From a circular standpoint it is interesting to reuse as much as possible construction and demolition waste (CDW) into new building projects. In most cases CDW will not be directly reusable and will need to be processed and stored first. In order to turn this into a successful business case CDW will need to be reused on a large scale. In this paper we present the concept of a centralized and coordinated location in the City of Utrecht where construction and demolition waste is collected, sorted, worked, stored for reuse, or shipped elsewhere for further processing in renewed materials. This has expected advantages for the amount of material reuse, financial advantages for firms and clients, generating employability in the logistics and processing of materials, optimizing the transport and distribution of materials through the city, and thus the reduction of emissions and congestion. In the paper we explore the local facility of a Circular Hub, and the potential effects on circular reuse, and other effects within the City of Utrecht.
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Passenger flow management is an important issue at many airports around the world. There are high concentrations of passengers arriving and leaving the airport in waves of large volumes in short periods, particularly in big hubs. This might cause congestion in some locations depending on the layout of the terminal building. With a combination of real airport data, as well as synthetic data obtained through an airport simulator, a Long Short-Term Memory Recurrent Neural Network has been implemented to predict the possible trajectories that passengers may travel within the airport depending on user-defined passenger profiles. The aim of this research is to improve passenger flow predictability and situational awareness to make a more efficient use of the airport, that could also positively impact communication with public and private land transport operators.
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Passenger flow management is an important issue at many airports around the world. There are high concentrations of passengers arriving and leaving the airport in waves of large volumes in short periods, particularly in big hubs. This might cause congestion in some locations depending on the layout of the terminal building. With a combination of real airport data, as well as synthetic data obtained through an airport simulator, a Long Short-Term Memory Recurrent Neural Network has been implemented to predict the possible trajectories that passengers may travel within the airport depending on user-defined passenger profiles. The aim of this research is to improve passenger flow predictability and situational awareness to make a more efficient use of the airport, that could also positively impact communication with public and private land transport operators.
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ICT in intelligente voertuigen levert innovatieve systemen op. Deze innovatieve systemen richten zich op maatschappelijke knelpunten (verkeersveiligheid, milieubelasting en congestie) en consumenten waarde. Recent wordt meer nadruk gelegd op maatschappelijke knelpunten. Vijf (5) a tien (10) jaar geleden werd de nadruk gelegd op het creëren van consumenten waarde. Deze innovatieve systemen moeten wel geaccepteerd worden door de eindgebruikers. Er is nog maar beperkt onderzoek gedaan naar acceptatie van veiligheidssystemen in intelligente voertuigen. Uit literatuuronderzoek komt naar voren dat verschillende vormen van acceptatie gehanteerd worden. Tevens blijkt dat veel onderzoekers spreken over acceptatie maar de acceptatie niet (kunnen) meten. Om inzicht te krijgen in het gedrag en beleving van bestuurders wordt in dit onderzoek voorgesteld om de evolutie van de cruise control (CC) naar adaptive cruise control (ACC) en naar cooperative adaptive cruise control (C-ACC) te gebruiken om acceptatie te voorspellen en te beoordelen. Er zijn bijzonder veel acceptatiemodellen en theorieën. Deze worden in de praktijk veelvuldig gebruikt binnen de Informatie en Communicatie Technologie (ICT). In deze paper wordt een route uitgezet voor het opzetten van een onderzoek waarbij gebruik gemaakt wordt van het UTAUT-acceptatiemodel. Dit onderzoek moet uitwijzen welke criteria de acceptatie beïnvloeden.
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Summary Project objectives This study fits into a larger research project on logistics collaboration and outsourcing decisions. The final objective of this larger project is to analyze the logistics collaboration decision in more detail to identify thresholds in these decisions. To reach the overall objectives, the first step is to get a clearer picture on the chemical and logistics service providers industry, sectors of our study, and on logistics collaboration in these sectors. The results of this first phase are presented in this report. Project Approach The study consists of two parts: literature review and five case studies within the chemical industry. The literature covers three topics: logistics collaboration, logistics outsourcing and purchasing of logistics services. The five case studies are used to refine the theoretical findings of the literature review. Conclusions Main observations during the case studies can be summarized as follows: Most analyzed collaborative relationships between shippers and logistics service providers in the chemical industry are still focused on operational execution of logistics activities with a short term horizon. Supply management design and control are often retained by the shippers. Despite the time and cost intensive character of a logistics service buying process, shippers tendering on a very regular basis. The decision to start a new tender project should more often be based on an integral approach that includes all tender related costs. A lower frequency of tendering could create more stability in supply chains. Beside, it will give both, shippers and LSPs, the possibility to improve the quality of the remaining projects. Price is still a dominating decision criterion in selecting a LSP. This is not an issue as long as the comparison of costs is based on an integral approach, and when shippers balance the cost criterion within their total set of criteria for sourcing logistics services. At the shippers' side there is an increased awareness of the need of more solid collaboration with logistics service providers. Nevertheless, in many cases this increased awareness does not actually result in the required actions to establish more intensive collaboration. Over the last years the logistics service providers industry was characterized by low profit margins, strong fragmentation and price competition. Nowadays, the market for LSPs is changing, because of an increasing demand for logistics services. To benefit from this situation a more pro-active role of the service providers is required in building stronger relationships with their customers. They should pay more attention on mid and long term possibilities in a collaborative relation, in stead of only be focused on running the daily operation.
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Despite the efforts of governments and firms, the construction industry is trailing other industries in labour productivity. Construction companies are interested in increasing their labour productivity, particularly when demand grows and construction firms cope with labour shortages. Off-site construction has proved to be a favourable policy to increase labour productivity. However, a complete understanding of the factors affecting construction labour productivity is lacking, and it is unclear which factors are influenced by off-site construction. This study developed a conceptual model describing how 15 factors influence the construction process and make a difference in labour productivity between off-site and on-site construction. The conceptual model shows that all 15 factors affect labour productivity in three ways: through direct effects, indirect effects and causal loops. The model is a starting point for further research to determine the impact of off-site construction on labour productivity.
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The aim of this QSR 2022 on tourism is to make an attempt to assess available information about the tourism industry from three countries and various sources and present it in a comprehensive manner. We, thereby, describe common features of regional tourism structures, as well as differences, and we present some of the identified data incompatibilities (sections 2.2 and 2.3). The recommendations in section 3 present avenues along which data collection and monitoring can be improved, inspired by a set of key forces driving change intourism that stakeholders should be prepared for (section 2.4).
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• DC grid structure • Control • Switching • Protection • Stability
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