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The Spatial Memory Game: Testing the Relationship Between Spatial Language, Object Knowledge, and Spatial Cognition
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World wide spatial capital.

Rijurekha Sen1, Daniele Quercia2

  • 1Indian Institute of Technology Delhi, Delhi, India.

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Summary
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This study introduces a novel, cost-effective method to measure neighborhood spatial capital globally. This approach utilizes readily available web data to provide standardized, comparable insights for urban planning worldwide.

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Area of Science:

  • Urban Planning
  • Geographic Information Systems (GIS)
  • Social Science

Background:

  • Spatial capital, defined as the proximity of daily life amenities, is crucial for urban planning.
  • Existing methods for measuring spatial capital rely on costly, city-specific data, limiting global comparability.
  • Previous research primarily focused on data from the USA and UK.

Purpose of the Study:

  • To develop a cheap and standardized methodology for measuring spatial capital globally.
  • To enable cross-city comparisons and inform urban planning decisions worldwide.
  • To introduce the "World Wide Spatial Capital" project.

Main Methods:

  • Utilizing basic, publicly available web data on amenity locations.
  • Developing standardized metrics applicable across diverse global cities.
  • Analyzing spatial capital in relation to urban interventions, city structure, and other urban characteristics.

Main Results:

  • The proposed metrics are cost-effective and standardized for global application.
  • The methodology allows for insights into areas benefiting from urban interventions.
  • It facilitates analysis of urban planning strategies for mono- and poly-centric cities and cross-city comparisons.

Conclusions:

  • The "World Wide Spatial Capital" project offers a scalable and affordable approach to understanding urban environments.
  • This method enhances urban planning by providing standardized, globally comparable data.
  • It supports informed decision-making on urban interventions and city development strategies.