The Study of The Economic Distribution Characteristics of Night Economic Distribution Based on Multi-source Data Fusion DOI Creative Commons

Yixuan Zhou,

Yuehua Geng

Frontiers in Business Economics and Management, Journal Year: 2023, Volume and Issue: 8(3), P. 227 - 229

Published: April 26, 2023

The night economy is an important representation of urban economic development and consumption level. Based on the lighting, data POI data, spatial clustering algorithm DBSCAN、K-means other algorithms study profit loss supply demand, model area domain analysis activity hotspot service facility are established. fusion multi-source provides a new perspective for economy, which more rapid, efficient extensive than traditional survey suitable large-scale economy.

Language: Английский

Sustainable infrastructure, energy projects, and economic growth: mediating role of sustainable supply chain management DOI
Shahid Mahmood, Pooja Misra, Huaping Sun

et al.

Annals of Operations Research, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 11, 2024

Language: Английский

Citations

34
Assessing and predicting land cover dynamics for environmental sustainability in Jordan's arid ecosystems using CA-Markov model DOI Creative Commons
Rana N. Jawarneh, Ammar Abulibdeh, Nadeem Hashem

et al.

Remote Sensing Applications Society and Environment, Journal Year: 2024, Volume and Issue: 35, P. 101262 - 101262

Published: June 1, 2024

Jordan's arid ecosystems face a threat of environmental degradation due to increasing human activities driven by growing population and economy. This study assesses Land Use Cover (LULC) changes in regional ecoregional landscapes, particularly region with an east-west gradient, spanning 41 years (1990-2030). The utilizes the Jordan National Dataset (JNLCD) for historical data employs CA-Markov model generate future land cover map. results revealsignificant changes, tripling size urban areas at expense primary croplands. Steppe ecoregion, known its fragility, experienced shifts into irrigated agriculture practices loss natural rangelands. period between 2000 2015 marked as most dynamic landscape underwent significant change growth influx refugees. During this period, 123 km2 rainfed agricultural were consumed urbanization while expanded sparsely-vegetated/barren (55 km2). Additionally, 33 transformed agriculture. offers comprehensive innovative analysis LULC ecosystems. While it highlights ecological importance potential enhance resilience, also underscores negative impact interventions, which have disrupted spatial arrangement, connectivity, stability, structure. By bridging projections, employing detailed metrics, addressing socio-economic drivers, work provides valuable insights sustainable use planning conservation Jordan.

Language: Английский

Citations

9
Scenario modeling of ecosystem service trade-offs and bundles in a semi-arid valley basin DOI
Jiamin Liu,

Xiutong Pei,

Wanyang Zhu

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 896, P. 166413 - 166413

Published: Aug. 18, 2023

Language: Английский

Citations

18
Environmental Pressure Exerted by the Petrochemical Industry and Urban Environmental Resilience: Evidence from Chinese Petrochemical Port Cities DOI
Chuang Tian,

Yahui Liang,

Qiaoqiao Lin

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 471, P. 143430 - 143430

Published: Aug. 17, 2024

Language: Английский

Citations

7
Integrated effects of land use and land cover change on carbon metabolism: Based on ecological network analysis DOI Creative Commons
Ningfei Wang, Xingpeng Chen, Yan Zhang

et al.

Environmental Impact Assessment Review, Journal Year: 2023, Volume and Issue: 104, P. 107320 - 107320

Published: Oct. 19, 2023

Faced with increasingly severe climate change, assessing integrated effects of Land use and land cover (LULC) changes on carbon metabolism contributes to the understanding mechanism LULC‑carbon interactions is crucial enhance benefits anthropogenic emission reductions, increasing regional sinks formulating future mitigation policies. In this paper, we have developed a hybrid analytical framework that couples natural socioeconomic systems, used data, high-resolution remote sensing empirical coefficients analyze spatiotemporal dynamics applied ecological network analysis (ENA) evaluate LULC upon metabolism. We Gansu Province, an economically underdeveloped region, as example for case policy recommendations. The results showed that: (1) total emissions in increased 3.18 times between 1995 2020, transportation industrial being major contributors. balance status was severe, amount sequestration offset decreased from 22.45% 7.11% 2020. (2) ENA revealed competition relations types fluctuated up dominated mean value mutualism index 0.72, which suggested whole negative. Compared regions, relationships different were more competitive. (3) To address these issues, proposed comprehensive policies terms adjusting structure, reducing fossil energy use, saving construction, developing sink industries. study explored intricate changes, transition, its findings provide insights recommendations spatial planning management Province other regions may comparable challenges.

Language: Английский

Citations

15
Land use spatial optimization for city clusters under changing climate and socioeconomic conditions: A perspective on the land-water-energy-carbon nexus DOI

Xiaoxu Cao,

Haijun Wang, Bin Zhang

et al.

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 349, P. 119528 - 119528

Published: Nov. 20, 2023

Language: Английский

Citations

13
The influence mechanism of supporting cities' development on the spatial expansion of economic development zones: Evidence from China's coast DOI

Yue Li,

Weixin Luan, Di Yang

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 440, P. 140844 - 140844

Published: Jan. 30, 2024

Language: Английский

Citations

4
Realizing the soft infrastructure mixing of Shanghai's catering industry based on land expansion and population growth DOI Creative Commons
Zhenchao Zhang,

Andong Guo,

Chuang Tian

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(7), P. e28744 - e28744

Published: March 26, 2024

This study takes Shanghai's restaurants as a case of urban soft infrastructure, employing big data sets from third-party website platforms for multi-source fusion, to deeply analyze the impact land expansion and population dynamics on availability, affordability, acceptability, accessibility restaurants. The reveals that, despite Shanghai municipal authorities' focus mitigating overcrowding in central areas, infrastructure such new districts remains at relative disadvantage. decentralization peripheral areas has not met policy expectations, presenting spatial imbalance characterized by greater provision main than districts, higher Puxi Pudong. single-threshold model uncovers that positive urbanization restaurant convenience undergoes transformation after reaching certain critical point, where linear relationship synchronous growth shift. By controlling development area construction density within regions, dynamic combination can be achieved. forms spatio-temporal management strategy integrates land, population, comfort facilities, potentially alleviating inequity facilities areas' siphoning effect.

Language: Английский

Citations

4
Mapping of Local Climate Zones and Heat Hazard Assessment from a Historical-Future Perspective DOI Creative Commons
Jiayi Ren, Jun Yang, Wenbo Yu

et al.

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Journal Year: 2024, Volume and Issue: 17, P. 12622 - 12636

Published: Jan. 1, 2024

Achieving the sustainable development goals puts new demands on land use/land cover (LULC) forecasting and thermal environment improvement. Local climate zone (LCZ) characterization reduces LULC uncertainty in research. This study designed a future multiscenario LCZ assessment framework that integrates remote sensing images, patch-level use simulation model, contribution algorithm. An urban heat island (UHI) classification was used to represent degree of hazard. We sought quantitatively evaluate spatiotemporal distribution its hazard explore coordination mode patterns environment. considered four scenarios: natural scenario (NDS), (UDS), food security scenario, ecological protection scenario. The results show Shenyang metropolitan area has experienced large-scale urbanization, forming main UHI areas with Shenyang–Fushun, Liaoyang–Anshan, Fuxin as core. is expected become first for management future. produce hazards are mainly distributed D building-LCZs. By 2060, average UDS increase by 1.035 °C NDS 0.286 compared 2020. From perspective "historical future," provide theoretical reference continuous improvement environmental quality era, promoting coordinated actively responding change.

Language: Английский

Citations

4
Spatio-Temporal Dynamics of Carbon Storage in Rapidly Urbanizing Shenzhen, China: Insights and Predictions DOI Creative Commons
Chunxiao Wang, Mingqian Li, Xuefei Wang

et al.

Land, Journal Year: 2024, Volume and Issue: 13(10), P. 1566 - 1566

Published: Sept. 26, 2024

Rapid urbanization in developing countries leads to significant land-use and land-cover change (LULCC), which contributes increased carbon dioxide (CO2) emissions the degradation of storage. Studying spatio-temporal changes storage is crucial for guiding sustainable urban development toward neutrality. This study integrates machine-learning random forest algorithm, CA–Markov, InVEST models predict distribution Shenzhen, China, under various scenarios. The findings indicate that, over past two decades, Shenzhen has experienced changes. transformation from high- low-carbon-density land uses, particularly conversion forestland construction land, primary cause loss. Forestland mainly influenced by natural factors, such as digital elevation model (DEM) precipitation, while other (LULC) types are predominantly affected socio-economic demographic factors. By 2030, projected vary significantly across different scenarios, with greatest decline expected scenario (NDS) least ecological priority (EPS). RF-CA–Markov outperforms traditional CA–Markov accurately simulating use, small scattered types. Our conclusions can inform future low-carbon city optimization.

Language: Английский

Citations

4