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Titanic's passengers and crew
\"Titanic's Passengers and Crew is a compilation of compelling stories about the people aboard the luxurious--and supposedly unsinkable--ship. From wealthy first-class passengers like Jack Thayer to third-class travelers and crew, readers will meet and learn the harrowing tales of some of the most noteworthy people on the ship\"-- Provided by publisher.
Book
The last cruise : a novel
\"The 1950s vintage ocean liner Queen Isabella is making her final voyage before heading to the scrapyard. For the guests on board, among them Christine Thorne, a former journalist turned Maine farmer, it's a chance to experience the bygone mid-twentieth century era of decadent luxury cruising, complete with fine dining, classic highballs, string quartets, and sophisticated jazz. Smoking is allowed but not cell phones-- or children, for that matter. The Isabella sets sail from Long Beach, California into calm seas on a two-week retro cruise to Hawaii and back. But this is the second decade of an uncertain new millennium, not the sunny, heedless '50s, and certain disquieting signs of strife and malfunction above and below decks intrude on the festivities ... When a time of crisis begins, Christine, Mick, and Miriam find themselves facing the unknown together in an unexpected and startling test of their characters\"-- Provided by publisher.
Book
Effects of perceived safety, involvement and perceived service quality on loyalty intention among ride-sourcing passengers
Ride-sourcing services are increasingly popular since they were first introduced in the last decade. Particularly in developing countries where public transport systems have received less investment, ride-sourcing services are considered to be an informal form of public transport and have become an indispensable part of the transport systems. This study aims to construct and validate an integrated framework to explore the direct and indirect relationships between four constructs (perceived service quality, perceived safety, involvement and satisfaction) and passengers’ loyalty in the context of ride-sourcing services. By using data from a survey conducted in Vietnam from November to December 2018, partial least squares-structural equation modelling was applied to analyse the conceptualised model. The findings show that perceived service quality, involvement and satisfaction are found to be good predictors of passengers’ loyalty to ride-sourcing services while the direct relationship between perceived safety and loyalty has not been confirmed. However, involvement is found to fully mediate the causal link from perceived safety to loyalty. The research results should help ride-sourcing firms increase their financial performance and assist authorities to develop policies and regulations for ensuring passengers’ safety.
Journal Article
Modelling Passenger Distribution on Metro Platforms Based on Passengers' Boarding Strategies
Passenger distributions on metro platforms significantly affect the boarding and alighting time, thereby the train dwell time, which is a determinant of the metro line capacity. Modelling passenger distributions on metro platforms is fundamental for designing and managing the train dwell time and metro line capacity. However, most existing models neglected a vital boarding strategy of passengers, namely some passengers move on the platform at the origin stations to minimise the walking distance on the platform at the destination stations, which is called the destination-based boarding strategy. This dissertation confirmed the existence and effectiveness of the destinationbased boarding strategy. A model of both boarder and alighter distributions on metro platforms was developed, considering two typical boarding strategies (namely the destination- and origin- based boarding strategy). The interactions between different boarding strategy users were first presented in a model of passenger distributions on metro platforms. Furthermore, the loadweigh data was used to calibrate and validate the developed model, based on a linear regression model developed in this dissertation that converts the loadweigh data into passenger numbers. The developed model can improve the estimation accuracy of passenger distributions on metro platforms. The estimation results are useful input to improve the accuracy of the existing train dwell time models. The developed model working with the existing models of dwell times is useful for designing reasonable platform entrance & exit locations at the line-level, resulting in short boarding and alighting times to increase the metro capacity. The analysing results suggested that the overall boarding and alighting time could be reduced by 17.3% - 20.5% if we reasonably arranged the locations of the platform entrances and exits at the eight studied stations, compared with the current platform entrance and exit locations.
Dissertation
Interactions and Equilibrium Between Rescheduling Train Traffic and Routing Passengers in Microscopic Delay Management: A Game Theoretical Study
In the last decade, optimization models for railway traffic rescheduling mostly focused on incorporating an increasing detail of the infrastructure, with the goal of proving feasibility and quality from the point of view of the managers of the infrastructure (tracks and stations). Different approaches that manage only the passenger flows instead focus more explicitly on the quality of service perceived by the passengers. This paper investigates microscopic railway traffic optimization models and algorithms, merging these two streams of research. In particular, we analyze the characterization of an equilibrium point between the reordering choices of train dispatchers in railway traffic optimization and the route choice of passengers in the available services of the railway transport network. We describe how passenger choice at stations along the route intertwines deeply with the problem of rescheduling trains over tracks and station resources in a very complicated setting that might not exhibit equilibrium points in general. Delaying trains and/or dropping passenger connections and/or giving particular route advice to passengers might influence the behavior of traffic controllers and passengers, determining a trade-off between the delays of trains, weighted by the passenger load, and the travel time of passengers. We study this problem with a game theoretical approach, focusing on the solutions corresponding to Nash equilibria of a game involving passengers and infrastructure managers. The proposed game theoretical approach is able to easily consider information and interdependence of the actions of multiple stakeholders. Computational results based on a real-world Dutch railway network quantify the trade-off between the minimization of train delays and passenger travel times and the performance, stability, and convergence of the equilibrium point given different algorithms and information available. The final aim of this work is to study the impact of effective implementations of railway traffic management and dissemination of information to passengers and operators.
Journal Article
Rescheduling of Railway Rolling Stock with Dynamic Passenger Flows
In this paper we describe a real-time rolling stock rescheduling model for disruption management of passenger railways. Large-scale disruptions, e.g., due to malfunctioning infrastructure or rolling stock, usually result in the cancellation of train services. As a consequence, the passenger flows change, because passengers will look for alternative routes to get to their destinations. Our model takes these dynamic passenger flows into account. This is in contrast with most traditional rolling stock rescheduling models that consider the passenger flows either as static or as given input. Furthermore, we describe an iterative heuristic for solving the rolling stock rescheduling model with dynamic passenger flows. The model and the heuristic were tested on realistic problem instances of Netherlands Railways, the major operator of passenger trains in the Netherlands. The computational results show that the average delay of the passengers can be reduced significantly by taking into account the dynamic behavior of the passenger flows on the detour routes, and that the computation times of the iterative heuristic are appropriate for an application in real-time disruption management.
Journal Article
Evaluation of modelled climatologies of O.sub.3, CO, water vapour and NO.sub.y in the upper troposphere-lower stratosphere using regular in situ observations by passenger aircraft
Evaluating global chemistry models in the upper troposphere-lower stratosphere (UTLS) is an important step toward an improved understanding of the chemical composition in this region. This composition is regularly sampled through in situ measurements based on passenger aircraft, in the framework of the In-service Aircraft for a Global Observing System (IAGOS) research infrastructure. This study focuses on the comparison of the IAGOS measurements in ozone, carbon monoxide (CO), nitrogen reactive species (NO.sub.y) and water vapour, with a 25-year simulation output from the LMDZ-OR-INCA chemistry-climate model. For this purpose, we present and apply an extension of the Interpol-IAGOS software that projects the IAGOS data onto any model grid, in order to derive a gridded IAGOS product and a masked (sub-sampled) model product that are directly comparable to one another. Climatologies are calculated in the upper troposphere (UT) and in the lower stratosphere (LS) separately but also in the UTLS as a whole, as a demonstration for the models that do not sort out the physical variables necessary to distinguish between the UT and the LS. In the northern extratropics, the comparison in the UTLS layer suggests that the geographical distribution in the tropopause height is well reproduced by the model. In the separated layers, the model simulates well the water vapour climatologies in the UT and the ozone climatologies in the LS. There are opposite biases in CO in both UT and LS, which suggests that the cross-tropopause transport is overestimated. The NO.sub.y observations highlight the difficulty of the model in parameterizing the lightning emissions. In the tropics, the upper-tropospheric climatologies are remarkably well simulated for water vapour. They also show realistic CO peaks due to biomass burning in the most convective systems, and the ozone latitudinal variations are well correlated between the observations and the model. Ozone is more sensitive to lightning emissions than to biomass burning emissions, whereas the CO sensitivity to biomass burning emissions strongly depends on location and season. The present study demonstrates that the Interpol-IAGOS software is a tool facilitating the assessment of global model simulations in the UTLS, which is potentially useful for any modelling experiment involving chemistry climate or chemistry transport models.
Journal Article
Correction: Inferring Passenger Denial Behavior of Taxi Drivers from Large-Scale Taxi Traces
[This corrects the article DOI: 10.1371/journal.pone.0165597.].
Journal Article
Factors Influencing Rail Service Passenger Loyalty Among Older Thai Adults
This study investigates the drivers of older adult loyalty (OAL) in Thailand’s rail passenger transport sector. Using structural equation modeling (SEM), data from 625 older rail passengers were analyzed to examine the direct and indirect pathways shaping loyalty. The results demonstrate that service innovation (SI) exerted the strongest overall effect on OAL, both directly and through its influence on service quality (SQ) and passenger satisfaction (PS). Interaction-oriented innovations and accessible delivery technologies emerged as particularly influential, highlighting the importance of human-centered innovation in aging societies. Perceived value (PV) also significantly predicted SQ, PS, and OAL, with price fairness, emotional reassurance, and reliability as key sub-dimensions. SQ was confirmed as a central mediator, translating SI and PV into satisfaction and loyalty outcomes, while PS, although significant, played a secondary role. The findings extend existing theories by demonstrating that innovation and value outweigh satisfaction as loyalty drivers in this context. They advance the SERVQUAL, Value–Attitude–Behavior, and Expectancy–Disconfirmation frameworks by showing that satisfaction is a necessary but insufficient condition for loyalty. The study emphasizes aligning innovation, value, and quality to build inclusive, sustainable loyalty strategies for older rail passengers.
Journal Article