Coupling Coordination Degree Model Research Articles

Coupling Coordination Degree of Land, Ecology, and Food and Its Influencing Factors in Henan Province

Studying the spatiotemporal evolution characteristics of the coupling coordination of the land–ecology–food system (LEF) aids in promoting green agricultural development and regional resource management. This study enriches food indicators under the dietary structure and uses the coupling coordination degree model to analyze the coupling coordination relationship among the LEF of 18 cities in Henan Province from 2011 to 2020. The gray relational degree model is used to investigate the main influencing factors determining the synergistic development of the system. The results show that the comprehensive development index of the LEF in Henan Province ranges between 0.4 and 0.6. The overall comprehensive evaluation index of various cities is ranked as Southern Henan > Eastern Henan > Central Henan > Northern Henan > Western Henan, with the greatest fluctuation observed in the food subsystem. During the study period, the coupling degree of Henan’s LEF ranged from 0.277 to 0.996, indicating stages from low- to high-level coupling. The coupling coordination degree ranged from 0.338 to 0.775, generally bordering on imbalance and barely coordinated. The impact of each subsystem evaluation index on the system’s coupling coordination degree can be ranked as food subsystem > ecology subsystem > land subsystem, with the correlation degree of internal indicators of the food and ecology subsystems with the system’s coupling coordination degree being over 85%, emphasizing the importance of strict management. In summary, the coupling coordination of the LEF system in Henan Province urgently needs to be improved; especially, the coordination of the agricultural system is particularly important. Clarifying the spatiotemporal pattern of the LEF coupling and its coordination can provide a scientific basis for the coordinated development of land use, agricultural ecology, and grain production in Henan Province.

The coupling characteristics and influencing factors of the "homestead-cultivated land system" in the Three Gorges Reservoir Region of China: A farmer perspective

Homesteads and cultivated land are crucial elements of the rural territorial system. Their coupling characteristics and changing patterns are essential for understanding the evolution of rural human-land systems and for developing coordinated rural development strategies. This study takes Huilong Village and Pingba Village in the TGRR, employing methods such as GIS spatial analysis, comprehensive index evaluation, coupling coordination degree model, and geographic detector model. The analysis focuses on the coupling characteristics and influencing factors of the “HCS” in these villages and proposes optimization strategies to provide scientific guidance for village planning, selection of high-quality rural development paths, and strategy design. The main findings are as follows: (1) The spatial distribution of homesteads and cultivated land in typical villages exhibits clear traffic directionality. The spatial coupling of the “HCS” demonstrates significant convergent evolution and adjacent distribution characteristics. (2) The utilization coupling of the “HCS” in Huilong Village and Pingba Village is predominantly high, with 98.72% and 94.62% of farmers, respectively, being highly coupled. However, the degree of coupling coordination is mostly barely coordinated. (3) The primary factors influencing the coordinated development of the “HCS” in the study area include the utilization conditions of homestead and cultivated land, labor status, and economic status. These factors can be categorized into four types: labor factor restrictions, nonagricultural development disturbance, agricultural development, and lagging farming conditions. Differentiated development strategies are proposed for each type. This research enhances the understanding of the coupling between homestead land and cultivated land, offering valuable insights for regional village planning, high-quality development path selection, and government decision-making.

Identifying the Response of Ecological Well–Being to Ecosystem Services of Urban Green Space Using the Coupling Coordination Degree Model: A Case Study of Beijing, China, 2015–2023

Understanding the response of the ecological well–being to ecosystem services of urban green space is imperative for urban ecosystem conservation and management. However, few studies have focused on the response process and spatial relationship of ecological well–being to ecosystem services of urban green space in mega cities, while residents’ demand and evaluation of ecological well–being have not been fully considered. In this study, the ecological well–being evaluation index system was developed through integrating subjective and objective indicators. Using the main urban area of Beijing as an example, our results indicate that from 2015 to 2023, the ecological well–being has been continuously increasing. Moreover, this study indicated that the coupling and coordination degree between ecological well–being and ecosystem services of urban green space still need to be improved. In addition, three modes of spatial relationship were identified in this study: high coordination area, moderate coordination area, and low coordination area. The finding extracted from these spatial relationship models should provide references for urban green space planning to maintain sustainable urban ecosystem conservation and management.

Conflict or Coordination? A Coupling Study of China’s Population–Urbanization–Ecological Environment

Whether the new type of urbanization implemented in China in the past decade has been effective in regulating urbanization and balancing human development and environmental protection remains to be verified. Therefore, this study develops a framework for assessing population-urbanization–ecological environment interactions by combining the coupling coordination degree model and the decoupling index. Firstly, the proposed framework establishes an indicator system of population, economy, society, space, environmental pressure, ecological governance, ecological status, and ecological services based on two sets of national census data; secondly, this study combines the coupling coordination degree model and decoupling index to comprehensively understand the coupling coordination relationship and the decoupling relationship of the population–urbanization–ecological environment across time and space. Overall, this study contributes to a deepened understanding of coupled population–urbanization–ecological environment interactions and provides a scientific basis for effective guidance on urban–rural management and the balance between human development and environmental protection.

The coordinated development among economy, society, energy, and environment and their impacts on public health in China's cities

As China's urban areas rapidly developed, prefecture-level cities faced challenges in the coordinated development of the economy, society, energy, and environment (ESEE), which could impact public health. Previous research had examined the interactions between the various ESEE systems and their effects on public health. However, relatively few studies had conducted comprehensive analyses across different systems and regions. This paper aimed to conduct an in-depth analysis in this field. First, it calculated the ESEE development levels using principal component analysis, the entropy method, and data from 278 Chinese cities between 2012 and 2021. Next, it employed a coupling coordination degree model, which reflects the degree of coordinated development between different systems, to explore the coordinated development levels and trends of the four ESEE systems in each prefecture-level city. Furthermore, this paper innovatively used a spatial Durbin model, incorporating ESEE coordination levels to investigate their impact on public health in local and surrounding areas. The results indicated that the positive impact of ESEE coordinated development on local public health was 0.5082, while the impact on surrounding areas was 2.0240. This influence was more pronounced in smaller cities, suggesting the need to enhance regional cooperation, balance developmental disparities, and promote ESEE coordinated development to improve public health.

Research on the relationship of coupling coordination between digitalization and green development

The coupling coordination of digitalization and green development has become an inevitable requirement for building a new development pattern and achieving high-quality development of China’s economy. Based on the panel data of 284 Chinese cities from 2011 to 2021, this study uses the coupling coordination degree model, Dagum Gini coefficient, spatial convergence, Markov transfer probability matrix, and panel Tobit model to quantitatively analyze the spatial–temporal evolution characteristics and influencing factors of the coupling coordination degree of digitization and green development. The study results show that the coupling coordination degree (CCD) of digitalization and green development has an overall increasing trend during the study period, and the eastern region is higher than other regions which showing spatial non-equilibrium characteristics. The spatial difference of the CCD continues to downward, and inter-regional differences are the main source of the CCD. In the long run, there is a “catch-up effect” between cities with low CCD and those with high CCD, and the CCD of digitalization and green development will tend to a steady state. The transfer type of the CCD has the characteristics of “club convergence”, the probability of maintaining the original state is high, and the overall CCD shows a good development trend in the future. Factors such as environmental regulation, green innovation, industrial structure upgrading and financial efficiency can significantly contribute to the CCD of digitalization and green development. The above findings provide empirical evidence of the CCD of digitalization and green development to achieve high-quality economic development.

Spatiotemporal Coupling Relationship between Higher Education and Economic Development in China: Based on Interprovincial Panel Data from 2012 to 2023

This study explored the relationship between education and the economy in China, focusing on 31 provinces, municipalities, and autonomous regions from 2012 to 2023. It developed an appropriate evaluation model to assess the coupling and collaborative development of the ‘higher education and economy’ composite system. The study quantified both the quantity and quality of higher education modernization in China using the entropy-weight method and a comprehensive development- level evaluation model. The coupling-coordination degree model was applied to empirically analyze the internal logic, operating mechanisms, and coupling-coordination degree between the supply of higher education and the demand for high-quality regional economic development within the context of the new development pattern. Additionally, the obstacle degree model was introduced to identify factors hindering the coupling and coordination of higher education and regional economic development across 31 provinces and municipalities. The findings revealed that (1) the modernization levels of higher education exhibited fluctuating yet overall upward trends, with the eastern region leading. Economic development followed a similar upward trajectory, with the eastern region outperforming other areas. (2) The coupling coordination between higher education and economic development followed a ‘rising-falling-rising’ pattern. (3) The higher education system emerged as the primary obstacle to coupling coordination, with specific challenges varying across different regions.

Coupling coordination relationship between urbanization and water environment in China

The intensification of urbanization (U_UR) in China exacerbates the pressure on the water environment (U_WE). The U_UR and U_WE exhibit incredibly intricate and intertwined interactions. The coordination between U_UR and U_WE is crucial for the sustainable development of cities. Hence, a comprehensive evaluation index system was developed to analyze the coupling coordination relationship and spatial effects between the U_UR and U_WE in China, based on the entropy weight method, the coupling coordination degree (CCD) model, and the spatial autocorrelation analysis method. The data was collected from the China Statistical Yearbook (2013–2023), the China Urban Construction Statistical Yearbook (2012–2022), and provincial statistical yearbooks. The results indicated that the overall trend of CCD in China showed an upward trajectory, increasing from 0.44 to 0.55 in 2012 to 0.56–0.66 in 2022. The average values of CCD for 31 provinces rose from 0.51 in 2012 to 0.61 in 2022, with a growth rate of 19.61%. The regional development level of CCD exhibited spatial heterogeneity, characterized by East > North > South > Northeast > Northwest > Southwest. However, the development of the U_WE subsystem lagged behind the U_UR subsystem, and there was a significant spatial imbalance in the CCD between the U_UR subsystem and U_WE subsystem in China from 2012 to 2022. The High-High Cluster areas of CCD were concentrated in the eastern part of China, while the Low-Low Cluster areas were concentrated in the western part. The research can provide theoretical and technical support to promote the sustainability of urban development and water environment protection.

Coupling Analysis of Cultural and Tourism Integration Development in Anhui Based on Entropy Power Method

For the integrated development of two industries of culture and tourism in Anhui Province, firstly select the relevant indicators of culture and tourism industry in Anhui Province from 2012 to 2021, use entropy weight method and coupling coordination degree model and combine with grey correlation analysis to measure the development level of two industries of culture and tourism in Anhui Province, the degree of coupling and coordination of culture and tourism industry and the correlation between the two systems, analyze the reasons for the change of coordination level in the coupling process in Anhui Province, and put forward suggestions for promoting the deep integrated development of two industries in Anhui Province. Analyze the reasons for the change of the coordination level in the coupling process in Anhui Province, and put forward suggestions for promoting the deep integration and development of the two industries in Anhui Province in the light of the problems existing in the process of coupling and coordinating the development of the two industries in Anhui Province: (1) adhere to promote the integration of development, increase the supply of rich and diverse cultural tourism products; (2) make full use of comparative advantages, improve the market value of cultural tourism products; (3) strengthen publicity and promotion, improve the brand effect of cultural tourism; (4) improve and enhance the level of cultural tourism services, and cultivate new talents; (5) increase policy support, to provide help for the development of cultural tourism industry.

Research on the coupling measurement of medical education and health resource allocation under the background of healthy China

Objective To analyze the coupling and coordination level of medical education and health resource allocation in China, and to provide scientific basis for promoting the high-quality development of medical education and the efficient allocation of health resources.MethodsBased on the panel data from 2011 to 2021, the coupling coordination degree model was used to measure the coupling coordination index of medical education and health resources in China. The spatial auto-correlation model was used to analyze the development status and distribution characteristics of the coupling coordination degree of the two systems. The kernel density estimation method was used to analyze the dynamic evolution trend of the coupling coordination of the two systems. The QR quantile regression model was used to explore the key factors affecting the coupling coordination degree of the two systems.ResultsDuring the observation period, the coupling coordination degree of the two systems increased from 0.393 to 0.465, with a growth rate of 18.3%. The coupling coordination degree between regions gradually decreased in the eastern-central and eastern-western regions, and there were still large differences between the central and western regions. The coupling coordination degree of the two systems in the region was significantly different in the eastern and western regions, and the central region was relatively similar. There is a positive spatial correlation between the provinces, and 25.81% of the provinces have transitions. Finally, the number of points in the first and third quadrants is higher than that in the second and fourth quadrants. In the process of dynamic distribution, the degree of polarization of the coupling coordination degree curve of the two systems is gradually weakened. Per capita GDP, residents ' income difference and population size are the positive and significant factors driving the coupling and coordinated development of the two systems.ConclusionThe coupling and coordination degree of the two systems of medical education and health resource allocation showed a stable upward trend during the observation period, and the global spatial positive correlation also gradually increased, showing the spatial agglomeration characteristics of ' high-high agglomeration ' and ' low-low agglomeration '. The spatial difference of coupling coordination degree shows a shrinking trend and develops towards equalization. The coupling coordination degree of the two systems is affected by social, economic and demographic factors to varying degrees. Therefore, it is necessary to innovate the coordinated development mechanism of the two systems, promote the two-way flow of medical education and health resource allocation in talents, technology and other elements, and then promote the coupling and coordinated development of the two systems.

Coupling Coordination Relationship between Cultural Landscape Conservation and Socio-Economic System in Ethnic Villages of Southeast Guizhou

Amidst the transition from agriculture to tourism, ethnic villages are facing issues of “misalignment” and “disequilibrium” between economic growth and cultural heritage conservation. Previous research has often isolated the effects of cultural heritage conservation or socio-economic development, neglecting their reciprocal influences within the coupling coordination. This study addresses this gap by assessing 43 villages in Leishan County, quantifying the preservation status of the cultural landscape (PSCL) and socio-economic level (SEL) using a comprehensive evaluation model and revealing the coupling coordination relationship between PSCL and SEL in each village with the coupling coordination degree (CCD) model. Spatial autocorrelation and the geographical detector model reveal the spatial agglomeration characteristics and influential factors of the CCD. The results highlight three findings. (1) The majority of villages (93%) are in a moderate imbalance stage or a serious imbalance stage, underscoring an urgent need for targeted policies. (2) Spatial autocorrelation analysis exposes significant clustering, with the northwest corner exhibiting the most pronounced high-value aggregation, which contrasts with the southern region’s low-value clustering. A ‘low–high’ clustering pattern is observed in the northern region, while the southwestern corner presents a ‘high–low’ distribution. (3) Key determinants affecting the CCD include the tourism revenue, tourist volume, resident participation in tourism, village hollowing level, and number of historical buildings. The interactions between driving factors show non-linear and two-factor enhancement effects. This study concludes with policy recommendations advocating for context-specific strategies to enhance the CCD, emphasizing the importance of aligning cultural preservation with economic progress in ethnic villages.

Coupling coordination between digital village construction and agricultural carbon emissions in China.

Exploring the coupling coordination degree (CCD) between digital village construction (DVC) and agricultural carbon emissions (ACE) is crucial for promoting village revitalization and sustainable agricultural development. Analyzing data from 30 provinces in China in 2011-2020, this paper employs the CCD model, the Dagum Gini coefficient, and the geographic detector for in-depth analysis. The results show that the overall level of CCD gradually increases over time, but the national CCD still remains in a state of "low coordination," and there are apparent spatial differences in the CCD among provinces. In addition, the overall difference in CCD shows a decreasing trend, and the contribution of inter-regional differences has gradually become the most critical source of CCD's regional difference. Finally, the spatial differences of CCD are the result of two-factor interaction, among which the innovation level is the most core driving factor. The above findings provide important implications for China and other developing countries to fully leverage the interaction between village digitalization and agricultural decarbonization to promote sustainable agricultural development.

Coordination analysis and evaluation of population, water resources, economy, and ecosystem coupling in the Tuha region of China

The non-coordination between the socio-economic systems and ecosystems of a region is a crucial obstacle to sustainable development. To reveal the relationships between complex urban systems and achieve the goal of sustainable and coordinated urban development, we constructed a coupling coordination degree model (CCDM) and coupling angle model (CAM) and analyzed the degree of coupling coordination and evolution process among the population, water resources, economy, and ecology (PWEE) system of the Tuha region for 2005–2020. The results indicated that: (1) During 2005–2020, the comprehensive development index (CDI) of the population, water resources and economy subsystems was 0.21–0.65, with the three subsystems portraying an overall increase; the average values of the RSEI at five-year intervals were 0.29, 0.28, 0.28, and 0.26, indicating a downward trend in the environmental quality. (2) The coupling coordination effect of the PWEE system portrayed a low level; the coupling coordination degree (CCD) values were 0.28–0.58, portraying a fluctuating upward trend. The level of CCD increased from low disorder to marginal coordination. (3) The PWEE system’s scissor difference reflects large evolutionary characteristics. The ecological support capacity was not observed until the late stage. We conclude that the PWEE composite system of the region is in a stage of disordered development. These findings significantly bolster the theoretical underpinnings of sustainable development studies, offering essential scientific theories and methodological frameworks for crafting sustainable development policies tailored to urban systems in the Tuha region.

A quantitative research on climate resilience in coastal airports from the perspective of adaptation

Because of its distinct function and geographic conditions, the impact of climate change on the operation, safety, and income of airports in coastal areas is becoming increasingly significant. The measurement of climate resilience can help identify priority needs and measures to adapt to climate change, which is a crucial step in developing an aviation adaptation plan. At present, the concept of climate resilience is relatively complex and lacks a clear uniformity of composition, which has made it challenging to effectively support the development of adaptation strategies. Based on the definition of climate resilience, our first step was to construct an evaluation system for coastal airports to visually represent the level of climate resilience. Next, in this study, we introduced a coupling coordination and obstacle degree model to analyze the coordinated development and key drivers of climate resilience, which could be used to develop a targeted improvement strategy based on the calculation results. In the future, additional measures can be combined from the natural environment, socioeconomics, governance capacity, and climate change risk to enhance the capacity development of the aviation industry to address climate change and foster the establishment of a sustainable development model between the industry and the environment.

From efficiency to resilience: unraveling the dynamic coupling of land use economic efficiency and urban ecological resilience in Yellow River Basin

This study investigates the Dynamic Coupling between Land Use Economic Efficiency (LUEE) and Urban Ecological Resilience (UER) in the Yellow River Basin (YRB). This exploration is pivotal for elucidating the interaction mechanisms between economic growth and ecological governance. Furthermore, understanding this relationship is essential for fostering high-quality, sustainable urban development in the YRB. Utilizing panel data from 56 cities spanning 2003 to 2020, this study employed the coupling coordination degree (CCD) model, spatial correlation analysis, Kernel density estimation, convergence model, and Geodetector to systematically analyze the spatio-temporal distribution, dynamic trend, and determinants of the CCD between LUEE and UER in the YRB. The findings indicate that: (1) A general upward trend in both LUEE and UER, accompanied by a steady improvement in their CCD. (2) Significant spatial disparities in their CCD, with higher levels in the lower reaches. (3) Marked positive spatial autocorrelation, predominantly characterized by clusters where high (low) values are surrounded by high (low) values. (4) Regarding the impact of individual factors, government fiscal budget expenditure demonstrates the most robust explanatory power for the CCD within the YRB. Concerning the effects of two-factor interactions, the interplay between industrial structure upgrading and government fiscal budget expenditure emerges as the most significant determinant in influencing the CCD between LUEE and UER. This study enhances our comprehensive understanding of the interplay between economic and ecological systems. It offers scientific insights and strategic direction for harmonizing ecological governance with urban economic growth at both the regional and global scales.

Research on the coupling effect of water security and socio-economy in five economic zones of Sichuan Province, China

ABSTRACT The uneven distribution, scarcity, and pollution of water resources can significantly hinder socioeconomic development. A conceptual framework of Water Resources Endowment-Efficiency-Pressure-Response-Structure-Cycle (2EPRSC) was proposed, and 16 indicators were selected to establish the evaluation index system. Taking the five economic zones in the Sichuan Province of China as the research area, the genetic algorithm optimized entropy weighting method-cloud model was applied to determine the water security grades. Subsequently, the coupling coordination degree (CCD) model was established based on water security system (WSS)-SES to analyze the CCD. The results showed that (1) temperature and investment were the two indicators with more significant impacts on water security in Sichuan Province. (2) From 2012 to 2022, water security in Sichuan Province as a whole presented a decreasing and then increasing trend. (3) From 2012 to 2022, CCDs of the WSS-SES in Sichuan Province's economic zones were mostly at moderate imbalance, with the Chengdu Plain economic zone showing the highest CCD. Overall, the CCD scores across the economic zones were on an ascending trajectory. The study, grounded in the state of water security and CCD in Sichuan, can forge a scientific foundation for the sustainable development of WSS-SES.

Factors influencing the relationship between perceptions of ecosystem services and well-being of farmers in the ore-agriculture zone, China

Understanding the coupling relationship between ecosystem service perceptions (ESP) and farmers’ well-being (FWB) in the ore-agriculture zone plays an important strategic role in maintaining regional ecological security and improving the well-being of regional farmers. Based on field research, questionnaire surveys and other methods, this study took farmers around the coal mining development zone as research subjects and used a comprehensive multi-index assessment method to evaluate the level of ESP and the FWB in the research area. A coupling coordination degree model was used to analyze the coupling relationship between ESP and FWB, and the random forest model was used to explore the influencing factors of the coupling relationship between the two. The results showed: (1) The FWB index was moderate and the ESP index was low. Farmers’ perceptions of the different ecosystem services varied, with provisioning services being perceived most strongly and supporting services least strongly. Satisfaction with basic material needs was highest on the well-being assessment. (2) The overall state of ESP and FWB coupling was good, with most of them in the state of coordination improvement. From the perspective of dimensional differentiation, the coupling of the dimensions of ESP and FWB was poorly coordinated, and all of them were in the state of dysfunction regression. (3) The coupling relationship between ESP and FWB was influenced by both environmental and household characteristics, with the former having a stronger effect. The results of this study can serve as a reference for promoting the coordination of ESP and FWB in the ore-agriculture zone, and ultimately realize the sustainable development of ecology and human in the ore-agriculture zone.

Research on the coupling coordination characteristics and convergence of digital finance and regional sustainable development: evidence from Chinese city clusters

The study examines the digital finance (DF) and regional sustainable development (RSD) across 90 cities within six major city clusters in China over the period from 2011 to 2020. By constructing an evaluation index system for DF and RSD, we employed the entropy value method to assess their levels, and the coupling coordination degree (CCD) model to evaluate their interplay. Our analysis extended to temporal and spatial disparities, distribution dynamics, and the convergence of CCD through kernel density estimation, Markov chain analysis, σ\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\sigma$$\\end{document}-convergence, and β\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\beta$$\\end{document}-convergence techniques. The results indicate a consistent upward trend in CCD, yet it remains at a low level with pronounced regional disparities and temporal characteristics. The kernel density distribution’s central tendency has shifted rightward progressively, albeit with a decelerating pace annually. The Markov transition probability matrix suggests a stable CCD across various levels, hinting at “club convergence”. Furthermore, both σ\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\sigma$$\\end{document}-convergence and β\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\beta$$\\end{document}-convergence analyses reveal significant convergence trends in CCD, enhanced by economic growth factors. Using the Quadratic Assignment Procedure (QAP) method, we found that regional economic growth disparities significantly influence the CCD’s regional variances.

Research on the Coupled and Coordinated Development of Tourism and Transport in Chengdu City

Based on a total of 16 indicators selected from the tourism and transport industries, an evaluation index system of the coupling and coordination development level of tourism and transport is constructed. The entropy value method and the coupling coordination degree model are used to conduct an empirical study on the development level and coupling coordination level of the transport and tourism industries in Chengdu City from 2011 to 2020. The results show that, on the whole, the coupling coordination degree of transport and tourism in Chengdu is poor and has been in a state of mild to moderate dysfunction. The development level of tourism lagged behind the development of transport from 2011 to 2012, and the two were in a state of mild dysfunction. However, from 2013 onwards, the development level of tourism was prioritized over the development level of transport. This shift caused the coupling coordination degree of the two industries to decline sharply to 0.23305 in 2013. The development level of the tourism industry increased again, reaching 0.34206 in 2019, which marked an improvement. Consequently, the coordination degree of the transport and tourism industries evolved from moderate dislocation to mild dislocation. Finally, the results of the empirical research are analyzed, and corresponding suggestions are put forward to promote the sustainable growth of the transport and tourism industries in Chengdu City. These suggestions aim to improve the coupled and coordinated development level of the two industries.

Response of Low Carbon Level to Transportation Efficiency in Megacities: A Case Study of Beijing, China

Global warming caused by massive carbon dioxide emissions can lead to a chain of ecological disasters. As one of the main sources of carbon emissions, transportation is of great significance, and the evaluation of its connections with carbon emissions is necessary to achieve “carbon neutrality”. Taking Beijing as an example, this study evaluated traffic efficiency (TE) by utilizing principal component analysis and fuzzy comprehensive evaluation. Using the Tapio decoupling model and coupling coordination degree model, the corresponding relationship between urban low carbon level (LCL) and TE was explored. The results showed the following: (1) The total carbon emission (CE) level exhibited fluctuating variation from increasing to decreasing. The carbon emission intensity (CEI) continued to slow down, and the rapid growth of population density played a key role in low-carbon development. (2) The traffic operations continually showed a positive trend in development. TE increased from a step-like to a slow shape, until it declined in 2020 due to the pandemic. (3) TE and LCL both developed from low coordination to an extreme level of coordination. Per capita carbon emission (CEP) and TE presented an inverted U-shaped curve; meanwhile, with increases in TE, the decline in CEI slowed. In addition, the weak decoupling of TE changed to become strong, due to CE and CEP, and maintained a strong decoupling state from CEI. (4) There is a necessity for the rational planning of land use for transportation infrastructure, the encouragement of a combination of public and private transportation, and the strengthening of the maintenance of the relative infrastructure and the management of traffic behaviors to attain a win–win situation. The results provide a reference for optimizing the traffic structure to achieve “carbon neutrality”.