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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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Manipulation and Analysis01:21

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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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Selected Data About Geographic Locations01:25

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Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
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Levels of Use of a GIS01:29

Levels of Use of a GIS

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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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Introduction to GIS01:28

Introduction to GIS

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Geographic Information Systems (GIS) are tools for storing, analyzing, and displaying spatial data alongside related attributes. Unlike traditional information systems that address general queries, GIS incorporates spatial components, enabling users to answer "where" and "how far." For example, GIS can process housing data linked to geographic locations like zip codes, allowing insights into population density or housing distribution through thematic maps.GIS integrates technologies such as...
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GIS Software, Hardware, and Sources of GIS Data01:23

GIS Software, Hardware, and Sources of GIS Data

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A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...
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Related Experiment Video

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Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
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Urban Pedestrian Routes' Accessibility Assessment Using Geographic Information System Processing and Deep

Tomás E Martínez-Chao1, Agustín Menéndez-Díaz2, Silverio García-Cortés3

  • 1Department of Civil, Building and Environmental Engineering, University of Naples "Federico II", 80125 Naples, Italy.

Sensors (Basel, Switzerland)
|June 19, 2024
PubMed
Summary

This study introduces a novel method using AI and GIS to assess urban pedestrian route accessibility, prioritizing inclusivity for people with reduced mobility. The findings help improve safe and accessible pedestrian pathways for all users.

Keywords:
deep learninggeographic information system (GIS)inclusivenessinertial sensorspedestrian crossingwheelchair-friendly routes

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Area of Science:

  • Urban Planning
  • Geographic Information Science
  • Artificial Intelligence

Background:

  • European Union prioritizes safe, accessible, and inclusive pedestrian routes.
  • Assessing pedestrian mobility around public buildings is crucial for people with reduced mobility.
  • Existing methods may not fully capture the nuances of accessibility for diverse user groups.

Purpose of the Study:

  • To develop and validate a method for assessing pedestrian mobility and accessibility in urban areas.
  • To evaluate the inclusivity of pedestrian routes, particularly for individuals with reduced mobility.
  • To identify optimal accessible routes for wheelchair users between points of interest.

Main Methods:

  • Utilized artificial intelligence (AI) algorithms, specifically deep learning-based object detection, for identifying pedestrian crossings from satellite or aerial imagery.
  • Employed Geographic Information System (GIS) techniques to construct network models for accessibility analysis.
  • Verified route continuity using inertial sensors to ensure horizontal path integrity.

Main Results:

  • Successfully identified pedestrian crossings and their precise geographical locations using AI.
  • Created network models to assess wheelchair accessibility and determine the most suitable transit routes.
  • Validated the accuracy of the developed method through on-site data corroboration.

Conclusions:

  • The developed AI and GIS-based method effectively assesses pedestrian route accessibility and inclusivity.
  • This approach provides valuable data for urban planners and authorities responsible for pedestrian infrastructure.
  • The findings contribute to creating safer and more accessible urban environments for individuals with reduced mobility.