In this paper we present WILLEM, a system for dynamic evacuation routing in buildings, using a wireless sensor network. Dynamic evacuation routing is the process of dynamically determining the fastest routes to the exits. The routes may be changed in case a fire occurs somewhere. We also present an algorithm for detecting congestions in corridors during evacuation, and a means of providing the people in those congestions an alternative route towards the exit. Each phase of the method is descibed extensively: the deployment of the wireless sensor network, the automatic topology learning of the network and the actual evacuation routing methods. We have built a simulation framework in which all types of evacuation routing can be simulated. The results of our experiments were surprising in the sense that dynamic evacuation routing turned out not to be faster than static evacuation routing in every setup; however, we did find out why this is the case. We also performed some experiments on a real wireless sensor network, in order to find out if our automatic configuration method could work in real life. The results are promising. We also present an algorithm for mapping the learned topology of the wireless sensor network upon a virtual map. This way, the network topology can be visualised -which is an important feature for emergency services.

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Actors' toolset to affect institutional change by doing institutional design is limited because criteria for effective institutional design are often too general and abstract. This paper aims to identify institutional design strategies and explore how they influence institutional change. The theoretical framework builds on Ostrom's Institutional Analysis and Development framework to map institutional change, and it identifies six institutional design strategies: framing, puzzling, powering, network composition, network outcomes, and network interaction. A comparative case study on Dutch infrastructure renewal opportunitiesone case's institutional design interventions attained collective renewal, the other did notmaps institutional change in decision-making rounds through institutional directions. Key findings include that institutional change of position, boundary, choice, and information rules first is conducive to collective action. Moreover, mimicry of especially choice rules is pivotal. Furthermore, institutional design strategies have a configurational nature: microlevel strategies have mesolevel consequences, and some configurations

Road infrastructure plays an important role in the economic and social development of societies. Thus, it requires effective and timely responses to cope with and embrace uncertain future changes. This study proposes an integrated, scenario-based strategic model which estimates transport demand, network performance, emission, and energy consumption. The model accounts for future economic, behavioral, policy, and technological developments by including four future scenarios and traces the possible changes in transport infrastructure performance. It primarily aims at supporting infrastructure decisions by quantifying a set of network and environmental performance indicators along their spatial–temporal dimension. Moreover, the effects of transport demand and energy transition policies on road performance are considered within each scenario. This model is applied in a case study region covering the main industrial and urban regions of the Netherlands. The discussed results provide insights into the possible infrastructure investments within each scenario and elaborate on the possible effects of policies.