Multiparametric Analysis of Urban Environmental Quality for Estimating Neighborhood Renewal Alternatives

Abstract

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>

Defining a Digital System for the Pedestrian Network as a Conceptual Implementation Framework

“…It is based on survey research to understand better pedestrians' opinions and demands in terms of physical and social aspects. In this phase, GIS has been an increasingly adopted tool to make spatial analysis, while space syntax has also been used to evaluate the configuration and street connectivity [4,34,35,[52][53][54][55].…”

Construction of 3D Design Model of Urban Public Space Based on ArcGIS Water System Terrain Visualization Data

“…Major League Baseball pioneered the use of spatial analysis and a spatial approach to sports-related problems by using GIS to analyze the distribution of radio station networks for the Kansas City Royals and St. Louis Cardinals baseball games [13]. Kansas City, Missouri, used GIS to centrally manage the data and business of departments at all levels and realized an enterprise-level 3D GIS city-wide connection platform [14].…”

Municipal and Urban Renewal Development Index System: A Data-Driven Digital Analysis Framework

“…Research teams worldwide have initiated studies by combining urban design and policy making with digital technologies. In Israel, a research team has set up a multiparametric framework to analyze urban regeneration quality and present different scenarios of neighborhood renewal alternatives [27]. A process-driven framework for Mediterranean historic city centers has been proposed [28].…”

“…First, urban diversity and social fabrics are complex [46]. Parametric models for urban neighborhoods are relatively small in scale [27,28], and their data sources are limited. Large amounts of data processing work are needed to set up a high-dimensional digital model and accumulate historical data.…”

“…Up until now, such indicators have been relatively simple. The creation and specification of these indicators are often project-specific without systematically analyzing the indicators chosen and their correlations [27,32,47]. Comprehensive digital indicators or index systems with high dimensionalities are needed.…”