This study explored associations between perceived neighborhood walkability and neighborhood-based physical activity (NB-PA) and assessed possible moderation effects of the amount of time spent in the home neighborhood and individual characteristics (i.e., educational level and health-related problems). In 2016 to 2017, 509 Dutch adults, living in the South Limburg area, were included. Context-specific PA levels were measured using the Actigraph GT3X+ accelerometer and the Qstarz BTQ1000XT GPS-logger. Perceived neighborhood walkability, level of education, work status, and health-related quality of life were measured with validated self-report instruments. Results showed that individuals with a lower level of education or health-related problems spent more time in the home neighborhood. The perceived neighborhood walkability only affected NB-PA for individuals spending a relatively large amount of time in their home neighborhood. PA-facilitating features in the home neighborhood, for example, aesthetics, were only associated with more NB-PA for individuals without health-related problems or with a higher level of education.
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Neighborhood image processing operations on Field Programmable Gate Array (FPGA) are considered as memory intensive operations. A large memory bandwidth is required to transfer the required pixel data from external memory to the processing unit. On-chip image buffers are employed to reduce this data transfer rate. Conventional image buffers, implemented either by using FPGA logic resources or embedded memories are resource inefficient. They exhaust the limited FPGA resources quickly. Consequently, hardware implementation of neighborhood operations becomes expensive, and integrating them in resource constrained devices becomes unfeasible. This paper presents a resource efficient FPGA based on-chip buffer architecture. The proposed architecture utilizes full capacity of a single Xilinx BlockRAM (BRAM36 primitive) for storing multiple rows of input image. To get multiple pixels/clock in a user defined scan order, an efficient duty-cycle based memory accessing technique is coupled with a customized addressing circuitry. This accessing technique exploits switching capabilities of BRAM to read 4 pixels in a single clock cycle without degrading system frequency. The addressing circuitry provides multiple pixels/clock in any user defined scan order to implement a wide range of neighborhood operations. With the saving of 83% BRAM resources, the buffer architecture operates at 278 MHz on Xilinx Artix-7 FPGA with an efficiency of 1.3 clock/pixel. It is thus capable to fulfill real time image processing requirements for HD image resolution (1080 × 1920) @103 fcps.
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Citizen science has demonstrated potential to foster local changes in public health, including physical (in)activity. We used community-engaged citizen science to explore how to improve the exercise-friendliness of a Dutch neighborhood, chosen because it scored below average on important health parameters.We followed the steps of design thinking and employed the Our Voice citizen science method to find out how community members perceived exercise-friendliness in their neighborhood. Members participated in technology-enabled “discovery” walks using the multi-lingual Stanford Neighborhood Discovery Tool mobile application. Positive, negative, and dual features in the neighborhood were captured. During a researcher-facilitated process, citizen scientists analyzed their data together, leading to overarching themes reflecting resident needs and desires. These themes served as the basis for developing a walking route throughout the neighborhood. Several initial walking route prototypes were developed and tested by citizen scientists, resulting in a final route design that was realized in collaboration with local government officials. Citizen scientists were interviewed and asked about their engagement with and sense of agency throughout the research process. They reported commitment to the project and their neighborhood, and a desire to contribute to society. They also reported increased agency in contributing to neighborhood impacts.This project showed that citizen science “by the people” is a powerful way to engage people with projects in their own neighborhoods. It provided local perspectives on the neighborhood, which led to actual changes in the environment
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Due to societal developments, like the introduction of the ‘civil society’, policy stimulating longer living at home and the separation of housing and care, the housing situation of older citizens is a relevant and pressing issue for housing-, governance- and care organizations. The current situation of living with care already benefits from technological advancement. The wide application of technology especially in care homes brings the emergence of a new source of information that becomes invaluable in order to understand how the smart urban environment affects the health of older people. The goal of this proposal is to develop an approach for designing smart neighborhoods, in order to assist and engage older adults living there. This approach will be applied to a neighborhood in Aalst-Waalre which will be developed into a living lab. The research will involve: (1) Insight into social-spatial factors underlying a smart neighborhood; (2) Identifying governance and organizational context; (3) Identifying needs and preferences of the (future) inhabitant; (4) Matching needs & preferences to potential socio-techno-spatial solutions. A mixed methods approach fusing quantitative and qualitative methods towards understanding the impacts of smart environment will be investigated. After 12 months, employing several concepts of urban computing, such as pattern recognition and predictive modelling , using the focus groups from the different organizations as well as primary end-users, and exploring how physiological data can be embedded in data-driven strategies for the enhancement of active ageing in this neighborhood will result in design solutions and strategies for a more care-friendly neighborhood.
In Amsterdam's neighbourhoods, much of the waste that is disposed has the potential of becoming something else by means of recycling or upcycling. Zero Waste lab –which is part of the organization De Gezonde Stad- is a place where inhabitants can bring their own separated waste in exchange for value coins. Now, Zero Waste Lab now wants to take this a step forward and further develop their own project: from recycling to upcycling waste. In this endeavour, HvA will collaborate by researching the possibilities for upcycling a local waste stream by means of digital production pro-cesses, as well as ways of involving the neighbourhood. Because it is of vital importance for the project not only to be technically possible, but also scalable and economically feasible, Zero Waste Lab and HvA have asked for partnership to the company Verdraaid Goed. This partnership and specific case study, presented here as ‘Wood for the neighborhood’ can be summa-rized in four main goals: • (Production) Explore the design and manufacturing possibilities of using digital production to upcycle a local wood waste stream (with an industrial robotic arm) • (Design) Show how explorative research, when carried on from the beginning of the de-sign process, can bring great added value to the development of project concepts. • (Social) Demonstrate that involving stakeholders early in the process of reusing and de-signing with waste materials can shape the future in new directions • (All three) Highlight how this case study is relevant and fits the principles of the circular economy
In Amsterdam's neighbourhoods, much of the waste that is disposed has the potential of becoming something else by means of recycling or upcycling. Zero Waste lab –which is part of the organization De Gezonde Stad- is a place where inhabitants can bring their own separated waste in exchange for value coins. Now, Zero Waste Lab now wants to take this a step forward and further develop their own project: from recycling to upcycling waste. In this endeavour, HvA will collaborate by researching the possibilities for upcycling a local waste stream by means of digital production pro-cesses, as well as ways of involving the neighbourhood. Because it is of vital importance for the project not only to be technically possible, but also scalable and economically feasible, Zero Waste Lab and HvA have asked for partnership to the company Verdraaid Goed. This partnership and specific case study, presented here as ‘Wood for the neighborhood’ can be summa-rized in four main goals: • (Production) Explore the design and manufacturing possibilities of using digital production to upcycle a local wood waste stream (with an industrial robotic arm) • (Design) Show how explorative research, when carried on from the beginning of the de-sign process, can bring great added value to the development of project concepts. • (Social) Demonstrate that involving stakeholders early in the process of reusing and de-signing with waste materials can shape the future in new directions • (All three) Highlight how this case study is relevant and fits the principles of the circular economy
