Comparing China's city transportation and economic networks

Lao, Xin; Zhang, Xiaoling; Shen, Tiantian; Skitmore, Martin

doi:10.1016/j.cities.2016.01.006

Cited by 72 publications

(39 citation statements)

References 53 publications

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“…Studies that do tackle the question of the similarities and differences between different networks include comparisons between Internet backbone and air transport intercity linkages (Choi et al 2006), worldwide air and sea transport flows (Ducruet et al 2011), global airline networks and global service connectivities (Taylor et al 2007), business travel, shopping and the commuting of highly educated and less-educated segments of the workforce (Burger et al 2014), and physical, functional and knowledge flows (Cao et al 2018). Similarly, Liu et al (2013) explore the co-evolution of airline networks and corporate networks, while Lao et al (2016) compare China's airline networks and economic networks.…”

Section: Introductionmentioning

confidence: 99%

An Analysis of the Determinants of the Multiplex Urban Networks in the Yangtze River Delta

Zhang

Derudder

Wang

et al. 2019

Tijd voor Econ & Soc Geog

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This paper examines the determinants of the spatial and topological structure of three types of urban networks within the Yangtze River Delta. These networks consist of transport infrastructure links, business interactions in producer services firms, and leisure mobility. The influence of distance, size, administrative borders, landform contiguity, cultural affinities, economic alliances and administrative rank are examined. We position our findings as an empirical elaboration of the formation of multiplex urban networks. Our results show that in spite of significant correlations between all of these explanatory factors and the three urban networks, only some factors affect each of the three networks. More specifically, the business network has a weak dependence on distance and cultural affinities; intercity mobility is closely related to the size of cities’ populations and distance; and landform patterns remain a fundamental basis for intercity transport linkages. Our results highlight China’s hierarchical‐administrative specifics in the shaping of urban networks.

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Section: Introductionmentioning

confidence: 99%

An Analysis of the Determinants of the Multiplex Urban Networks in the Yangtze River Delta

Zhang

Derudder

Wang

et al. 2019

Tijd voor Econ & Soc Geog

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“…The basic gravity model assumes that the spatial connection between two cities is proportional to the size of each city and inversely proportional to the distance between the two cities [50]. The basic form is as follows:…”

Section: Constructing a Spatial Association Network Of Co 2 Emissionsmentioning

confidence: 99%

“…where I ij represents the gravity index, referring to the association between city i and city j, M i , M j represents the city size, and D ij represents the distance between two cities. k is the empirical constant and b is the coefficient of friction, which can be obtained after running a regression [50]. Geographical proximity and economic correlation are important factors that influence the spatial layout of economic activities, which directly leads to an increase in energy demand, and thus, the production a large amount of CO 2 emissions.…”

Section: Constructing a Spatial Association Network Of Co 2 Emissionsmentioning

confidence: 99%

Spatial Association and Effect Evaluation of CO2 Emission in the Chengdu-Chongqing Urban Agglomeration: Quantitative Evidence from Social Network Analysis

et al. 2018

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Urban agglomeration, an established urban spatial pattern, contributes to the spatial association and dependence of city-level CO 2 emission distribution while boosting regional economic growth. Exploring this spatial association and dependence is conducive to the implementation of effective and coordinated policies for regional level CO 2 reduction. This study calculated CO 2 emissions from 2005-2016 in the Chengdu-Chongqing urban agglomeration with the IPAT model, and empirically explored the spatial structure pattern and association effect of CO 2 across the area leveraged by the social network analysis. The findings revealed the following: (1) The spatial structure of CO 2 emission in the area is a complex network pattern, and in the sample period, the CO 2 emission association relations increased steadily and the network stabilization remains strengthened; (2) the centrality of the cities in this area can be categorized into three classes: Chengdu and Chongqing are defined as the first class, the second class covers Deyang, Mianyang, Yibin, and Nanchong, and the third class includes Zigong, Suining, Meishan, and Guangan-the number of cities in this class is on the rise; (3) the network is divided into four subgroups: the area around Chengdu, south Sichuan, northeast Sichuan, and west Chongqing where the spillover effect of CO 2 is greatest; and (4) the higher density of the global network of CO 2 emission considerably reduces regional emission intensity and narrows the differences among regions. Individual networks with higher centrality are also found to have lower emission intensity.

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“…In terms of Chinese inter-city network development within the national scale, it is substantial relied on government reformation strategies and transportation infrastructure restructuring to some extent. Since the salient uneven development between Chinese urban territories, transportation network and economic network are complementary and inseparable (Lao, Zhang, Shen, & Skitmore, 2016). This trend of mutual interactions within two networks is an integral part of urban structure transformation in China, which curtails the urban spatial disparities between core and peripheral cities.…”

Section: Introductionmentioning

confidence: 99%

“…By reviewing the major trajectory of world cities research, we can clearly find that the majority of previous empirical study about world city network only concentrates on global scale, only a small number of scholars implement a profound research with regard to insights of East Asia and China (Ben Derudder et al, 2013;Lao et al, 2016;Ma & Timberlake, 2008). In order to rectify this research gap, in this research, we focus on China as the study area, to construct a world city network of Chinese cities based upon the data of Chinese air transportation network.…”

Section: Introductionmentioning

confidence: 99%

World City Network in China: A Network Analysis of Air Transportation Network

Li¹,

Dawood²

2016

MAS

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World city network formation is one of the most robust trends in the context of globalization. The unprecedented economic transformation and infrastructure restructuring enable China to integrate in world city network overwhelmingly. The purpose of this paper is aiming to conduct a network analysis of Chinese air transportation network based upon large-scale collected data of inter-city air passengers' volume thereby identifying the world city network of Chinese cities, as well as the internal cooperative relationship and hierarchical structure of these articulations in the network. There are 80 sample cities are enclosed in this air transportation network model using UCINET, which is pioneering social network analytical software. Clearly, UCINET is applied to manipulate the matrix of inter-city air passengers flows in order to elaborate analyze of density of the whole network, to calculate multiple centrality of each node cities, which strives to identify the dominance of each cities' hierarchical power and positions. In addition, NetDraw program in UCINET is designed to visualize the whole network whereas CONCOR program is operationalized to classify major subgroups within national air transportation network of China. Based on the analysis, we can find that Beijing, Shanghai and Guangzhou play a dominant role in this network, and it is evident that there exist some robust cooperative relationships within and between subgroups arisen from overall air transportation network. Overall, these findings consolidate a concrete cornerstone of Chinese world city network formation.

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Comparing China's city transportation and economic networks

Cited by 72 publications

References 53 publications

An Analysis of the Determinants of the Multiplex Urban Networks in the Yangtze River Delta

An Analysis of the Determinants of the Multiplex Urban Networks in the Yangtze River Delta

Spatial Association and Effect Evaluation of CO2 Emission in the Chengdu-Chongqing Urban Agglomeration: Quantitative Evidence from Social Network Analysis

World City Network in China: A Network Analysis of Air Transportation Network

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