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Highway Freight Transportation Diversity of Cities Based on Radiation Models

Using a unique data set containing about 15.06 million truck transportation records in five months, we investigate the highway freight transportation diversity of 338 Chinese cities based on the truck transportation probability [Formula: see text] from one city to another. The transportation probabi...

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Autores principales: Wang, Li, Ma, Jun-Chao, Jiang, Zhi-Qiang, Yan, Wanfeng, Zhou, Wei-Xing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8160748/
https://www.ncbi.nlm.nih.gov/pubmed/34065367
http://dx.doi.org/10.3390/e23050637
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author Wang, Li
Ma, Jun-Chao
Jiang, Zhi-Qiang
Yan, Wanfeng
Zhou, Wei-Xing
author_facet Wang, Li
Ma, Jun-Chao
Jiang, Zhi-Qiang
Yan, Wanfeng
Zhou, Wei-Xing
author_sort Wang, Li
collection PubMed
description Using a unique data set containing about 15.06 million truck transportation records in five months, we investigate the highway freight transportation diversity of 338 Chinese cities based on the truck transportation probability [Formula: see text] from one city to another. The transportation probabilities are calculated from the radiation model based on the geographic distance and its cost-based version based on the driving distance as the proxy of cost. For each model, we consider both the population and the gross domestic product (GDP), and find quantitatively very similar results. We find that the transportation probabilities have nice power-law tails with the tail exponents close to 0.5 for all the models. The two transportation probabilities in each model fall around the diagonal [Formula: see text] but are often not the same. In addition, the corresponding transportation probabilities calculated from the raw radiation model and the cost-based radiation model also fluctuate around the diagonal [Formula: see text]. We calculate four sets of highway truck transportation diversity according to the four sets of transportation probabilities that are found to be close to each other for each city pair. It is found that the population, the gross domestic product, the in-flux, and the out-flux scale as power laws with respect to the transportation diversity in the raw and cost-based radiation models. It implies that a more developed city usually has higher diversity in highway truck transportation, which reflects the fact that a more developed city usually has a more diverse economic structure.
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spelling pubmed-81607482021-05-29 Highway Freight Transportation Diversity of Cities Based on Radiation Models Wang, Li Ma, Jun-Chao Jiang, Zhi-Qiang Yan, Wanfeng Zhou, Wei-Xing Entropy (Basel) Article Using a unique data set containing about 15.06 million truck transportation records in five months, we investigate the highway freight transportation diversity of 338 Chinese cities based on the truck transportation probability [Formula: see text] from one city to another. The transportation probabilities are calculated from the radiation model based on the geographic distance and its cost-based version based on the driving distance as the proxy of cost. For each model, we consider both the population and the gross domestic product (GDP), and find quantitatively very similar results. We find that the transportation probabilities have nice power-law tails with the tail exponents close to 0.5 for all the models. The two transportation probabilities in each model fall around the diagonal [Formula: see text] but are often not the same. In addition, the corresponding transportation probabilities calculated from the raw radiation model and the cost-based radiation model also fluctuate around the diagonal [Formula: see text]. We calculate four sets of highway truck transportation diversity according to the four sets of transportation probabilities that are found to be close to each other for each city pair. It is found that the population, the gross domestic product, the in-flux, and the out-flux scale as power laws with respect to the transportation diversity in the raw and cost-based radiation models. It implies that a more developed city usually has higher diversity in highway truck transportation, which reflects the fact that a more developed city usually has a more diverse economic structure. MDPI 2021-05-20 /pmc/articles/PMC8160748/ /pubmed/34065367 http://dx.doi.org/10.3390/e23050637 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Li
Ma, Jun-Chao
Jiang, Zhi-Qiang
Yan, Wanfeng
Zhou, Wei-Xing
Highway Freight Transportation Diversity of Cities Based on Radiation Models
title Highway Freight Transportation Diversity of Cities Based on Radiation Models
title_full Highway Freight Transportation Diversity of Cities Based on Radiation Models
title_fullStr Highway Freight Transportation Diversity of Cities Based on Radiation Models
title_full_unstemmed Highway Freight Transportation Diversity of Cities Based on Radiation Models
title_short Highway Freight Transportation Diversity of Cities Based on Radiation Models
title_sort highway freight transportation diversity of cities based on radiation models
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8160748/
https://www.ncbi.nlm.nih.gov/pubmed/34065367
http://dx.doi.org/10.3390/e23050637
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