The massive expansion of global aviation, its insatiable demand for airport capacity and its growing contribution to carbon emissions make it a critical societal problem. Alongside traditional ...concerns about noise and air pollution, airport politics has been connected to the problems of climate change and peak oil. Yet it is still thought to be a driver of economic growth and connectivity in an increasingly mobile world. The politics of airport expansion in the United Kingdom provides the first in-depth analysis of the protest campaigns and policymaking practices that have marked British aviation since the construction of Heathrow Airport. Grounded in documentary analysis, interviews and policy texts, it constructs and employs poststructuralist policy analysis to chart rival groups and movements seeking to shape public policy. This book will appeal to people interested in the history of aviation and airports in Britain, local campaigns and environmental protests, and the politics of climate change.
Abstract
The purpose of this design is to carry on the reconstruction planning to the present Baimiao passenger station, in order to improve its passenger flow and service quality, improve the ...residents’ travel experience. In this paper, the passenger volume of Tianjin from 2010 to 2019 is taken as the research object, and the passenger volume of Baimiao Passenger Station is predicted by exponential smoothing method from 2021 to 2028. Then, the passenger volume of Baimiao Passenger Station is predicted according to the proportion of total passenger volume in Tianjin. Then make reasonable planning for Baimiao passenger station.. Finally, some constructive suggestions are put forward.
Modelling delay propagation within an airport network Pyrgiotis, Nikolas; Malone, Kerry M.; Odoni, Amedeo
Transportation research. Part C, Emerging technologies,
02/2013, Letnik:
27
Journal Article, Conference Proceeding
Recenzirano
► In this study we model an airport network using an analytical queuing model. ► We introduce a stochastic and dynamic queuing engine to estimate local delays. ► We use a network decomposition ...approach to propagate delays through the network. ► We show the importance of taking into account delay propagation in an airport network model. ► High delay propagation leads to demand smoothing and counter-intuitive benefits for many airport users.
We describe an analytical queuing and network decomposition model developed to study the complex phenomenon of the propagation of delays within a large network of major airports. The Approximate Network Delays (AND) model computes the delays due to local congestion at individual airports and captures the “ripple effect” that leads to the propagation of these delays. The model operates by iterating between its two main components: a queuing engine (QE) that computes delays at individual airports and a delay propagation algorithm (DPA) that updates flight schedules and demand rates at all the airports in the model in response to the local delays computed by the QE. The QE is a stochastic and dynamic queuing model that treats each airport in the network as a M(t)/Ek(t)/1 queuing system. The AND model is very fast computationally, thus making possible the exploration at a macroscopic level of the impacts of a large number of scenarios and policy alternatives on system-wide delays. It has been applied to a network consisting of the 34 busiest airports in the continental United States and provides insights into the interactions through which delays propagate through the network and the often-counterintuitive consequences. Delay propagation tends to “smoothen” daily airport demand profiles and push more demands into late evening hours. Such phenomena are especially evident at hub airports, where some flights may benefit considerably (by experiencing reduced delays) from the changes that occur in the scheduled demand profile as a result of delays and delay propagation.
•We develop dynamic network DEA models to investigate PFC-for-AIP funds substitution.•U.S. airports can substitute PFC for 8–35% of the current AIP funds.•The substitution contributes significantly ...to the Congress’ plan to cut AIP funding.•The amount of substitution negatively correlates with airport efficiency.
Passenger Facility Charge (PFC) and the Airport Improvement Program (AIP) are two major sources to finance U.S. airports. This paper develops a novel dynamic network DEA framework to investigate the substitutability between PFC and AIP funds. We find that the studied U.S. airports can substitute PFC for 8–35% of the current AIP funds and contribute significantly to the proposed plan of the US congress to cut AIP funding. In addition, the amount of PFC-for-AIP funds substitution negatively correlates with the productive efficiency of airports. The findings send an important message for future policy reforms on U.S. airport financing.
•This study focuses on the relationship between Blockchain Technology and supply chain management (SCM).•This two-step study adopts a managerial perspective for investigating Blockchain Technology ...and SCM within airports.•The Blockchain Technology, such as A-CDM, can improve the operations management in the SCM for sustainable performing.•This study shows the role of non-financial reports into disclosure for stakeholders in sharing information through A-CDM.•Adopting Blockchain technology doesn’t guarantee to sustainable performing but much collaboration and training needed.
This paper investigates the major implications of blockchain technology for operations management (OM) with a focus on the decision-making processes in supply chain management (SCM) from the perspective of sustainable performance. The links between blockchain technology, OM, and sustainability issues within SCM are analysed. This two-step research study includes a broad review of the main contributions in the literature that have focused on blockchain technology and OM in SCM. It covers the airport industry from the perspective of sustainable performance and data analysis by reading and processing financial statements, non-financial reports, and the website of one strategic airport infrastructure in southern Italy. The Italian airport infrastructure investigated successfully adopted the Airport Collaborative Decision Making (A-CDM) platform. This is one of the main blockchain technology applications in the airport industry. It promotes cooperation between the main players in the aviation industry and the air traffic controllers (ATCs) to reduce fragmentation, inefficiency, and uncoordinated operations. It also allows information and data sharing, but it is still not possible to observe a high level of sustainable performance.
Although the adoption of blockchain technology presents numerous benefits, especially in improving OM, these new technological solutions do not guarantee the achievement of the best performance in terms of effectiveness, efficiency, and sustainability issues. Managers and policy makers need to work together to create a real forum within their collaborative network in which there is a common culture and mutual trust. This article adds an interesting reading of blockchain technology to the existing research with concerns about OM and sustainability issues within the airport setting in Italy.
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