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Mobility-as-a-Service (MaaS) system becomes a significant part of urban transportation network system based on the information and communication technologies, but rarely received attention in tourism transport. This paper explored the impact of travel mode preferences on habitual choice behavior for MaaS in tourism, and an online survey and stated preference experiments were designed and carried out. Respondents were divided into three categories including strictly preference (SP) group, weak preference (WP) group, and no preference (NP) group, accounting for 25.09%, 72.24%, and 2.67% respectively. Estimation results of the mode choice random parameter logit (RPL) models indicate that explanatory variables of the alternatives (e.g., the total travel time, in-vehicle cost, and walking distance) only affect the travel mode choices for WP group, which are insensitive to the SP group and NP group. Marginal effect analysis shows that mode choice preferences for MaaS are influenced as tour experience and daily travel habits change. [ABSTRACT FROM AUTHOR]

The structure of renewable energy (RE) development varies substantially across China's provinces, and the spatio-temporal pattern evolution is too pronounced to allow direct comparisons. Therefore, a reasonable method for RE efficiency estimation is important. Markov and spatial Markov chains can be used to analyze the evolution of the temporal and spatial patterns of provincial RE. Simultaneously, data envelopment analysis game cross-efficiency evaluation can quantify the RE generation efficiency of each province from the perspective of competition. Nine factors were selected to identify the key influencing factors the RE generation efficiency. From the perspective of spatio-temporal heterogeneity, a geographically and temporally weighted regression model was combined for spatial modeling. Results show a significant change in the categories of wind and solar power installations, a medium change in biomass installations, and a small change in hydropower installations. Two-thirds of the provincial RE generation efficiency increased from 2015 to 2020. There is spatio-temporal heterogeneity regarding the impact of various factors on the RE generation efficiency: The impact of technology market transactions exhibits the greatest inter-provincial variation and the impact of electricity industry investment exhibits the smallest inter-provincial variation. [ABSTRACT FROM AUTHOR]

• Establishing HWPS investment limitation and suitability assessment indicator systems. • Determination of expert weights using dynamic social networks. • TIFN was used to quantify the qualitative indicators. • Combining BWM and CRITIC combination weighting and TODIM to rank the alternatives. • Investment suitability assessment of 62 completed hydropower plants in China. The hydropower-wind-photovoltaic-storage (HWPS) complementary system is one of the essential ways for China to build a new type of power system and to realize the dual-carbon goal. However, China's HWPS complementary system is still in the exploratory stage, and it is important to propose a rational multi-attribute decision-making (MADM) framework for investment suitability assessment based on completed hydropower plants. Therefore, this study first established a limitation indicator system for preliminary screening hydropower plants and an HWPS investment suitability assessment indicator system containing six dimensions: nature, market, infrastructure, land, society, and environment. Second, the weights among experts were determined based on the dynamic social network, and a mechanism for updating expert weights was proposed. Again, triangular intuitionistic fuzzy number (TIFN) was used to quantify the qualitative indicators and combined the weights according to the best-worst method (BWM) and criteria importance through intercriteria correlation (CRITIC) methods. Finally, the TODIM (an acronym in Portuguese for interactive and MADM) method was used for scheme suitability assessment with sensitivity analysis and method comparison. The results show that 62 eligible hydropower plants were preliminarily screened out of 647 completed medium- and large-scale hydropower plants in China by combining GIS technology. Natural factors are the most important of the six dimensions, followed by social factors. According to the suitability assessment results of TODIM, #23 hydropower station has the highest suitability for HWPSCS investment, which provides a reference for the layout of China's HWPS complementary system. With different decision makers' risk preferences and different MADM methods, #23 hydropower plant is still the best investment option, which proves the effectiveness of the MADM framework proposed in this study. [ABSTRACT FROM AUTHOR]

Plant growth environment plays an important role in shaping soil microbial communities. To understand the response of soil rhizosphere microbial communities in Oplopanax elatus Nakai plant to a changed growth conditions from natural habitation to cultivation after transplant. Here, a comparative study of soil chemical properties and microbial community using high-throughput sequencing was conducted under cultivated conditions (CT) and natural conditions (WT), in Changbai Mountain, Northeast of China. The results showed that rhizosphere soil in CT had higher pH and lower content of soil organic matter (SOM) and available nitrogen compared to WT. These changes influenced rhizosphere soil microbial communities, resulting in higher soil bacterial and fungi richness and diversity in CT soil, and increased the relative abundance of bacterial phyla Acidobacteria, Chloroflexi, Gemmatimonadetes, Firmicutes and Patescibacteria, and the fungi phyla Mortierellomycota and Zoopagomycota, while decreased bacterial phyla Actinobacteria, WPS-2, Gemmatimonadetes, and Verrucomicrobia, and the fungi phyla Ascomycota, and Basidiomycota. Redundancy analysis analysis indicated soil pH and SOM were the primarily environmental drivers in shaping the rhizosphere soil microbial community in O. elatus under varied growth conditions. Therefore, more attention on soil nutrition management especially organic fertilizer inputs should be paid in O. elatus cultivation. [ABSTRACT FROM AUTHOR]

Increasing carbon emissions efficiency (CEE) is essential for Chinese cities to achieve their dual carbon goals. For cities with higher CEE, it is crucial to comprehensively evaluate their carbon emissions reduction potential (CERP) and develop targeted carbon reduction paths. This study first determined the input, expected output, and non-expected output indicators and used the super-efficiency Slack Based Measure model to calculate the CEE of 336 cities. Secondly, we evaluated the urban development level, structural optimization space, and natural resource endowment using the BWM-CRITIC-TOPSIS method and combined them with CEE to evaluate the CERP. Finally, we used K-means clustering to group cities according to the carbon emissions level and CERP and proposed targeted emission reduction recommendations. The results showed that cities in the northern part of China had lower CEE, while the coastal areas had higher CEE. In the primary indicators of CERP, structural optimization space was the most important, followed by efficiency improvement space. The eastern region has a greater potential for carbon reduction, with an average score of 63.71 points (out of 100 evaluation points) for the 336 cities. The cities could be classified into nine types, with the ninth category being the key focus cities for achieving the 2030 carbon peak goal with high carbon emissions and CERP. [ABSTRACT FROM AUTHOR]

To promote renewable energy consumption and achieve China's low-carbon energy transition, in 2019, China proposed the weight of consumption responsibility (WCR) for renewable energy in each province. This study aims to explore the micro-market behavior of new energy manufacturers in the context of WCR policy. A two-market bidding model for new energy manufacturers is first proposed, and a two-stage compound differential evolutionary game algorithm is proposed for solving the multi-party game problem. By selecting typical electricity demand scenarios, the evolution of new energy manufacturers' strategies in the electricity market and green certificate market as well as under different WCR and different thermal power unit parameters are analyzed. The research results show that when the non-hydropower WCR is relatively low, new energy manufacturers tend to adopt a low-price strategy for generation quotation and a low volume high price strategy for green certificate sales. Other conditions being unchanged, with the increase in non-hydropower WCR, all new energy manufacturers will still adopt a low-price strategy in the electricity market. New energy manufacturers with high installed capacity will increase progressively their certificate quotation. The higher output lower limit for thermal units is not conducive to electricity market bidding by new energy manufacturers. • A two-market bidding model for new energy manufacturers is established. • A two-stage compound differential evolutionary game algorithm for new energy manufacturers is proposed. • The optimal strategy of two-market bidding for new energy manufacturers is empirically analyzed. • The bidding strategies under different consumption responsibility weights are discussed. [ABSTRACT FROM AUTHOR]

Amidst urbanization and industrialization in China, abandoned farmland plays a crucial role in safeguarding plant diversity within agricultural landscapes. This study aimed to examine the patterns of seasonal variation in plant diversity within abandoned farmland habitats in the Huang–Huai Plain region. Nonparametric tests were employed to analyze plant species diversity and phylogenetic diversity across seasons. Redundancy analysis and linear regression were conducted to examine the associations between plant species composition, species diversity, phylogenetic diversity, and soil environmental factors. Our results showed that plant species diversity, richness, and phylogenetic diversity were highest in spring, followed by summer, and lowest in autumn. The phylogenetic structure of plant communities demonstrated a tendency to diverge in spring, become random in summer, and cluster in autumn. Soil available potassium and soil organic matter emerged as important factors influencing plant species composition. The content of soil organic matter and ammonium nitrogen level exhibited a significantly positive correlation with the species diversity and phylogenetic diversity of plants. This study underscores the significance of considering seasonal and temporal scales when investigating plant diversity and provides a theoretical basis for biodiversity conservation in agricultural landscapes. [ABSTRACT FROM AUTHOR]

Facing the problem of energy shortage and the responsibility of carbon reduction, to achieve sustainable regional economic development, renewable energy must be vigorously developed. Technology can not only boost the development of renewable energy but be a new driving force for the economy. However, the development of the economy, technology, and renewable energy are interrelated, and the coupling and coordination among them lack sufficient evaluation and analysis. Therefore, an evaluation index system is constructed for the economy–technology–renewable energy ternary group. The evaluation model is applied to measure the coupling coordination degree, and a geographically weighted regression model is used to analyze the influence of key factors and their spatial differences. 30 provinces in China are used as examples for the study, and the results show that the coupling coordination degree is low in most regions, except for Guangdong, which has been maintained at an extremely coordinated level, and most provinces are in a fluctuating upward trend during the decade. Additionally, the results of the geographically weighted regression report that the influence of factors has spatial heterogeneity. The study provides a basis for relevant policy formulation in China, and the evaluation and analysis ideas can provide a reference for other countries or regions. [ABSTRACT FROM AUTHOR]

In order to achieve sustainable development goals, China has further increased its goal of reducing carbon intensity and has made digitalization an important support for sustainable development. However, the impact of digitalization on carbon intensity reduction is still unclear. In this context, this paper first evaluates the digitalization level of 30 provincial regions in China and then constructs a spatial Durbin model for two stages, 2012–2015 and 2016–2019, so as to explore the spatial spillover effects of carbon intensity in different stages and the important roles of digital infrastructure and digital inputs in carbon intensity reduction. The main findings are as follows: (1) the current digitization level of each province in China is widely disparate, with the region showing a high level in the east and a low level in the west; (2) carbon intensity reduction has a significant spatial spillover effect, as shown by a 1% reduction in local carbon intensity and a 0.21% reduction in neighboring regions; and (3) digitalization has a more significant positive impact on the reduction in carbon intensity in stage 2. The research results are strong demonstration that digitalization drives sustainable development. [ABSTRACT FROM AUTHOR]

The coordinated development of upstream, midstream, and downstream of wind power industry chain is the key to solve the problem of wind power consumption. Therefore, this paper firstly constructs the performance evaluation index system of the upstream, midstream, and downstream of the wind power industry chain, and evaluates the performance of the upstream, midstream, and downstream of the wind power industry based on entropy weight-TOPSIS. Secondly, the coupling coordination degree (CCD) model between subsystems of wind power industry chain is established to dynamically evaluate the CCD between upstream and midstream, midstream and downstream, and among three subsystems of wind power industry chain. Finally, taking the development data of China's wind power industry from 2010 to 2019 as an example, the coupling coordination degree between subsystems is empirically studied. The results show that: the overall performance of wind power industry chain has a tortuous upward trend; the coupling degree (CD) of each subsystem is better than that of 2011 and 2012; The CCD of upstream and midstream of wind power industry chain fluctuates more than that of midstream and downstream and that of three subsystems. • The performance evaluation index of the upstream, midstream and downstream of the wind power industry chain is established. • Entropy weight-TOPSIS method is used to evaluate the performance of wind power industry chain. • The coupling coordination degree model between subsystems of wind power industry chain is established. • The coupling coordination degrees between subsystems of wind power industry chain are dynamically evaluated. [ABSTRACT FROM AUTHOR]

This study focuses on the significance of improving the land degradation of Mu Us Sandy Land to increase cultivated land area and promote ecological green development. The research objects were four kinds of mixed soils, and rhizosphere soils were collected during the crop harvesting period. The volume ratio of soft rock to sand was 0:1 (control check, CK), 1:5 (composite soil one, PS1), 1:2 (composite soil two, PS2), and 1:1 (composite soil three, PS3). The results showed that the large aggregates were primarily mechanically stable aggregates, while the small aggregates were mainly water-stable aggregates. The soft rock promoted the increase of clay and silt content in sandy soil, and the soil texture changed from sand to loam. The contents of organic matter, available phosphorus, and available potassium increased significantly under PS2 and PS3 treatments, but there was no significant difference between them. Total nitrogen had no significant difference among treatments. Actinobaciota, Proteobateria, and Chloroflexi were the dominant bacteria in rhizosphere soil, accounting for about 75% of all microorganisms. At the Genus level, the soft rock contributes to richer species composition. The diversity index, evenness index, and richness index was higher in PS1, and the available phosphorus and available potassium content promoted the increase of diversity. Therefore, when the proportion of soft rock and sand compound soil is between 1: 5 and 1: 2, it can be used as an important basis and technical parameter for Mu Us Sandy Land improvement. [ABSTRACT FROM AUTHOR]

China is an ancient civilization. History has left us with a rich cultural heritage, of which ancient cultural sites account for a large proportion. As far as the current scientific research and technology are concerned, due to the particularity and complexity of the humid environment, the protection of ancient cultural sites in the humid environment is still an important topic before us. The research topic involved in this article is about the application of composite nano-calcium-based materials for the reinforcement and protection of soil sites in humid environments. Combined with the development of the research content of this article, the research thinking of the thesis is also adjusted accordingly, making the analysis and solution of the problem clearer. The first is a conceptual study, expounding the relevant concepts in this article. The main purpose is to sort out and study the reinforcement and protection measures and methods of relevant sites and ancient cultural sites, as well as the classification, characteristics, and protection value of ancient cultural sites. Through the analysis and research of these aspects, the composite nano-calcium bases for ancient cultural sites in the subsequent humid environment is proposed based on material basic information. The second is a descriptive research, qualitative and quantitative analysis of humid environment. On the basis of summarizing previous researches, this paper mainly conducts qualitative and quantitative analysis on the judgment of humid environment, the influence mechanism on ancient cultural sites, and the main diseases. Then, it is analytical research, studying the main diseases and causes of the underground palace site in the engineering case, and it is concluded that it is mainly affected by the combined effect of the characteristics of the site's soil and the environment. Through the collection of data from the site survey, field test, and indoor experiment of the underground palace site, the preservation status of the site is collected, and the disease problems faced by the site were analyzed, making it more difficult to protect. The main problem facing the protection of soil relics in humid environment, that is, the research focus, is the research on the development and applicability of reinforcement protection materials. This article attempts to explore the protective effect of composite nano-calcium-based materials on wet sites. Practical research was conducted to verify the feasibility of composite nano-calcium-based materials in practice through indoor site soil simulation. After the completion of a series of experiments, the applicability and compatibility of the composite nano-calcium-based material to strengthen the wet site soil was verified through data analysis, data collection, and mechanism discussion. The experimental results show that the sample with a solid content of 0.4% composite nano-calcium matrix has better salt and alkali resistance. Moreover, the unconfined compressive strength growth rate of 0.4% of the samples has a qualitative improvement over other solid content samples. [ABSTRACT FROM AUTHOR]