Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Levels of Use of a GIS01:29

Levels of Use of a GIS

109
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...
109
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

71
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...
71
GIS Software, Hardware, and Sources of GIS Data01:23

GIS Software, Hardware, and Sources of GIS Data

190
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...
190
Manipulation and Analysis01:21

Manipulation and Analysis

61
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...
61
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

106
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...
106
Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

163
Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
163
  1. Home
  3. Research Domains
  5. Built Environment And Design
  7. Urban And Regional Planning
  9. Urban Informatics
  11. Spatial Heterogeneity Of Built Environment's Impact On Urban Vitality Using Multi-source Big Data And Mgwr

Spatial heterogeneity of built environment's impact on urban vitality using multi-source big data and MGWR

Wanshu Wu1, Xiangyu Liu2, Yang Zhou1

  • 1College of Architecture and Urban Planning, Qingdao University of Technology, Qingdao, 266033, China.

Scientific Reports
|July 2, 2025

Related Experiment Videos

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.7K
Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.1K
Author Spotlight: Investigating the Effects of Mind-Body-Movement Practices on Brain Function
06:17

Author Spotlight: Investigating the Effects of Mind-Body-Movement Practices on Brain Function

Published on: January 26, 2024

2.1K

View abstract on PubMed

Summary
This summary is machine-generated.

Urban environments impact city vitality differently across locations. Key factors include diversity, natural settings, and accessible services, requiring tailored urban planning.

Area of Science:

  • Urban Studies
  • Geographic Information Science
  • Environmental Psychology

Background:

  • Understanding the complex interplay between urban environments and city vitality is crucial for sustainable urban development.
  • Existing research often overlooks the spatial heterogeneity of these relationships across diverse urban contexts.
  • The integration of multi-source big data offers new opportunities to analyze these nuanced connections.

Purpose of the Study:

  • To develop and apply a novel framework for examining spatial variations in built environment-vitality relationships.
  • To investigate how different dimensions of the built environment influence urban vitality across various urban settings.
  • To identify context-specific factors that enhance or hinder urban vitality.

Main Methods:

  • A novel interpretative framework combining multi-source big data (LBS, social media, POI, street view imagery) with Multiscale Geographically Weighted Regression (MGWR).
Keywords:
Built environmentMulti-source big dataMultiscale geographically weighted regressionSpatial heterogeneity

Related Experiment Videos

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.7K
Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.1K
Author Spotlight: Investigating the Effects of Mind-Body-Movement Practices on Brain Function
06:17

Author Spotlight: Investigating the Effects of Mind-Body-Movement Practices on Brain Function

Published on: January 26, 2024

2.1K
  • Analysis of four key dimensions of the built environment and their influence on urban vitality.
  • Spatial statistical analysis to reveal heterogeneity in built environment-vitality associations.

    • Main Results:

    • Significant spatial heterogeneity was found in the relationships between the built environment and urban vitality.
    • Road density generally correlates with overall urban vitality, while diversity is a prerequisite for stimulating it.
    • Specific findings include: life-service facility diversity enhances vitality; population density does not always increase vitality; long-distance transport impacts are more significant than conventional transport; natural environments and high sidewalk coverage are linked to higher vitality.

    Conclusions:

    • Built environment-vitality relationships are spatially heterogeneous and context-dependent.
    • Urban planning and design interventions must adopt context-sensitive approaches to effectively enhance urban vitality.
    • The study highlights the importance of diversity, natural elements, and accessible services in fostering vibrant urban spaces.
    Urban vitality