Abstract
Measuring the interaction between cities is an important research topic in many disciplines, such as sociology, geography, economics, and transportation science. The traditional and most widely used spatial interaction model is the gravity model, but it requires the parameters to be artificially set. In this paper, we propose a parameter-free interactive city choice (ICC) model that measures intercity interaction from the perspective of individual choice behavior. The ICC model assumes that the probability of an individual choosing to interact with a city is proportional to the number of opportunities in the destination city and inversely proportional to the number of intervening opportunities between the origin city and the destination city, calculated using the travel time in the transportation network. The intercity interaction intensity can be obtained by calculating the product of this probability and the origin city’s population. We apply the ICC model to measure the interaction intensity among 339 cities in China and analyze the impact of changes in the Chinese land transportation network from 2005 to 2018 on the intercity and city interaction intensity. The results show that our model provides an alternative method for measuring the intercity interaction.
Highlights
The rapid development of cities worldwide and the acceleration of urbanization have led to more than half of the world’s population living in cities [1], and cities have become the main location for human activities in today’s society [2]
We develop the interactive city choice (ICC) model from the perspective of individual choice behavior, which assumes that the probability of an individual choosing to interact with a city is proportional to the number of opportunities, as expressed by the gross domestic product (GDP) of the destination city, and inversely proportional to the number of intervening opportunities, calculated by the shortest travel time in the land transportation network
After collecting and processing the big data related to intercity interaction, we analyze the impact of the change in the land transportation network from 2005 to 2018 on the intercity and city interaction intensity
Summary
The rapid development of cities worldwide and the acceleration of urbanization have led to more than half of the world’s population living in cities [1], and cities have become the main location for human activities in today’s society [2]. The gravity model is simple in form and is widely used to predict intercity interactions, such as intercity travel [17], commuting trips [18, 19], population migration [20], and international trade [21] This model is based on analogy with Newton’s law of universal gravitation and does not involve individual spatial choice behavior [5, 22]. The OPS model assumes that when the individual chooses a destination, he/she will choose a location with a higher benefit than the benefit of the origin, and the benefits of the intervening opportunities [38] This reflects an exploratory tendency in individual choice behavior and can accurately predict human mobility within and between cities. We further apply this model to measure the intercity interaction intensity in China and analyze the impact of the change in China’s land transportation network from 2005 to 2018 on the city interaction intensity
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