Investigating interaction pattern between urban-rural integration and transport network: A dynamic evolution model

Xiao, Daiquan; Xu, Xuecai

doi:10.1371/journal.pone.0266063

Cited by 3 publications

(1 citation statement)

References 14 publications

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“…Recognition of the spatial interdependence of "rural" and "urban" areas is starting to happen. In some locations, cities start to build interactions between urban and rural development in a variety of social developments and economic industries [3]. Urban areas encourage rural areas' efforts to develop, and vice versa, leading to integration of urban and rural development.…”

Section: Introductionmentioning

confidence: 99%

A Model Assembly Approach of Planning Urban–Rural Transportation Network: A Case Study of Jiangxia District, Wuhan, China

Zhao

et al. 2023

Sustainability

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Planning transportation networks between urban and rural areas is of crucial importance for the integration of urban and rural development, for socio-economic connectivity, and for sustainable growth. The study offers a model assembly approach in order to logically plan an integrated urban–rural transportation network that may support the coordinated development of its living–production–ecological space. Within this approach, the ordinary least squares (OLS) linear regression analysis method is used to investigate the correlation between urban and rural areas of a transportation network and the influencing factors in the living–production–ecological space so as to objectively analyze their degree of influence. These factors are size of town, urban and rural settlements, life services, supporting transportation facilities, trunk layout, external transport links, cargo hubs, logistics and transportation, enterprise distribution, agricultural production, terrain, distribution of water systems, tourism resources, heritage preservation, and ecological protection. The analytic hierarchy method is used to assign weight to the urban and rural transportation network planning impact index system. As a result, a transportation network planning decision hierarchy model is implemented to identify suitable areas for urban and rural transportation network construction and to provide guidance and reference for planning. Jiangxia District, Wuhan, China is selected as the study area to verify the feasibility and effectiveness of the model. The findings indicate that the influencing factors of urban and rural industrial and ecological space have a significant impact on the transportation network in the research area. Planning should prioritize optimizing the central region’s transportation network structure and enhancing traffic flow between urban and rural communities, which is effectively in line with the current reality. The suggested approach is helpful in establishing case-study-specific planning and development strategies of urban and rural integrated transportation networks in the age of big data, as well as in balancing these influencing factors in living, production, and ecological spaces when planning an integrated urban and rural transportation network.

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Section: Introductionmentioning

confidence: 99%

A Model Assembly Approach of Planning Urban–Rural Transportation Network: A Case Study of Jiangxia District, Wuhan, China

Zhao

et al. 2023

Sustainability

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Investigating injury severity interaction between urban and urban-rural fringe areas: a grouped random parameters seemingly unrelated bivariate probit approach

Xiao,

Yuan,

et al. 2023

International Journal of Injury Control and Safety Promotion

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The Synergistic Effect of Urban and Rural Ecological Resilience: Dynamic Trends and Drivers in Yunnan

Zhou,

Wang,

Fang

et al. 2024

Sustainability

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With the rapid development of the world economy, pollution of urban and rural ecological environments and the decline in anti-risk capabilities are becoming more serious. In order to promote sustainable improvement of urban and rural ecological resilience, based on previous independent research on urban and rural resilience, this paper combines the two to carry out collaborative development research. The dynamic evolution and driving force heterogeneity in the coordinated development level of urban and rural ecological resilience in Yunnan Province in China from 2013 to 2022 were studied using the coordination degree model of composite system and geographical detector. The results show the following: (1) The urban and rural ecological resilience levels in Yunnan Province increased annually, but urban ecological resilience (0.178) lagged behind that of rural areas (0.376). Compared to rural areas, the overall spatial difference in urban ecological resilience level is significant. (2) The overall level of urban–rural ecological resilience synergy in Yunnan Province has been increasing annually, from “no synergy” to “primary synergy”. However, there are great differences between prefectures and cities. (3) The combination of urban and rural driving factors is more conducive to improving urban–rural ecological resilience. The interaction between the per capita water supply and fertilizer consumption is the primary and critical driving factor. In the future, we will continue to take the coordinated development of urban and rural ecological resilience as the theme, further expand the research field, and carry out future development trend prediction research. This study provides new ideas for the construction of ecological resilience in similar countries and regions worldwide.

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Investigating interaction pattern between urban-rural integration and transport network: A dynamic evolution model

Cited by 3 publications

References 14 publications

A Model Assembly Approach of Planning Urban–Rural Transportation Network: A Case Study of Jiangxia District, Wuhan, China

A Model Assembly Approach of Planning Urban–Rural Transportation Network: A Case Study of Jiangxia District, Wuhan, China

Investigating injury severity interaction between urban and urban-rural fringe areas: a grouped random parameters seemingly unrelated bivariate probit approach

The Synergistic Effect of Urban and Rural Ecological Resilience: Dynamic Trends and Drivers in Yunnan

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