Technological development from horse-drawn carriages to the new Airbus A380 has led to a remarkable increase in both the capacity and speed of tourist travel. This development has an endogenous systemic cause and will continue to increase carbon dioxide emissions/energy consumption if left unchecked. Another stream of technological research and development aims at reducing pollution and will reduce emissions per passenger-kilometer, but suffers from several rebound effects. The final impact on energy consumption depends on the strength of the positive and negative feedback in the technology system of tourism transport. However, as the core tourism industry including tour operators, travel agencies, and, accommodation has a strong link with air transport, it is unlikely that technological development without strong social and political control will result in delivering the emission reductions required for avoiding dangerous climate change.
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The aim of this research/project is to investigate and analyze the opportunities and challenges of implementing AI technologies in general and in the transport and logistics sectors. Also, the potential impacts of AI at sectoral, regional, and societal scales that can be identified and chan- neled, in the field of transport and logistics sectors, are investigated. Special attention will be given to the importance and significance of AI adoption in the development of sustainable transport and logistics activities using intelligent and autonomous transport and cleaner transport modalities. The emphasis here is therefore on the pursuit of ‘zero emissions’ in transport and logistics at the urban/city and regional levels.Another goal of this study is to examine a new path for follow-up research topics related to the economic and societal impacts of AI technology and the adoption of AI systems at organizational and sectoral levels.This report is based on an exploratory/descriptive analysis and focuses mainly on the examination of existing literature and (empirical) scientific research publica- tions, previous and ongoing AI initiatives and projects (use cases), policy documents, etc., especially in the fields of transport and logistics in the Netherlands. It presents and discusses many aspects of existing challenges and opportunities that face organizations, activities, and individuals when adopting AI technology and systems.
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The project X-TEAM D2D (Extended ATM for Door-to-Door Travel) has been funded by SESAR JU in 2020 and completed its activities in 2022, pursuing and accomplishing the definition, development and initial assessment of a Concept of Operations (ConOps) for the seamless integration of ATM and air transport into an overall intermodal network, including other available transportation means (surface, water), to support the door-to-door connectivity, in up to 4 hours, between any location in Europe. The project addressed the ATM and air transport, including Urban Air Mobility (UAM), integration in the overall transport network serving urban and extended urban (up to regional level) mobility, specifically identifying and considering the transportation and passengers service scenarios expected for the near, medium and long-term future, i.e. for the project baseline (2025), intermediate (2035) and final (2050) time horizons. In this paper, the main outcomes from the project activities are summarized, with particular emphasis on the studies about the definition of future scenarios and use cases for the integration of the vertical transport with the surface transport towards integrated intermodal transport system and about identification of the barriers towards this goal. In addition, an outline is provided on the specific ConOps for the integration of ATM in intermodal transport infrastructure (i.e. the part of the overall ConOps devoted to integration of different transportation means) and on the specific ConOps for the integration of ATM in intermodal service to passengers (i.e. the specific component of the ConOps devoted to design of a unique service to passengers). Finally, the main outcomes are summarized from the validation of the proposed ConOps through dedicated simulations.
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National forestry Commission (SBB) and National Park De Biesbosch. Subcontractor through NRITNational parks with large flows of visitors have to manage these flows carefully. Methods of data collection and analysis can be of help to support decision making. The case of the Biesbosch National Park is used to find innovative ways to figure flows of yachts, being the most important component of water traffic, and to create a model that allows the estimation of changes in yachting patterns resulting from policy measures. Recent policies oriented at building additional waterways, nature development areas and recreational concentrations in the park to manage the demands of recreation and nature conservation offer a good opportunity to apply this model. With a geographical information system (GIS), data obtained from aerial photographs and satellite images can be analyzed. The method of space syntax is used to determine and visualize characteristics of the network of leisure routes in the park and to evaluate impacts resulting from expected changes in the network that accompany the restructuring of waterways.
In 2021, Citython editions were held for the European cities of Eindhoven (Netherlands), Bilbao and Barcelona (Spain), Hamburg (Germany), and Lublin (Poland). Within this project, BUAS contributed to the organization of CITYTHON Eindhoven in cooperation with CARNET (an initiative by CIT UPC) and City of Eindhoven – an event which gives young talent the opportunity to work with mentors and experts for the development of innovative urban solutions. Participants of CITYTHON Eindhoven worked on three challenges:- Traffic safety in school zones - Travel to the campus- Make the city healthy The event took place between 18 May and 2 June 2021 with various experts, for example from ASML, City of Eindhoven and University of Amsterdam, giving inspirational talks and mentoring students throughout the ideation and solutions development process. The teams presented their solutions during the Dutch Technology Week and the winners were announced by Monique List-de Roos (Alderman Mobility and Transport, City of Eindhoven) on 2 June 2021. The role of BUAS within this project was to assist City of Eindhoven with the development of the challenges to be tackled by the participating teams, and find relevant speakers and mentors who would be supporting the students for the development of their solutions and jury members who would determine the winning teams. The project ended with a round table “Green and Safe Mobility for all: 5 Smart City(thon) Case studies” on November 17 organized as part of Smart City Expo World Congress 2021 in Barcelona. This project is funded by EIT Urban Mobility, an initiative of the European Institute of Innovation and Technology (EIT), a body of the European Union. EIT Urban Mobility acts to accelerate positive change on mobility to make urban spaces more livable. Learn more: eiturbanmobility.eu.Collaborating partnersCARNET (Lead organisation); Barcelona Institute of Technology for Habitat; Barcelona City Council; Bilbao City Hall; City of Hamburg; City of Eindhoven,; City of Lublin; Digital Hub Logistics Hamburg; Technical University of Catalonia, Tecnalia; UPC Technology Center.
Over the last couple of years there is a growing interest in the role of the bicycle in Western urban transport systems as an alternative to car use. Cycling not only has positive environmental impacts, but also positive health effects through increased physical activity. From the observation of the Urban Intelligence team that cycling data and information was limited, we have started the development of cycleprint. Cycleprint stands for Cycle Policy Renewal and INnovation by means of tracking Technology with the objective to enable more customer friendly cycle policy.The initial objective of Cycleprint was to translate GPS data into policy relevant insights to enable customer friendly cycle policy. The online toolkit what Cycleprint has become, answers the questions about:-route choice-speeds-delays at intersections -intensities Because of the success of Cycleprint in the Netherlands the range of features is still under development. As a result of the development of Cycleprint the Dutch organized the fietstelweek. In addition to Cycleprint the Urban Intelligence team developed the cyclescan to explore the effects of cycle network enhancement. The project is developed in direct collaboration with the Provincie Noord-Brabant and Metropoolregio Eindhoven to fulfill the ambition to become cycling region of the Netherlands in 2020.
Lectorate, part of NHL Stenden Hogeschool
