Exploring the network structure and nodal centrality of China’s air transport network: A complex network approach

Wang, Jiaoe; Mo, Huihui; Wang, Fahui; Jin, Fen

doi:10.1016/j.jtrangeo.2010.08.012

Cited by 419 publications

(247 citation statements)

References 30 publications

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“…An example is the centrality index used by Wang et al (2011) to examine the overall network structure and centrality of individual cities in the air transportation network of China. Unfortunately, the structure of the data in the present research does not allow the transitivity of bilateral trade flows to be taken into account, as we only have origin-destination information on trade flows.…”

Section: Logistics Performance and Tradementioning

confidence: 99%

Relationship between logistics infrastructure and trade: Evidence from Spanish regional exports

Bensassi

Márquez‐Ramos

Martínez‐Zarzoso

et al. 2015

Transportation Research Part A: Policy and Practice

126

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Geographical factors and transport infrastructure are two of the key determinants that influence international competitiveness. In this sense, the quality of such infrastructure and how widespread it is, the distribution and capacity of logistics facilities in a country, as well as the number of private operators and their degree of specialisation, all play an increasingly important role in the design of business strategies aimed at increasing a country's share of the international market. Until recently, however, availability and access to logistics services have been considered secondary factors when defining business competitiveness. This paper estimates an augmented gravity model of trade that specifically includes logistics and transport infrastructure indicators as explanatory variables. The model is estimated by using bilateral exports from 19 Spanish regions to 64 destinations (45 countries and 19 Spanish regions) with data for the period 2003 to 2007. The findings show that logistics is indeed important for the analysis of trade flows in goods and they highlight the importance of logistics measures at the regional level. In particular, the number, size and quality of logistics facilities positively influence export flows.

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Section: Logistics Performance and Tradementioning

confidence: 99%

Relationship between logistics infrastructure and trade: Evidence from Spanish regional exports

Bensassi

Márquez‐Ramos

Martínez‐Zarzoso

et al. 2015

Transportation Research Part A: Policy and Practice

126

View full text Add to dashboard Cite

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“…The spatial structure of the transport network, its distinctive roles of nodes and connection with actual traffic flows are the primary interests of geographic inquiry [15].…”

Section: Introductionmentioning

confidence: 99%

Scale-Free Network Theory in Studying the Structure of the Road Network in Poland

Kocur-Bera

2014

PROMET

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“…In recent years, the use of complex network theory in the field of transport studies has gained momentum mostly, but not exclusively, in air transport [39]. Two articles that provide an extensive and detailed review of the subject are [40,41].…”

Section: Modelling Rebound Effect With Network Theorymentioning

confidence: 99%

The Prism of Elasticity in Rebound Effect Modelling: An Insight from the Freight Transport Sector

Ruzzenenti

2018

Sustainability

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Abstract:If the rebound effect is to be considered a major obstacle to sustainable freight transport, then action and timely policy must be made in advance. This, however, requires a theoretical understanding of the nature of the rebound effect and an empirical grasp of its underlying mechanism. Elasticity is the centrepiece of current models on the rebound effect (or Jevons paradox). Although elasticity is a metric of indisputable usefulness for empirical purposes, it may be misleading when applied to the complex rebound effect. Drawing on the parallel case of the 'distance puzzle' in international economics, it will be shown how elasticity can be misinterpreted or how it can misdirect an investigation of the phenomenon by following a predetermined mindset. This particular bias is shown to widen in the long term and evolving systems in which the elasticity metric continues to output a constant number, eliciting a persistent effect. Drawing on previous research, an alternative approach to studying the rebound effect based on complex network theory and statistical mechanics of networks will be described. It will be shown how the interplay between spatial and non-spatial effects in freight transport networks can inform us about the evolution of the effect of distances on trade relationships, upon which a new metric for the rebound effect can be built.

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Exploring the network structure and nodal centrality of China’s air transport network: A complex network approach

Cited by 419 publications

References 30 publications

Relationship between logistics infrastructure and trade: Evidence from Spanish regional exports

Relationship between logistics infrastructure and trade: Evidence from Spanish regional exports

Scale-Free Network Theory in Studying the Structure of the Road Network in Poland

The Prism of Elasticity in Rebound Effect Modelling: An Insight from the Freight Transport Sector

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