Urban Network Analysis Toolbox for ArcGIS Description
The City Form Lab has unveiled an innovative toolbox designed specifically for analyzing urban networks. This groundbreaking ArcGIS toolbox is the first of its kind, featuring centrality tools that facilitate the computation of five distinct graph analysis measures on spatial networks: reach, gravity, betweenness, closeness, and straightness. Additionally, it includes redundancy tools that calculate the redundancy index, identify redundant paths, and assess the wayfinding index. Notably, these tools boast three key features that enhance their effectiveness for spatial analysis in urban street networks. Firstly, they are capable of considering both geometry and topology within the input networks, allowing for the use of metric distance (such as meters) or topological distance (like turns) as impedance factors during analysis. Secondly, in contrast to earlier software tools that only handle two network elements—nodes and edges—the UNA tools introduce a third element: buildings, which serve as the spatial units for all analytical measures. This comprehensive approach not only improves the accuracy of urban analysis but also provides deeper insights into the relationships within urban environments.
Urban Network Analysis Toolbox for ArcGIS Alternatives
Azore is software for computational fluid dynamics. It analyzes fluid flow and heat transfers. CFD allows engineers and scientists to analyze a wide range of fluid mechanics problems, thermal and chemical problems numerically using a computer. Azore can simulate a wide range of fluid dynamics situations, including air, liquids, gases, and particulate-laden flow. Azore is commonly used to model the flow of liquids through a piping or evaluate water velocity profiles around submerged items. Azore can also analyze the flow of gases or air, such as simulating ambient air velocity profiles as they pass around buildings, or investigating the flow, heat transfer, and mechanical equipment inside a room. Azore CFD is able to simulate virtually any incompressible fluid flow model. This includes problems involving conjugate heat transfer, species transport, and steady-state or transient fluid flows.
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UrbanSim
Facilitate the planning and examination of urban development by analyzing the complex relationships among land use, transportation systems, economic factors, and environmental considerations. Investigate how various infrastructure decisions and policy implementations impact community results, including access for both motorized and non-motorized transport, housing affordability, levels of greenhouse gas emissions, and the preservation of open spaces and ecologically sensitive areas. Rapidly set up and initiate UrbanSim simulations utilizing the advantages of cloud-based technology. Provide actionable insights that are accessible to users, regardless of their technical proficiency. The UrbanSim block-level template is pre-equipped with employment, household, and socioeconomic data for nearly 400 Metropolitan Planning Organizations throughout the United States, alongside street networks sourced from OpenStreetMap to effectively calculate accessibility metrics. This comprehensive approach ensures that urban planners can make informed decisions that support sustainable growth and community well-being.
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GREENPASS
As urbanization continues to expand rapidly across the globe, cities are facing increasing vulnerabilities to climate change. Significant threats to urban development and the well-being of city inhabitants include Urban Heat Islands (UHI), air pollution, and surface water flooding. It is imperative for local governments to implement strategies that address the challenges posed by urban expansion and climate change. GREENPASS serves as a valuable tool for planners, developers, and municipalities, providing guidance for optimal decision-making throughout the various stages of urban planning and development while addressing up to six urban challenges. This innovative platform enables users to visualize, measure, and compare the effects of green infrastructure and other structural interventions on the urban landscape. By offering tailored solutions for every phase of the urban planning process, from initial draft assessments to detailed execution, GREENPASS effectively supports sustainable urban growth. It employs preliminary analyses derived from machine learning database evaluations and standard analyses based on conventional BASIC simulations, ensuring comprehensive insights for planners.
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Company Details
Company:
City Form Lab
Headquarters:
United States
Website:
cityform.mit.edu/projects/urban-network-analysis.html
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Windows
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