Applied Spatial Analysis and Policy最新文献

What Characteristics of Urban Parks are Associated with High and Stable Visitor Flow? A Spatiotemporal Exploration Using Mobile Phone Data

IF 2 4区社会学

Applied Spatial Analysis and Policy Pub Date : 2025-03-31 DOI: 10.1007/s12061-025-09651-9

Yu Wang, Shuang Lu, Chuanguo Yu, Xiao Wang, Yeran Sun

{"title":"What Characteristics of Urban Parks are Associated with High and Stable Visitor Flow? A Spatiotemporal Exploration Using Mobile Phone Data","authors":"Yu Wang, Shuang Lu, Chuanguo Yu, Xiao Wang, Yeran Sun","doi":"10.1007/s12061-025-09651-9","DOIUrl":"10.1007/s12061-025-09651-9","url":null,"abstract":"<div><p>The prevalence of urban parks serves as a crucial indicator for assessing a city’s vitality and livability. However, limited research has revealed the key characteristics of parks that attract large and stable numbers of visitors. In this study, we established intensity and stability indicators to trace fine-granular flow of visitors in parks. Visitor flows was analyzed using mobile phone signaling data with an accuracy of hourly data, which also represented the spatiotemporal patterns of park visitation. We delineated the patterns of 96 parks in Jinan, a prominent city in North China. Patterns of visitation exhibit diverse features of peak gatherings. The intensity and stability of park visitation are both subject to typical weekday-weekend variations, as measured by the accumulated visitor flow and the Shannon entropy. The effects of environmental factors on park visits were examined by using regression models. Factors that significantly influence the intensity and stability of park visits are the surrounding transportation facilities and the distance from the city center. The factors of surrounding population density and allocated construction land exert additional influences on various temporal periods. Understanding the spatiotemporal patterns of park visitations provides insights into advanced strategies for optimizing park resources and refining park management.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143740919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Spatio-Temporal Dynamics and Convergence Trends of Green Innovation in China: An Analysis using the EBM-GML Model

IF 2 4区社会学

Applied Spatial Analysis and Policy Pub Date : 2025-03-31 DOI: 10.1007/s12061-025-09652-8

Gen Li, Tengfei Li, Le Wen

{"title":"Spatio-Temporal Dynamics and Convergence Trends of Green Innovation in China: An Analysis using the EBM-GML Model","authors":"Gen Li, Tengfei Li, Le Wen","doi":"10.1007/s12061-025-09652-8","DOIUrl":"10.1007/s12061-025-09652-8","url":null,"abstract":"<div><p>Green innovation (GI) emerges as a pivotal element in balancing economic growth and ecological stability. This study quantifies China's GI from 2001–2019 using EBM-GML methodology, assessing its spatio-temporal distribution and convergence with Dagum Gini coefficient, Kernel density, and a convergence model. The results show that: (1) China’s GI displays a two-phase development characteristic with a slow increase before 2013 and a notable rise thereafter. Furthermore, green technology progress consistently shows an upward development trend throughout the study period, while green innovation efficiency performs poorly in both phases. (2) GI exhibits a pronounced spatial distribution, with higher intensity in the east and lower prevalence in the west, including significant polarization of GI in the east. (3) The main factors contributing to regional imbalances in GI development are identified as between-region variance, closely followed by within-region variance. (4) China's GI exhibits a convergence trend, indicating that, regional disparities in GI across the country are gradually diminishing over the long term, and this convergence characteristic is particularly pronounced in the western region. Through revealing the spatial and temporal dynamics of GI, this study establishes a foundation for promoting regional coordination and comprehensive development of GI.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143740811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on the Assessment and Drivers of the Coupling Coordination Developmentbetween Green Innovation and Digital Economy

IF 2 4区社会学

Applied Spatial Analysis and Policy Pub Date : 2025-03-29 DOI: 10.1007/s12061-025-09650-w

Xiaomei Cai, Xingchen Gao, Shuxian Zheng, Shuohan Qiu, Zihan Ye, Xin Zhang, Chan Liu, Zhanglu Tan

{"title":"Research on the Assessment and Drivers of the Coupling Coordination Developmentbetween Green Innovation and Digital Economy","authors":"Xiaomei Cai, Xingchen Gao, Shuxian Zheng, Shuohan Qiu, Zihan Ye, Xin Zhang, Chan Liu, Zhanglu Tan","doi":"10.1007/s12061-025-09650-w","DOIUrl":"10.1007/s12061-025-09650-w","url":null,"abstract":"<div><p>The study evaluates the coupling coordination degree between digital economy (DE) and green innovation (GI) in Chinese provinces from 2013 to 2020, as well as exploring the driving factors affecting the coupling and coordination degree between the two. The findings indicate: (1) The GI level in most provinces of China shows a fluctuating upward trend, with a spatial distribution characterized by higher GI level to the east of the Heihe-Tengchong Line and lower GI level to the west. The overall level of the DE is steadily increasing, with coastal provinces and the Chengdu-Chongqing region leading the trend. (2) The coupling coordination degree between DE and GI in each province has passed the stage of low coupling coordination, and the coupling coordination level between DE and GI has been increasing, with positive spatial spillover effects. (3) The number of invention patents granted, software business revenue, and online retail sales are the main driving factors. Furthermore, the study emphasizes that the synergy between external means, such as government regulation, and internal factors is very important to promote the coordinated development of the DE and GI.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143726728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Spatial Distribution of Carbon Emissions and Synergistic Evidence for Achieving Climate-Friendly Development in Underdeveloped Area of China

IF 2 4区社会学

Applied Spatial Analysis and Policy Pub Date : 2025-03-13 DOI: 10.1007/s12061-025-09648-4

Caixia Wei, Fenglin Lv, Zhenchuang Wang, Liang Cao, Tingting Li, Siqi Lu, Heli Lu, Wanfu Feng, Thanasis Kizos

{"title":"Spatial Distribution of Carbon Emissions and Synergistic Evidence for Achieving Climate-Friendly Development in Underdeveloped Area of China","authors":"Caixia Wei, Fenglin Lv, Zhenchuang Wang, Liang Cao, Tingting Li, Siqi Lu, Heli Lu, Wanfu Feng, Thanasis Kizos","doi":"10.1007/s12061-025-09648-4","DOIUrl":"10.1007/s12061-025-09648-4","url":null,"abstract":"<div><p>Development is generally accompanied by increases in emissions. While numerous studies have examined the dilemma between development and emissions, the question of how areas with different development levels can achieve economic growth while reducing emissions remains a complex challenge. This issue complicates the formulation of synergistic Sustainable Development Goals (SDGs) in designated management areas. To address this, our study identifies the development factors that have a strong indirect effect on emissions in the extremely underdeveloped area of China using the PLS-SEM model method. Furthermore, the study provides threshold results for the synergistic effects of development and emission reduction in underdeveloped areas with differing development levels, based on piecewise linear regression analysis. Our findings show that development processes in underdeveloped areas resulted in significant carbon (C) emissions between 2005 and 2020, ranging from 1,790.34 t to 2,801.33 t. In mildly, generally, and relatively underdeveloped areas, it is possible to achieve synergy between development and emission reduction when the response thresholds for emissions with respect to the proportion of construction land, energy consumption per GDP, and total retail sales of consumer goods are within the ranges of 0.183–0.205, below 0.287 t, and 74.63–89.10 billion yuan, respectively. However, in severely underdeveloped areas, no threshold was identified for the application of agricultural chemical fertilizers that would lead to emission reductions. Ultimately, this study offers decision-makers a range of thresholds to guide management strategies and the development of synergistic policies aimed at mitigating climate change while promoting sustainable development.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143602167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Mapping Social Vulnerability to Nuclear Accidents: a Comparative Framework Using BWM and AHP Methods

IF 2 4区社会学

Applied Spatial Analysis and Policy Pub Date : 2025-03-11 DOI: 10.1007/s12061-025-09649-3

Maryna Batur, Himmet Karaman, Reha Metin Alkan, Haluk Ozener

{"title":"Mapping Social Vulnerability to Nuclear Accidents: a Comparative Framework Using BWM and AHP Methods","authors":"Maryna Batur, Himmet Karaman, Reha Metin Alkan, Haluk Ozener","doi":"10.1007/s12061-025-09649-3","DOIUrl":"10.1007/s12061-025-09649-3","url":null,"abstract":"<div><p>This paper examines neighborhood-scale social vulnerability to nuclear accidents in Turkiye, focusing on identifying the most at-risk areas and demographic groups across several dimensions: demographics, buildings and environment, preparedness, emergency response, and coping capacity. The study has three main objectives: (1) improving the social vulnerability model by emphasizing criteria specific to nuclear accidents, (2) developing an assessment model for identifying vulnerable communities using a worst-case nuclear accident scenario, and (3) helping emergency managers pinpoint community sub-groups most susceptible to reduced resilience. Social vulnerability was assessed using both the Best–Worst Method (BWM) and Analytic Hierarchy Process (AHP), with comparisons highlighting slight differences due to their distinct methodologies. The findings reveal significant vulnerability, with many neighborhoods lacking adequate emergency preparedness programs such as public education, access to emergency supplies, and established evacuation routes. Comparing BWM and AHP helps researchers select the most suitable method, while the developed SVI offers a valuable tool for improving nuclear disaster risk management and community resilience.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12061-025-09649-3.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143594585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Spatial Heterogeneities or Inequalities? Health Care Supply and Demand of the Older Population in Italy

IF 2 4区社会学

Applied Spatial Analysis and Policy Pub Date : 2025-03-06 DOI: 10.1007/s12061-025-09647-5

Federico Benassi, Cecilia Tomassini, Giuseppe Di Felice

{"title":"Spatial Heterogeneities or Inequalities? Health Care Supply and Demand of the Older Population in Italy","authors":"Federico Benassi, Cecilia Tomassini, Giuseppe Di Felice","doi":"10.1007/s12061-025-09647-5","DOIUrl":"10.1007/s12061-025-09647-5","url":null,"abstract":"<div><p>There are significant disparities in health care resources across different regions of Italy, particularly between the centre-north and the south. Public health care spending is notably lower in southern Italy. As a result, health related migration is a major phenomenon, with many individuals traveling to other regions - especially from the south to the centre-north - to receive better medical care, particularly for serious illnesses. During the COVID-19 pandemic, health migration declined significantly, underscoring the crucial role of local and regional health care systems in responding to external shocks. This study examines health care accessibility for older people at municipality level in three regions: Lombardy (northern Italy), Tuscany (central Italy), and Molise (southern Italy). It assesses inequalities in health care supply and demand and evaluates regional health care system responses using the Enhanced Two-Step Floating Catchment Area (E2SFCA) method. Health care accessibility varies considerably across these regions. While Lombardy and Tuscany generally offer high accessibility, Molise faces significant challenges. A substantial proportion of older residents in rural areas of Molise have no access to health care facilities within a 30-minute travel time. This disparity may contribute to inequalities in local health care access, potentially leading to severe consequences for the health and well-being of the older population.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12061-025-09647-5.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143553742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Auckland Urban Liveability Index: A Mechanism for Quantifying and Evaluating Modern Urban Densification

IF 2 4区社会学

Applied Spatial Analysis and Policy Pub Date : 2025-03-01 DOI: 10.1007/s12061-025-09643-9

Jan Magnuszewski, Roger Beecham, Luke Burns

引用次数: 0

Mapping Multidimensional Poverty: The Case of Cambodia

IF 2 4区社会学

Applied Spatial Analysis and Policy Pub Date : 2025-02-27 DOI: 10.1007/s12061-025-09646-6

Karina Acosta

{"title":"Mapping Multidimensional Poverty: The Case of Cambodia","authors":"Karina Acosta","doi":"10.1007/s12061-025-09646-6","DOIUrl":"10.1007/s12061-025-09646-6","url":null,"abstract":"<div><p>Over the past two decades, Cambodia has achieved notable progress in poverty reduction. However, monitoring subnational poverty dynamics remains challenging due to the reliance on aggregated national statistics, which impedes the effective tracking of subnational trends critical for achieving the Sustainable Development Goals (SDGs) on poverty eradication. This study utilizes Bayesian hierarchical geostatistical models to estimate multidimensional poverty rates across Cambodia at varying spatial resolutions for the period 2000 to 2014. By integrating georeferenced household survey data, satellite imagery, and administrative records, the analysis generates poverty maps that address the limitations of traditional national-level statistics. The findings reveal pronounced spatial heterogeneity in poverty reduction, with significant improvements observed in regions benefiting from targeted interventions, such as Special Economic Zones (SEZs) and localized infrastructure projects in Battambang province. Furthermore, the study highlights a divergence between monetary and multidimensional poverty metrics. This misalignment is particularly evident in areas such as the Tonlé Sap and Cambodia’s coastal regions, where unique socioeconomic factors might shape poverty dynamics. These findings emphasize the critical importance of designing tailored, region-specific policy responses to address localized poverty effectively.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143513161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Characteristics and Influencing Factors of Provincial High-End Manufacturing Innovation Clusters in China: A Big Data Analysis of Technology-Based Enterprises

IF 2 4区社会学

Applied Spatial Analysis and Policy Pub Date : 2025-02-20 DOI: 10.1007/s12061-024-09628-0

Yingjie Yu, Debin Du, Qixiang Li

{"title":"Characteristics and Influencing Factors of Provincial High-End Manufacturing Innovation Clusters in China: A Big Data Analysis of Technology-Based Enterprises","authors":"Yingjie Yu, Debin Du, Qixiang Li","doi":"10.1007/s12061-024-09628-0","DOIUrl":"10.1007/s12061-024-09628-0","url":null,"abstract":"<div><p>Previous research on industrial agglomeration has been limited by administrative boundaries, leading to biased results. This paper uses the Duranton and Overman Index to assess high-end manufacturing agglomeration and analyses the influencing factors at various distances. This method surpasses traditional administrative limitations by using continuous geographical distance, providing a more accurate reflection of industrial agglomeration patterns. High-end manufacturing industries show spatial clustering with significant provincial differences, exhibiting patterns of ‘interlaced size’ and ‘small and wide’ agglomeration over 0-300 km, and ‘large and narrow’ within 50 km. Electrical machinery and automotive industries display mixed patterns, while others like computer electronics and railway equipment show varied distance agglomeration. The role of influencing factors on industrial agglomeration has a scaling effect. The relevance of agglomeration economies to industry clustering increases gradually with distance. In contrast, the influence of innovation resources is greater in proximity.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143455681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Impact of Innovative Cities Construction on Air Pollution: Evidence from China

IF 2 4区社会学

Applied Spatial Analysis and Policy Pub Date : 2025-02-20 DOI: 10.1007/s12061-025-09644-8

Peng Yang, Xingyi Zhang, Wenya Lv, Xiaofeng Yu

引用次数: 0