Dynamics in the European Air Transport Network, 2003–9: An Explanatory Framework Drawing on Stochastic Actor-Based Modeling

Zhang, Shengrun; Derudder, Ben; Witlox, Frank

doi:10.1007/s11067-015-9292-8

Cited by 19 publications

(16 citation statements)

References 49 publications

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“…In the former structure, travelers need to transfer at an intermediary airport (i.e., hub) to reach their destinations, whereas in the latter one, only non-stop flights exist. Similar structures have also emerged in air transport networks in other geographies, such as the US and Europe [6,7]. Importantly, however, "real-hubbing" in terms of a connection-based wave structure, has been relatively stable and occurs at only four airports: Beijing (PEK), Shanghai (PVG), Guangzhou (CAN) and Kunming (KMG).…”

Section: Introductionmentioning

confidence: 78%

“…The viability and advantages of using SABMs in spatial network analysis can be seen in Liu et al [32]. Zhang et al [7] have employed SABMs specifically in an air transport context in their research of the evolution of European air networks. In particular, the research recognized that in a liberalizing marketplace, airports have become significant actors in the development of air transport networks.…”

Section: Methodology Modeling Network Dynamicsmentioning

confidence: 99%

“…The evolution of CATN is represented by the change of routes across a long time series. Zhang et al [7] have employed SABMs to examine the dynamics of the European air transport network. The viability and advantages of using SABMs will be introduced in the next section.…”

Section: Introductionmentioning

confidence: 99%

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Modeling the Evolutionary Mechanism of China’s Domestic Air Transport Network

Zhang

Tang

et al. 2020

Sustainability

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With the rapid expansion of China’s domestic air transport network (CATN), it is fundamental to model which factors and mechanisms impact this development. This paper investigates how the combined endogenous and exogenous factors influencing the evolution of CATN based on longitudinal data by utilizing a more all-encompassing methodology of stochastic actor based-modeling (SABM). Endogenous variables include a density effect, a betweenness effect, a transitivity closure effect, and a ‘number of distances-two’ effect. Exogenous variables incorporate airport hierarchy, a distance effect, presence or absence of low-cost carriers (LCCs) and high-speed rail (HSR). The systematic classification of Chinese airports into more than the typical two or three tiers allows the impacts of the four endogenous covariates to be revealed. Overall, the CATN has tended to evolve into a more compacted and non-concentrated network structure through the creation of non-stop routes and closed triads. The integrated inclusion of low-cost carrier and high-speed rail effects highlights the importance of market presence to the initiation of new routes at initial stages, cultivating potential demand and increasing accessibility. In addition, the construction of HSR to one primary airport within a multi-airport system can raise “shadow effects” for other airports. Our findings provide policy suggestions for airport operators in terms of developing accurate positions in the hierarchy and strengthening transfer ability.

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Section: Introductionmentioning

confidence: 78%

Section: Methodology Modeling Network Dynamicsmentioning

confidence: 99%

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Modeling the Evolutionary Mechanism of China’s Domestic Air Transport Network

Zhang

Tang

et al. 2020

Sustainability

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“…These words refer to graph theory, an area of mathematics use to study graphs, which are models of relations between objects. This type of abstraction has been used frequently by researchers working on world cities to analyse corporate networks (Neal 2008) or airplane networks (Zhang et al 2016). Graph theory has been imported by geographers and regional scientists since the 1960s (Kansky 1963;Haggett and Chorley 1969), but recently, spatial scientists have started to use models popular in the interdisciplinary field of network sciences such as scale-free or small-words networks (see Neal ZP, Is the urban world small?…”

Section: The Vocabulary Of the Urban System Literaturementioning

confidence: 99%

The Evolution of the Systems of Cities Literature Since 1995: Schools of Thought and their Interaction

2018

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The study of relations between cities has long been a major focus in urban research. For decades, this field has grown integrating contributions from many disciplines. But today, the field appears rather fragmented. This study analyses the body of literature that has developed over the last 23 years to identify schools of thought on interurban relationships and to see to what extent these interact with each other. It does so by innovatively employing bibliometric analysis to the study of systems of cities, which allows a bottom-up identification of five schools of thought: one predominantly focusing on the regional or intra-metropolitan scale and centred on concepts of polycentricity; one addressing the global scale with a focus on world city networks; one employing simulation and complexity theories to understand behaviour of agents building the urban system bottom-up; one rooted in (new) economic geography and focusing on growth and decline in the urban system; and, one seeking regularities with respect to city size distributions. The conceptual, methodological and empirical aspects of these different schools are discussed by means of a 'semantic map' derived from the vocabulary of titles and abstracts of papers. The coupling of the semantic map with the citation networks of these schools of thought confirms the increasing fragmentation of the field over the last decades. However, in the most recent years, the different schools of thought start to interact slightly more. The desirability and feasibility of a move from multidisciplinarity to interdisciplinarity in urban systems research needs further exploration.

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“…Dai, Derudder, & Liu, 2018; Derudder & Witlox, 2005ab;Derudder, Van de Vijver, & Witlox, 2016;Keeling, 1995;Smith & Timberlake, 2001;Zhang, Derudder, & Witlox, 2016; entre otros.…”

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Ciudades y conectividad aérea en el sistema mundo: nodos consolidados y centros emergentes

Díez-Pisonero

2020

EURE (Santiago)

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Dynamics in the European Air Transport Network, 2003–9: An Explanatory Framework Drawing on Stochastic Actor-Based Modeling

Cited by 19 publications

References 49 publications

Modeling the Evolutionary Mechanism of China’s Domestic Air Transport Network

Modeling the Evolutionary Mechanism of China’s Domestic Air Transport Network

The Evolution of the Systems of Cities Literature Since 1995: Schools of Thought and their Interaction

Ciudades y conectividad aérea en el sistema mundo: nodos consolidados y centros emergentes

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