This paper deals with estimation of direct energy consumption and related emissions of GHG exclusively, including CO₂, by the High Speed Rail (HSR), Trans Rapid Maglev (TRM), and Hyperloop (HL) passenger transport systems. This includes developing the corresponding analytical models based on the mechanical energy and applying them according to the specified what-if operating scenarios. The analogous models are developed and applied to the Air Passenger Transport (APT) system for comparison purposes. The results of the application of the proposed models under given conditions have indicated that the average and total energy consumption and related emission of CO₂ of the three systems have been generally sensitive, i.e. elastic to variations of the nonstop journey distance and the vehicle/train seating capacity. Their average values have decreased more than proportionally and total values in proportion with increasing of the nonstop journey distance. Both have decreased with increasing of the vehicle/train seating capacity per departure. In the case of supplying equivalent equally utilized transport capacities, the HSR and the TRM have had lower energy consumption and related emission of CO₂ than the HL system. As well, the HSR, the TRM, and the HL have had lower energy consumption and related CO₂ emission than the selected APT aircraft up to some ‘breaking’ journey distance under given what-if operating scenarios.

This paper deals with modelling the performance of an air transport network operated by existing subsonic and the prospective supersonic commercial aircraft. Analytical models of indicators of the infrastructural, technical/technological, operational, economic, environmental, and social performance of the network relevant for the main actors/stakeholders involved are developed. The models are applied to the given long-haul air route network exclusively operated by subsonic and supersonic aircraft according to the specified "what-if"scenarios.The results from application of the models indicate that supersonic flights powered by LH2 (Liquid Hydrogen) could be more feasible than their subsonic counterparts powered by Jet A fuel, in terms of about three times higher technical productivity, 46% smaller size of the required fleet given the frequency of a single flight per day, 20% lower sum of the aircraft/airline operational, air passenger time, and considered external costs, up to two times higher overall social-economic feasibility, and 94% greater savings in contribution to global warming and climate change. These flights could be less feasible in terms of about 70-85% higher aircraft/airline operational costs, 70% and 19% higher fuel consumption and emissions of Green House Gases, respectively, and 6-13% higher noise compared to the specified acceptable levels.

This paper examines the use of big data and data analytics in international transport networks from the perspective of historical big data, focusing on shipping logs from the British, Dutch, Spanish and French fleets in between 1662 and 1855. Based on a large-scale database containing mainly meteorological data collected in the CLIWOC project (2003), we computed travel distances and analyzed historical global maritime networks. This paper focuses on route choice, and consequently the time, distance, speed and reliability of the ships, covering different time periods, seasonal patterns and trade flows. The results reveal a clear picture of the main routes per nationality that is also indicative of the linguistical, cultural and economic colonial heritage that remains in the ‘host’ countries up to this day. The average daily distances covered vary over the countries involved, over the seasons and over different time periods. Also the trip characteristics vary notably over the different countries. Zooming in on the main trade flows, the corridor from the Netherlands to Indonesia stands out, but also considerable differences in average speed and stopover times were found along this route. Related to the complexity of using big data in studying international transport networks, our conclusion is that the degree of permutations and interactions with the dataset is not necessarily less for analyzing historical shipping records. It seems that big data of the past still can inspire future explorations of our historical transport networks on the world's oceans.

This paper develops a theoretical framework containing the methodology for assessing resilience of the ATC (Air Traffic Control) sectors affected by the impact of a given disruptive event. The resilience is considered as ability of these sectors to retain a certain level of the regular/nominal performance during the impact and fully recover relatively fast afterwards. The actually rear disruptive event is considered to be the large-scale failure of a component of the ATC facilities and equipment supporting safe, efficient, and effective air traffic. Under such conditions, different mitigating contingency measures are generally applied resulting in deteriorating the operational, economic, and environmental performance of the affected sectors while maintaining the required level of safety. This performance is represented by the indicators such as demand, capacity, traffic complexity, the ATC controller workload, aircraft/flight delays and their costs, and additional fuel consumption and related emissions of GHG (Green House Gases). The proposed methodology consists of the generic model of resilience, the analytical models for estimating the indictors of ATC sectors’ performance, and the analytical models of resilience based the indicators as figures-of-merit for assessing resilience. These models are based on the practice-close mitigating contingency measures applied to the ATC sectors affected by a given disruptive event. The possible application of the proposed methodology is also elaborated.

Introduction: Hyperloop (HL) is presented as an efficient alternative of HSR (High Speed Rail) and APT (Air Passenger Transport) systems for long-distance passenger transport. This paper explores the performances of HL and compares these performances to HSR and APT. Methods: The following performances of the HL system are analytically modeled and compared to HSR and APT: (i) operational performance; (ii) financial performance; (iii) social/environmental performance. Results: The main operational result is that the capacity of HL is low which implies a low utilization of the infrastructure. Because the infrastructure costs dominate the total costs, the costs per passenger km are high compared to those for HSR and APT. The HL performs very well regarding the social/environmental aspects because of low energy use, no GHG emissions and hardly any noise. The safety performance needs further consideration. Conclusions: The HL system is promising for relieving the environmental pressure of long-distance travelling, but has disadvantages regarding the operational and financial performances.

This paper deals with modelling the dynamic resilience of rail passenger transport networks affected by large-scale disruptive events whose impacts deteriorate the networks’ planned infrastructural, operational, economic, and social-economic performances represented by the selected indicators. The indicators of infrastructural performances refer to the physical and operational conditions of the networks’ lines and stations, and supportive facilities and equipment. Those of the operational performances include transport services scheduled along particular routes, their seating capacity, and corresponding transport work/capacity. The indicators of economic performances include the costs of cancelled and long-delayed transport services imposed on the main actors/stakeholder involved—the rail operator(s) and users/passengers. The indicators of social-economic performances reflect the compromised accessibility and consequent prevention of the user/passenger trips and their contribution to the local/regional/national Gross Domestic Product. Modeling resulted in developing a methodology including two sets of analytical models for: (1) assessing the dynamic resilience of a given rail network, i.e., before, during, and after the impacts of disruptive event(s); and (2) estimation of the indicators of particular performances as the figures-of-merit for assessing the network’s resilience under the given conditions. As such, the methodology could be used for estimating the resilience of different topologies of rail passenger networks affected by past, current, and future disruptive events, the latest according to the “what-if” scenario approach and after introducing the appropriate assumptions. The methodology has been applied to a past case—the Japanese Shinkansen HSR network affected by a large-scale disruptive event—the Great East Japan Earthquake on 11 March 2011.

This article deals with an analysis, modeling, and assessing performances of supply chains served by long-distance intercontinental intermodal rail/road- and sea-shipping freight transport corridor(s). For such a purpose, the supply chains are defined and the methodology for assessing their performances under given conditions is developed. The methodology consists of the analytical models of indicators of the operational, economic, environmental and social performances of particular corridors and corresponding supply chains assumed to be dependent on the infrastructural and technical/technological capabilities. The models of particular indicators have been applied according to “what-if” scenario approach to assessing performances of the long-distance intercontinental inland and maritime freight transport corridors spreading between China and Europe in the scope of the “Silk Road Economic Belt” and “A New Maritime Silk Road” policy initiative. The results prove that the intermodal inland rail/road alternative could act as a serious competitive alternative to its maritime deep-sea counterpart under given conditions. Nevertheless, in order to realize the opportunities, large investments in the inland rail/road infrastructure are required to appropriately connect China with Europe.

This paper deals with an assessment of the potential of conventional (oil-kerosene) Jet-A1/8 and alternative synthetic & biomass-derived SPK (Synthetic Paraffinic Kerosene) and LH₂ (Liquid Hydrogen) fuels for "greening" commercial air transportation through reducing its fuel consumption and related direct emissions of GHG (Green House Gases) in the medium- and long-term period of time. For such a purpose, the convenient analytical models for estimating this fuel consumption and corresponding direct emissions of GHG have been developed and applied according to "what-if" scenario approach. The results have shown that: i) Introducing the alternative SPK (F-T&HRJ) fuels fully (i.e., 100% replacement of Jet-A1/8 fuel) would bring only a marginal reduction of the cumulative direct emissions of CO₂. Such reduction would not substantially contribute to achieving the globally agreed targets on reducing GHG emissions; and ii) Introducing the alternative LH₂ fuel would almost immediately bring rather substantive reduction of the cumulative emissions of CO₂. If such introduction started earlier, it would contribute to achieving the globally agreed targets on reducing emissions of GHG during given period.

The air transport system consists of airports, airlines, and air traffic control (ATC). Airports are considered the system infrastructure occupying a certain area of land. This can be roughly divided into (i) the airside area containing runways, taxiways, and the apron-gate complex and (ii) the landside area including passenger and cargo terminals; space, buildings, facilities, and equipment for airport/airline-related activities; as well as the overall infrastructure of the airport ground access systems. Most airports are confronted with challenges such as incompatibility of land use and a lack of free land to expand to accommodate growing demand efficiently, effectively, and safely. To adequately deal with these challenges, an effective and compatible plan of airport land use needs to be developed with components such as (i) the airport design and operational criteria; (ii) requirements for safety of flights and unique land-use provision(s); and (iii) performances of land use. This article deals with analyzing, modeling, and assessing the physical/spatial, operational, economic, social, and environmental performances of land use by airport airside and landside areas. For such a purpose, a convenient methodology based on the indicators and their measures of performances of land use is developed and applied to selected airport cases.

This paper deals with a multidimensional examination of the infrastructural, technical/technological, operational, economic, social, and environmental performances of high-speed rail (HSR) systems, including their overview, analysis of some real-life cases, and limited (analytical) modeling. The infrastructural performances reflect design and geometrical characteristics of the HSR lines and stations. The technical/technological performances relate to the characteristics of rolling stock, i.e., high-speed trains, and supportive facilities and equipment, i.e., the power supply, signaling, and traffic control and management system(s). The operational performances include the capacity and productivity of HSR lines and rolling stock, and quality of services. The economic performances refer to the HSR systems’ costs, revenues, and their relationship. The social performances relate to the impacts of HSR systems on the society such as congestion, noise, and safety, and their externalities, and the effects in terms of contribution to the local and global/country socialeconomic development. Finally, the environmental performances of the HSR systems reflect their energy consumption and related emissions of green house gases, land use, and corresponding externalities.