane boarding with slow and fast passenger groups and express line queues are intimately related in the asymptotic regime where the ratio between the slowest and fastest customer becomes large. We produce good algorithms for placing different groups of passengers in the airplane boarding setting with competitive guarantees compared to optimal placements. We then show how we can analyze the airplane boarding setting using results from the express line setting. This relation provides a novel bridge between the theory of project management and the critical path method to which airplane boarding belongs and queueing theory to which express line queues belong.The analysis uses very basic notions and arguments from geometry, but in the setting of space-time (Lorentzian) geometry, a geometry which was invented to study relativity theory.

Large-scale transit market segmentation with spatial-behavioural features

Transit market segmentation enables transit providers to comprehend the commonalities and heterogeneities among different groups of passengers, so that they can cater for individual transit riders’ mobility needs. The problem has recently been attracting a great interest with the proliferation of automated data collection systems such as Smart Card Automated Fare Collection (AFC), which allow researchers to observe individual travel behaviours over a long time period. However, there is a need for an integrated market segmentation method that incorporating both spatial and behavioural features of individual transit passengers. This algorithm also needs to be efficient for large-scale implementation. This paper proposes a new algorithm named Spatial Affinity Propagation (SAP) based on the classical Affinity Propagation algorithm (AP) to enable large-scale spatial transit market segmentation with spatial-behavioural features. SAP segments transit passengers using spatial geodetic coordinates, where passengers from the same segment are located within immediate walking distance; and using behavioural features mined from AFC data. The comparison with AP and popular algorithms in literature shows that SAP provides nearly as good clustering performance as AP while being 52% more efficient in computation time. This efficient framework would enable transit operators to leverage the availability of AFC data to understand the commonalities and heterogeneities among different groups of passengers.

Destination image, satisfaction and destination loyalty in cruise tourism: the case of Málaga (Spain)

Over the past decades cruise tourism is a sector that has experienced a tremendous growth around the globe. The relations that are establish between the different agents that interact in this industry, passengers, crew and residents are crucial for visitor satisfaction and the success of the tourist destination. The study has analyzed the different types of cruise passengers who landed at the port of Malaga and their perception of the capital through the destination image, satisfaction and destination loyalty in Malaga. A cluster analysis showed the existence of four different groups of passengers whose opinions can give a specific answer to the consolidation of Malaga as a quality tourist destination. From a practical point of view, recommendations about the adequate management of the destination attributes for the cruise industry are discussed in the conclusions.

Teaching Statistics with Current and Historical Events

Statistical examples can feel remote to students, especially if the variables under consideration are ambiguous. However, life or death is not ambiguous but very concrete. Three different historical shipwrecks offer an abundance of ways to demonstrate the relevance and importance of statistics. Here, we discuss statistical outcomes associated with the loss of three ships: the HMT Birkenhead in 1852, the RMS Titanic in 1912, and the Korean ferry MV Sewol in April 2014. These disasters can serve as examples for demonstrating the relevance of statistics to current events. Statistics in these historical events can help students see that the survival rates of different groups of passengers were very different, with medium to large effect sizes. Even if statistical analyses cannot answer all of the questions about why some passengers had higher survival rates than others, they can lead to further productive qualitative or quantitative research into such questions.

Transit service quality analysis using cluster analysis and decision trees: a step forward to personalized marketing in public transportation

A transit service quality study based on cluster analysis was performed to extract detailed customer profiles sharing similar appraisals concerning the service. This approach made it possible to detect specific requirements and needs regarding the quality of service and to personalize the marketing strategy. Data from various customer satisfaction surveys conducted by the Transport Consortium of Granada (Spain) were analyzed to distinguish these groups; a decision tree methodology was used to identify the most important service quality attributes influencing passengers’ overall evaluations. Cluster analysis identified four groups of passengers. Comparisons using decision trees among the overall sample of all users and the different groups of passengers identified by cluster analysis led to the discovery of differences in the key attributes encompassed by perceived quality.

Service Reliability in a Network Context

This paper presents research on synchronization of transfers and its impact on service reliability from a passenger perspective. Passenger reliability was analyzed for the case of a multioperator transfer node. A method was developed to calculate the passenger-centered reliability indicators, additional travel time, and reliability buffer time, by using scheduled and actual vehicle arrival and departure times as inputs. Five major factors were identified as affecting reliability at a particular transfer: scheduled transfer time, distributions of actual arrivals of the first and second line, headways, transfer walking time, and transfer demand. The method was demonstrated in a real network case, in which changing a specific transfer had effects on other transfers from the transfer point. This method can be applied in a cost-benefit analysis to identify the benefits and costs of reliability for different groups of passengers, thereby supporting proper decision making.