Unlocking China's grain yield potential: Harnessing technological and spatial synergies in diverse cropping systems

Agricultural Systems, Journal Year: 2025, Volume and Issue: 226, P. 104308 - 104308

Published: March 9, 2025

Language: Английский

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Identification of Urban Renewal Potential Areas and Analysis of Influential Factors from the Perspective of Vitality Enhancement: A Case Study of Harbin City’s Core Area

Land, Journal Year: 2024, Volume and Issue: 13(11), P. 1934 - 1934

Published: Nov. 17, 2024

In the context of people-centered and sustainable urban policies, identifying renewal potential based on vitality enhancement is crucial for regeneration efforts. This article collected population density data, house price built environment data to examine spatial pattern characteristics Harbin’s core area using autocorrelation analysis. Building these findings, a geographically weighted regression (GWR) model was constructed further analyze influencing mechanisms relevant factors. The analysis revealed significant development imbalances within area, characterized by differentiated uneven social economic between old city newly areas. Notably, in certain regions, construction intensity does not align with levels vitality, indicating opportunities renewal. Furthermore, examination key factors highlighted that accessibility commercial facilities had most substantial positive impact vitality. contrast, age distribution educational demonstrated strong correlation By clearly delineating specific areas potential, this study provided detailed characterization Harbin. Additionally, depicting local variations factors, it established analytical foundations objective references planning targeted locations. Ultimately, research contributes new insights frameworks analyses applicable other regions.

Language: Английский

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Community-Level Urban Vitality Intensity and Diversity Analysis Supported by Multisource Remote Sensing Data

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(6), P. 1056 - 1056

Published: March 17, 2025

Urban vitality serves as a crucial metric for evaluating sustainable urban development and the well-being of residents. Existing studies have predominantly focused on analyzing direct effects intensity (VI) its influencing factors, while paying less attention to diversity (VD) indirect impact mechanisms. Supported by multisource remote sensing data, this study establishes five-dimensional evaluation system employs Partial Least Squares Structural Equation Model (PLS-SEM) quantify interrelationships between these multidimensional factors VI/VD. The findings are follows: (1) Spatial divergence VI VD: exhibited stronger clustering (I = 1.12), aggregating in central areas, whereas VD demonstrated moderate autocorrelation 0.45) concentrated mixed-use or suburban zones. (2) Drivers intensity: strongly associated with commercial density (β 0.344) transportation accessibility 0.253), but negatively correlated natural environment quality (r −0.166). (3) Mechanisms diversity: is closely linked public service 0.228). This research provides valuable insights city decision-making, particularly strengthening optimizing functional layouts.

Language: Английский

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Predicting Urban Vitality at Regional Scales: A Deep Learning Approach to Modelling Population Density and Pedestrian Flows

Smart Cities, Journal Year: 2025, Volume and Issue: 8(2), P. 58 - 58

Published: March 30, 2025

Understanding and predicting urban vitality—the intensity diversity of human activities in spaces—is crucial for sustainable development. However, existing studies often rely on discrete sampling points single metrics, limiting their ability to capture the continuous spatial distribution vibrancy. This study introduces UVPN (urban vitality prediction network), a novel deep-learning architecture designed generate high-resolution predictions static dynamic at regional scales. The integrates two key innovations: SE (squeeze-and-excitation) block adaptive feature recalibration an RCA (residual connection with coordinate attention) bottleneck position-aware learning. Applied New York City, leverages diverse morphological features such as streetscape attributes land use patterns predict distributions. model outperforms architectures, achieving reductions 34.03% 38.66% mean squared error population density pedestrian flow predictions, respectively. Feature importance analysis reveals that road networks predominantly influence density, while strongly affect flows, built interest contributing both dimensions. By advancing prediction, provides robust framework evidence-based planning, supporting creation more sustainable, functional, livable cities.

Language: Английский

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Urban vitality transfer: Analysis of 50 factors based on 24-h weekday activity in Nanjing

Frontiers of Architectural Research, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

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Social media interaction and built environment effects on urban walking experience: A machine learning analysis of Shanghai Citywalk

PLoS ONE, Journal Year: 2025, Volume and Issue: 20(4), P. e0320951 - e0320951

Published: April 29, 2025

In fast-paced urban environments, Citywalk has emerged as a key leisure activity for residents to alleviate stress and enhance emotional well-being. From the perspective of virtual-physical interaction, this study integrates social media data with geospatial information, utilizing machine learning methods spatial statistical analysis explore multidimensional driving mechanisms complex relationships affecting experiences participants. The findings indicate that interaction index, core indicator virtual behavior, plays role in influencing scores (SHAP value = 4.9104), exhibiting progressive effects without evident threshold characteristics. POI density demonstrates significant nonlinear effects, marginal benefits substantially increasing when reaches 44.06. Additionally, autocorrelation reveals clustering patterns, underscoring critical interactions between behavior physical elements generation. comparison, functional diversity transit accessibility exhibit weaker but complementary on scores. This research quantifies roles digital built environment shaping from perspective, uncovering how into space production through individual perception interaction. It extends theoretical frameworks geography. provide data-driven insights optimizing walking design, proposing index-oriented strategies promote synergy spaces, thus facilitating creation high-quality, emotionally friendly environments.

Language: Английский

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Spatial Mismatch Between Transportation Development and Tourism Spatial Vitality in Yunnan Province in the Context of Urban–Rural Integration

Land, Journal Year: 2025, Volume and Issue: 14(5), P. 1017 - 1017

Published: May 7, 2025

As China’s urban–rural integration progresses, the connections between urban and rural areas continue to strengthen, making spatial matching transportation infrastructure tourism resources increasingly crucial for coordinated regional development. This study investigates spatial–temporal mismatch development vitality in Yunnan Province, proposing optimization strategies improve their coordination. Using Weibo check-in big data OpenStreetMap network data, we apply Convolutional Long Short-Term Memory (ConvLSTM) networks bivariate autocorrelation analysis examine this relationship. The results show strong transportation–tourism Kunming surrounding areas. However, northwest southern exhibit significant mismatches—despite improvements, underdeveloped constrain growth. Particularly some remote regions, well-developed coexists with low vitality, revealing persistent mismatches transport facilities resources. In general, generally enhances but requires resource market demand alignment. provide a basis improving of tourism, offering practical guidance policymakers promote balanced integration.

Language: Английский

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Identifying Nighttime Vitality Through Multisource Geodata: An Explainable AI Perspective

Transactions in GIS, Journal Year: 2025, Volume and Issue: 29(3)

Published: May 1, 2025

ABSTRACT Nighttime vitality serves as a crucial criterion for assessing the attractiveness and competitiveness of urban areas. The varying multifaceted characteristics nighttime across neighborhoods reflect residents' preferences, social demands, localized economies. objective this study is to comprehensively assess by integrating multiple geospatial data sources, including mobile phone data, remote sensing small catering businesses data. Furthermore, within an explainable artificial intelligence (XAI) framework, aims quantitatively analyze nonlinear relationships between influencing factors vitality. To enhance interpretability, we employ SHapley Additive exPlanations (SHAP) visual model interpretation. This can further theory vitality, deepen understanding relationships, facilitate implementation AI in studies. findings effectively provide guidance planning decision‐making, improve quality life, promote sustainable development.

Language: Английский

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Assessing Supply and Demand Discrepancies of Urban Green Space in High-Density Built-Up Areas Based on Vitality Impacts: Evidence from Beijing’s Central Districts, China

Sustainability, Journal Year: 2025, Volume and Issue: 17(11), P. 4828 - 4828

Published: May 23, 2025

In rapidly urbanizing areas, there is a notable aggregation of vitality in high-density urban environments, accompanied by an increasing discrepancy between the supply and demand green space (UGS). This study presented integrated framework comprising model for UGS supply-demand coupling coordination measure vitality. Using downtown Beijing as case study, Gini coefficient assessed disparities across different types. The examined how factors interact with vitality, revealing impact imbalances on various dimensions mismatches experienced groups. showed that: (1) 63.29% central Beijing’s areas had low coordination, 39.23% experiencing mismatches; (2) were significantly correlated spatial distribution; (3) these impacted comprehensive vitality; (4) distribution among groups, economic group perceiving greatest inequity (Gini = 0.311), followed social 0.289) cultural 0.247). These findings offer valuable insights more refined assessment enhancement UGS, aiming to achieve balanced, high-quality, sustainable development.

Language: Английский

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Examining the Impact of the Built Environment on Multidimensional Urban Vitality: Using Milk Tea Shops and Coffee Shops as New Indicators of Urban Vitality

Buildings, Journal Year: 2024, Volume and Issue: 14(11), P. 3517 - 3517

Published: Nov. 4, 2024

Urban vitality is a critical driver of sustainable urban development, significantly contributing to the enhancement human well-being. A thorough and multidimensional comprehension essential for shaping future planning policy-making. This study, focused on Chengdu, proposes framework assessing various dimensions UV through distribution milk tea coffee shops. Using random forest multi-scale geographically weighted regression models, this study investigates factors influencing from both mathematical thresholds spatial heterogeneity, develops maps inform targeted strategies. The results show that (1) index effective in capturing population vitality, while more closely associated with economic renewal; (2) office buildings (13.46%) commercial complexes (13.70%) have most significant impact importance transportation has notably decreased; (3) influence these demonstrates heterogeneity nonlinear relationships, subway station density 0.5–0.8 stations per kilometer being optimal stimulating types vitality. minimum threshold given unit housing price exceeding 6000 RMB/m2; (4) map suggests planners should pay greater attention non-central districts high development potential. Moreover, spontaneous social interactions consumer behaviors stimulated by shops are components In designing physical environment forms, special be enhancing attractiveness spaces their capacity accommodate interaction.

Language: Английский

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