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Highway Freight Transportation Diversity of Cities Based on Radiation Models
Li Wang1, Jun-Chao Ma1,2, Zhi-Qiang Jiang1,2,3
1School of Business, East China University of Science and Technology, Shanghai 200237, China.
Entropy (Basel, Switzerland)
|June 2, 2021
Summary
Highway freight transportation diversity in 338 Chinese cities was analyzed using 15.06 million truck records. More developed cities exhibit higher transportation diversity, reflecting economic complexity.
Area of Science:
- Urban studies
- Transportation science
- Economic geography
Background:
- Understanding urban connectivity and economic structure is crucial for regional development.
- Highway freight transportation networks are vital arteries for economic activity.
Purpose of the Study:
- To investigate highway freight transportation diversity across 338 Chinese cities.
- To analyze the relationship between city development and transportation network complexity.
Main Methods:
- Utilized a dataset of 15.06 million truck transportation records over five months.
- Employed the radiation model and its cost-based variant to calculate inter-city transportation probabilities.
- Incorporated geographic distance and driving distance as cost proxies, considering population and GDP.
Main Results:
- Transportation probabilities exhibit power-law distributions with exponents near 0.5.
- Inter-city transportation probabilities are generally asymmetric (pij ≠ pji) and differ between geographic and cost-based models.
- City population, GDP, in-flux, and out-flux scale as power laws with transportation diversity.
Conclusions:
- Highway truck transportation diversity is closely linked to a city's economic development and structural complexity.
- The findings suggest that economic development drives a more diverse transportation network, facilitating broader economic interactions.
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