Exploring the interplay between population profile and optimal routes in U.S. cities
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arXiv
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| Format: | Preprint |
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2025
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| _version_ | 1866913845629419520 |
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| author | Ortega, Diego Korutcheva, Elka |
| author_facet | Ortega, Diego Korutcheva, Elka |
| contents | Cities have developed over time alongside advancements in civilization, focusing on efficient travel and reducing costs. Many studies have examined the distinctive features of urban road networks, such as their length, efficiency, connection to population density, and other properties. However, the relationship between car routes and population in city structures remains unclear. In this study, we used the center of mass for each city tract, defined by the US Census, as the origins and destinations for our itineraries. We calculated travel time, and both Euclidean and travel distances for sixty major cities. We discovered that the total sum of all routes adheres to an urban law. The distribution of these car journeys follows Weibull functions, suggesting that the urban center plays a crucial role in optimizing routes across multiple cities. We also developed a simple point pattern model for the population, which aligns with the well-known decreasing exponential density expression. Our findings show that the interplay between population and path optimization influences city structure through its center. This study offers a new perspective on the fundamental principles that shape urban design. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2505_12510 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Exploring the interplay between population profile and optimal routes in U.S. cities Ortega, Diego Korutcheva, Elka Physics and Society Adaptation and Self-Organizing Systems Applications Cities have developed over time alongside advancements in civilization, focusing on efficient travel and reducing costs. Many studies have examined the distinctive features of urban road networks, such as their length, efficiency, connection to population density, and other properties. However, the relationship between car routes and population in city structures remains unclear. In this study, we used the center of mass for each city tract, defined by the US Census, as the origins and destinations for our itineraries. We calculated travel time, and both Euclidean and travel distances for sixty major cities. We discovered that the total sum of all routes adheres to an urban law. The distribution of these car journeys follows Weibull functions, suggesting that the urban center plays a crucial role in optimizing routes across multiple cities. We also developed a simple point pattern model for the population, which aligns with the well-known decreasing exponential density expression. Our findings show that the interplay between population and path optimization influences city structure through its center. This study offers a new perspective on the fundamental principles that shape urban design. |
| title | Exploring the interplay between population profile and optimal routes in U.S. cities |
| topic | Physics and Society Adaptation and Self-Organizing Systems Applications |
| url | https://arxiv.org/abs/2505.12510 |