In urban planning, a common unit of measure for housing density is the number of households per hectare. However, the actual size of the physical space occupied by a household, i.e., a dwelling, is seldom considered, neither in 2D nor in 3D. This article proposes a methodology to estimate the average size of a dwelling in existing urban areas from available open data, and to use it as one of the design parameters for new urban-development projects. The proposed unit of measure, called “living space”, includes outdoor and indoor spaces. The idea is to quantitatively analyze the city of today to help design the city of tomorrow. First, the “typical”-dwelling size and a series of Key Performance Indicators are computed for all neighborhoods from a semantic 3D city model and other spatial and non-spatial datasets. A limited number of neighborhoods is selected based on their similarities with the envisioned development plan. The size of the living space of the selected neighborhoods is successively used as a design parameter to support the computer-assisted generation of several design proposals. Each proposal can be exported, shared, and visualized online. As a test case, a to-be-planned neighborhood in Amsterdam, called “Sloterdijk One”, has been chosen.
Waste management is an important issue all over the world and it will become even more urgent in the near future due to the increase of global volumes of waste. Waste prevention is at the top of the European waste hierarchy, followed by reuse, recycling, other recovery (including energy recovery), and safe disposal. In Italy, municipalities are the authorities that concretely choose the prevention actions to be applied in their territory and therefore they are crucial in promoting a decrease in waste amounts. In our research we investigated costs and benefits of prevention actions in three small municipalities in the north of Italy. We found that the "Pay as You Throw" (PAYT) scheme is an effective action in preventing waste production, with many instances, on analyzing the collection data. The specific effect of the other actions (such as the awareness raising campaigns) is difficult to isolate, even if we found positive impacts. We analyzed some external drivers, such as the migration effect, in order to understand the real effectiveness of the implemented actions. One of the objectives of the study was to comprehend the consequences of political choices at a bigger scale than the individual municipality. Analyzing the results obtained in three typical small Italian municipalities, this study suggests that local authorities, with their choices, can greatly affect the efficacy of selected waste collection and waste prevention.
<p><strong>Abstract.</strong> In urban planning, a common unit of measurement for population density is the number of households per hectare. However, the actual size of the households is seldom considered, neither in 2D nor in 3D. This paper proposes a method to calculate the average size of the household in existing urban areas from available open data and to use it as a design parameter for new urban development. The proposed unit of measurement includes outdoor and indoor spaces, the latter comprising both residential and non-residential spaces. As a test case, a to-be-planned neighbourhood in Amsterdam, called Sloterdijk One, was chosen. First, the sizes of “typical” households, as well as a series of KPIs, were computed in existing neighbourhoods of Amsterdam, based on their similarities with the envisioned Sloterdijk One plan. Successively, the resulting size of the household was used as a design parameter in a custom-made tool to generate semi-automatically several design proposals for Sloterdijk One. Additionally, each proposal can be exported as a CityGML model and visualised using web-based virtual globes, too. Significant differences among the resulting proposals based on this new unit of measurement were encountered, meaning that the average size of a household plays indeed a major role.</p>
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