作者机构：
[Luo, Qiao; Yu, Hongbing] Hunan City Univ, Coll Architecture & Urban Planning, Yiyang 413000, Peoples R China.;[Luo, Qiao; Yu, Hongbing] Hunan City Univ, Coll Architecture & Urban Planning, Lab Key Technol Digital Urban Rural Spatial Planni, Yiyang 413000, Peoples R China.;[Li, Yong] Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Atmospher Boundary Layer Phys & Atmo, Beijing 100029, Peoples R China.;[Jiang, Shufang; Cao, Xueyou] Forestry Bur Yiyang City, Yiyang 410004, Peoples R China.
通讯机构：
[Li, Y ] C;Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Atmospher Boundary Layer Phys & Atmo, Beijing 100029, Peoples R China.
关键词：
South Dongting Lake Nature Reserve;blue space;green space;precipitation;air temperature
摘要：
In recent years, the water level of the Dongting Lake (DTL) has been continuously low, and the wetland area and landscape pattern have changed significantly. Considering the obvious spatial heterogeneity of water regime changes in different waters of the DTL, this paper takes two core areas of the South Dongting Lake Nature Reserve (SDLNR) as study areas and analyzes the spatial distribution characteristics of the wetland blue–green landscape patterns by using remote sensing image data and hydrological and meteorological data. The multi-scale correlation between runoff, precipitation, temperature, and evapotranspiration in the SDLNR was studied via cross-wavelet transform analysis. The results show the following: (1) The change in the blue–green spatial patterns in different regions in different periods is inconsistent, and this inconsistency is related to the topography, climate, and human activities in each region; (2) there are seasonal fluctuations in precipitation, air temperature, and evapotranspiration in the SDLNR. Among them, the annual mean temperature shows a rising trend and passes the significance test with 95% confidence, while the annual mean precipitation and annual mean evapotranspiration show no significant change trend; and (3) our Pearson correlation analysis and cross-wavelet change results show that precipitation and temperature are strongly correlated with runoff, with a resonance period of 8–16 months, while the correlation between evapotranspiration and runoff is not significant. We recommend that policymakers establish an effective early warning system and make plans to store water through micro-terrain transformation in possible climate change treatments and strategies.
期刊：
Frontiers in Environmental Science,2023年11:1270921 ISSN：2296-665X
通讯作者：
Ning, QM
作者机构：
[Ji, Qianfu; Yang, Hua; Zhou, Hui; Song, Qidi; Lai, Nan] Hunan Prov Terr Space Survey & Monitoring Inst, Changsha, Peoples R China.;[Ning, Qimeng; Zeng, Zhiwei; Ning, QM] Hunan City Univ, Coll Architecture & Urban Planning, Yiyang, Peoples R China.
通讯机构：
[Ning, QM ] H;Hunan City Univ, Coll Architecture & Urban Planning, Yiyang, Peoples R China.
关键词：
Urban-water coupling;Water ecological space;Resilience control;digitalization;Dongting Lake area
摘要：
Introduction: The construction of digital governance of national land space depends greatly on the development of a digital model for robust control of water and ecological space. However, how changes to the urban-water coupling relationships affect the resilience control of water ecological space is rarely reported.Methods: The evolution characteristics of urban and water space in the study area from 2000 to 2020 and the correlation between them are analyzed based on the grid analysis using InVEST and Moran'I methods. Based on the theory of human-environment interaction territorial system to provide a theoretical framework to explain the urban and water space. We used digital to construct an resilience control framework in the Dongting Lake area based on the correlation between the urban and water space.Results: The results show that: 1) From 2000 to 2020, the geographical evolution of towns and cities in the research area displayed obvious spatial variation in intensity, indicating a process of expansion and change. The regional and temporal fluctuations of the water conservation function are significant. The mountainous areas in the east, south, and northwest are where the high values of the water conservation function are primarily found. These regions have more vegetation, which increases the water conservation function. 2) According to the results of local binary spatial autocorrelation analysis, it can be seen that from 2000 to 2020, the high-high agglomeration of town space and water-related is mainly distributed in Linxiang City, Yueyang County, Miluo City, Li County, and Yiyang City, and the low-low agglomeration is mainly distributed in Dongting Lake, Datong Lake, and along the Yangtze River. 3) Based on how urban spatial evolution affects water ecological space, we construct a theoretical framework of urban-water coupling and establish a digital model of water ecological space resilience control in the Dongting Lake area from four perspectives: threshold, visualization, dynamics, and intelligence.
作者机构：
[Xie, Liang; Lin, Xiang; Li, Zhe; Liu, Zhezheng; Jiang, Jishui] Cent South Univ, Sch Architecture & Art, Changsha 410075, Peoples R China.;[Xie, Liang; Lin, Xiang; Li, Zhe; Liu, Zhezheng; Jiang, Jishui] Cent South Univ, Hist Heritage Conservat Res Ctr, Changsha 410075, Peoples R China.;[Jiang, Jishui] Hunan City Univ, Sch Architecture & Urban Planning, Yiyang 413000, Peoples R China.
通讯机构：
[Li, Z ] C;Cent South Univ, Sch Architecture & Art, Changsha 410075, Peoples R China.;Cent South Univ, Hist Heritage Conservat Res Ctr, Changsha 410075, Peoples R China.
关键词：
western Hunan region;Dong;traditional settlement;fire prevention study;Pyrosim simulation
作者机构：
[Jialing Li; Haihong Li; Jiayi Huang] Key Laboratory of Key Technologies of Digital Urban-Rural Spatial Planning of Hunan Province, Department of Urban and Rural Planning, College of Architecture and Urban Planning, Hunan City University, Yiyang, People’s Republic of China
通讯机构：
[Jialing Li] K;Key Laboratory of Key Technologies of Digital Urban-Rural Spatial Planning of Hunan Province, Department of Urban and Rural Planning, College of Architecture and Urban Planning, Hunan City University, Yiyang, People’s Republic of China
期刊：
Advances in Transportation Studies,2023年1(Special Issue):111-122 ISSN：1824-5463
通讯作者：
He, C.
作者机构：
[Xiong H.H.] School of Architecture and Urban planning, Hunan City University, Yiyang, 413000, China;Department of Architecture and Art, Central south University, Changsha, 410012, China;[He C.] School of Architecture, Changsha University of Science and Technology, Changsha, 410114, China;[Dissanayake S.] College of Engineering, Kansas State University, Manhattan, KS 66506, United States;[Jiang J.S.] School of Architecture and Urban planning, Hunan City University, Yiyang, 413000, China, Department of Architecture and Art, Central south University, Changsha, 410012, China
通讯机构：
[He, C.] S;School of Architecture, China
关键词：
balanced distribution;fuzzy ant colony algorithm;mixed traffic flow;urban roads
作者机构：
[Liu, Bin] Hunan Normal Univ, Sch Geog Sci, Changsha 410081, Peoples R China.;[Liu, Bin; Yi, Chun] Hunan City Univ, Coll Architecture & Urban Planning, Yiyang 413000, Peoples R China.;[Liu, Bin; Yi, Chun] Key Lab Digital Urban & Rural Spatial Planning Hun, Yiyang 413000, Peoples R China.;[Lu, Chan] Cent South Univ, Sch Architecture & Art, Changsha 410075, Peoples R China.;[Lu, Chan] Hunan Univ Technol, Sch Urban & Environm, Zhuzhou 412007, Peoples R China.
通讯机构：
[Chan Lu] S;School of Architecture and Art, Central South University, Changsha 410075, China<&wdkj&>School of Urban and Environment, Hunan University of Technology, Zhuzhou 412007, China<&wdkj&>Author to whom correspondence should be addressed.
关键词：
green and low-carbon;research hotspot;research stage;content system;China;rural area
摘要：
Green and low-carbon rural development (GLRD) is becoming an important way to explore sustainable development in rural areas of China. It is significant for the sustainable development of the rural economy and of society to build a rural carbon sink system, advocate low-carbon emissions in rural areas, and promote the development of rural green industries and rural transformation. In this study, the existing knowledge system of GLRD was analyzed using CiteSpace. Keywords related to GLRD and their occurrence frequency were identified using keyword co-occurrence analysis. The knowledge evolution stages of GLRD were explored using citation burst analysis. Thus, the evolution of the research related to GLRD was revealed. The summary of Chinese GLRD-related research literature shows that: (1) according to the CiteSpace analysis, the GLRD research can be divided into three stages: starting, rising, and expanding and deepening; (2) GLRD research has focused on low-carbon development, green development, and then green and low-carbon integrated development, thus forming three major research content systems; (3) GLRD’s research content gradually became rich, as over time, the research focus became increasingly prominent and research integration was gradually strengthened; (4) the GLRD literature still has some limitations, e.g., nonunified measurement standards, insufficient research depth and practical significance, and relatively weak innovative policy research; (5) future research should strengthen the scientific evaluation and prediction of rural green and low-carbon functions. The industrial development pathways and regional characteristic modes of GLRD should be further studied. Innovative GLRD policies should be proposed to provide a theoretical basis and decision-making reference for GLRD and construction.
作者机构：
[Zhao, Yunlin; Xu, Zhenggang; Mo, Wenbo] Cent South Univ Forestry & Technol, Key Lab Forestry Remote Sensing Based Big Data & E, Changsha 410004, Peoples R China.;[Yang, Nan] Hunan City Univ, Coll Architecture & Urban Planning, Lab Key Technol Digital Urban Rural Spatial Planni, Yiyang 413000, Peoples R China.;[Mo, Wenbo; Yang, Nan] Hunan City Univ, Hunan Prov Engn Res Ctr DongTing Lake Reg Ecol Env, Yiyang 413000, Peoples R China.
通讯机构：
[Nan Yang] L;Laboratory of Key Technologies of Digital Urban-Rural Spatial Planning of Hunan Province, College of Architecture & Urban Planning, Hunan City University, Yiyang 413000, China<&wdkj&>Hunan Provincial Engineering Research Center of DongTing Lake Regional Ecological Environment Intelligent Monitoring and Disaster Prevention and Mitigation Technology, Hunan City University, Yiyang 413000, China
关键词：
Bootstrap method;Landscape pattern;Landscape threshold;Redundancy analysis;Water source area
摘要：
It is important to capture passengers’ public transit behavior and their mobility to create profiles, which are critical for analyzing human activities, understanding the social and economic structure of cities, improving public transportation, assisting urban planning, and promoting smart cities. In this paper, we develop a generative adversarial machine learning network to characterize the temporal and spatial mobility behavior of public transit passengers, based on massive smart card data and road network data. The Apriori algorithm is extended with spatio-temporal constraints to extract frequent transit mobility patterns of individual passengers based on a reconstructed personal trip dataset. This individual-level pattern information is used to construct personalized feature vectors. For regular and frequent public transit passengers, we identify similar transit mobility groups using spatio-temporal constraints to construct a group feature vector. We develop a generative adversarial network to embed public transit mobility of passengers. The proposed model’s generator consists of an auto-encoder, which extracts a low-dimensional and compact representation of passenger behavior, and a pre-trained sub-generator containing generalization features of public transit passengers. Shenzhen City is taken as the study area in this paper, and experiments were carried out based on smart card data, road network data, and bus GPS data. Clustering analysis of embedding vector representation and estimation of the top K transit destinations were conducted, verifying that the proposed method can profile passenger transit mobility in a comprehensive and compact manner.
期刊：
Frontiers in Environmental Science,2023年11:1200513 ISSN：2296-665X
通讯作者：
Yang, H.
作者机构：
College of Architecture and Urban Planning, China;Key Laboratory of Key Technologies of Digital Urban-Rural Spatial Planning of Hunan Province, China;Key Laboratory of Urban Planning Information Technology of Hunan Provincial Colleges, China;Hunan Provincial Territorial Space Survey and Monitoring Institute, China;[Ning, Qimeng; Zeng, Zhiwei] College of Architecture and Urban Planning, Hunan City University, Yiyang, China, Key Laboratory of Key Technologies of Digital Urban-Rural Spatial Planning of Hunan Province, Yiyang, China, Key Laboratory of Urban Planning Information Technology of Hunan Provincial Colleges, Yiyang, China
通讯机构：
[Yang, H.] H;Hunan Provincial Territorial Space Survey and Monitoring InstituteChina
关键词：
water-ecological space;Structure-function;Monitoring and control;Dongting Lake;Territorial spatial planning
作者机构：
[Jie Yan; Chaohui Zheng] School of Architecture and Urban Planning, Hunan City University, Yiyang, People’s Republic of China;College of Urban and Environmental Science, Central China Normal University, Wuhan, People’s Republic of China;[Hui Tang] School of Architecture and Urban Planning, Hunan City University, Yiyang, People’s Republic of China<&wdkj&>College of Urban and Environmental Science, Central China Normal University, Wuhan, People’s Republic of China
通讯机构：
[Jie Yan] S;School of Architecture and Urban Planning, Hunan City University, Yiyang, People’s Republic of China
关键词：
coupling coordination degree;Healthy;supply and demand matching;the central urban area of Yiyang;urban park green space
