Applied Spatial Analysis and Policy最新文献_第4页

Where’s the Ticket? Identifying Spatio-Temporal Patterns of Parking Violations with Crowdsourced Web-GIS Data 罚单在哪里？利用众包网络-地理信息系统数据识别违章停车的时空模式

IF 2 4区社会学

Applied Spatial Analysis and Policy Pub Date : 2024-11-26 DOI: 10.1007/s12061-024-09624-4

Parmenion Delialis, Christina Iliopoulou, Orfeas Karountzos, Konstantinos Kepaptsoglou

{"title":"Where’s the Ticket? Identifying Spatio-Temporal Patterns of Parking Violations with Crowdsourced Web-GIS Data","authors":"Parmenion Delialis, Christina Iliopoulou, Orfeas Karountzos, Konstantinos Kepaptsoglou","doi":"10.1007/s12061-024-09624-4","DOIUrl":"10.1007/s12061-024-09624-4","url":null,"abstract":"<div><p>Illegal parking is a widespread issue in urban environments, leading to significant adverse effects on traffic flow, public safety, and the aesthetics of streetscapes. This paper introduces an innovative methodology for the identification and analysis of illegal parking hotspots. To achieve this, a custom Web-GIS platform is developed that employs crowdsourcing, enabling citizens to report the precise locations and types of parking violations they encounter. The platform collects this data, which is then analyzed using a Spatio-Temporal Density Based Spatial Clustering of Applications with Noise (ST-DBSCAN) algorithm. The methodology was applied in the city of Athens, Greece, with the findings revealing that parking violations are not uniformly distributed but instead show distinct spatial and temporal patterns. Specifically, certain areas and times during the day exhibit considerably higher levels of illegal parking. For instance, commercial areas tend to experience more violations during business hours, while residential areas see more issues during evenings and weekends, mainly due to an increasing number of already parked cars and a lack of organized parking spaces. By providing a data-driven approach to identifying critical areas of illegal parking, city officials can better allocate enforcement resources and develop targeted strategies to mitigate this issue, highlighting the significant implications of the study for urban management and policy-making. Therefore, the main goal of this research is to contribute to the enhancement of urban mobility and the overall quality of life by addressing one of the most persistent challenges in city management.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142714431","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

Deep Network Capacitated Covering Location Model: Spatial Location-allocation Optimization of Community Healthcare Facilities in Consideration of Public Health Emergencies 深度网络容量覆盖定位模型：考虑公共卫生突发事件的社区医疗设施空间位置分配优化

IF 2 4区社会学

Applied Spatial Analysis and Policy Pub Date : 2024-11-19 DOI: 10.1007/s12061-024-09619-1

Zhe Zhang, Zhi He, Yuan Yuan, Xi Chen

{"title":"Deep Network Capacitated Covering Location Model: Spatial Location-allocation Optimization of Community Healthcare Facilities in Consideration of Public Health Emergencies","authors":"Zhe Zhang, Zhi He, Yuan Yuan, Xi Chen","doi":"10.1007/s12061-024-09619-1","DOIUrl":"10.1007/s12061-024-09619-1","url":null,"abstract":"<div><p>Equitable and efficient healthcare service is a critical issue for policymakers and planners in public health emergency events. However, current optimization methods of spatial location-allocation for healthcare facilities at community level often overlook the potential requirements stemming from outbreaks of infectious disease, which lead to biases in facility layout. This study proposes a deep network capacitated covering location model to optimize the spatial location-allocation of community healthcare facilities by considering the site suitability of facilities with an emphasis on emergency preparedness and residents’ access on foot. In the experimental analysis in Panyu district, Guangzhou, we establish the site suitability and access evaluation criteria to build a feature cube comprising 18 criteria maps. By labeling positive and negative samples for the deep site evaluation network model training, we input the feature cube to the model to identify suitable candidate sites. Then we evaluate the healthcare facility distribution against residents’ demands to optimize the spatial layout of healthcare facilities considering capacity constraints. The results indicate significant spatial disparities in community healthcare facility access, with the current distribution failing to meet demands. According to our approach, 637 suitable site locations as candidate sites are classified. Moreover, we find that only 51 additional facilities are needed to extend coverage to 91.2% of the population within a 30-minute walk. The proposed model outperforms the analytic hierarchy process by more accurately addressing residents’ actual healthcare needs. From a policy perspective, optimizing healthcare facility location-allocation using the proposed method improves equity and efficiency for residents at a walking scale, while maintaining emergency preparedness.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142672590","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

Exploring Spatial Patterns and Heterogeneity in Rural Household Quality of Living: Insights from Eastern India 探索农村家庭生活质量的空间模式和异质性：印度东部的启示

IF 2 4区社会学

Applied Spatial Analysis and Policy Pub Date : 2024-11-19 DOI: 10.1007/s12061-024-09620-8

Suranjan Majumder, Subham Roy, Prosenjit Kayal, Arghadeep Bose, Guneswar Barman, Debanjan Basak, Indrajit Roy Chowdhury

{"title":"Exploring Spatial Patterns and Heterogeneity in Rural Household Quality of Living: Insights from Eastern India","authors":"Suranjan Majumder, Subham Roy, Prosenjit Kayal, Arghadeep Bose, Guneswar Barman, Debanjan Basak, Indrajit Roy Chowdhury","doi":"10.1007/s12061-024-09620-8","DOIUrl":"10.1007/s12061-024-09620-8","url":null,"abstract":"<div><p>Rural household quality of living is a fundamental aspect that determines the overall standard of living and well-being experienced by families residing in rural areas. This study comprehensively examines spatial variations in rural household living conditions among 341 administrative blocks located within West Bengal. This study employs the Rural Household Quality of Living Index (RHQoLI) as an analytical tool to assess rural households’ housing, economic and social aspects. The RHQoLI computation using Principal Component Analysis (PCA) involves three indices - Housing Quality Index (HQoLI), Economic Quality Index (EQoLI), and Social Quality Index (SQoLI) - based on twelve indicators. The further analysis employed bivariate and univariate Local Indicators of Spatial Association(LISA) and Moran’s I techniques to examine spatial patterns and heterogeneity. The findings reveal significant regional disparities in the quality of living across various blocks located within West Bengal, with about 115 blocks reflecting low RHQoLI status exhibiting significant clustering patterns at 0.415. Regarding bivariate analysis, SQoLI exhibits a maximum clustering pattern at 0.393, followed by EQoLI and SQoLI. This comprehensive analysis offers insights into variations related to living conditions alongside emerging spatial clustering patterns prevalent within rural West Bengal, facilitating a better understanding of the socioeconomic landscape policymakers can leverage towards creating inclusive development in these areas.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142672655","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

Effects of Pandemic Response Measures on Crime Counts in English and Welsh Local Authorities 大流行病应对措施对英格兰和威尔士地方当局犯罪数量的影响

IF 2 4区社会学

Applied Spatial Analysis and Policy Pub Date : 2024-11-19 DOI: 10.1007/s12061-024-09614-6

Niloufar Pourshir Sefidi, Amin Shoari Nejad, Peter Mooney

{"title":"Effects of Pandemic Response Measures on Crime Counts in English and Welsh Local Authorities","authors":"Niloufar Pourshir Sefidi, Amin Shoari Nejad, Peter Mooney","doi":"10.1007/s12061-024-09614-6","DOIUrl":"10.1007/s12061-024-09614-6","url":null,"abstract":"<div><p>The global response to the COVID-19 pandemic between January 2020 and late 2021 saw extraordinary measures such as lockdowns and other restrictions being placed on citizens’ movements in many of the world’s major cities. In many of these cities, lockdowns required citizens to stay at home; non-essential business premises were closed, and movement was severely restricted. In this paper, we investigate the effect of these lockdowns and other pandemic response measures on crime counts within the local authorities of England and Wales. Using openly accessible crime records from major police forces in the UK from 2015 to 2023, we discuss the impacts of lockdowns on the incidences of crime. We show that as time passed and citizens’ response to the imposed measures eased, most types of crime gradually returned to pre-pandemic norms whilst others remained below their pre-pandemic levels. Furthermore, our work shows that the effects of pandemic response measures were not uniform across local authorities. We also discuss how the findings of this study contribute to law enforcement initiatives.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12061-024-09614-6.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142672656","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 Autocorrelation Methods in Identifying Migration Patterns: Case Study of Slovakia 确定移民模式的空间自相关方法：斯洛伐克案例研究

IF 2 4区社会学

Applied Spatial Analysis and Policy Pub Date : 2024-11-14 DOI: 10.1007/s12061-024-09615-5

Loránt Pregi, Ladislav Novotný

{"title":"Spatial Autocorrelation Methods in Identifying Migration Patterns: Case Study of Slovakia","authors":"Loránt Pregi, Ladislav Novotný","doi":"10.1007/s12061-024-09615-5","DOIUrl":"10.1007/s12061-024-09615-5","url":null,"abstract":"<div><p>The collapse of the socialist regime led to significant changes in migration patterns, garnering considerable attention in geographical research. However, despite the increased interest, many studies on internal migration lack a detailed analysis of its spatial aspects. Spatial autocorrelation methods can reveal spatial patterns, but so far they have not been applied in the detailed research of internal migration in post-socialist countries. The aim of this study is to explore the spatial patterns of internal migration with regard to intra-regional and inter-regional migration processes using selected indicators of spatial autocorrelation (Global Moran’s I, Anselin local Moran’s I and Getis-Ord Gi* statistic) with Slovakia as a case study. A partial goal is to evaluate the benefits of applying these methods in the assessment of internal migration. Local indicators of spatial autocorrelation demonstrated significant differentiation of both intra-regional and inter-regional migration processes. The dominant intra-regional process is the decentralization of the population, which is very intensive in the regions of the largest towns and cities. Inter-regional migration displays spatial polarisation, emphasizing the importance of the location of key economic centres. The methodology employed in this study clearly displays the clusters of municipalities with above-average and below-average values. This approach enables the identification and cartographic interpretation of specific municipalities where migration contributes the most to the spatial redistribution of the population. The study serves as a valuable framework for similar analyses, emphasizing the broader applicability of spatial autocorrelation methods in studying migration patterns.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12061-024-09615-5.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142636641","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 Impact of Angular Effects on Nighttime Economy Observations: Determining the Optimal Observation Angle of Nighttime Light Remote Sensing 角度效应对夜间经济观测的影响：确定夜间光线遥感的最佳观测角度

IF 2 4区社会学

Applied Spatial Analysis and Policy Pub Date : 2024-11-11 DOI: 10.1007/s12061-024-09616-4

Caihong Ou, Fei Tang, Xiaohui Deng, Lin Wang

{"title":"The Impact of Angular Effects on Nighttime Economy Observations: Determining the Optimal Observation Angle of Nighttime Light Remote Sensing","authors":"Caihong Ou, Fei Tang, Xiaohui Deng, Lin Wang","doi":"10.1007/s12061-024-09616-4","DOIUrl":"10.1007/s12061-024-09616-4","url":null,"abstract":"<div><p>The nighttime economy is instrumental in driving economic growth, particularly in the post-pandemic era. Nighttime Light (NTL) data is a key source in nighttime economy remote sensing study, with its angular effect directly affecting result accuracy. This study compares the accuracy of identifying nighttime economic agglomerations (NEAs) in Shanghai using Black Marble NTL and POI data at three observation angles: near-nadir, off-nadir, and all-angle. The results indicate that under all three angles, landmark NEAs can be identified fairly well. However, near-nadir demonstrates superior sample library identification accuracy and Theil index performance compared to all-angle and off-nadir. The study reveals that near-nadir observations offer higher accuracy and better suppression of “pseudo-accuracy units”, making them more suitable for studying the nighttime economy. Furthermore, the study analyzes the spatial distribution characteristics of NEAs in Shanghai and finds a distinct “center-periphery” development pattern, suggesting imbalances in overall development. The presence of buildings with scattered high-low distribution and complex urban structures contributes to the variations in NEA identification under different satellite-observed angles. This study provides valuable insights into selecting the appropriate satellite-observed angle for studying NEAs using NTL data. It also explores the potential application of Black Marble NTL data products in socioeconomic remote sensing.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142598819","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 of Spatial Variance of Family Policy that Could Increase Fertility: Indices for 23 OECD Countries across 21 Year Period 可能增加生育率的家庭政策空间差异图：21 年间 23 个经合组织国家的指数

IF 2 4区社会学

Applied Spatial Analysis and Policy Pub Date : 2024-11-05 DOI: 10.1007/s12061-024-09613-7

Monika Šmeringaiová

{"title":"Mapping of Spatial Variance of Family Policy that Could Increase Fertility: Indices for 23 OECD Countries across 21 Year Period","authors":"Monika Šmeringaiová","doi":"10.1007/s12061-024-09613-7","DOIUrl":"10.1007/s12061-024-09613-7","url":null,"abstract":"<div><p>In a period of falling fertility rates and increasing number of various family policies (FPs) that are designed to address this trend, our study explores spatial and temporal variance of such FP measures which could be associated with increased fertility. They have been implemented in a range of countries, but their variance has not yet been systematically mapped. We employ a novel approach, examining gender and economic dimensions of FP measures to develop FP indices scoring 23 European OECD countries throughout the 2000–2021 period and uncover spatial similarities and discrepancies therein. Our findings indicate that degenderizing FP measures are increasingly being adopted across countries, with both genderizing and generous financial measures also enduring. Interestingly, despite an overall decline in fertility rates, FP has become more robust across countries according to the indices. We agree with recent studies that degenderizing FPs are most common in Nordic countries and least so in Central and Eastern Europe. We provide evidence that Hungary and Estonia are exceptions, with different types and more extensive FP. We also found that countries categorised in different contextual clusters sometimes score similarly strongly on genderizing FP (Czechia, Luxembourg, Spain) or weakly on financial FP measures (Slovakia, the UK, Greece). In countries where index scores increased only recently (e.g., Switzerland, Spain), we expect potential increases in fertility rates in the future.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12061-024-09613-7.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142579447","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

Predicting Public Violent Crime Using Register and OpenStreetMap Data: A Risk Terrain Modeling Approach Across Three Cities of Varying Size 利用登记册和 OpenStreetMap 数据预测公共暴力犯罪：跨越三个不同规模城市的风险地形建模方法

IF 2 4区社会学

Applied Spatial Analysis and Policy Pub Date : 2024-10-31 DOI: 10.1007/s12061-024-09609-3

Karl Kronkvist, Anton Borg, Martin Boldt, Manne Gerell

{"title":"Predicting Public Violent Crime Using Register and OpenStreetMap Data: A Risk Terrain Modeling Approach Across Three Cities of Varying Size","authors":"Karl Kronkvist, Anton Borg, Martin Boldt, Manne Gerell","doi":"10.1007/s12061-024-09609-3","DOIUrl":"10.1007/s12061-024-09609-3","url":null,"abstract":"<div><p>The aim of the current study is to estimate whether spatial data on place features from OpenStreetMap (OSM) produce results similar to those when employing register data to predict future violent crime in public across three Swedish cities of varying sizes. Using violent crime in public as an outcome, four models for each city are produced using a Risk Terrain Modeling approach. One using spatial data on place features from register data and one from OSM, one model with prior violent crime excluded and one with prior crime included. The results show that several place features are significantly associated with violent crime in public independent of using register or OSM data as input. While models using register data seem to produce more accurate and efficient predictions than OSM data for the two smaller cities, the difference for the largest city is negligible indicating that the models provide similar results. As such, OSM place feature data may be of value when predicting the spatial distribution of future violent crime in public and provide results similar to those when using register data, at least when employed in larger compared to smaller cities. Possibilities, limitations, and avenues for future research when using OSM data in place-based criminological research are discussed.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12061-024-09609-3.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142555180","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 Relationship Characteristics and Multi-Gradient Differentiation Between Rural Population and Agricultural Production Space in Typical Ecologically Fragile Areas of China 中国典型生态脆弱地区农村人口与农业生产空间的关系特征与多梯度分化

IF 2 4区社会学

Applied Spatial Analysis and Policy Pub Date : 2024-10-28 DOI: 10.1007/s12061-024-09612-8

Libang Ma, Tianmin Tao, Min Gong, Zhihang Zhu, Jieyu Li, Qing Zhu

{"title":"The Relationship Characteristics and Multi-Gradient Differentiation Between Rural Population and Agricultural Production Space in Typical Ecologically Fragile Areas of China","authors":"Libang Ma, Tianmin Tao, Min Gong, Zhihang Zhu, Jieyu Li, Qing Zhu","doi":"10.1007/s12061-024-09612-8","DOIUrl":"10.1007/s12061-024-09612-8","url":null,"abstract":"<div><p>Under the double pressure of the onset of aging and declining fertility rate, improving the efficiency of spatial allocation of the rural labor force is of great significance in promoting the sustainable development of agriculture. The loess hilly region is a typical ecologically fragile area in China. This paper takes 422 administrative villages in Qin’an County of China’s loess hilly region as the evaluation unit. It combines spatial concentration, spatial interaction, and spatial mismatch index to reveal the characteristics of the relationship between rural population and agricultural production space from a multi-gradient perspective. The results show that: (1) Rural population and agricultural production space show a reverse unbalanced “center-edge” structure, with rural population clustering in the urban area and agricultural production space spreading to the periphery, with a significant unbalanced distribution. (2) Rural population and agricultural production space show diversified relationship characteristics, with significant inconsistency in their spatial concentration, overall low spatial interaction, and obvious spatial mismatch index, which greatly affects the rational utilization of human resources and land resources. (3) The characteristics of the relationship between rural population and agricultural production space are influenced by natural endowment, economic development level, and location conditions, showing a multi-gradient differentiation pattern. Based on the research results, this paper proposes a reasonable path for the coordinated development of rural population and agricultural production space in China’s loess hilly region from a multi-gradient perspective.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142518566","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

Evolution Pattern of Urban Agglomerations Based on Bayesian Networks from the Perspective of Spatial Connection: A Case Study of Guangdong-Hong Kong-Macao Greater Bay Area, China 空间联系视角下基于贝叶斯网络的城市群演化模式：中国粤港澳大湾区案例研究

IF 2 4区社会学

Applied Spatial Analysis and Policy Pub Date : 2024-10-28 DOI: 10.1007/s12061-024-09610-w

Yao Yang, Zaheer Abbas, Chunbo Zhang, Dan Wang, Yaolong Zhao

{"title":"Evolution Pattern of Urban Agglomerations Based on Bayesian Networks from the Perspective of Spatial Connection: A Case Study of Guangdong-Hong Kong-Macao Greater Bay Area, China","authors":"Yao Yang, Zaheer Abbas, Chunbo Zhang, Dan Wang, Yaolong Zhao","doi":"10.1007/s12061-024-09610-w","DOIUrl":"10.1007/s12061-024-09610-w","url":null,"abstract":"<div><p>The study of the formation and development of urban agglomerations is of great significance, and the connection between cities is the critical foundation for shaping these agglomerations. However, the mechanism behind spatial connection between cities in the formation of urban agglomerations remains unclear. Using the Greater Bay Area (GBA) as a case study, we proposed a Bayesian network framework that integrated the spatial connection index and land use intensity. We constructed a dependency network of land use intensity from the perspective of spatial connection, and summarized the spatiotemporal evolution patterns of urban agglomeration combined with social network analysis methods. The results indicate that: (1) From 1980 to 2020, both land use intensity and spatial connection strength in the GBA have significantly increased, though the characteristics of different cities varied noticeably; (2) The spatial connection center of the urban agglomeration has shifted geographically from Hong Kong and Macao to the Pearl River Delta, and then to the east bank of the Pearl River. Hong Kong, Guangzhou, and Shenzhen are the three core cities in the spatial connection network, each with different development trajectories. (3) A dependency network of changes in land use intensity among cities at different stages from the perspective of spatial connection was constructed, identifying the evolving roles of each city in the development of the urban agglomeration. The study discussed a three-stage development model of urban agglomerations from the perspective of spatial connection, providing a new perspective for exploring the formation mechanism of urban agglomerations.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142518568","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