Time is the main axis for understanding the functional, economic, and social aspects of self-organized redevelopment. When such processes are intensive and are conducted contemporaneously by large numbers of urban agents on different spatial and temporal scales and as a result of different motivations, urban planning is fragmented into multiple simultaneous and unexpected projects. The post-zoning era in urban planning stemmed from a recognition of this kind of complexity of urban dynamics and the need for a flexible planning system. Web-based geographic information systems (GIS) and planning support systems (PSS) are employed widely as digital tools to support planning practices. Still, the solutions tend to be isolated implementations that do not achieve sophisticated management of the complex temporal-spatial urban dynamics of self-organization. To this end, the article presents a useful set of multidimensional (2D, 3D, and 4D) planning tools that can be implemented by municipal planning departments to improve planning practices with relative ease. This toolbox facilitates the real-time updating of changes to individual buildings and allows all parties to see where delays are occurring, where they are impacting one another, and where environments of accelerated development are evolving in nearby urban plots. Identifying redevelopment clusters enables the formulation of an urban time-based planning policy. Using a spatial-temporal toolbox for planning, we argue, can facilitate recognition of the potential of self-organization as the leading form of contemporary urban planning.

The neighborhood renewal process is an important opportunity to update the built environment; however, major changes to the built environment might decrease spatial performance and environmental quality. In these processes, there is a need to evaluate urban renewal alternatives, especially the quality of the environment, to understand the performance of the newly designed built environment. The quality of the built environment depends on a variety of aspects (such as walkability, energy level, security, open spaces, water permeability, etc.), several of which can be assessed using diverse measurements and evaluation models. Current new technological developments, based on GIS, enable the evaluation of diverse aspects of environmental quality and promote urban renewal decision-making processes. Urban renewal needs to harness these models in the decision-making approaches to improve assessment processes of urban renewal alternative estimations that consider future performance and quality of the built environment. In this article, we present a 3D-GIS multiparametric scenario analysis for neighborhood renewal alternatives estimation to evaluate the performance and quality of the built environment as part of the decision-making process. The multiparametric approach will include an evaluation analysis of several aspects of environmental quality, including walkability, accessibility, sense of security, energy, shade, water infiltration, visibility, and more. The analysis results will indicate the level of performance for each aspect as indices for environmental quality. The multiparametric scenario analysis for neighborhood renewal will be conducted on three renewal alternatives for one neighborhood in the city of Hatzor HaGlilit, Israel.<p>In this article, we present a 3D-GIS multiparametric scenario analysis for neighborhood renewal alternatives estimation to evaluate the performance and quality of the built environment as part of the decision-making process. The multiparametric approach will include evaluation analysis of several aspects of the environmental quality, including walkability, accessibility, sense of security, energy, shade, water infiltration, visibility, and more. The analysis results will indicate the level of performance for each aspect, as indices for environmental quality. The multiparametric scenario analysis for neighborhood renewal will be conducted on three renewal alternatives for one neighborhood in the city of Hatzor-HaGlilit, Israel.</p>

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This research turns the spotlight to the deregulation of once publicly funded affordable housing. Through a microsimulation that follows the conversion from affordable to market-rate units on Roosevelt Island New York, we estimate the expected demographic changes each year between 1976 and 2070. The simulation combines information from the American Community Survey, the island's masterplan, the privatization agreements, and interviews with residents, to produce interactive graphs at three urban scales: the neighborhood, the project, and the building. We found that while the households of market-rate units are gradually becoming younger and more affluent, the households of affordable units are becoming older and more impoverished. Despite an individual agreement for each building, the demographic changes are similar, and that, those changes will affect low-income buildings first. Moreover, upon expiration, 30 percent of the existing protected tenants will be over 65 and at risk of being displaced. The simulation is available at http://ridigitaltwin.pythonanywhere.com/ .