Waste collection is an important volume in city logistics today. In the LEVV-LOGIC project the Amsterdam University of Applied Sciences (NL) performed research on waste and the potential use of light commercial vehicles for waste collection in cities.
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The growth in urban population and economic upturnis leading to higher demand for construction, repairand renovation works in cities. Houses, public utilities,retail spaces, offices and infrastructure need toadapt to cope with the increasing number of residentsand visitors, urban functions and changing standards.Construction projects contribute to more attractive,sustainable and economically viable urban areas oncethey are finished. However, transport activities relatedto construction works have negative impacts on thesurrounding community if not handled appropriately.It is estimated that 15 to 20 percent of heavy goodsvehicles in cities are related to construction, and 30to 40 percent of light commercial vans [1]. In the citiesstudied in the CIVIC project, construction-relatedtransport was found to be one of the biggest challengesto improving sustainability. Smarter, cleaner and saferconstruction logistics solutions in urban areas areneeded for environmental, societal and economicreasons. However, in many European cities and metropolitanareas the sense of urgency is not evident or alack of knowledge is creating passivity.
Distribution centres are becoming more and more relevant for spatial planning, due to their rapidly increasing size and number. There is little literature, however, that provides a generalized analysis of the size and functional attributes of distribution centres, and none that discusses the relationships between these attributes. Our aim is to fill this gap by providing new evidence and analysis to understand this relationship. We make use of an extensive database of 2888 DCs in the Netherlands to develop a new typology of DCs based on the geographical location of DCs, their functional attributes and client sector characteristics. The analysis shows that the context in which medium sized DCs are operating is more heterogeneous than in the case of very large and small size DCs. This study is a first attempt to analyse this relationship between facility size and functions based on a rich and extensive dataset of large population of DCs. The results can serve as input for further quantitative statistical analysis and international comparison.
The IMPULS-2020 project DIGIREAL (BUas, 2021) aims to significantly strengthen BUAS’ Research and Development (R&D) on Digital Realities for the benefit of innovation in our sectoral industries. The project will furthermore help BUas to position itself in the emerging innovation ecosystems on Human Interaction, AI and Interactive Technologies. The pandemic has had a tremendous negative impact on BUas industrial sectors of research: Tourism, Leisure and Events, Hospitality and Facility, Built Environment and Logistics. Our partner industries are in great need of innovative responses to the crises. Data, AI combined with Interactive and Immersive Technologies (Games, VR/AR) can provide a partial solution, in line with the key-enabling technologies of the Smart Industry agenda. DIGIREAL builds upon our well-established expertise and capacity in entertainment and serious games and digital media (VR/AR). It furthermore strengthens our initial plans to venture into Data and Applied AI. Digital Realities offer great opportunities for sectoral industry research and innovation, such as experience measurement in Leisure and Hospitality, data-driven decision-making for (sustainable) tourism, geo-data simulations for Logistics and Digital Twins for Spatial Planning. Although BUas already has successful R&D projects in these areas, the synergy can and should significantly be improved. We propose a coherent one-year Impuls funded package to develop (in 2021): 1. A multi-year R&D program on Digital Realities, that leads to, 2. Strategic R&D proposals, in particular a SPRONG/sleuteltechnologie proposal; 3. Partnerships in the regional and national innovation ecosystem, in particular Mind Labs and Data Development Lab (DDL); 4. A shared Digital Realities Lab infrastructure, in particular hardware/software/peopleware for Augmented and Mixed Reality; 5. Leadership, support and operational capacity to achieve and support the above. The proposal presents a work program and management structure, with external partners in an advisory role.
