Passenger Travel Experience Research Articles

IPA Analysis and optimization of pedestrian environment at railway stations in Guangdong-Hong Kong and Macao: An example of six typical stations

Due to the increasing urbanization and growing regional integration, the Guangdong-Hong Kong-Macao Greater Bay Area is progressively transforming into a globally recognized metropolitan cluster. Rail transit is an effective and eco-friendly kind of public transport that plays a crucial role in fostering regional economic connections and facilitating people's movement. It has become the primary option for inhabitants when it comes to travelling. This study examines the influence of the walking environment's quality on passenger travel experience (the overall satisfaction and comfort felt by passengers when walking in a rail station area), station attractiveness (the degree of attractiveness of a rail station to passengers, which is usually determined by a combination of a number of factors, such as accessibility, safety, and interest of the station area) , and the overall livability of the city (the overall quality of life that a rail station area provides to Residents, including the quality of the environment, infrastructure, public services) . It does so by analyzing the walking environments of six representative rail transit stations in the Guangdong-Hong Kong-Macao Greater Bay Area, using the Walking Demand Hierarchy Theory as a basis. The study employed the IPA model to evaluate 20 crucial characteristics of the pedestrian environment. The findings revealed variations in the performance of different stations with regard to accessibility, safety, identification, functionality, and enjoyment. The differences provide a reference point for further optimizing the pedestrian environment in the Greater Bay Area rail station areas.

FLYWISE AIRWAYS WEBSITE

Abstract— The FLYWISE Airways website is a user-centric platform designed to streamline the booking process and enhance the overall travel experience for passengers. With its intuitive interface and robust functionality, the website allows users to easily search for flights, compare fares, and make secure online bookings. In addition to booking flights, the website also provides valuable information about FLYWISE Airways’ services, fleet, and destinations. The website’s responsive design ensures a seamless experience across all devices, making it easy for passengers to access the information they need, whenever they need it. With its focus on user convenience and accessibility, the FLYWISE Airways website is poised to become the go-to platform for travelers seeking a hassle-free booking experience. The FLYWISE Airways website is designed with mobile responsiveness in mind, ensuring that passengers can access the website from any device, including smartphones and tablets. This ensures that passengers can easily book flights and access important information while on the go. Keywords – Flight booking, air travel, online reservations, flight search, compare fares, secure booking, flight information, manage bookings, seat selection, extra baggage, in-flight meals, frequent flyer program, mobile responsiveness, user-friendly interface.

Subway network optimization and passenger travel experience

This conference paper examines the significance of subway network optimization in relation to passenger travel experience. It begins with an introduction that highlights the importance of subway networks in urban transportation and establishes the objectives of network optimization. A comprehensive literature review explores previous research on subway network optimization and passenger travel experience, identifying strengths, limitations, and research gaps. The paper then explores various methods of subway network optimization, including network structure optimization, train scheduling optimization, and station layout optimization, providing explanations of their principles and application scenarios. The impact of these methods on passenger travel experience is discussed, considering evaluation metrics such as crowding level, punctuality, transfer efficiency, and comfort. A case study of the China Metro system is then presented to illustrate the implementation process of network optimization and an analysis of its impact on passenger travel experience using evaluation metrics. The findings emphasize the importance of subway network optimization and its potential to enhance passenger satisfaction, connectivity, and sustainable urban development. The conclusion connects with the paper thesis and main findings that underscore the significance of subway network optimization, proposing future research directions and exploring the relationship between optimization efforts and passenger travel experience. Therefore, the paper will help understand why subway network optimization and gives insights for enhancing passenger travel experience in urban subway systems.

International Experience of Civil Aviation Service Quality Evaluation

Civil aviation service quality evaluation research plays a crucial role in improving the travel experience of passengers and increasing the market competitiveness of civil aviation transport enterprises. There have been relatively abundant relevant theoretical research results, but combined with the practical application, there are still areas that need further exploration and improvement. Based on the development of the connotation of service quality evaluation, this paper reviews the research on civil aviation service quality evaluation in terms of the development history, index system, index weights, methods and models of service quality evaluation, and finds that there are obvious differences in service quality evaluation research in terms of methods and other aspects. According to the results, the international experience of civil aviation service quality evaluation can provide a reference for the construction of China's civil aviation service quality evaluation system.

An Airport Stand Assignment Problem considering the Passenger Boarding Distance

The continued growth in the civil aviation industry leads to more traffic in the airport, resulting in a decline in operational efficiency and the travel experience of passengers. Studying how to improve operational efficiency and keep passenger satisfaction simultaneously is very significant. This study proposes to use total passenger boarding distance instead of total passenger walking distance to quantify passenger satisfaction and then model the airport stand assignment problem considering these two different objectives together with the gated percentage, respectively, and the NSGA-II algorithm is improved for a better solution speed. This study also performs a case study by applying a dataset of an airport in China. The results of the case study prove that using the total passenger boarding distance can help the airport better balance operational efficiency and passenger satisfaction, which can help provide theoretical support for airport management.

Towards load balancing in IoV system: A vehicle-assisted batch verification scheme

The Internet of Vehicles (IoV) can improve the efficiency of transportation systems while enhancing the passenger travel experience. However, due to the open wireless communication environment of the IoV, the transmission of data faces the threats of eavesdropping, forging and tampering. Fortunately, the concept of Vehicle-assisted Message Verification Schemes (VMS) are proposed which not only ensures the integrity and authenticity of message but also alleviates the burden of original verification nodes such as Roadside Units (RSUs). Nevertheless, since the individual rationality of vehicles, not all vehicles are willing to participate the message verification tasks. Besides, there may be an overlap in sensory ranges of vehicles that results in redundant verification data. Such two challenges greatly hinder the development of the VMS. Therefore, we present LBABV, a vehicle-assisted batch verification scheme towards load balancing in the IoV system. Firstly, we propose a novel batch verification scheme to enhance the efficiency of messages verification. Then, based on the proposed batch verification scheme, an assisted nodes selection algorithm with incentive mechanism is designed to select a suitable set of vehicles for parallel verification. In this way, the problems of redundant verification as well as individual rationality are elegantly addressed. Theoretical analysis demonstrates the security of our proposal. In the meanwhile, the simulation results show that the system total delay of our LBABV is reduced by 75% compared to batch verification and 81% compared to individual verification, respectively.

Passenger Alert Application

Abstract: This paper describes the creation of an intelligent real-time interactive public transport application. The application focuses on enhancing the user experience and improving communication among passengers. The main features of the application include a chat module that enables users to have conversations, facilitating the exchange of information and providing a platform for passengers to inform others about any issues or disruptions in the public transportation system. Additionally, the application incorporates an alarm module designed to alert or awaken passengers from their sleep or quick naps when the bus enters a buffer zone, indicating that their destination is approaching.By leveraging real-time data and intelligent algorithms, the application enhances the overall quality of public transportation services. The chat module promotes community engagement and empowers passengers to actively contribute to the improvement of the system's reliability and efficiency. Furthermore, the alarm module serves as a valuable tool for passengers, ensuring they are informed and prepared as their destination approaches, thus minimizing the risk of missing their stop.The development of this intelligent application addresses the growing need for efficient and user-centric public transportation solutions. It harnesses the power of real-time data and interactive communication to create a seamless and reliable travel experience for passengers. The findings and insights from this project contribute to the advancement of intelligent transportation systems, offering practical solutions to the challenges faced by public transportation networks worldwide.

Optimization of Synchronized Scheduling for Dual-Source Trolleybus Network

With the development of new energy technologies, dual-source trolleybuses are widely used in public transportation systems. A synergistic schedule can further improve the service quality of vehicles and optimize the passenger travel experience. This study investigated the synchronized scheduling of dual-source trolleybus networks to reduce the transfer time of passengers and the fleet size problem to reduce the operating cost of enterprises. A bi-objective mixed-integer linear programming model was developed to maximize the total synchronizations and minimize the total fleet size of dual-source trolleybus lines. A two-stage algorithm was designed to obtain multiple sets of Pareto effective solutions. Meanwhile, to demonstrate the effectiveness of the proposed method, the results of numerical examples solved by the two-stage algorithm were compared with those of a genetic algorithm (GA) and a nondominated sorting genetic algorithm (NSGA-II). A real-world case study based on the Beijing dual-source trolleybus network was studied to validate the proposed model. The results show that the model can obtain synchronized schedules. The optimization of the number of synchronizations and fleet size is obvious. The model and algorithm can be applied to a large dual-source trolleybus network.

Resilience Assessment of an Urban Rail Transit Network Under Short-Term Operational Disturbances

Operational disturbances within 30 min, namely, short-term operational disturbances (STODs), occur frequently during the daily operation of an urban rail transit (URT) system. Therefore, there is an urgent need to assess a network’s ability to respond to STODs to improve its operational level. The resilience of a URT network jointly considering turn-back operations, the occurrence time of STODs, and passenger travel experience is addressed. By considering passenger travel alternatives under STODs, we assessed the resilience of a network by utilizing the ratio of the average loss of a time-dependent performance indicator, which is referred to as the operational service level indicator in this paper. A simulation-based resilience assessment flowchart is also proposed. Numerical experiments conducted on the Chengdu subway network indicate that this network is more resilient to successive station failure than to simultaneous failure. Guaranteeing the normal operation of transfer stations is vital for enhancing the resilience of a network. The metric proposed in this paper is more practical for assessing resilience than the two commonly used metrics (performance loss and disturbance duration). Additionally, the experimental results highlight that turn-back operations at the stations have a significant impact on the resilience of a URT network. The sensitivity analysis of the parameters indicates that ensuring the normal operation of links connected by critical stations, preventing large-scale station failure, improving passenger tolerance to disturbance durations, and restoring the connectivity of disrupted links rapidly have practical significance for enhancing the resilience of a network.

Physiological measurements in social acceptance of self driving technologies

The goal of the present study is to examine the cognitive/affective physiological correlates of passenger travel experience in autonomously driven transportation systems. We investigated the social acceptance and cognitive aspects of self-driving technology by measuring physiological responses in real-world experimental settings using eye-tracking and EEG measures simultaneously on 38 volunteers. A typical test run included human-driven (Human) and Autonomous conditions in the same vehicle, in a safe environment. In the spectrum analysis of the eye-tracking data we found significant differences in the complex patterns of eye movements: the structure of movements of different magnitudes were less variable in the Autonomous drive condition. EEG data revealed less positive affectivity in the Autonomous condition compared to the human-driven condition while arousal did not differ between the two conditions. These preliminary findings reinforced our initial hypothesis that passenger experience in human and machine navigated conditions entail different physiological and psychological correlates, and those differences are accessible using state of the art in-world measurements. These useful dimensions of passenger experience may serve as a source of information both for the improvement and design of self-navigating technology and for market-related concerns.

Intelligent public transport cloud platform dispatching operation management system development

In recent years, with the rapid development of various cities, the operation and maintenance of the public transport system has become increasingly prominent problems, the development of the intelligent public transport system has been imperative. This paper takes the intelligent public transport system as the research object, using wireless network transmission technology, big data retrieval and processing, cloud computing platform and other technologies, analyzes the main requirements of the intelligent public transport system. This system adopts the classic three-layer architecture of the Internet of Things, namely, the perception layer, the network layer and the platform layer. Intelligent public transport dispatching system is the core system of intelligent public transport. The paper uses frog leaping algorithm as the dispatching algorithm to realize the function of public transport dispatching. Through the test, it can complete the task of adding or reducing vehicles according to the increase or decrease of passenger flow. The design and implementation of the cloud platform provides a strong support for the renewal and development of modern urban public transportation system, and has a certain guiding significance. As a complete system with more rapid and accurate management, more convenient and efficient operation, it improves the public transport dispatching ability and improves the travel experience of passengers, and has a cross-era significance for the development of urban public transportation.

Route optimization for energy efficient airport shuttle operations – A case study from Dallas Fort worth International Airport

The objective of this research is to reduce energy consumption from intra airport shuttle operations by optimizing routes and schedules, without compromising on passenger travel experience. To achieve this objective, we propose an optimization model that generates optimal airport shuttle routes for a given set of constraints and a discrete-event simulator that evaluates the optimal shuttle routes in a stochastic environment to understand the tradeoffs between the amount of time passengers wait for shuttles, and shuttle energy consumption. The proposed optimization model and stochastic simulation are tested using shuttle route data provided by the Dallas Fort Worth International Airport. Results indicate that optimized routes can lead to a 20% energy reduction in shuttle operations with a modest 2-min increase in average shuttle wait times. The optimization model and simulator presented here are designed to be generalizable and can be adapted to optimize shuttle operations at any major airport.

Cutting the loss: International benchmarking of a sustainable ferry business model

• An international benchmarking of ferry operation and pier infrastructure is proposed. • Passenger-related and operator-related factors are examined. • Improving passengers’ travel and multimodal transfer experience is fundamental. • Government investment in pier infrastructure and waterfront amenities is recommended. With rapid road infrastructure development in the past century, the role of water passenger transport has diminished drastically worldwide. A lot of ferry services in coastal cities have become financially unviable. However, water transport has huge potentials in promoting transport sustainability and resilience. This paper proposes a holistic framework that examines five core elements in a ferry business model, including (i) population demand, (ii) connectivity to public transit and activity nodes, (iii) individual preferences, (iv) management and operational strategies and (v) pier infrastructure. An international benchmarking framework of ferry operation and pier management across several cities with large-scale ferry development (Brisbane, Hong Kong, London, New York, San Francisco and Venice) is proposed and tested in Hong Kong. There are several general lessons. First, providing denser and more diversified opportunities (employment, commercial, recreation and open space) near the piers with good connectivity is essential. Direct access to these activities by water transport and well-developed intermodal transfer are conducive to ferry patronage. Second, improving the travel experience of passengers, including pre-boarding and on-board experience, is fundamental. Overall, integrating ferry services, pier infrastructure and promenade development in a policy package is critical to the long-term viability of ferry transport, although several critical challenges need to be addressed.

A location privacy protection scheme for convoy driving in autonomous driving era

Convoy driving has great potential in the development of autonomous driving industry, which can bring great improvement to the utilization rate of roads and the travel experience of passengers. However, the emergence of convoy driving also brings some new challenges to the location privacy of autonomous vehicles. In this paper, a novel dynamic mixed zone establishment scheme is proposed to protect the location privacy of autonomous vehicles in convoy driving context. As the convoy is a closed group, the request for the establishment of the mix zone will be broadcast first within the convoy, followed by outside the convoy. In order to prevent pseudonym syntactic join attacks within the convoy, the proposed scheme allows autonomous vehicles to use multiple valid pseudonyms if only itself change the pseudonym in the convoy. In order to trace the real identity of the offending vehicle, the proposed scheme specifies the distribution method of the pseudonym, the legitimate vehicle can trace the real identity of the offending vehicle by submitting the pseudonym of the offending vehicle. Compared with the scheme to protect location privacy in the traditional vehicular network, the proposed scheme has less overhead and a higher level of security.

A multimodal solution approach for mitigating the impact of planned maintenance on metro rail attractiveness

The possible unavailability of urban rail-based transport services due to planned maintenance activities may have significant consequences on the perceived quality of service, thus affecting railway attractiveness. To cope with the mitigation of planned service interruptions and to guarantee a seamless journey and a good travel experience for passengers, it is possible to exploit the existing services differently and/or provide additional on-demand services, such as temporary supplemental bus lines. In this context, this paper aims to develop a mathematical programming model for planning service interruptions due to maintenance considering passenger transport demand dynamics. In particular, the proposed approach deals with service interruptions characterized by a long duration for which timetable adaption strategies are not applicable, suggesting mitigation actions that exploit the already existing services and/or the activation of additional ones, with the aim of minimizing users' inconvenience. In doing so, the planned infrastructure status (i.e., available or under maintenance), as well as the forecasted transport demand, are taken into account to adapt the service accordingly by offering a multimodal transport solution to passengers. To find the best solution, a decomposition solution approach is proposed in combination with a multistage cooperative framework with feedback that models the negotiation process between the involved actors. Finally, the applicability of the proposed approach to real case studies is discussed based on some performance indicators.

Research on Optimizing Method of High Speed Railway Passing Capacity Utilization

The mode of transportation organization adopted by China’s high-speed railways is the “transportation organization for trains running at different speeds”. The advantage of this model is that it facilitates the travel of travelers, reduces the time and energy wastage caused by the transfer, and improves the travel experience of passengers. However, this mode has many disadvantages and may not necessarily meet the passenger travel demand. Therefore, this paper focuses on how to use the idea of compressed operation diagrams to create an optimized model under the mode of “transport organizations with different speed-class trains collinearly operating”. Stop plan provides a reference.

An Agent-Based Simulation Approach for Evaluating the Performance of On-Demand Bus Services

On-demand multi-passenger shared transport options are increasingly being promoted as an influential strategy to reduce traffic congestion and emissions and improve the convenience and travel experience for passengers. These services, often referred to as on-demand public transport, are aimed at meeting personal travel demands through the use of shared vehicles that run on flexible routes using advanced tools for dynamic scheduling. This paper presents an agent-based traffic simulation model that was developed to evaluate the performance of on-demand public transport and compare it with existing scheduled bus services using a case study of the inner city of Melbourne in Australia. The key performance measures used in the comparative evaluation included quality of service and passenger experience in terms of waiting times, the efficiency of service and operations in terms of hourly vehicle utilization, and system efficiency in terms of trip completion rates, passenger kilometers travelled and total passenger trip times. The results showed significant benefits for passengers who use on-demand bus services compared to scheduled bus services. The on-demand bus service was found to reduce average total passenger waiting times by 89% during the Morning Peak; by 78% during the Mid-Day period; by 81% during the Afternoon Peak; and by more than 95% during other periods of the day. From an operator’s perspective, the on-demand services were found to achieve around 70% vehicle utilization rates during peak hours compared to a utilization rate not exceeding 16% for the scheduled bus services. Even during off-peak periods, the occupancies for on-demand services were almost twice the vehicle occupancies for scheduled bus services. In terms of system efficiency, the on-demand services achieved a trip completion rate of 85% compared to a trip completion rate of 67% for the scheduled bus services. The total passenger-kilometers travelled was similar for both scheduled and on-demand bus services, which refutes claims that on-demand bus services induce more kilometers of travel. The trip completion times were around 55% shorter for on-demand bus services compared to scheduled services, which represents a significant saving in travel time for users. Finally, the paper presents average emissions per completed trip for both types of services and shows a significant reduction in emissions for on-demand services compared to conventional bus services. These include, on average, a 48% reduction in CO2 emissions per trip; 82% reduction in NO emissions per trip; and 41% reduction in p.m.10 emissions per trip. These findings clearly demonstrate the superior benefits of on-demand bus services compared to scheduled bus services.

Research on the Construction of Humanistic Airport

Humanistic airport is an important part of the construction objectives of “four types of airports”, namely safe airport, green airport, intelligent airport and humanistic airport. The construction of humanistic airport puts forward higher requirements for airport planning, design and operation management, emphasizing people-oriented and paying attention to passenger travel experience. The connotation, characteristics and problems in current planning, design and management of humanistic airports were analyzed. Drawing lessons from successful cases at home and abroad, this paper put forward suggestions and measures for the construction of China’s humanities airport.

Variations in airline passenger expectation of service quality across the globe

This study explores the interdependence between passenger travel experience and service quality in the airline industry for ten geographical regions across the globe. We extract 40,510 passenger reviews and rating information from Skytrax dataset between October 2011 and January 2018. To understand whether and to what extent passenger travel experience varies across geographical regions and their flight classes, we test sentiment score analysis of the reviews and path analysis methods. The results support the hypothesis that the geographical regions shaped by the country of residence of passengers impact travel experience, perception, and evaluation of airline services. North American passengers complain more about their national airline, while East and Southeast Asian passengers are more satisfied with Asian airlines. North American passengers care essentially about the money they pay for their flight and they pay less attention to in-flight services. East Asian passengers care more about in-flight services. Across all geographical regions, seat comfort is the most important factor to evaluate the value for money of the flight. Cabin staff service, however, is the main feature to rate overall flight experience. The results also corroborate that the expectation of passengers is different between the first or business classes and the economy class. Passengers in first or business class are more concerned about seat comfort, food and beverages, and in-flight entertainment. Passengers in economy class are more concerned about the value for money.

Application of Non-Negative Tensor Factorization for Airport Flight Delay Pattern Recognition

With the rapid development of civil aviation transportation in China, huge demand growth has broken the balance between supply and demand, resulting in airspace congestion and increasing flight delays. The delays of large airports have been increasing year by year, which has seriously affected the air travel experience of passengers. Obtaining their flight delay patterns can help identify defects in flight scheduling and airspace utilization. The investigation based on the actual flight operation data of Tianjin Binhai International Airport (TSN) is conducted, in order to capture the relationship and impact between the factors such as traffic flow direction, airline attributes and hourly average delay distribution. Furthermore, Non-negative Tensor Factorization (NTF) is applied to pattern recognition by introducing CP (CANDECOMP/PARAFAC) decomposition and Block Coordinate Descent (BCD) algorithm for selected data set. Numerical experiments show that the designed method has good performance in terms of computation speed and solution quality. Recognition results indicate the significant pattern characteristics of the Tianjin airport delay are extracted, which can provide some new perspectives for air traffic management unit to alleviate airspace congestion and improve service quality.