Study on suitability and spatial distribution of human settlement environment in arid areas based on GIS and analytic hierarchy process DOI Creative Commons

Manguo Geng,

Benteng Liu,

Zhang We

et al.

Frontiers in Ecology and Evolution, Journal Year: 2023, Volume and Issue: 11

Published: Oct. 11, 2023

Introduction Scientific evaluation of the suitability human settlement in arid areas and a grasp their spatial differentiation characteristics are great significance for implementation regional environment (HSE) improvement according to local conditions. Methods In this study, we took Gansu Province (GS), typical area China, as research object. First, based on field research, used analytic hierarchy process determine weights 12 indicators build an HSE model from two dimensions nature humanities. Then, conduct comprehensive each factor GIS analysis module. Finally, natural breakpoint method zoning statistics understand its distribution GS Province. Results The study findings can be summarized follows: (1) shows that east-central part province is significantly higher than northwestern, there big difference between localities. (2) appears characteristic, gradually decreasing central urban surrounding areas. index living 0.26 0.71. (3) sizes five types ranked following: low suitable (138,502 km 2 ) > moderately (133,761 critical (97,244 high (47,459 unsuitable (38,980km ); 14 cities, average value habitat more 0.5 accounting 42.9%. Discussion Our not only fills gap zones but also provides policy support government departments improve settlement.

Language: Английский

Spatial stratified heterogeneity and driving mechanism of urban development level in China under different urban growth patterns with optimal parameter-based geographic detector model mining DOI
Qingsong He, Miao Yan, Linzi Zheng

et al.

Computers Environment and Urban Systems, Journal Year: 2023, Volume and Issue: 105, P. 102023 - 102023

Published: Aug. 4, 2023

Language: Английский

Citations

31

Spatial Characteristics of Multidimensional Urban Vitality and Its Impact Mechanisms by the Built Environment DOI Creative Commons

Aibo Jin,

Yunyu Ge,

S. Zhang

et al.

Land, Journal Year: 2024, Volume and Issue: 13(7), P. 991 - 991

Published: July 5, 2024

Urban vitality, intricately connected to urban morphology, has long been a cornerstone of planning and design. The accelerated pace urbanization created abundant living working spaces, but it also brought about series issues such as traffic congestion, environmental pollution, insufficient public uneven development, leading decline in vitality. spatial distribution patterns vitality their influencing factors are diverse vary across different cities, necessitating multidimensional exploration the relationship between built environment. Utilizing central area Beijing case study, this research leverages multi-source data delineate characteristics social, economic, cultural, comprehensive Furthermore, set built-environment indicators is developed five dimensions analyze correlation with results indicate: (1) There significant clustering various types Beijing, pronounced high-density population aggregation vigorous economic activities. (2) Subdistricts exhibiting high social display an “n”-shaped around Second Ring Road. In contrast, those concentrated along Chang’an Street district commercial centers. High cultural subdistricts distributed northwest–southeast trajectory from Fourth Road Road, exhibit concentric radiating outwards center. (3) Social most closely related Beijing’s develop relatively evenly. (4) environment significantly affects all Factors floor ratio, POI density, mixing degree, intersection density fundamental enhancing whereas greening rate somewhat inhibits it. (5) Future should utilize effect high-vitality optimize distribution, enhance mixing, increase metro station strengthen critical structures for synergistic development. This study provides foundation promotion strategies optimizing layout at subdistrict scale within area.

Language: Английский

Citations

7

Influencing Factors of Street Vitality in Historic Districts Based on Multisource Data: Evidence from China DOI Creative Commons

Bing Yu,

Jun Sun, Zhaoxing Wang

et al.

ISPRS International Journal of Geo-Information, Journal Year: 2024, Volume and Issue: 13(8), P. 277 - 277

Published: Aug. 5, 2024

Amid urban expansion, historic districts face challenges such as declining vitality and deteriorating spatial quality. Using the streets of Xi’an’s historical cultural district examples, this research utilizes multisource data, including points interest (POIs), street view images, Baidu heatmaps, alongside analytical techniques machine learning. This study explores determinants from dual perspectives its external manifestation carriers. A quantitative framework for measuring in is established, thoroughly examining driving factors behind vitality. Additionally, relationship between built environment indicators elucidated through statistical analysis methods. The findings reveal significant, time-varying influences these carriers on human vitality, with distinct distribution patterns activity across different times, significance influence representations various types varies over time. Based insights, paper proposes strategies enhancing streets, aiming to rejuvenate sustain diverse dynamic energy districts. It provides a foundation revitalizing vigor heritage zones offers applicable similar contexts.

Language: Английский

Citations

7

Decoding vibrant neighborhoods: Disparities between formal neighborhoods and urban villages in eye-level perceptions and physical environment DOI Creative Commons
Jin Rui,

Xiang Li

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 101, P. 105122 - 105122

Published: Dec. 17, 2023

Language: Английский

Citations

14

Comparative Spatial Vitality Evaluation of Traditional Settlements Based on SUF: Taking Anren Ancient Town’s Urban Design as an Example DOI Open Access
Jinliu Chen, Haoqi Wang,

Zhuo Yang

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(10), P. 8178 - 8178

Published: May 17, 2023

Sustainable urban forms (SUF) guide spatial creation, significantly revitalise the development of traditional settlements, and are an essential theoretical support for design. At same time, emergence quantitative analysis technology further promotes visualised evaluation performance vitality in However, current research rarely studies settlements with from SUF perspective. Therefore, this takes Anren Ancient Town Chengdu, Western China, as example to propose a design based on sustainable form theory raise local vitality. Then, it introduces system index (UFI) three measurement methods: Space Syntax, Spacemate, MXI, conducts comparative Town’s status quo explain process how scheme came about. The results found that proposals principles compactness, mixed land use diversity guidelines can effectively improve settlements. high settlement could be achieved by combining SUF-based UFI-based systems. assist optimise decision-making act paradigm or regeneration towns.

Language: Английский

Citations

13

Uncovering the factors influencing the vitality of traditional villages using POI (point of interest) data: a study of 148 villages in Lishui, China DOI Creative Commons
Sheng Liu, Jian Ge, Ming Bai

et al.

Heritage Science, Journal Year: 2023, Volume and Issue: 11(1)

Published: June 9, 2023

Abstract Improving vitality has been a major bottleneck in the revitalization of traditional village heritage worldwide. The (VTV) varies greatly depending on socioeconomic factors and natural conditions. Significant spatial variation exists VTV, even within same urban jurisdictions China; however, main determinants for this have not yet quantified owing to difficulty obtaining data from large rural samples, making targeted invigoration difficult. Thus, we applied point interest data, which are easily accessible big bridge source gap. To assess VTV’s influencing analyze variations among factors’ impacting intensity, used Ordinary Least Squares Geographically Weighted Regression models conducted empirical studies involving 148 villages Lishui, China. Seven influenced study area, with most significant being topographic relief, elevation, scenic spots commercial industry. Moreover, intensity varied by region. Topographic relief elevation had greatest impact north south whereas primary education, transportation facility agricultural bases north, industry middle Lishui. Taken together, method makes sample factor analysis feasible, global implications, can provide foundation scientific precise regional promotion is beneficial revitalization.

Language: Английский

Citations

13

Evolution paths of urban forms influenced by landforms: Asynchrony but convergence DOI Creative Commons
Chao Yang,

Qiyan Huang,

Qiong Xian

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 170, P. 113127 - 113127

Published: Jan. 1, 2025

Language: Английский

Citations

0

Transformations in Urban Human Settlements Within China’s Sustainable Development Innovation Demonstration Zones: A Case Study of Chenzhou City, Hunan Province, During Rapid Urbanization DOI Creative Commons

Bing-Xin Xu,

Penglong Wang,

Yichun Wang

et al.

Land, Journal Year: 2025, Volume and Issue: 14(2), P. 431 - 431

Published: Feb. 19, 2025

The quality of urban human settlements (UHSs) directly affects the city’s livability and well-being its residents. Scientific monitoring assessment UHSs, their progress toward sustainable development, impacts they experience from rapid urbanization can accelerate implementation United Nations development goals (SDGs) in field settlements. This study focuses on Chenzhou City, an innovation demonstration zone for China’s Sustainable Development Agenda. It develops a evaluation index based SDG 11 (Sustainable Cities Communities), 6 (Clean Water Sanitation), other relevant SDGs, with objectives residential stability, facilitated mobility, safety residents, comfortable environment, low-carbon development. Solutions Network (SDSN) methodology was utilized to assess City 2015 2022, focusing UHS indicators, targets, (SDI) scores. geographic detector techniques were employed investigate impact new UHSs. analysis found following: (1) After established (2019–2022), scores five SDI increased by over 50% compared pre-establishment period (2015–2018), highly significant difference between two periods. (2) Among 35 indicators measured, proportion those that reached or nearly targets 57.1% 2018 71.4% 2022. As there has been positive goal while efforts four have made some but require further acceleration. (3) process had notable SDI, most influencing factors positively correlated interactive effects population, economic, social, spatial demonstrate strong explanatory power. findings provide decision-making support zone’s UHSs offer reference evaluating similar cities.

Language: Английский

Citations

0

Comprehensive evaluation of community human settlement resilience and spatial characteristics based on the supply–demand mismatch between health activities and environment: a case study of downtown Shanghai, China DOI Creative Commons
Qikang Zhong, Yue Chen, Jiale Yan

et al.

Globalization and Health, Journal Year: 2023, Volume and Issue: 19(1)

Published: Nov. 16, 2023

Under globalization, human settlement has become a major risk factor affecting life. The relationship between humans and the environment is crucial for improving community resilience coping with globalization. This study focuses on key contradictions of development under exploring by analyzing mismatch residents' health activities environment.Using data from Shanghai downtown, including land use, Sports app, geospatial urban statistics, this paper constructs comprehensive index (CRI) model based DPSIR model. enables quantitative analysis spatial temporal distribution Community Human Settlement Resilience (CR). Additionally, uses geodetector Origin software to analyze coupling drivers resilience.i) scores CR showed "slide-shaped" fluctuation difference situation; ii) pattern "pole-core agglomeration radiation" type "ring-like type. iii) Distance bus stops, average annual temperature, CO2 emissions, building density number jogging trajectories are dominant factors level settlement.This contributes compilation evaluation systems globally, offering insights into healthy city assessments worldwide. findings can guide creation similar provide valuable references communities

Language: Английский

Citations

8

What Affects the Level of Rural Human Settlement? A Case Study of Tibet, China DOI Open Access
Boyang Gao,

Zhenpei Hu

Sustainability, Journal Year: 2022, Volume and Issue: 14(16), P. 10445 - 10445

Published: Aug. 22, 2022

Rural human settlement is an important factor in the sustainable development of rural economy and society, improving task for China’s revitalization strategy. Based on framework, this study constructed a comprehensive evaluation index system to evaluate by calculating (RHSI) Tibet. The results showed that: (1) natural subsystem extremely vulnerable. In recent years, anti-interference ability restoration ecosystem have gradually increased. Changes population size, structure, scale made level lower. From perspective drinking water, communication housing, residential was improved. construction infrastructure increasingly improved, driving supporting improve. Furthermore, income livelihood diversity were key social subsystem; (2) index, Tibet trend significant improvement; (3) terms explanatory power, power five subsystems quite different. basic dimensions (natural subsystem, subsystem) lagged behind dominant (supporting subsystem). There inconsistencies mismatches. recommended measures involve strengthening top-level design planning farming pastoral areas, improve responsiveness

Language: Английский

Citations

10