Archive

  • 2022 Volume 44 Issue 5
    Published: 25 May 2022
      

  • Select all
    |
  • PENG Shangui, SUN Hao, GUO Zhengning, WANG Jian
    Download PDF ( ) HTML ( )   Knowledge map   Save

    Industrial transformation and upgrading is the core variable that distinguishes developing and developed countries in modern economic growth, and the government’s allocation of land resources will lead to the change of industrial structure and format, which has an important impact on industrial transformation and upgrading. Therefore, it is of great policy significance to investigate the impact of spatial mismatch of land resources on urban industrial transformation and upgrading and examine its specific mechanism. On the basis of systematically measuring the level of urban industrial transformation and upgrading, this study constructed a spatial panel econometric model and a mediation effect model to investigate the impact of land resources spatial mismatch on urban industrial transformation and upgrading, and analyzed its mediation mechanism from the two dimensions of impact results and impact mechanism. This study found that: (1) Land resources spatial mismatch has a significant negative impact on industrial transformation and upgrading. With regard to the extent of impact, the impact on cities with relative shortage of land supply is greater than that of cities with relative excess of land supply. At the structural level, for cities with relative excess land supply, the negative impact of relative excess industrial land on industrial transformation and upgrading is more obvious. For cities with relative shortage of land supply, the relative shortage of commercial and residential land or industrial land has a significant negative impact on industrial transformation and upgrading. (2) For cities with relative excess of land supply, the negative impact mainly occurs through the mediation mechanism of sustainance of low-end industry and institutional environment deterioration. (3) For cities with relative shortage of land supply, the negative impact mainly occurs through the mediation mechanism of crowding out of real industrial sector investment and financing, and residents’ demand and innovation inhibition. The policy implication is that steadily promoting the rectification of land resources spatial mismatch is an effective measure to promote the industrial transformation and upgrading.

  • YANG Runjia, YE Yanmei
    Download PDF ( ) HTML ( )   Knowledge map   Save

    Potential area identification is the premise of land consolidation and ecological restoration (LCER), and the realization of optimization pattern is the key to the optimal allocation of land resources. Based on the dual demands, this study proposed a strategy to identify potential LCER areas based on the optimal allocation of land resources. Taking the Yellow River Basin as a case study area, the “ideal” optimal land resource pattern and the “practical” LCER work were effectively connected via the Multi-Objective Linear Programming (MOLP) model and Patch-generating Land Use Simulating (PLUS) model. The results show that: (1) The development probability of different land use types is significantly different, and the spatial differentiation of development probability of the same land use type is obvious. (2) Under the inertial development scenario, the construction land would expand greatly, with grassland shrinking and cropland decreasing severely. Under the optimal development scenario, construction land spread, cropland loss, and grassland reduction would be controlled, with the ecological and economic benefits increasing steadily. (3) Four non-transition potential areas of cropland improvement, ecological conservation, and resource reserve (ⅠandⅡ), and four transition potential areas of cropland development, ecological de-farming, ecological reconstruction, and ecological readjustment were identified. Compared with the non-transition types, areas of the transition types demand more human intervention. The disorderly spread of construction land would lead to large-scale loss of grassland and cropland; the optimal allocation of land resources can effectively alleviate urban sprawl and protect (semi-) natural spaces. Based on these results, identifying different LCER areas and taking differentiated measures can not only guarantee the food and ecological security but also improve ecological and economic benefits, ecosystem functions, and land use stability. The method proposed in this study provides a scientific basis for the demarcation of LCER areas and a reference for the implementation of optimal land resource allocation.

  • CAI Jun, ZHANG Lei, YUAN Hongwei, XU Linghui, CHEN Xiaoyu
    Download PDF ( ) HTML ( )   Knowledge map   Save

    The voluntary principle is a prerequisite for the current reform of homestead withdrawal system, and it is of great significance to guide farmers to voluntarily withdraw homestead with compensation, revitalize idle homestead, realize homestead property rights and interests of farmers, and promote urban-rural integration development. Based on the theory of improved technology acceptance model, the structural equation model was used to reveal influencing factors effects, pathways and regional differences of homestead withdrawal behavior intention (BI) by using 738 questionnaire data from rural households in suburban Feixi County and remote Susong County of Hefei City, Anhui Province. The results show that: (1) There are obvious regional differences in farming households’ expected rights of homestead withdrawal, their confidence in realizing the expected rights, and the rights affirmation effect (RAE): In suburban countryside, farmers pay more attention to the expected rights of reasonable compensation, settlement in new urban districts, or intergenerational inheritance. Their confidence in quitting homestead mainly comes from the “spontaneous” driving force and the “inducement” driving force; In rural areas of remote county, the expected rights that farmers pay more attention to is settlement in new urban districts or intergenerational inheritance. Their confidence in quitting homestead mainly comes from the “inducement” driving force. The incentive effect of homestead rights affirmation on farminghouseholds’ withdrawal BI in suburban countryside is greater than that in rural areas of remote county. (2) Among the paths of farmers’ withdrawal BI in the two regions, the mediation effects of perceived ease of use (PEU) and perceived usefulness (PU) were significant, and satisfying farmers’ expected rights and enhancing their self-confidence are important conditions for promoting the withdrawal of homesteads; the order of total effects of the potential variables is consistent: RAE < PEU < PU, however, the total effect of latent variables and positive intention in suburban countryside are stronger than those in rural areas of remote county. (3) The latent variables of the same type of household differentiation group in suburban countryside were stronger than those in suburban countryside, and the effect of RAE was stronger than PEU, which indicates that the RAE in the future is more effective than the government’s strong promotion to stimulate farmers’ BI to exit. Therefore, According to the regional differences, the homestead withdrawal policy should be further improved from the aspects of respecting farmers’ demands for expected rights, enhancing farmers’ confidence and protecting farmers’ homestead property.

  • HUANG Jianwei, CHEN Dongqiang
    Download PDF ( ) HTML ( )   Knowledge map   Save

    In order to verify whether the participation of “profit-seeking” industrial and commercial capital in the transfer of farmland can have an impact on farmers’ behavior of farmland transfer, this study is based on the two perspectives of leasing farmland and providing preferential agricultural services in rural areas, analysing the mechanisms that industrial and commercial to the countryside affect farmers’ behavior of farmland transfer. We used the survey data of 1194 farming households in six cities in Zhejiang, Jiangsu, Anhui, Jiangxi, and Henan Provinces, the bivariate Probit model was used to empirically explore the impact of industrial and commercial capital to the countryside on farmers’ behavior of farmland transfer, and the Instrumental Variables Method was used to deal with endogenous problems. It is found that the leasing farmland by industrial and commercial capital to the countryside will have a significant positive impact on the behavior of farmers of transferring out of farmland, and has no significant impact on the behavior of farmers of transferring in farmland; That is, farmers in the industrial and commercial capital to the countryside to lease farmland showed an obvious tendency to transfer out of farmland. Providing preferential agricultural services of industrial and commercial capital to the countryside will have a significant positive impact on the behavior of farmers of transferring in farmland, and has no significant impact on the behavior of farmers of transferring out of farmland. That is, when industrial and commercial capital to the countryside to provide preferential agricultural services, farmers are more inclined to transfer into farmland. In view of the research conclusions, this article proposed the following two suggestions: improving the mechanism to strengthen the positive impact of industrial and commercial capital to the countryside; taking measures to prevent the potential risks of leasing farmland.

  • GAI Mei, YANG Qingfei, HE Yaning
    Download PDF ( ) HTML ( )   Knowledge map   Save

    Clarifying the spatial and temporal change characteristics and factors that influence the level of agricultural green development in the main grain-producing regions of Northeast China can provide a reference basis for promoting regional agricultural green development. Based on the data of 37 cities in the main grain-producing areas in Northeast China from 2010 to 2019, this study used variable fuzzy recognition model, kernel density estimation model, and spatial Durbin model to measure the level of agricultural green development in the region. The temporal and spatial change characteristics and influencing factors were also explored. The results show that: (1) Temporally, the agricultural green development level showed an overall upward trend, but it is still at a medium development level. Spatially, there is a certain differentiation across the region. There are many cities with relatively high-level development, and they are mainly found in Heilongjiang Province. (2) Each dimension of agricultural green development has shown an upward trend to varying degrees from 2010 to 2019, among them, agricultural economic vitality grew the most, reaching 35.63%; agricultural science and technology innovation grew the least, reaching only 0.61%. The Gini index and coefficient of variation of agricultural technological innovation across the region showed a downward trend, the spatial heterogeneity of other dimensions is significant, and the development is uneven across space. (3) There is a significant contribution of economic development, international trade and information communication to the agricultural green development in the main grain-producing regions of Northeast China, while there is a significant inhibitory effect of industrialization level. In addition, there is a significant negative spatial spillover effect of population density and industrialization level. Finally, based on the research findings and combined with the current situation of agricultural green development in each subregion, targeted policy recommendations were proposed.

  • SUN Piling, QU Lin, LIU Qingguo, XU Yueqing, GONG Qiaoqiao
    Download PDF ( ) HTML ( )   Knowledge map   Save

    Clarifying the spatiotemporal pattern and driving factors of ecological restoration is of great significance for the adjustment of ecosystem structure and the restoration of regional ecological environment in the agro-pastoral ecotone of northern China (AENC). Taking the AENC as an example, this study explored the spatiotemporal differentiation characteristics and driving factors of ecological restoration in the region during 2000-2020 with the methods of returned farmland index, GIS spatial analysis, and geographical detector model. The results show that: (1) The total area of ecological restoration was 27617.84 km2 in the AENC during 2000-2020. The average annual area of ecological restoration was 1380.89 km2, and the returned farmland index was 10.27%. The farmland of the AENC converted by ecological restoration mainly became grassland, forestland, and water areas, accounting for 75.20% of the total area of returned farmland. (2) From 2000 to 2020, the spatial distribution of the ecological restoration area was characterized by remarkable spatial agglomeration in the region. High-value cluster areas tended to be concentrated in mountainous areas and expanded from northeast to southwest. Low-value cluster areas tended to be agglomerated in provincial border regions and urban districts and their surrounding regions, and were shifting to the southeast. (3) The spatiotemporal differentiation of ecological restoration was influenced by natural factors, socioeconomic factors, and policy factors. The impacts of aspect, elevation, number of ecological projects, road network density, and average annual precipitation enhanced continuously, while the influence of ecological control area ratio, urbanization level, and annual average temperature on ecological restoration had weakened. The interaction of driving factors showed significant dual-factor enhancement effect and non-liner enhancement effect on the spatiotemporal differentiation of ecological restoration. Finally, this study provides some scientific references for promoting the optimization of ecosystem structure and ecological civilization construction in the AENC.

  • QU Lulu, LI Yurui, DONG Shijie, CAO Zhi, LIU Jilai, WANG Guangdong
    Download PDF ( ) HTML ( )   Knowledge map   Save

    In-depth research on the characteristics and models of the transformation process of gully farming land on the Loess Plateau can provide scientific reference for the evolution law of human-land relationship and agricultural multi-functional transformation in the region. Taking Yan’an City of the loess hilly and gully region as an example, this study used 12 Landsat TM/OLI images in 2012-2018 and the CART (Classification And Regression Tree) decision tree to extract the distribution information of gully farming land, combined with high-definition remote sensing image data and field investigation, to analyze the process of gully farming transformation in the study area and reveal the internal mechanism of gully farming transformation on the Loess Plateau. The results show that: (1) The gully farming transformation center of gravity in the Yan’an loess hilly and gully region has shifted from 1100~1300 m altitude to the low-altitude area of 800~1100 m, and the slope of the area is 0~16°. (2) Gully farming in the study area is transforming to agglomeration, especially at small spatial scales. Gully farming conversion can be categorized into six regional change patterns on micro and macro scales, and the process of change is mainly driven by socioeconomic and policy factors. (3) Gully farming on the Loess Plateau is gradually transforming from sole agricultural livelihood with extensive utilization of land to intensive utilization under ecological economic development. The transformation from traditional agriculture to modern gully agriculture has diversified the functions of the land and promoted the coordinated and efficient development of the human-land system. The research results not only have important reference value for rural land use transformation, ecological civilization construction, improvement of human settlements, and rural industrial development and transformation of the Loess Plateau, but also have implications for understanding the green and sustainable transformation of the human-land system on the Loess Plateau.

  • SHEN Zhicheng, XU Xinliang, Narigala , WANG Shihao
    Download PDF ( ) HTML ( )   Knowledge map   Save

    Optimizing the land development pattern of urban agglomerations is of great significance for the high-quality development of national territory space. Comparing the land development pattern of Chinese and American urban agglomerations is helpful for broadening our views and deepening our understanding of sustainable development of urban agglomerations. Based on the perspective of comparative study, this study analyzed the differences in land development patterns of six typical urban agglomerations in China and the United States from 2000 to 2020, including the expansion pattern of built-up land, the spatial distribution of land development intensity, and the landscape ecological effects of urban expansion. The results show that from 2000 to 2020, the expansion intensity of built-up land in typical urban agglomerations in China is higher than that in the United States. The expansion type of built-up land in typical urban agglomerations in China is dominated by spatial sprawl at the peripheries, while that in the United States is dominated by filling in the empty spaces within urban areas. However, the proportion of filling-in type expansion in typical urban agglomerations in China is gradually increasing. From the perspective of the spatial distribution of land development intensity at the city scale, the typical urban agglomerations in China present a spatial pattern of polycentric distribution in a single cluster, while the typical urban agglomerations in the United States presents a spatial pattern of polycentric distribution in bands and a network. In addition, the expansion of built-up land in typical urban agglomerations in China mainly encroaches on cultivated land, while the expansion of built-up land in typical urban agglomerations in the United States mainly replaces woodland and grassland. From the perspective of landscape morphology of built-up land, the largest patch index (LPI) and aggregation index (AI) of typical urban agglomerations in China and the United States increased obviously from 2000 to 2020. The results of this study show that the construction of urban agglomerations at different development stages requires a large amount of land, and future development of urban agglomerations needs to improve intensive land development and build compact cities. This study can provide some reference for urban agglomeration land spatial planning and urban agglomeration urbanization process research.

  • ZHAN Hua, HOU Mengting, TAN Feifei
    Download PDF ( ) HTML ( )   Knowledge map   Save

    Green innovation capability is important for achieving innovation-driven high-quality development in China, therefore how to improve the capability of green innovation is an important issue. Considering the rapid development of artificial intelligence, this article presented a theoretical and empirical analysis of the impacts of intelligentization on enterprise green innovation. Using the data of listed companies in the new energy industry, this study tested how artificial intelligence affects the green innovation of enterprises in China. The results show that: (1) Intelligentization can improve the capability of enterprise green innovation significantly, and these effects have a certain time lag; (2) The impacts of intelligentization on enterprise green innovation vary between regions and enterprises; (3) Mechanism test shows that mitigating financing constraints and increasing human capital are the channels through which artificial intelligence can promote green innovation capability. The research results not only offer enlightenment for the integration of intelligentization and ecological governance, but also can provide references for the government to improve green innovation capability.

  • SHEN Junjie, HUANG Shupei
    Download PDF ( ) HTML ( )   Knowledge map   Save

    Copper is an important raw material for industries. In recent years, international copper price has fluctuated frequently and violently. In order to explore the structural shocks of international copper price on China’s industrial economy, this study used the Markov-switching vector autoregression (MSVAR) model and the volatility vector autoregressive model (TVP-SVAR-SV) to decompose the structural shocks of international copper futures prices into supply shocks, aggregate demand shocks, speculative demand shocks, and specific demand shocks. Then, using the London Metal Exchange (LME) copper price data from August 2004 to December 2019, we analyzed the time-varying shocks on China’s industrial economic index (including import price index IMPI, industrial added value IAV, and producer price index PPI). The empirical results show that: (1) The international copper price shocks on China’s industrial economy has different performances in different regional systems, lag periods and special periods. Aggregate demand shocks had the strongest impact on IAV and PPI. Supply shocks had a reverse impact on price rise under different regimes. Speculative demand shocks exacerbated the fluctuations in the import and ex factory prices of industrial products, which became more pronounced during the financial crisis. (2) The structural shocks of copper price on the industrial sector presented a pattern of industrial products’ import price index > producer price index > industrial added values. The duration of various shocks was limited to the short term (four months), and the medium and long-term impact was weak and the direction of shocks was opposite to the short-term effect. These findings may help market regulators to prevent the risk of international copper price fluctuations and make production and price adjustments in the industrial sector, and provide some suggestions for investors to make related investments.

  • DENG Zongbing, LI Liping, WANG Ju, CAO Yufu
    Download PDF ( ) HTML ( )   Knowledge map   Save

    Exploring the regional differences and influencing factors of industrial ecological efficiency in regions with different technological development levels in China is the basic premise for the collaborative construction of industrial ecological civilization. Considering inter-regional technological heterogeneity, this study used the undesirable output slacks-based measure (SBM) model to measure the industrial ecological efficiency and inter-regional technological gap of 30 provinces in China’s mainland from 2008 to 2018 based on the meta-frontier theory. From the two dimensions of source of inefficiency and external environment, the causes and external influencing factors of industrial ecological efficiency loss were systematically analyzed and tested. The research findings are: (1) Under the common frontier, China’s industrial ecological efficiency shows an overall upward trend, with the annual average rising from 0.589 in 2008 to 0.603 in 2018, and there is still some room for improvement. (2) The imbalance of industrial technological level in the eight major economic regions is obvious. The technological level in the inland economic regions is significantly lower than that in the coastal economic regions. The technological gap between the five inland economic regions and the national optimal technological development level is at least 30%. (3) The decomposition of inefficiency shows that the southern and northern coastal regions are of high management inefficiency and low technological inefficiency, while other economic regions and the whole county are of low management inefficiency and high technological inefficiency; The invalidity types of 30 provinces are different, but it is mainly caused by the technological invalidity rate. (4) Economic development level, environmental regulation, and industrial agglomeration promote the improvement of industrial ecological efficiency, while energy structure and foreign investment inhibit improvement; The direction and degree of the influence of environmental factors on the eight economic regions are clearly different, among which the “Porter hypothesis” in the northern coast has been verified, and the “pollution paradise hypothesis” in the middle reaches of the Yangtze River Basin and the southwest has been verified. This study provides a new perspective for exploring the improvement path of industrial ecological efficiency and a reference for the collaborative construction of industrial ecological civilization.

  • LIU Qingrui, TANG Lu
    Download PDF ( ) HTML ( )   Knowledge map   Save

    In the process of urbanization, energy consumption and carbon emissions are becoming increasingly more prominent. Coordinating the relationship between urbanization and energy consumption and controlling the reasonable growth of energy consumption while accelerating the process of urbanization is of great practical significance for China to continue to promote the construction of ecological civilization and achieve green and sustainable development. Based on the provincial panel data from 2005 to 2019, using the system generalized moment estimation method (SYS-GMM) and threshold effect model to analyze the push-pull effect of urbanization on energy consumption and its influencing factors from the demand side and supply side respectively, and analyzes the change rule and transmission mechanism of urbanization’s influence on energy consumption in different stages. The results show that: (1) Urbanization has a push-pull effect on energy consumption, and the overall push-pull effect decreases with the urbanization level from low to high; (2) The main transmission mechanism of urbanization on energy consumption is as follows: On the demand side, the increase of labor force participation rate can stimulate energy consumption, while the increase of human capital agglomeration and total dependency ratio inhibit energy consumption. On the supply side, the adjustment of industrial structure promotes energy consumption, and the improvement of technological innovation level and environmental regulation intensity inhibit energy consumption; (3) Urbanization has a threshold effect on energy consumption, and the transmission mechanism is heterogeneous in different threshold intervals; (4) According to the empirical comparison between China and the Organization for Economic Cooperation and Development (OECD) countries, it is found that the push-pull effect of urbanization on energy consumption is different in the middle and low stages of urbanization, and convergence in the high stage of urbanization. China’s energy consumption pressure mainly comes from the unreasonable industrial structure, the improvement of foreign trade level and the imperfect environmental regulation policies. The key points of future policies are: accelerating the optimization and upgrading of industrial structure; vigorously promote the high-quality development of foreign trade; strengthen the construction of energy science and technology innovation capacity; improve the government’s environmental regulation policies.

  • DENG Guangyao, CHEN Huihui
    Download PDF ( ) HTML ( )   Knowledge map   Save

    Understanding the transfer status and spatial influencing factors of embodied energy consumption of interval industries in China has an impact on promoting industrial energy conservation and balanced development. Based on value-added, this study constructed a multi-industry trade circulation value chain model between provinces, calculated embodied energy and value-added trade of each provinces and used a geographically weighted regression model to explore impact spatial-temporal heterogeneity of geographical distance and other factors on the total embodied energy consumption of domestic traditional, simple and complex trade value chains. The research shows most provinces had highest proportion of embodied energy in meeting local demand for final products, followed by export products. Then the proportion of embodied energy in three domestic trade value chains and the proportion of embodied energy in meeting local demand for final products across regions is smallest. Most regions were expanding scale of export and domestic trade. The overall embodied energy output value in northeast of China and three coastal areas increased; The cost of value-added through value chain in the middle reaches of two rivers was higher; the embodied energy cost of most routes in southwest and northwest of China increased. Among the embodied energy transfer of three value chains, the eastern coastal areas and the middle reaches of the Yellow River had high embodied energy transfer; the northwest of China had low embodied energy transfer; other regions were moderate. Compared with 2012, the impact of economic development level in 2015 on the total embodied energy consumption of most provinces in three domestic value chains turned negative; scientific and technological development level had a positive effect in west of China; the positive effect of industrial transfer and geographical distance on provinces decreased. The results are helpful to explore the circulation of industrial embodied energy in regions, the spatial-temporal characteristics of embodied energy consumption in domestic trade and formulate targeted energy-saving methods.

  • LIU Li, SUN Weilin, JIANG Qian, HUANG Shengnan
    Download PDF ( ) HTML ( )   Knowledge map   Save

    Accurately evaluating the impact of environmental policies on pollution emissions and exploring the policy impact mechanism are an important basis for formulating environmental policies for livestock and poultry breeding. Based on the provincial panel data from 2006 to 2018, this study analyzed the impact of environmental policies on pollution emissions from livestock and poultry breeding in China and its mechanism by applying the difference-in-differences and mediation effect methods. The results show that: (1) A series of environmental policies implemented since 2014 helped to reduce pollution emissions from livestock and poultry breeding. (2) There exist agent heterogeneity and regional heterogeneity in the reduction effects of the environmental policies on pollution emissions. The effect of environmental policies is more obvious in the provinces with higher initial pollution level, higher livestock production value, and in the eastern provinces, but not in the provinces with lower initial pollution level, lower livestock production value, and in the central and western provinces. (3) The implementation of environmental policies can reduce the overall scale of breeding, increase the degree of scaling-up production, and adjust the breeding structure, thereby reducing pollution emissions from livestock and poultry breeding. Although environmental policies can promote the progress of agricultural technology, it is difficult to further reduce the emissions of livestock and poultry breeding pollution. Therefore, in order to improve the policy efficiency, the government should further promote the coordinated prevention and control of regional livestock and poultry pollution through differentiated policies, explore the advantages of large-scale breeding and technological progress, and attach great importance to the pollution prevention and control of pig breeding. This study provides not only a quantitative reference for the optimization and adjustment of environmental policies for livestock and poultry breeding, but also certain theoretical and empirical basis for promoting moderate scale breeding.

  • WEN Jie, LI Hongmei
    Download PDF ( ) HTML ( )   Knowledge map   Save

    The effective management of farmland irrigation systems is of great significance for achieving sustainable agricultural development and ensuring national food security. In this study, the qualitative comparative analysis (QCA) method was used to examine the synergistic effects of resource endowment, institutional rules, culture, and social capital on the governance performance of farmland irrigation systems. The results show that: (1) A single independent factor does not cause a high or non-high level of farmland irrigation system governance performance; (2) The high-level governance performance of farmland irrigation systems can be attributed to three paths: the institution and social capital driven path under the dominance of culture, the culture and social capital driven path under the dominance of resource endowments, and the culture driven path under the dominance of institutional rules. The non-high-level governance performance of farmland irrigation systems has two paths: resource-cultural inhibition, and resource-institution-social capital inhibition; (3) There is an asymmetric relationship between the high and non-high-level governance performance path of farmland irrigation systems, and the reverse of high performance cannot explain non-high performance. The comparison found that the influence of culture and social capital on the high and non-high performance of farmland irrigation system governance is more common; (4) There is an alternative relationship between the incentive system and the constraint system in the high-performance path of farmland irrigation system governance. Cultural norms and institutional rules have an alternative effect on resource endowments and are an effective means to improve governance performance. The research conclusions not only provide a new way of analysis for the multifactor linkage that affect the governance of rural public affairs, but also provide an important theoretical and practical reference for promoting rural revitalization.

  • WANG Shaobo, DUAN Wei, QIN Yafeng, DENG Zhao
    Download PDF ( ) HTML ( )   Knowledge map   Save

    At present, the impact of emergency events such as floods and epidemics on transportation stations is becoming increasingly more obvious. As an important tool for passengers to travel across regions, the connectivity of the high-speed rail network will also suffer varying degrees of impacts. Under this background, this study took the Yangtze River Delta, where the high-speed rail network is relatively mature, as an example, to examine the vulnerability characteristics of the network by simulating the change of network characteristic values under the scenarios of continuous node failure and single node failure. The results show that: (1) The high-speed rail network in the Yangtze River Delta has formed a clear hierarchical structure and a clear networked structure of community organizations. At the same time, the network as a whole presents the complex network characteristics of “small world, multi-centers”. (2) When the top 20% and the middle 20% of the nodes in the ranking of degree values fail, the high-speed rail network structure becomes more loose, the number of connections between nodes increases significantly, the level of direct connection and relative reachability decreases significantly, and the network presents a high vulnerability. However, when the last 20% the nodes in the ranking of degree values fail, the high- speed rail network structure becomes more compact, the level of network agglomeration is improved, the number of connections between nodes is reduced, and the impact on the overall network stability is relatively small. (3) Under the failure of a single node, the impact on the high-speed rail network is relatively controllable, the stability is still high, and the normal operation of the high-speed rail network can basically be maintained. But the impact of different nodes on the vulnerability of the high- speed rail network shows obvious spatial heterogeneity. The network will be more vulnerability when central cities such as Shanghai, Nanjing, Hangzhou, and Hefei are affected, while cities such as Suqian, Taizhou, Ma’anshan, and Huaibei, when affected by emergencies, the impact on network stability is relatively small. In the future, based on the spatial differentiation characteristics of the vulnerability of the high-speed rail network, we should deploy emergency response facilities, plan alternative commuter routes, and build a high-speed rail interconnection alliance to improve the ability of the Yangtze River Delta high-speed rail network to respond to emergencies.