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The purpose of this paper is to provide local environmental information to raise community’s environmental awareness, as a cornerstone to improve the quality of the built environment. Next to that, it provides environmental information to professionals and academia in the fields of urbanism and urban microclimate, making it available for reuse.

The wireless sensor network (WSN) consists of sensor platforms deployed at fixed locations in the urban environment, measuring temperature, humidity, noise and air quality. Measurements are transferred to a server via long range wide area network (LoRaWAN). Data are also processed and publicly disseminated via the server. The WSN is made interactive as to increase user involvement, i.e. people who pass by a physical sensor in the city can interact with the sensor platform and request specific environmental data in near real time.

Microclimate phenomena such as temperature, humidity and air quality can be successfully measured with a WSN. Noise measurements are less suitable to send over LoRaWAN due to high temporal variations.

Further testing and development of the sensor modules is needed to ensure consistent measurements and data quality.

Due to time and budget limitations for the project group, it was not possible to gather reliable data for noise and air quality. Therefore, conclusions on the effect of the measurements on the built environment cannot currently be drawn.

An autonomously working low-cost low-energy WSN gathering near real-time environmental data is successfully deployed. Ensuring data quality of the measurement results is subject for upcoming research.

Over one million individuals diagnosed with autism spectrum disorder (ASD) will be entering adulthood and attempting to cultivate fulfilling, meaningful life experiences. These young adults with ASD represent Generation A. The workplace will be a major element in cultivating fulfilling lives for Generation A. Social interaction is an integral component for functioning within most postsecondary and occupational settings. It is necessary to understand the interaction between autistic adults and organizations to understand potential social and behavioral deficits. The workplace is inherently a social place. Understanding both formal and informal social information in the workplace may be critical to successful job performance. Fit, particularly person–organization fit, is used to address this social nature of the workplace. Understanding this interaction helps provide a means for crafting both individual and organizational interventions which support autistic adults in the workplace. This chapter provides an analysis of interventions that support those with ASD in the workplace. It is proposed that these interventions will help create a more supportive work environment for those with ASD. As important, it is proposed that the accommodations for those with ASD are reasonable for any organization seeking to improve both satisfaction and performance for all its employees. By addressing these issues, organizations have the potential to create a more satisfying workplace for all workers, not just those in Generation A.

The purpose of this paper is to apply a numerical simulation of stochastic processes to the problem of real estate investment appraisal.

These uncertain operating costs are integrated into an enhanced dynamic simulation. To model the dynamics in the uncertainty of the cost schedule, a range of different types of stochastic processes is used. The operating costs are classified by cost drivers and an appropriate stochastic process is determined for each of the derived cost clusters. To optimise the capital structure in this application, heuristic optimisation with genetic algorithms is used.

The application of the model to real world investment situations shows that linear and deterministic modelling underestimates the risk‐generating effect of uncertain operating expenses, which often can lead to inefficient investment decisions.

In a further application of the model, the authors demonstrate the effect of uncertain operating costs on the optimal capital structure of real estate investments.

In contrast to models in the literature that are usually focussed on the income side, here the focus is on the uncertain dynamics of real estate operating costs as a key factor affecting return.