摘要：
An appropriate parking supply in cities should not only satisfy car travel demands but also restrict the number of car trips to reduce congestion and carbon emissions on road networks. This paper analyzes when car owners will abandon car driving based on a survey of the parking experiences of people in Changsha, China. The results indicate that car owners are most likely to abandon driving when the total time expenditure (including the search time and walking time) exceeds 20 min or the walking distance between a car park and a destination exceeds 400 m. In addition, car owners’ decisions regarding different trip purposes (commuting, business, hospital trips, shopping and entertainment activities) are compared. Multinomial logistic regression models and correspondence analysis methods are applied to identify the factors influencing car owners’ decisions. The results show that public transport and the parking pricing level near work places have a substantial impact on people’s decisions: people will more readily abandon driving when the travel time of public transit decreases; age, occupation and annual household income have a significant influence on people’s parking condition preferences for business trips and trips to hospitals; and the factor that primarily influences the mode choice for shopping and entertainment trips is annual household income. The outcome of this study can provide a basis for determining the optimal parking supply level and facilitate the realization of sustainable transportation.
期刊：
POLISH JOURNAL OF ENVIRONMENTAL STUDIES,2019年28(3):1241-1246 ISSN：1230-1485
通讯作者：
Li, Chen
作者机构：
[Li, Chen; Zhang, Yuepeng] Cent S Univ, Sch Business, Changsha, Hunan, Peoples R China.;[Yuan, Baolong] Cent South Univ Forestry & Technol, Sch Business, Changsha, Hunan, Peoples R China.
通讯机构：
[Li, Chen] C;Cent S Univ, Sch Business, Changsha, Hunan, Peoples R China.
关键词：
Chinese ecological construction;green economy;green society;green environment;network data envelopment analysis (network DEA)
摘要：
In this paper, we assess the effect of ecological construction in China during 2008 to 2014. The effect of ecological construction is divided into green economy, green society, and green environment. A network data envelopment analysis (DEA) is employed to measure the total level of ecological construction in China and each region. According to the results, we find that the total level of ecological construction of China is still low. At the same time, there are also significant differences between regions. The regions with a developed economy have better performance on ecological construction. We also find that environmental protection is still the weak link of ecological construction in various regions. Hence, local governments still need to develop a green economy and increase investment on environmental protection in the future - especially on pollution control facilities.
期刊：
Land Use Policy,2019年83:105-112 ISSN：0264-8377
通讯作者：
Hu, Wenmin
作者机构：
[Li, Guo] Cent South Univ Forestry & Technol, Coll Landscape Architecture, Changsha 410004, Hunan, Peoples R China.;[Hu, Wenmin] Cent South Univ Forestry & Technol, Coll Forestry, Changsha 410004, Hunan, Peoples R China.
通讯机构：
[Hu, Wenmin] C;Cent South Univ Forestry & Technol, Coll Forestry, Changsha 410004, Hunan, Peoples R China.
关键词：
Traditional settlement;Landscape network;Minimum cumulative resistance model;Cultural route
摘要：
A trans-regional landscape network of traditional settlements (LNTS) can be used to integrate scattered landscapes and ensure the unified protection of natural and cultural landscapes. The LNTS is superior to traditional settlement protection in local areas, which is not conducive to maintaining the integrity and order of traditional settlement landscapes at the regional level. The main purpose of this research was to construct the LNTS, and three main steps were involved: the selection of the traditional settlements, the restoration of the connectivity of cultural routes, and the identification of the landscape areas. The landscape areas were identified based on the spatial coupling of the landscape character areas and the core areas of traditional settlement cultural diffusion. The landscape character areas were determined based on the identification of landscape characteristics, while the core areas of traditional settlement cultural diffusion were calculated by the minimum cumulative resistance (MCR) model. The LNTS could support the overall protection of the traditional settlement landscapes, enhance the cultural, ecological, tourism and educational values, and promote the cross-regional coordination and cooperation among different management and protection departments. Finally, the LNTS was conducive to protecting the virtuous cycle of traditional settlement protection and regional sustainable development.
摘要：
Promoting firms' eco-innovation through environmental regulation is of great significance to the sustainable development of China's economy. Based on the Porter Hypothesis, this paper used the panel data of 1962 listed Chinese industrial companies from 2004 to 2015 to empirically test the impact of environmental regulation on firm eco-innovation and the moderating effects of fiscal decentralization and political competition. The results showed that (1) without the influences of China's fiscal system and political promotion system, environmental regulation would likely significantly promote firms' eco-innovation as well as firms' eco-investment and eco-planning innovation. (2) Under the influence of China's fiscal decentralization system, environmental regulation has exerted a significant inhibitory impact on firms' eco-innovation as well as on firms' eco-investment and eco-planning innovation. (3) Under the influence of China's 'championship' system of political promotion, environmental regulation has exerted a significant inhibitory effect on firms' eco-innovation and on firms' eco-investment and eco-planning innovation. Finally, this paper provided detailed policy recommendations on how to optimize China's environmental regulatory policy system and how to promote firm eco-innovation. (C) 2018 Elsevier Ltd. All rights reserved.
摘要：
Relaxed open-mouth display serves important social functions in relation to submission, reconciliation, affiliation and reassurance among non-human primate societies; however, quantitative evidence on this behavior remains insufficient among multi-level social groups. From July to November 2016, we examined four potential functions of the relaxed open-mouth display during pairwise, intra-unit social interactions among 18 free-ranging adult and sub-adult golden snub-nosed monkeys (Rhinopithecus roxellana) who belonged to three one-male, multi-female units (OMU) at Dalongtan, Shennongjia National Park, China. Results showed that: compared with no relaxed open-mouth display, (1) the occurrence of displacement by a dominant individual approaching a subordinate was lower and the distance of the subordinate to the approaching dominant was shorter when the subordinate showed open-mouth display; (2) relaxed open-mouth display reduced the probability of continued attack for victims of aggression and allowed victims to achieve closer proximity to the aggressor during post-conflict periods; (3) relaxed open-mouth display by dominant individuals allowed them to achieve closer proximity to subordinates; and (4) the exchange of relaxed open-mouth display had a greater impact on the outcome of interactions than one individual alone giving this signal. These findings suggest that relaxed open-mouth display serves important functions regarding submission, reconciliation, affiliation and reassurance in coordinating social interactions within OMUs in golden snub-nosed monkeys.
关键词：
Track circuit;Fault prediction;Grey theory;Expert system
摘要：
Due to the lack of accurate state judgment and health analysis of equipment operation, track circuit implements the repair and maintenance strategy of fault repair or planned repair. For this reason, a novel track circuit fault prediction method is proposed based on grey theory and expert system. In the proposed method, the feature of grey prediction model is to establish dynamic differential equation and then predict its own development according to its own data. The dynamic prediction model with equal dimension is applied to improve original grey model. Based on the gray models, the expert system is used to simulate human experts to solve the problems in a professional field. It contains man-computer interface, inference engine, knowledge library, knowledge management system, interpretation module and dynamic database. The measurement data show this system can effectively predict several typical faults of HVAP track circuit, and prove the proposed system structure is effective. Such condition-based fault prognostic maintenance mechanism provides an effective solution to improve equipment maintenance efficiency, reduce maintenance cost and reduce equipment fault rate. (C) 2018 Published by Elsevier Inc.
作者机构：
[Shi, Xin; He, Qing; Pei, Nancai] Chinese Acad Forestry, Res Inst Trop Forestry, Guangzhou 510520, Guangdong, Peoples R China.;[Hao, Zezhou; Jin, Jiali; Sun, Ruilin; Zhang, Chang; Qiu, Erfa; Jiang, Shasha; Duan, Wenjun; Gu, Lin; Xu, Xinhui; Wang, Cheng; Jia, Baoquan; Sun, Zhenkai] Chinese Acad Forestry, Res Inst Forestry, Natl Forestry & Grassland Adm, Urban Forest Res Ctr, Beijing 100091, Peoples R China.;[Liao, Juyang] Hunan Forest Bot Garden, Changsha 410114, Hunan, Peoples R China.;[Li, Jianrong] Chinese Acad Sci, South China Bot Garden, Guangzhou 510650, Guangdong, Peoples R China.;[Zhang, Linping] State Forestry Adm Forest Ecosyst Protect & Resto, Key Lab, Nanchang 330045, Jiangxi, Peoples R China.
通讯机构：
[Pei, Nancai] C;Chinese Acad Forestry, Res Inst Trop Forestry, Guangzhou 510520, Guangdong, Peoples R China.
关键词：
Ecosystem-Landscape-Forest framework;Forest City;Interdisciplinary approach;Rapid urbanization;Urban ecosystems;Urban green infrastructure
摘要：
In the Anthropocene, natural resource management approaches, including forestry, have been incorporating cross-disciplinary, multi-functional, and highly technological endeavors. Urban forestry has emerged as a way of adapting natural resource management to city settings. Here we propose a research agenda for more integrative urban forestry with due consideration to forest, landscape, and ecosystem dimensions (i.e., E-L-F framework). We further offer a two-pronged pathway of emerging technologies related to assessing and understanding urban forest ecosystems. Specifically: 1) spatial-level techniques, which include assessment of forest canopy, understory, and belowground functions; and 2) organism-level techniques involving micro-, meso-, and macro- components of forests. We demonstrate this approach with an empirical case study describing China’s current experience with urban forestry approaches. In China, urban forestry has developed rapidly during recent years, incorporating several fundamental principles and adopting a wide range of emerging technologies. Applying the results of this case study in China will help advance modern urban forestry across the globe, and may inspire urban forest researchers, decision makers, and practitioners.
作者机构：
[Liu, Ruoshuang; Zhang, Bo; Chen, Haochun; Xiang, Zuofu] Cent South Univ Forestry & Technol, Coll Life Sci & Technol, Changsha 410004, Hunan, Peoples R China.;[Xiang, Zuofu; Li, M; Li, Ming] Chinese Acad Sci, Inst Zool, Key Lab Anim Ecol & Conservat Biol, Beijing 100101, Peoples R China.;[Fan, Penglai; Xiang, Zuofu] Cent South Univ Forestry & Technol, Inst Evolutionary Ecol & Conservat Biol, Changsha 410004, Hunan, Peoples R China.;[Yang, Wanji; Yao, Hui] Key Lab Conservat Biol Shennongjia Golden Monkey, Shennongjia Forest Dist 442411, Hubei, Peoples R China.;[Grueter, Cyril C.] Univ Western Australia, Sch Human Sci, Crawley, WA 6009, Australia.
通讯机构：
[Xiang, Zuofu; Xiang, ZF; Li, M; Li, Ming] C;Cent South Univ Forestry & Technol, Coll Life Sci & Technol, Changsha 410004, Hunan, Peoples R China.;Chinese Acad Sci, Inst Zool, Key Lab Anim Ecol & Conservat Biol, Beijing 100101, Peoples R China.;Cent South Univ Forestry & Technol, Inst Evolutionary Ecol & Conservat Biol, Changsha 410004, Hunan, Peoples R China.;Chinese Acad Sci, Ctr Excellence Anim Evolut & Genet, Kunming 650223, Yunnan, Peoples R China.
摘要：
While regular allomaternal nursing (suckling) has been documented in a number of rodent and carnivore species, as well as in some prosimians, New World monkeys, and humans, it is not common in Old World monkeys and apes. Here, we present a detailed field study of allomaternal nursing in golden snub-nosed monkeys (Rhinopithecus roxellana, Colobinae). We found that more than 87% of infants were nursed by females other than their mothers. Allomaternal nursing was largely confined to the first 3 months of an infant's life and occurred predominantly between related females who nursed each other's offspring in a reciprocal manner. Allomaternal nursing enhanced infant survivorship and did not have a negative impact on the future reproductive success of allonursers. Our findings expand the taxonomic distribution of allomaternal nursing and provide fresh insight into the possible factors driving evolution of allomaternal nursing behavior in primates, including humans.
期刊：
International Journal of Environmental Research and Public Health,2018年15(5):1032- ISSN：1661-7827
通讯作者：
Zhang, Qiuwen;Zhang, Gui
作者机构：
[Zhang, Xike; Zhang, Qiuwen] Huazhong Univ Sci & Technol, Sch Hydropower & Informat Engn, Wuhan 430074, Hubei, Peoples R China.;[Zhang, Xike; Nie, Zhiping] Hunan City Univ, Sch Municipal & Mapping Engn, Yiyang 413000, Peoples R China.;[Zhang, Gui; Que, Huafei] Cent South Univ Forestry & Technol, Key Lab Digital Dongting Lake Basin Hunan Prov, Changsha 410004, Hunan, Peoples R China.;[Gui, Zifan] Shenzhen Garden Management Ctr, Shenzhen 518000, Peoples R China.
通讯机构：
[Zhang, Qiuwen] H;[Zhang, Gui] C;Huazhong Univ Sci & Technol, Sch Hydropower & Informat Engn, Wuhan 430074, Hubei, Peoples R China.;Cent South Univ Forestry & Technol, Key Lab Digital Dongting Lake Basin Hunan Prov, Changsha 410004, Hunan, Peoples R China.
关键词：
daily land surface temperature;forecasting;data-driven;hybrid model;Ensemble Empirical Mode Decomposition (EEMD);Long Short-Term Memory (LSTM);Neural Network (NN);Dongting Lake basin
摘要：
Daily land surface temperature (LST) forecasting is of great significance for application in climate-related, agricultural, eco-environmental, or industrial studies. Hybrid data-driven prediction models using Ensemble Empirical Mode Composition (EEMD) coupled with Machine Learning (ML) algorithms are useful for achieving these purposes because they can reduce the difficulty of modeling, require less history data, are easy to develop, and are less complex than physical models. In this article, a computationally simple, less data-intensive, fast and efficient novel hybrid data-driven model called the EEMD Long Short-Term Memory (LSTM) neural network, namely EEMD-LSTM, is proposed to reduce the difficulty of modeling and to improve prediction accuracy. The daily LST data series from the Mapoling and Zhijaing stations in the Dongting Lake basin, central south China, from 1 January 2014 to 31 December 2016 is used as a case study. The EEMD is firstly employed to decompose the original daily LST data series into many Intrinsic Mode Functions (IMFs) and a single residue item. Then, the Partial Autocorrelation Function (PACF) is used to obtain the number of input data sample points for LSTM models. Next, the LSTM models are constructed to predict the decompositions. All the predicted results of the decompositions are aggregated as the final daily LST. Finally, the prediction performance of the hybrid EEMD-LSTM model is assessed in terms of the Mean Square Error (MSE), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), Root Mean Square Error (RMSE), Pearson Correlation Coefficient (CC) and Nash-Sutcliffe Coefficient of Efficiency (NSCE). To validate the hybrid data-driven model, the hybrid EEMD-LSTM model is compared with the Recurrent Neural Network (RNN), LSTM and Empirical Mode Decomposition (EMD) coupled with RNN, EMD-LSTM and EEMD-RNN models, and their comparison results demonstrate that the hybrid EEMD-LSTM model performs better than the other five models. The scatterplots of the predicted results of the six models versus the original daily LST data series show that the hybrid EEMD-LSTM model is superior to the other five models. It is concluded that the proposed hybrid EEMD-LSTM model in this study is a suitable tool for temperature forecasting.
期刊：
International Transactions in Operational Research,2018年25(3):831-856 ISSN：0969-6016
通讯作者：
Wang, Jing
作者机构：
[Wang, Jing; Wang, Jian-qiang; Tian, Zhang-peng] Cent S Univ, Sch Business, Management Sci & Informat Management Dept, Changsha 410083, Peoples R China;[Wang, Jing; Zhao, Dong-yan] Cent South Univ Forestry & Technol, Business & Econ Dept, Int Coll, Changsha 410004, Hunan, Peoples R China
通讯机构：
[Wang, Jing] C;Cent S Univ, Sch Business, Management Sci & Informat Management Dept, Changsha 410083, Peoples R China. Cent South Univ Forestry & Technol, Business & Econ Dept, Int Coll, Changsha 410004, Hunan, Peoples R China.
关键词：
multihesitant fuzzy linguistic term sets;prioritized average operators;Heronian mean operators;linguistic decision making
摘要：
In selecting logistics service providers, the evaluation criteria can be easily prioritized and possibly interrelated with each other, and the assessment of alternatives under qualitative criteria is usually accomplished by more than one decision maker. A novel multicriteria decision-making approach with multihesitant fuzzy linguistic term elements (MHFLTEs) based on the Heronian mean (HM) and prioritized average operators can effectively deal with the problems inherent in such a scenario. Multihesitant fuzzy linguistic term sets (MHFLTSs) were proposed on the basis of multihesitant fuzzy sets (MHFSs) and hesitant fuzzy linguistic sets (HFLSs), where each MHFLTE can contain nonconsecutive and repeated linguistic terms. Using MHFLTEs, one decision maker can provide one or several consecutive linguistic terms in evaluating an alternative under one specific criterion, different decision makers' evaluation values can be collected, and the frequency of a linguistic term in the evaluation information can accord with reality. This paper revises the basic operations and comparison method for MHFLTEs on the basis of the originals and defines some multihesitant fuzzy linguistic HM operators for MHFLTEs to deal with problems in which weight information cannot be accurately established for criteria, but their priorities can be provided in groups or without groups. Finally, the validity and effectiveness of the proposed approach are demonstrated through an illustration of a logistics outsourcing problem and a comparison analysis.
通讯机构：
[Gao, Shangce] U;Univ Toyama, Fac Engn, Toyama 9308555, Japan.
摘要：
Nowadays, credit classification models are widely applied because they can help financial decision-makers to handle credit classification issues. Among them, artificial neural networks (ANNs) have been widely accepted as the convincing methods in the credit industry. In this paper, we propose a pruning neural network (PNN) and apply it to solve credit classification problem by adopting the well-known Australian and Japanese credit datasets. The model is inspired by synaptic nonlinearity of a dendritic tree in a biological neural model. And it is trained by an error back-propagation algorithm. The model is capable of realizing a neuronal pruning function by removing the superfluous synapses and useless dendrites and forms a tidy dendritic morphology at the end of learning. Furthermore, we utilize logic circuits (LCs) to simulate the dendritic structures successfully which makes PNN be implemented on the hardware effectively. The statistical results of our experiments have verified that PNN obtains superior performance in comparison with other classical algorithms in terms of accuracy and computational efficiency.
关键词：
Regime-switching model;Dynamic multiple linear regression;Three Gorges Dam;Dongting Lake;Regime shift
摘要：
Better understanding of the dynamics of hydrological connectivity between river and floodplain is essential for the ecological integrity of river systems. In this study, we proposed a regime-switch modelling (RSM) framework, which integrates change point analysis with dynamic linear regression, to detect and date change points in linear regression, and to quantify the relative importance of natural variations and anthropogenic disturbances. The approach was applied to the long-term hydrological time series to investigate the evolution of river-floodplain relation in Dongting Lake in the last five decades, during which the Yangtze River system experienced unprecedented anthropogenic manipulations. Our results suggested that 1) there were five distinct regimes during which the influence of inflows and local climate on lake water level changed significantly. The detected change points were well corresponding to the major events occurred upon the Yangtze; 2) although the importance of inflows from the Yangtze was greater than that of the tributaries flows over the five regimes, the relative contribution gradually decreased from regime 1 to regime 5. The weakening of hydrological forcing from the Yangtze was mainly attributed to the reduction in channel capacity resulting from sedimentation in the outfalls and water level dropping caused by river bed scour in the mainstream; 3) the effects of local climate was much smaller than these of inflows; and 4) since the operation of The Three Gorges Dam in 2006, the river-floodplain relationship entered a new equilibrium in that all investigated variables changed synchronously in terms of direction and magnitude. The results from this study reveal the mechanisms underlying the alternated inundation regime in Dongting Lake. The identified change points, some of which have not been previously reported, will allow a reappraisal of the current dam and reservoir operation strategies not only for flood/drought risk management but also for the maintenance and restoration of the regional ecological integrity. (C) 2018 Elsevier B.V. All rights reserved.
