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Related Concept Videos

Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

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The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
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In the past, planning projects such as schools or public facilities required extensive manual effort to gather and compile data. Information such as property boundaries, soil characteristics, road networks, zoning regulations, and flood zones had to be sourced individually from courthouses, utility providers, and registry offices. Assembling these datasets into a coherent format often took several months, delaying project timelines.The introduction of Geographic Information Systems (GIS)...
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Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
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As the construction industry moves towards more eco-friendly practices, concrete's adaptability and its ability to incorporate sustainable features make it a key material in the drive towards greener building solutions.
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GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
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Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
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Related Experiment Video

Updated: Dec 11, 2025

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
10:39

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Leveling the Landscape: Landscape Performance as a Green Infrastructure Evaluation Tool for Service-Learning

Marccus D Hendricks1, Galen Newman2, Siyu Yu2

  • 1School of Architecture, Planning, and Preservation, University of Maryland in College Park, College Park, MD.

Landscape Journal
|August 25, 2020
PubMed
Summary
This summary is machine-generated.

This study shows how landscape performance models can assess the feasibility of community redevelopment plans after disasters. These models help vulnerable communities evaluate resilience strategies objectively.

Keywords:
Social vulnerabilityenvironmental justiceresiliencesite planning

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Area of Science:

  • Environmental science
  • Urban planning
  • Community resilience

Background:

  • Catastrophic flooding from Hurricanes Harvey and Florence necessitates resilient community redevelopment along U.S. coasts.
  • Socially vulnerable communities require special consideration in designing resilient public spaces.
  • Community visioning and neighborhood design are crucial but challenging for communities with limited collaborative capacity.

Purpose of the Study:

  • To examine the utility of landscape performance models in evaluating master plan parameters for community resilience.
  • To assess the feasibility and performance of service-learning products in vulnerable communities.
  • To provide an objective evaluation method for community-led resilience planning.

Main Methods:

  • Utilized landscape performance models to evaluate proposed master plan parameters.
  • Focused on Manchester, a Houston community vulnerable to flooding.
  • Integrated local conditions and community feedback into the evaluation process.

Main Results:

  • Landscape performance models objectively evaluated costs and performance measures of service-learning outputs.
  • Demonstrated the models' capability to assess feasibility of conceptual plans.
  • Provided data-driven insights for community-led resilience strategies.

Conclusions:

  • Landscape performance models are effective tools for evaluating the practical implementation of community resilience plans.
  • University-community partnerships using service-learning can be enhanced by objective performance evaluations.
  • Objective evaluation supports informed decision-making for disaster recovery and resilient redevelopment.