Highway freight transportation diversity of cities based on radiation models
Li Wang (ECUST), Jun-Chao Ma (ECUST), Zhi-Qiang Jiang (ECUST), Wanfeng, Yan (Zhicang Tech), Wei-Xing Zhou (ECUST)

TL;DR
This study analyzes highway freight transportation diversity among Chinese cities using radiation models and truck data, revealing power-law distributions and correlations with city development indicators.
Contribution
It introduces a novel application of radiation models to quantify transportation diversity and compares geographic and cost-based models with consistent results.
Findings
Transportation probabilities follow power-law tails with exponents near 0.5.
Transportation probabilities are roughly symmetric but not identical.
Transportation diversity scales with city population and economic indicators.
Abstract
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 from one city to the other. 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, 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 but are often not the same. In addition, the corresponding transportation probabilities calculated…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
