Confirming the Third Law of Geography: Evidence in China’s Spring Festival Travel Rush

The Third Law of Geography had been proposed by researchers for several years, yet empirical evidence within the field of human geography remained scarce. This study focused on the tidal characteristics of China's Spring Festival Travel Rush (Chunyun) across 365 cities in 2019, utilizing day-by-day time-series big data. It confirmed the presence and validity of the law, which posited that the more similar geographic configurations of two cities, the more similar the tidal features of human mobility between these two cities. Results showed that the logistic regression model had acceptable goodness of fit (0.421) and impacts of related indexes (city scale, labor supply, city level, traffic hub features, and dominant flow) had a statistically significant performance. Our research not only bolsters the use of data-driven policy decisions based on large-scale human mobility data but also offers a novel perspective to enhance the study of this law, serving as a pioneering effort to advance previous work.

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Publication Details

Journal
International Journal of Social Science Studies
Published
2024-11-27
DOI
https://doi.org/10.11114/ijsss.v12i6.7283
Primary Topic
Diverse Aspects of Tourism Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Confirming the Third Law of Geography: Evidence in China’s Spring Festival Travel Rush

Pengjun Zhao, Kai Liu, Xiaodong Hai
International Journal of Social Science Studies
Diverse Aspects of Tourism Research
article

Confirming the Third Law of Geography: Evidence in China’s Spring Festival Travel Rush

Pengjun Zhao, Kai Liu, Xiaodong Hai
article en

Abstract

The Third Law of Geography had been proposed by researchers for several years, yet empirical evidence within the field of human geography remained scarce. This study focused on the tidal characteristics of China's Spring Festival Travel Rush (Chunyun) across 365 cities in 2019, utilizing day-by-day time-series big data. It confirmed the presence and validity of the law, which posited that the more similar geographic configurations of two cities, the more similar the tidal features of human mobility between these two cities. Results showed that the logistic regression model had acceptable goodness of fit (0.421) and impacts of related indexes (city scale, labor supply, city level, traffic hub features, and dominant flow) had a statistically significant performance. Our research not only bolsters the use of data-driven policy decisions based on large-scale human mobility data but also offers a novel perspective to enhance the study of this law, serving as a pioneering effort to advance previous work.

International Journal of Social Science StudiesVol. 12(6)
Shenzhen University (CN), Peking University (CN), Ministry of Natural Resources (CN), Urban Planning & Design Institute of Shenzhen (China) (CN)
National Natural Science Foundation of China
Sustainable cities and communities
Openalex Percentile: Top 66%
Diverse Aspects of Tourism Research
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