Coupling dynamics between urban freight and economic development in China: A scaling law and Grey–Markov model

Amid rapid urbanization and industrial restructuring, understanding the relationship between freight transportation and economic growth is essential for sustainable urban development. Using multispatial convergent cross mapping and scaling law, this study analyzes data from 288 prefecture-level cities in China (2000–2023) to examine causality, nonlinear coupling, and spatiotemporal evolution. By linking scaling exponents with elasticity coefficients, a Modified Grey–Markov model is developed for forecasting the elastic relationship between urban freight transportation and economic development. Results reveal significant bidirectional causality and a predominantly sublinear scaling relationship with declining coupling strength, alongside a spatial diffusion pattern from eastern to central and western regions. And elasticity coefficients generally exceed 1 and, overall, exhibit an increasing trend, although a few indicators display declining tendencies, suggesting that freight demand may show relatively high responsiveness to changes in economic development in the short term. These findings provide quantitative evidence for optimizing transport systems and supporting sustainable regional development.

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Publication Details

Journal
Transportation Research Interdisciplinary Perspectives
Published
2026-09-01
DOI
https://doi.org/10.1016/j.trip.2026.102229
Primary Topic
Grey System Theory Applications
Type
article
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article

Coupling dynamics between urban freight and economic development in China: A scaling law and Grey–Markov model

Wen Cheng, Wenjing Ye, Yalin Zhang, Wenjie Li et al.
Transportation Research Interdisciplinary Perspectives
Grey System Theory Applications
article

Coupling dynamics between urban freight and economic development in China: A scaling law and Grey–Markov model

Wen Cheng, Wenjing Ye, Yalin Zhang, Wenjie Li, Yu Wan, Hongbo Du, Jie Yang
article en

Abstract

Amid rapid urbanization and industrial restructuring, understanding the relationship between freight transportation and economic growth is essential for sustainable urban development. Using multispatial convergent cross mapping and scaling law, this study analyzes data from 288 prefecture-level cities in China (2000–2023) to examine causality, nonlinear coupling, and spatiotemporal evolution. By linking scaling exponents with elasticity coefficients, a Modified Grey–Markov model is developed for forecasting the elastic relationship between urban freight transportation and economic development. Results reveal significant bidirectional causality and a predominantly sublinear scaling relationship with declining coupling strength, alongside a spatial diffusion pattern from eastern to central and western regions. And elasticity coefficients generally exceed 1 and, overall, exhibit an increasing trend, although a few indicators display declining tendencies, suggesting that freight demand may show relatively high responsiveness to changes in economic development in the short term. These findings provide quantitative evidence for optimizing transport systems and supporting sustainable regional development.

Transportation Research Interdisciplinary PerspectivesVol. 39
Changjiang Institute of Survey, Planning, Design and Research (CN), Hubei Water Resources Research Institute (CN), PLA Army Service Academy (CN), Chongqing Jiaotong University (CN)
Sustainable cities and communities
Openalex Percentile: Top 7%
Grey System Theory Applications
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