Measuring connectivity in the air freight industry

Boonekamp, T.; Burghouwt, Guillaume

doi:10.1016/j.jairtraman.2016.05.003

Cited by 58 publications

(44 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Based on the time series data with stationarity, we estimated the model by using an ACF and a partial autocorrelation function (PACF) results for non-seasonal and seasonal first differences. Based on the results shown in Figure 6, two models of ARIMA (0, 1, 1) (1, 1, 0) 12 and ARIMA (1, 1, 0) (1, 1, 0) 12 were considered and were found to be statistically insignificant. The constant term was excluded from the model.…”

Section: Model Estimationmentioning

confidence: 99%

Development of a Cost Forecasting Model for Air Cargo Service Delay Due to Low Visibility

Kim

Lee

2019

Sustainability

View full text Add to dashboard Cite

The air cargo market is growing due to the spread of information technology (IT) products, the expansion of e-commerce, and high value-added products. Weather deterioration is one factor with a substantial impact on cargo transportation. If the arrival of cargo is delayed, supply chain delays occur. Because delays are directly linked to costs, companies need precise predictions of cargo transportation. This study develops a forecasting model to predict delay times and costs caused by the delayed arrival of cargo due to severe weather in the air cargo service environment. A seasonal autoregressive integrated moving average (SARIMA) model is developed and analyzed to address delay reductions in cargo transportation. Necessary data are identified and collected using time series data provided by Incheon International Airport Corporation, with an emphasis on monthly data on cargo throughput at Incheon International Airport from January 2009 to December 2016. The model makes forecasts for further analysis. The model stands to provide decision makers with strategic and sustainable insights for cargo transportation planning and other similar applications.

show abstract

Section: Model Estimationmentioning

confidence: 99%

Development of a Cost Forecasting Model for Air Cargo Service Delay Due to Low Visibility

Kim

Lee

2019

Sustainability

View full text Add to dashboard Cite

show abstract

“…costs, reputation, presence of freight forwarders) and could be used to shape and or adjust the airport strategy for air cargo. Fuerst and Gross, 2018;Mayer, 2016;Wong et al, 2016;Bowen, 2012;Boquet, 2009;Gardiner and Ison, 2008;Gardiner et al, 2005a;Gardiner et al, 2005b;Zhang, 2003;Air Transport World, 2002;Noviello et al, 1996;Dennis, 1994;Schwieterman, 1994;O'Kelly, 1986;Harris, 1954 Local O-D demand Boonekamp and Burghouwt, 2017;Kupfer et al, 2016;Bowen, 2012;Alkaabi and Debbage, 2011;Gardiner and Ison, 2008;Cosmas and Martini, 2007;Zhang, 2003;Hall, 2002;Zhang andZhang, 2002 Capacity Adenigbo, 2016;Magalhães et al, 2015;Basso and Zhang, 2010;Madas ans Zografos, 2008;Neiberger, 2008 CARGO MARKET PLACE Presence of freight forwarders Boonekamp and Burghouwt, 2017;Kupfer et al, 2016;Burghouwt et al, 2014;Chu, 2014;Li et al, 2012;Rodrigue, 2012;Tretheway and Andriulaitis, 2010;Yuan et al, 2010;Air Cargo World, 2001 Presence of integrators Malighetti et al, 2016;Struyf, 2016;Onghena, 2013;<...>…”

Section: Factors Determining the Airport Competitiveness For Air Freightmentioning

confidence: 99%

“…Generally, an airport faces very little competition for local traffic, whereas the competition for gateway cargo is rather fierce between airports in the same catchment area (Boonekamp and Burghouwt, 2017;Kupfer et al, 2016;Zhang, 2003). Regarding hub traffic, airports face competition from other hub airports which are not necessarily in close proximity of the airport.…”

Section: Origin -Destination Demandmentioning

confidence: 99%

Air Cargo and Airport Competitiveness

Asch

Dewulf

Kupfer

et al. 2019

JATS

View full text Add to dashboard Cite

Historically, airlines and airports considered air cargo as a by-product. However, by looking for additional sources of revenue, airlines and airports became aware of the potential of air cargo. In this study, the competitiveness of European airports with respect to air cargo will be discussed. The relevant characteristics determining the competitiveness of an airport with respect to air cargo are identified by an extensive literature review and by interviews with industry-specialists. These characteristics can be divided into four different components: territory, air cargo marketplace, airport operations and product differentiation. Each component consists of several factors affecting airport competitiveness for cargo. This study can be used by airports to help assessing and enhancing its air cargo strategy, whereas (potential) shareholders are given an additional instrument to check whether an investment in an airport makes would be viable or not.

show abstract

“…81 However, the meeting of the two aircraft above the Netherlands also underlines how skewed aeromobility is in favour of those allowed and able to use the global transport system. 82 While large parts of the world's population in effect are excluded from the prerogatives of global mobility, it is easier in many ways to ship goods between countries than people. Through a combination of political and economic pressures, air traffic control unwittingly plays a role in maintaining and reproducing a global pattern of unequal mobility chances -blocking the access of many to a system that only in very rare circumstances breaks down for all.…”

Section: The Crossing Of Pathsmentioning

confidence: 99%

Living in a fly-over world: on moving in a heterogeneous navigational culture

Wilts

2019

cultural geographies

View full text Add to dashboard Cite

This article explores a question of aeromobility and cultural geography by asking what it means to live in a fly-over world. How are we part of practices of aeromobility at times when we are not travelling ourselves? In reflecting on different aspects of global air travel, the article offers a critical understanding of how aeromobility increases the heterogeneity of our navigational culture. A culture not understood as a single global space encompassing us all but rather as networked combinations of travel and non-travel, of horizontal speed and vertical distance, and of complex patterns of diverse modes of movement. Air travel changes the relative distance between geographies. Based on this observation, the article argues that aeromobility affects the feeling of belonging that we develop to the people and places around us – even when we are not able or willing or allowed to travel across the globe.

show abstract

Measuring connectivity in the air freight industry

Cited by 58 publications

References 28 publications

Development of a Cost Forecasting Model for Air Cargo Service Delay Due to Low Visibility

Development of a Cost Forecasting Model for Air Cargo Service Delay Due to Low Visibility

Air Cargo and Airport Competitiveness

Living in a fly-over world: on moving in a heterogeneous navigational culture

Contact Info

Product

Resources

About