An Assessment of Urban Residential Environment Quality Based on Multi-Source Geospatial Data: A Case Study of Beijing, China DOI Creative Commons
Shijia Zhang,

Xia Yang,

Zijuan Li

et al.

Land, Journal Year: 2024, Volume and Issue: 13(6), P. 823 - 823

Published: June 7, 2024

Assessing the urban residential environment quality (REQ) is essential for advancing sustainable development and enhancing residents’ living standards. Traditional REQ assessments rely on statistical data, prone to delays lacking holistic insight. This study takes blocks as analysis units conducted within area of Sixth Ring Road in Beijing. It synthesizes multi-source geospatial data devise a comprehensive framework assessing REQ, incorporating facets environmental health comfort, housing transportation convenience, city security, life convenience. Utilizing principle minimal relative informational entropy, this integrates Analytic Hierarchy Process (AHP) with entropy method determine weight each evaluative criterion. Subsequently, linear weighting technique employed ascertain scores criterion, thus facilitating detailed examination REQ. Finally, research probes into complex interrelation between assessed city’s Gross Domestic Product (GDP) carbon emissions across varying scales. Findings reveal that (1) overall Beijing’s superior at center diminishes towards periphery. (2) The dispersion comfort security metrics relatively uniform, showing minor variations; however, marked disparity observed distribution metrics. (3) Regions characterized by higher GDP tend demonstrate levels Conversely, areas boasting higher-quality are more inclined exhibit increased emissions.

Language: Английский

Simulation and Attribution Analysis of Spatial–Temporal Variation in Carbon Storage in the Northern Slope Economic Belt of Tianshan Mountains, China DOI Creative Commons
Kun Zhang, Yu Wang, Ali Mamtimin

et al.

Land, Journal Year: 2024, Volume and Issue: 13(5), P. 608 - 608

Published: April 30, 2024

Intensive economic and human activities present challenges to the carbon storage capacity of terrestrial ecosystems, particularly in arid regions that are sensitive climate change ecologically fragile. Therefore, accurately estimating simulating future changes stocks on northern slope belt Tianshan Mountains (NSEBTM) holds great significance for maintaining ecosystem stability, achieving high-quality development belt, realizing goal “carbon neutrality” by 2050. This study examines spatiotemporal evolution characteristics NSEBTM from 1990 2050, utilizing a combination multi-source data integrating Patch-generating Land use Simulation (PLUS) Integrated Valuation Ecosystem Services Trade-offs (InVEST) models. Additionally, an attribution analysis stock is conducted leveraging land data. The findings demonstrate (1) predominantly consists underutilized land, accounting more than 60% total area NSEBTM. Unused grassland, water bodies exhibit declining trend over time, while other forms increasing trend. (2) Grassland serves as primary reservoir NSEBTM, with grassland degradation being leading cause loss amounting 102.35 t past three decades. (3) Under ecological conservation scenario 2050 compared natural scenario, there was net increase 12.34 t; however, under decrease 25.88 t. By quantitatively evaluating its impact projected next 30 years, this paper provides scientific references precise support territorial spatial decision making thereby facilitating achievement goals.

Language: Английский

Citations

2
Spatial-temporal evolution and influencing factors of green urbanization in the Northern Slope Economic Belt of Tianshan Mountains, China DOI
Haitao Ma, Kewen Wang

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 113, P. 105686 - 105686

Published: July 18, 2024

Language: Английский

Citations

2
Assessment of the interaction between digital infrastructure and ecological resilience: Insights from Yangtze River Delta Urban Agglomeration in China DOI
Qiangyi Li,

Jiexiao Ge,

Xinmin Zhang

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: unknown, P. 144364 - 144364

Published: Nov. 1, 2024

Language: Английский

Citations

2
Temporal and spatial responses of ecological resilience to climate change and human activities in the economic belt on the northern slope of the Tianshan Mountains, China DOI Creative Commons

Shubao Zhang,

Jun Lei,

Yanjun Tong

et al.

Journal of Arid Land, Journal Year: 2023, Volume and Issue: 15(10), P. 1245 - 1268

Published: Oct. 1, 2023

Abstract In the Anthropocene era, human activities have become increasingly complex and diversified. The natural ecosystems need higher ecological resilience to ensure regional sustainable development due rapid urbanization industrialization as well other intensified activities, especially in arid semi-arid areas. study, we chose economic belt on northern slope of Tianshan Mountains (EBNSTM) Xinjiang Uygur Autonomous Region China a case study. By collecting geographic data statistical from 2010 2020, constructed an assessment model based ecosystem habitat quality (EHQ), landscape stability (ELS), service value (ESV). Further, analyzed temporal spatial variation characteristics EBNSTM 2020 by autocorrelation analysis, explored its responses climate change using geographically weighted regression (GWR) model. results showed that was at low level increased 0.2732 0.2773 during 2010–2020. analysis exhibited heterogeneity characteristic “high western region eastern region”, clustering trend enhanced study period. Desert, Gobi rapidly urbanized areas resilience, oasis mountain high resilience. Climate factors had important impact Specifically, average annual temperature precipitation were key improved while evapotranspiration main factor blocked Among activity factors, distance road negative correlation with Both night light index PM2.5 concentration negatively correlated better conditions, whereas poorer correlations positive. research findings could provide scientific reference for protecting environment promoting harmony human-land relationship

Language: Английский

Citations

6
An Assessment of Urban Residential Environment Quality Based on Multi-Source Geospatial Data: A Case Study of Beijing, China DOI Creative Commons
Shijia Zhang,

Xia Yang,

Zijuan Li

et al.

Land, Journal Year: 2024, Volume and Issue: 13(6), P. 823 - 823

Published: June 7, 2024

Assessing the urban residential environment quality (REQ) is essential for advancing sustainable development and enhancing residents’ living standards. Traditional REQ assessments rely on statistical data, prone to delays lacking holistic insight. This study takes blocks as analysis units conducted within area of Sixth Ring Road in Beijing. It synthesizes multi-source geospatial data devise a comprehensive framework assessing REQ, incorporating facets environmental health comfort, housing transportation convenience, city security, life convenience. Utilizing principle minimal relative informational entropy, this integrates Analytic Hierarchy Process (AHP) with entropy method determine weight each evaluative criterion. Subsequently, linear weighting technique employed ascertain scores criterion, thus facilitating detailed examination REQ. Finally, research probes into complex interrelation between assessed city’s Gross Domestic Product (GDP) carbon emissions across varying scales. Findings reveal that (1) overall Beijing’s superior at center diminishes towards periphery. (2) The dispersion comfort security metrics relatively uniform, showing minor variations; however, marked disparity observed distribution metrics. (3) Regions characterized by higher GDP tend demonstrate levels Conversely, areas boasting higher-quality are more inclined exhibit increased emissions.

Language: Английский

Citations

1