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Multimodal spatial availability: A singly-constrained measure of accessibility considering multiple modes.

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This study introduces a new accessibility measure, multimodal spatial availability, to accurately count opportunities. This method prevents overcounting and provides interpretable results for diverse travel behaviors and policies.

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Area of Science:

  • Urban Planning
  • Transportation Geography
  • Spatial Analysis

Background:

  • Conventional accessibility measures often overcount opportunities, leading to ambiguous results.
  • The total number of opportunities is a known quantity that can be used to constrain accessibility calculations.
  • Spatial availability is a singly-constrained measure that addresses overcounting issues.

Purpose of the Study:

  • To extend the spatial availability measure for multimodal scenarios and heterogeneous populations.
  • To develop a more interpretable and accurate place-based accessibility metric.
  • To evaluate the application of this enhanced measure in real-world urban planning contexts.

Main Methods:

  • Derivation of a multimodal spatial availability measure.
  • Illustration of the measure's features using a synthetic dataset.
  • Application to an empirical case study of low emission zones in Madrid, Spain.

Main Results:

  • The multimodal spatial availability measure provides singly-constrained accessibility values that sum to the total number of opportunities.
  • The measure effectively handles diverse travel behaviors across multiple modes.
  • The application to Madrid's low emission zones demonstrates its practical utility in policy evaluation.

Conclusions:

  • Multimodal spatial availability offers a more accurate and interpretable approach to place-based accessibility.
  • The method has significant implications for evaluating urban policies, such as low emission zones.
  • Future research should explore further applications and refinements of this accessibility framework.