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April 10, 2026SHILAP Revista de lepidopterología0 citationsOpen Access

Measuring alignment with the grid: evaluating the earth mover's distance as a metric of alignment between orientations

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AKArvid Krantz-HornedZFZoe FalomirKRKai-Florian Richter

Key Points

  • The aim is to propose and evaluate a method for measuring the alignment of origins and destinations with street networks using Earth Mover's Distance.
  • Proposed a novel metric using Earth Mover's Distance to measure alignment.
  • Utilized a dataset of 77,293 origin and destination pairs from 100 cities.
  • Tested the hypothesis relating misalignment to route length and complexity.
  • Findings indicate that greater misalignment predicts longer and more complex routes.
  • The metric becomes more useful in grid-like street networks.
  • Alignment is shown to significantly affect route properties in environments with specific street configurations.

Abstract

How an origin and a destination align with the street network may, anecdotally, be used as a heuristic to infer the length and complexity of routes from the origin to the destination. However, no method of measuring alignment with a street network exists, and furthermore, it is unclear whether and under what circumstances it is useful as a heuristic. In this paper, we propose a novel method for measuring alignment using the Earth Mover's Distance (EMD) between orientation distributions. We evaluated this metric using a dataset of 77,293 origin and destination pairs from 100 cities with different street networks, in order to test the hypothesis that an increasing degree of misalignment is predictive of a longer and more complex route from origin to destination. Our evaluation shows that our method for measuring alignment becomes more useful as a heuristic the more grid-like the street network surrounding the origin and destination is. To conclude, the results obtained indicate that alignment is an important factor for route properties, especially in grid-like street networks, a subclass of routes within an environment where the configuration of the street network makes predicting the length and complexity easier.

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Cite This Study

Krantz-Horned et al. (2026) studied this question.

synapsesocial.com/papers/69d892d16c1944d70ce03fd6https://doi.org/10.1080/17538947.2026.2649987
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