FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4295067612> ?p ?o ?g. }

• W4295067612 endingPage "1479" @default.
• W4295067612 startingPage "1479" @default.
• W4295067612 abstract "The unique high/cold environment of the Qinghai–Tibet Plateau (QTP) limits the natural distribution of the population living there and threatens local residents’ health. Thus, exploring the quality of human settlements in this area is of great significance. In this study, 5 first-level indicators and 25 second-level indicators were initially selected, and the entropy TOPSIS method was used to determine the weight of each indicator and evaluate the quality of the human settlements in each county of the QTP. Then, the coefficient of variation and spatial autocorrelation were used to analyze the spatial differences in human settlement quality. Finally, the obstacle degree model was used to identify those obstacles that affect the quality of the human settlements in the QTP. This study has gathered important findings. (1) The human settlement quality in these counties can be divided into 18 high-level areas, 45 mid- and high-level areas, 44 mid-level areas, 79 mid- and low-level areas, and 28 low-level areas. (2) In terms of spatial patterns, the north is higher than the south, the east is slightly higher than the west, and the surrounding area is higher than the interior. (3) In the clustering model, the high–high clustering trend is mainly concentrated in the north of the QTP, whereas the south-central part of the QTP and the zone where Tibet, Qinghai, and Sichuan meet exhibit obvious low–low clustering. (4) The variability of human settlement quality occurs in the order of Sichuan < Yunnan < Gansu < Xinjiang Autonomous Region < Tibet Autonomous Region < Qinghai. (5) The main first-level obstacles affecting human settlement quality in the counties of the QTP are living conditions, construction level of public service facilities, and infrastructure. The main second-level obstacles are the number of living service facilities, the number of residential districts, and the density of the road networks." @default.
• W4295067612 created "2022-09-10" @default.
• W4295067612 creator A5016304163 @default.
• W4295067612 creator A5032727768 @default.
• W4295067612 creator A5037749622 @default.
• W4295067612 creator A5060820955 @default.
• W4295067612 creator A5063018750 @default.
• W4295067612 creator A5072861069 @default.
• W4295067612 creator A5073775434 @default.
• W4295067612 date "2022-09-04" @default.
• W4295067612 modified "2023-10-18" @default.
• W4295067612 title "Quality Evaluation and Obstacle Identification of Human Settlements in the Qinghai–Tibet Plateau Based on Multi-Source Data" @default.
• W4295067612 cites W1700032224 @default.
• W4295067612 cites W2039928942 @default.
• W4295067612 cites W2079557533 @default.
• W4295067612 cites W2083625922 @default.
• W4295067612 cites W2118404435 @default.
• W4295067612 cites W2122652499 @default.
• W4295067612 cites W2130072952 @default.
• W4295067612 cites W2160375957 @default.
• W4295067612 cites W2285124440 @default.
• W4295067612 cites W2326394492 @default.
• W4295067612 cites W2361890985 @default.
• W4295067612 cites W2396198725 @default.
• W4295067612 cites W2460337764 @default.
• W4295067612 cites W2762450889 @default.
• W4295067612 cites W2766590402 @default.
• W4295067612 cites W2773935918 @default.
• W4295067612 cites W2790961276 @default.
• W4295067612 cites W2793311842 @default.
• W4295067612 cites W2810983930 @default.
• W4295067612 cites W2888126722 @default.
• W4295067612 cites W2905469074 @default.
• W4295067612 cites W2937226634 @default.
• W4295067612 cites W2941070879 @default.
• W4295067612 cites W2973991545 @default.
• W4295067612 cites W2979427396 @default.
• W4295067612 cites W3017274612 @default.
• W4295067612 cites W3020715677 @default.
• W4295067612 cites W3021406090 @default.
• W4295067612 cites W3023056148 @default.
• W4295067612 cites W3036297416 @default.
• W4295067612 cites W3081094614 @default.
• W4295067612 cites W3084050489 @default.
• W4295067612 cites W3094623003 @default.
• W4295067612 cites W3095383356 @default.
• W4295067612 cites W3110703408 @default.
• W4295067612 cites W3120300465 @default.
• W4295067612 cites W3129100994 @default.
• W4295067612 cites W3152077214 @default.
• W4295067612 cites W3156360766 @default.
• W4295067612 cites W3158248111 @default.
• W4295067612 cites W3163185496 @default.
• W4295067612 cites W3173495253 @default.
• W4295067612 cites W3187939365 @default.
• W4295067612 cites W3201354375 @default.
• W4295067612 cites W3203612488 @default.
• W4295067612 cites W4200199450 @default.
• W4295067612 cites W4206649821 @default.
• W4295067612 cites W4210785106 @default.
• W4295067612 cites W4220875439 @default.
• W4295067612 cites W4220923528 @default.
• W4295067612 cites W4280604465 @default.
• W4295067612 cites W4281692396 @default.
• W4295067612 cites W4283262819 @default.
• W4295067612 cites W4283589500 @default.
• W4295067612 cites W4285012078 @default.
• W4295067612 cites W4285595039 @default.
• W4295067612 cites W4285801620 @default.
• W4295067612 cites W4291017526 @default.
• W4295067612 doi "https://doi.org/10.3390/land11091479" @default.
• W4295067612 hasPublicationYear "2022" @default.
• W4295067612 type Work @default.
• W4295067612 citedByCount "6" @default.
• W4295067612 countsByYear W42950676122022 @default.
• W4295067612 countsByYear W42950676122023 @default.
• W4295067612 crossrefType "journal-article" @default.
• W4295067612 hasAuthorship W4295067612A5016304163 @default.
• W4295067612 hasAuthorship W4295067612A5032727768 @default.
• W4295067612 hasAuthorship W4295067612A5037749622 @default.
• W4295067612 hasAuthorship W4295067612A5060820955 @default.
• W4295067612 hasAuthorship W4295067612A5063018750 @default.
• W4295067612 hasAuthorship W4295067612A5072861069 @default.
• W4295067612 hasAuthorship W4295067612A5073775434 @default.
• W4295067612 hasBestOaLocation W42950676121 @default.
• W4295067612 hasConcept C100970517 @default.
• W4295067612 hasConcept C127413603 @default.
• W4295067612 hasConcept C134306372 @default.
• W4295067612 hasConcept C16678853 @default.
• W4295067612 hasConcept C166957645 @default.
• W4295067612 hasConcept C205649164 @default.
• W4295067612 hasConcept C2780030769 @default.
• W4295067612 hasConcept C2908647359 @default.
• W4295067612 hasConcept C33923547 @default.
• W4295067612 hasConcept C42475967 @default.
• W4295067612 hasConcept C51566761 @default.
• W4295067612 hasConcept C71924100 @default.
• W4295067612 hasConcept C99454951 @default.

• next