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Crime in neighbourhoods has a significant impact on the quality of life and safety of the residents. There are theories that suggest the relation between the built environment characteristics and the occurrence of crime. These theories suggest that designing the built environment in a particular way could reduce the number of criminal activities, the fear of crime and the victimisation of residents and legitimate users of the area. However, there is little empirical research on this topic. In recent years, the amount of open and spatial data has increased which enables to test these theories empirically. This current study aims to understand the influence better of built environment characteristics on the amount of crime in the neighbourhoods in Amsterdam by using open and spatial data. In this study, firstly existing theories on the relation between crime and built environment characteristics (i.e. land use, street layout, the existence of parking amenities, the existence of greenspace, the existence of street lighting) were discussed. Later, the influence of selected built environment characteristics on the amount of crime in Amsterdam neighbourhoods was empirically tested. Data regarding crimes was obtained from the Dutch police department. It provides crime rates per crime type (burglary, vandalism, violent crimes, drugs and nuisance, and theft) and per neighbourhood. The data regarding built environment characteristics were gathered from Open Street Map and Amsterdam open data, and they were processed for further analysis. In order to look into the relation between the occurrence of crime in neighbourhoods of Amsterdam and the built environment characteristics, firstly an exploratory regression analysis was performed on the different crime types, and then a geographically weighted regression analysis was conducted to identify local variations. The results show that different types of crime were influenced by different characteristics of the built environment. Moreover, variations in the neighbourhoods were observed. One of the findings of this research is that tourist attractions strongly correlate with the amount of crime. Another interesting finding is that mixed land‐use is negatively correlated with the amount of crime. In general, it can be concluded that the built environment does have an influence on the occurrence of crime and that this influence differs among crime types. Moreover, different characteristics of the built environment influence different types of crime. The results of this study provide insights for policy recommendations both for necessary data and urban design with respect to crime prevention., Mobility, Knowledge and Innovation Hubs in Urban and Regional Development. Proceedings of REAL CORP 2022, 27th International Conference on Urban Development and Regional Planning in the Information Society, 805-819

As de-industrialisation has left factories vacant and urban living is gaining popularity, redeveloping a former industrial area offers cities a unique residential environment. In order to get insights in the motives of people moving to these areas, this research has studied residents of case study area Strijp-S, their motives of moving there and their lifestyles. Former Philips territory Strijp-S has already been partly redeveloped into a mixed-use creative and culture district and this has been successful as is has been awarded a prestigious prize (NRP Gulden Feniks, 2013) and has become a popular place to live. This study collected data from the residents of Strijp-S. The results of the data collection showed that the main group of Strijp-S residents are young, highly educated singles and couples. Furthermore, a large group moved to this neighborhood from their parental or student homes and thus can be considered as 'starters'. Based upon the activity pattern items from Frenkel, Bendit and Kaplan (2012), four types of lifestyles were discovered: Mellow Morgan, Enthusiastic Elliott, Racing Riley and Sporty Sam. While culture was one of the factors, the lifestyles found in this research mainly distinguished themselves by their attitude towards sport and work. Finally, when examining the motivation of people to move to Strijp-S, it is remarkable how many of the respondents (around 70%) looked for dwellings only in this neighbourhood. In particular, the distance to the city centre and the image of Strijp-S as a creative neighborhood were mentioned to be of importance. Furthermore, residents with a Racing Riley lifestyle and part-time workers tend to choose this neighbourhood for its characteristics and focus less on the dwelling characteristics. So where some studies tend to focus on dwelling characteristics, this research shows that environmental characteristics including the activity types should be taken into account when redeveloping an industrial heritage area. Furthermore, the marketing of the area is important, as the image of Strijp-S as a neighbourhood was often mentioned to be of importance when choosing to move there., IS THIS THE REAL WORLD? Perfect Smart Cities vs. Real Emotional Cities. Proceedings of REAL CORP 2019, 24th International Conference on Urban Development and Regional Planning in the Information Society, 483-492

The demand for energy in the world is continually rising. The local prosumer communities can be wellplaced to identify local energy needs, establish and support initiatives to reduce the energy demand. This paper aims to understand people’s willingness to participate in a prosumer community and the influential factors based on socio-demographic characteristics and attitudes. For that purpose, a stated choice experiment is designed to measure the preferences of Dutch citizens to participate in a prosumer community. In this research, two alternatives are presented to the respondents: own initiative and outsourcing of energy efficient implementations. In addition to the stated choice experiment, environmental statements were given to the respondents to assess their environmental attitudes. As a result of the data collection, 184 respondenses are obtained. A latent class model is used to analyse the data and rho-square is found to be 0.264. According to the results, two groups can be identified respectively as enthousiasts and conservatives with regard to willingness to participate in a prosumer community. In terms of socio-demographics and attitudes, there are statistically significant differences between the groups. These results are found to be useful to promote bottom-up initiatives and to suggest policies in order to form prosumer communities in local territories.