The Butterfly Effect of Transport Network Connectivity and Welfare Implication

AbstractThe spread of dengue through global human mobility is a major public health concern. A key challenge is understanding the transmission pathways and mediating factors that characterized the patterns of dengue importation into non-endemic areas. Utilizing a network connectivity-based approach, we analyze the importation patterns of dengue fever into European countries.Seven connectivity indices were developed to characterize the role of the air passenger traffic, seasonality, incidence rate, geographical proximity, epidemic vulnerability, and wealth of a source country, in facilitating the transport and importation of dengue fever. We used generalized linear mixed models (GLMMs) to examine the relationship between dengue importation and the connectivity indices while accounting for the air transport network structure. We also incorporated network autocorrelation within a GLMM framework to investigate the propensity of a European country to receive an imported case, by virtue of its position within the air transport network.The connectivity indices and dynamical processes of the air transport network were strong predictors of dengue importation in Europe. With more than 70% of the variation in dengue importation patterns explained. We found that transportation potential was higher for source countries with seasonal dengue activity, high passenger traffic, high incidence rates, lower economic status, and geographical proximity to a destination country in Europe. We also found that position of a European country within the air transport network was a strong predictor of the country’s propensity to receive an imported case.Our findings provide evidence that the importation patterns of dengue into Europe can be largely explained by appropriately characterizing the heterogeneities of the source, and topology of the air transport network. This contributes to the foundational framework for building integrated predictive models for bio-surveillance of dengue importation.

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Roman Transport Network Connectivity and Economic Integration

SSRN Electronic Journal ◽

10.2139/ssrn.3424723 ◽

2019 ◽

Author(s):

Matthias Flueckiger ◽

Erik Hornung ◽

Mario Larch ◽

Markus Ludwig ◽

Allard Mees

Keyword(s):

Economic Integration ◽

Network Connectivity ◽

Transport Network

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TESTING THE EFFECTIVENESS OF THE STREET NETWORK OF CITIES (ON THE EXAMPLE OF PETROZAVODSK)

The economy of the North-West: problems and prospects of development ◽

10.52897/2411-4588-2021-2-145-150 ◽

2021 ◽

Vol 2 (65) ◽

pp. 145-150

Author(s):

Evgeny P. Dudkin ◽

◽

Abujwaid Husam Abbas Mohsin ◽

Leonid A. Losin ◽

◽

...

Keyword(s):

Graph Theory ◽

Public Transport ◽

Traffic Congestion ◽

Road Network ◽

Network Connectivity ◽

Transport Network ◽

Transport Infrastructure ◽

Street Network ◽

Real Network ◽

The City

The transport network of cities can be represented as a complex of streets and passages, as well as elements of public transport infrastructure unconnected with the street and road network. It is reasonable to represent the real network in the form of a simplified network based on graph theory to analyze the properties of the transport network. There are various methods of network connectivity assessment, including those based on various indices. According to all indicators in the street and road network of the city of Petrozavodsk it is necessary to increase the number of units. The implementation of recommendations for changes of the street and road network of the city of Petrozavodsk will reduce traffic congestion, the number of accidents and transport expenses. It is recommended to use the proposed method to assess and improve the street and road network of cities.

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Measuring Public-Transport Network Connectivity Using Google Transit with Comparison across Cities

Journal of Public Transportation ◽

10.5038/2375-0901.17.4.5 ◽

2014 ◽

Vol 17 (4) ◽

pp. 76-92 ◽

Cited By ~ 4

Author(s):

Subeh Chowdhury ◽

Avishai Ceder ◽

Bruno Velty

Keyword(s):

Public Transport ◽

Network Connectivity ◽

Transport Network

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Container Transport Network for Sustainable Development in South Korea

Sustainability ◽

10.3390/su10103575 ◽

2018 ◽

Vol 10 (10) ◽

pp. 3575 ◽

Cited By ~ 5

Author(s):

Kevin Li ◽

Tae-Joon Park ◽

Paul Lee ◽

Heather McLaughlin ◽

Wenming Shi

Keyword(s):

Sustainable Development ◽

South Korea ◽

Capacity Utilization ◽

Network Connectivity ◽

Transport Network ◽

Transport Infrastructure ◽

Transport Networks ◽

Port Development ◽

Container Transport ◽

Insight Into

The ever-increasing tendency toward economic globalization highlights the importance of sustainable container transport networks to a country’s international trade, especially for an economy that is highly dependent on exports. This paper aims to develop a transport network connectivity index (TNCI) to measure the container transport connectivity from a multi-modal perspective. The proposed index is based on both graph theory and economics, considering transport infrastructure and capacity, cargo flow, and capacity utilization. Using the case of South Korea as an example, we apply the TNCI to assess the connectivity of the Busan, Gwangyang, and Incheon ports, representing approximately 96% of the container throughput in South Korea. The calculated TNCI not only provides insight into the assessment of sustainable port competitiveness, it also helps policymakers identify bottlenecks in multi-modal transport networks. To eliminate these bottlenecks, this paper offers some appropriate measures and specific strategies for port development, which in turn improves the connectivity of container transport networks for sustainable development.

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