Applied Spatial Analysis and Policy最新文献

{"title":"Insights from the COVID-19 Pandemic: A Survey of Data Mining and Beyond","authors":"Imad Afyouni,&nbsp;Ibrahim Hashim,&nbsp;Zaher Aghbari,&nbsp;Tarek Elsaka,&nbsp;Mothanna Almahmoud,&nbsp;Laith Abualigah","doi":"10.1007/s12061-024-09588-5","DOIUrl":"10.1007/s12061-024-09588-5","url":null,"abstract":"<p>The global health crisis of COVID-19 has ushered in an era of unprecedented data generation, encompassing the virus’s transmission patterns, societal consequences, and governmental responses. Data mining has emerged as a pivotal tool for extracting invaluable insights from this voluminous dataset, offering critical support for informed decision-making. While existing surveys primarily explore methodologies for detecting COVID-19 in medical imagery and official sources, this article comprehensively examines the pandemic through big data mining. We emphasize the significance of social network analysis, shedding light on the pandemic’s profound influence on community socio-economic behavior. Additionally, we illuminate advancements in diverse domains, encompassing behavioral impact analysis on social media, contact tracing implications, early disease screening through medical imaging, and insights derived from health-related time-series data analytics. Our study further organizes the literature by categorizing it based on data sources, dataset types, analytical approaches, techniques, and application scenarios. Finally, we delineate prevailing challenges and forthcoming research prospects, charting the course for future investigations.</p>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"17 3","pages":"1359 - 1411"},"PeriodicalIF":2.0,"publicationDate":"2024-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141552433","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}

{"title":"Spatial-Temporal Dynamics of Gas Consumption in England and Wales: Assessing the Residential Sector Using Sequence Analysis","authors":"Cameron Ward,&nbsp;Caitlin Robinson,&nbsp;Alexander Singleton,&nbsp;Francisco Rowe","doi":"10.1007/s12061-024-09584-9","DOIUrl":"10.1007/s12061-024-09584-9","url":null,"abstract":"<div><p>The UK residential sector is energy inefficient and has an overwhelming reliance on natural gas as a heating source. For the UK to meet its 2050 net zero obligations, the sector will need to go through a process of decarbonisation. Previous studies acknowledge the spatial disparities of household energy consumption, but have neglected how consumption varies over time. This paper advances such shortcomings via a sequence and clustering analysis to identify common gas consumption trajectories within neighbourhoods in England and Wales between 2010 and 2020. Four clusters are identified: “Very High to High Consumption”; “High to Medium Consumption”; “Medium to Low Consumption” and “Low to Very Low Consumption”. The clusters were contextualised using spatial datasets representing the socio-economic and built environment. Across all clusters, the proportion of energy inefficient dwellings were high, but there was a trend of high consumption associated with lower proportions of energy efficient dwellings. The results provide useful insight to policy makers and practitioners about where best to target electrification and retrofitting measures to facilitate a cleaner and more equitable residential sector. Policy targeting of areas with continual high gas consumption will accelerate the decarbonisation process, whilst targeting areas who continually under consume will likely enhance household health and well-being.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"17 3","pages":"1273 - 1300"},"PeriodicalIF":2.0,"publicationDate":"2024-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12061-024-09584-9.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141552434","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}

{"title":"Early Warning of Vulnerability to Re-Poverty in China: Integrating Regional and Household Perspectives","authors":"Xiaoyan Yan,&nbsp;Boming Zheng,&nbsp;Xinhua Qi,&nbsp;Jinhuang Lin","doi":"10.1007/s12061-024-09585-8","DOIUrl":"10.1007/s12061-024-09585-8","url":null,"abstract":"<div><p>The establishment of an accurate early warning and intervention mechanism for re-poverty (i.e., returning to poverty) is a valuable tool for consolidating the achievements of the Chinese government in poverty alleviation and the effective connection with rural revitalization since completing the task of eliminating absolute poverty. The occurrence of the re-poverty phenomenon is closely related to the vulnerability characteristics of the subject. This paper constructs a vulnerability to re-poverty analysis framework that integrate regional and household perspectives based on \"capital-capacity-welfare\". Zherong County was selected as the case study where the vulnerability assessment model and GeoDetector were adopted to undertake an early warning and Interactive detection analysis respectively. The results show that: (1) The degree of vulnerability to re-poverty of most townships and households in Zherong County is relatively low after the withdrawal of absolute poverty; (2) At the regional level, among 9 townships of Zherong county, the social welfare is more vulnerable than geographical capital and economic capacity, and the degree of vulnerability to re-poverty of Fuxi and Zhayang are relatively high, with warning level III; (3) Among the 737 low-income households registered, 98.4% of them aligned with warning level I and II, only 1.6% of them aligned with warning level III. However, households' livelihood capital vulnerability is generally relatively high, and the improvement of household self-development motivation is still insufficient; (4) Household vulnerability to re-poverty is influenced by both regional and household factors, and the interaction between the two factors can enhance each other's explanatory power to HVRI. We divided the risk into four types and proposed corresponding policy implications based on the coupling of regional and household vulnerability to re-poverty early warning.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"17 3","pages":"1237 - 1271"},"PeriodicalIF":2.0,"publicationDate":"2024-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142412292","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}

{"title":"Urban-Rural Disparity in the Relationship Between Geographic Environment and the Health of the Elderly","authors":"Jiexia Xu,&nbsp;Jing Ma","doi":"10.1007/s12061-024-09586-7","DOIUrl":"10.1007/s12061-024-09586-7","url":null,"abstract":"<div><p>As the aged population increases, the health of seniors (aged 60 years and over) is particularly important for the development of a healthy China, which makes it important to assess the health determinants for the elderly. This study aims to estimate the effect and pathway of microgeographic environment on the seniors’ health and physical activities, and further investigate the urban–rural disparity in the relationship between the seniors’ health and geographic environment. We collected data on 7155 elderly (≥ 60 years) from the Household Health Survey database of the Hebei Provincial Health Planning Commission, China. The geographic environment data, based on different radius buffers of respondents’ residence, were collected from Baidu Maps. The green space data were obtained from the dataset provided by National Ecosystem Science Data Center, National Science &amp; Technology Infrastructure of China. A series of multilevel generalized structural equation models were employed to examine the disparities in the effects of geographic environment on the seniors’ health and physical activities. Built environment has significant direct and indirect effects on the health of the urban elderly, while its indirect effect on the rural elderly is significant. Green space is significantly and positively associated with the seniors’ health, whereas its indirect effect is insignificant in rural areas. Environmental pollution has a negative correlation with seniors’ health, and it also significantly restricts seniors from participating in outdoor physical activities. Physical activity has a significantly beneficial effect and a significant mediating effect on the health of seniors in both urban and rural area. The socioeconomic attributes, such as income, education and age, are significantly associated with the health of urban and rural elderly. The study finds that built environment, green space, environmental pollution and physical activities are crucial factors influencing the seniors’ health, but there is significant urban–rural disparity in the health effects. The findings provide policy implications for the government to develop healthy neighborhoods and cities.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"17 3","pages":"1335 - 1357"},"PeriodicalIF":2.0,"publicationDate":"2024-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141369716","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}

{"title":"50-year Deprivation Trajectories: Local Area Change in England and Wales, 1971–2021","authors":"Paul Norman,&nbsp;Chris Lloyd,&nbsp;David McLennan,&nbsp;Sara Ferguson,&nbsp;Gemma Catney","doi":"10.1007/s12061-024-09583-w","DOIUrl":"10.1007/s12061-024-09583-w","url":null,"abstract":"<div><p>Since 1971, the decennial censuses of England and Wales have underpinned the construction of various local level deprivation measures. Many policy-related and academic studies have used deprivation scores calculated cross-sectionally to identify geographical areas in need of regeneration and to explain spatial variations in health outcomes. However, such an approach masks the sometimes very distinct challenges faced in areas with different deprivation histories. There is, therefore, a need to consider the deprivation trajectories of areas over a long time run. This can then enable, for example: monitoring the effects of industry closure; assessing the impacts of area-based planning initiatives; and determining whether a change in the level of deprivation leads to changes in health outcomes. It can also be used to consider what interventions may be linked with positive changes and which could then possibly be implemented elsewhere. Here we extend previous work to cover a 50-year period using input variables relating to employment, housing, and car accessibility, from the six censuses from 1971 to 2021. We identify areas of persistent (dis-)advantage, those areas which have improved their deprivation situation, and those places where the situation has worsened. We cross-classify the changing deprivation measurements with the Office for National Statistics (ONS) Supergroups area classification to thereby determine how different types of area are faring. On average, areas are less deprived in 2021 than in 1971. However, the trajectories of the input variables and of overall deprivation are not linear. The earlier decades are distinctive in rapid falls in non-home ownership and lack of car access but rises and falls in unemployment. The more recent decades have seen rises in non-home ownership and household overcrowding. Geographically, there has been a shift from a widespread level of deprivation, including in more rural areas in 1971, to being more concentrated in urban areas in the 21st Century.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"17 3","pages":"1183 - 1208"},"PeriodicalIF":2.0,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12061-024-09583-w.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141103345","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}

{"title":"The Impact of the Digital Economy on Provincial Carbon Emissions in China","authors":"Jiekun Song,&nbsp;Zhicheng Liu,&nbsp;Xueli Leng","doi":"10.1007/s12061-024-09582-x","DOIUrl":"10.1007/s12061-024-09582-x","url":null,"abstract":"<div><p>With the arrival of the Fourth Industrial Revolution, digital changes have occurred in various areas, such as production, circulation, and exchange, triggering efficiency and quality changes in the entire economic system and bringing new opportunities for China’s energy conservation and carbon reduction policies. Based on the panel data of 30 provinces in China from 2006 to 2020, this paper uses ArcGIS software and the Moran index method to analyze the spatial distribution characteristics and agglomeration effects of the digital economy and carbon emissions and uses the spatial Durbin model to analyze the impact mechanism of the digital economy on carbon emissions. The results show that the development of the digital economy can significantly suppress provincial carbon emissions, and the carbon reduction effect of the digital economy has a significant positive spatial spillover effect. The digital economy can reduce carbon emissions by promoting technological innovation and optimizing the industrial structure. However, the carbon emission reduction effect of energy structure optimization is uncertain due to energy rebound effects. The digital economy has a suppressive effect on carbon emissions in both the eastern and western regions, while the development of the digital economy in the central region increases carbon emissions due to factors such as the “resource curse”, income effects and energy rebound effects. Digital economy development plays an inhibitory role in the carbon emissions of regions, with the greater the digital economy level, the more significant the inhibitory effect. Based on the above results, corresponding suggestions are proposed to strengthen the development of the digital economy and promote carbon reduction.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"17 3","pages":"1209 - 1235"},"PeriodicalIF":2.0,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141107740","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}

{"title":"Digital Inclusive Finance, Spatial Spillover Effects and Relative Rural Poverty Alleviation: Evidence from China","authors":"Panpan Pei,&nbsp;Shunyi Zhang,&nbsp;Guangxia Zhou","doi":"10.1007/s12061-024-09580-z","DOIUrl":"10.1007/s12061-024-09580-z","url":null,"abstract":"<div><p>How to govern relative rural poverty is the key and difficulty in eliminating poverty and achieving common prosperity in China. With the rapid development of digital economy, digital inclusive finance is playing an increasingly fundamental role in poverty alleviation. As an important new financial form, whether and how digital inclusive finance affects relative rural poverty is not yet known. Based on new economic geography, this paper empirically tests the direct and spatial impacts of digital financial inclusion on relative rural poverty alleviation by constructing spatial econometric models and using panel data from 31 provinces (autonomous regions and municipalities directly under the central government) in China from 2012 to 2019. The study found that there is a significant positive spatial correlation in relative rural poverty; the development of digital inclusive finance has a significant inhibitory effect on relative rural poverty. Meanwhile, the development of digital inclusive finance in the local province also has a negative spatial spillover effect on rural relative poverty in surrounding areas. Therefore, it is necessary to boost the development of digital inclusive finance, improve the coordination of inclusive finance between regions, and promote inter-regional economic cooperation in the future. Poverty alleviation remains a challenge in the world, especially in developing countries. Digital inclusive finance, which is a new form of inclusive finance and digital economy widely applied in China, could play an increasingly fundamental role in poverty alleviation in rural areas. In this study, a spatial econometric model (SAR) is constructed based on the new economic geography, and the digital financial inclusion index is integrated with macro-economic data at a provincial level in China from 2012 to 2019. The direct and spatial impacts of digital inclusive finance on poverty reduction in rural areas were accessed using the developed model. Results show that digital inclusive finance can significantly reduce relative poverty in rural areas in China. More importantly, it is indicated that there is a significant positive spatial correlation in relative rural poverty, and digital inclusive finance has a negative spatial spillover effect on relative rural poverty, which is supported by a series of endogeneity and robustness tests, such as substitution of relative poverty, replacing models, and using alternative specifications. Recommendations on implementations in poverty alleviation are proposed based on the results of this study. This paper further complements the hot research field on finance development and income inequality. Our findings offer insights into the development of inclusive financial policies for relative rural poverty alleviation in other countries, especially in developing countries with similar backgrounds to China.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"17 3","pages":"1129 - 1160"},"PeriodicalIF":2.0,"publicationDate":"2024-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140968572","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}

{"title":"The Impact of Public Investment on Urban Growth Under Different Scenarios by Using the SLEUTH as a Forecasting Model: The Case of Konya/Turkey","authors":"Ceren Yagci,&nbsp;Fatih Iscan","doi":"10.1007/s12061-024-09581-y","DOIUrl":"10.1007/s12061-024-09581-y","url":null,"abstract":"<div><p>This article’s main focus has been the Rink Road Project in Konya, which is slated for construction despite serious urban growth issues. The study looked at how this project may impact urban growth in order to provide knowledge that would guide future land use policies and plans for sustainable urban development. The urban growth trend 2043 which is the target year of the environmental plan, and 2055 were examined using the SLEUTH Urban Growth model. Six different SLEUTH model scenarios that take a different tack on urban growth were assessed in alternative futures. This study also tries to figure out; assesses a range of potential spatial transformations around the planned Konya Ring Road (KRR), incorporating the first Environmental Plan established post the enactment of Turkey's Law No. 6360 into the scenario planning. According to future predictions of urban growth, a flexible Konya Environmental Plan (KEP) in the short term could potentially intensify the adverse effects of urban expansion associated with the KRR in the absence of a stringent KEP. Long-term observations from the examined scenarios reveal a significantly higher projected urban growth in cases where an KEP is absent. If current land policies continue without significant modifications, the completion of the KRR is expected to accelerate urban growth in Konya, leading to a substantial transformation of natural areas into urban zones.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"17 3","pages":"1161 - 1182"},"PeriodicalIF":2.0,"publicationDate":"2024-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140928631","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}

{"title":"Evaluating Spatial Accessibility to COVID-19 Vaccination Sites based on Fine-Scale Population Distributions and Heterogeneous Travel Modes: A Case Study in Xiangtan, China","authors":"Wentao Yang,&nbsp;Fengjie Wang,&nbsp;Yihan You,&nbsp;Xiafan Wan,&nbsp;Sijie Cheng,&nbsp;Zhixiong Fang","doi":"10.1007/s12061-024-09574-x","DOIUrl":"10.1007/s12061-024-09574-x","url":null,"abstract":"<div><p>Understanding the inequity in spatial accessibility to COVID-19 vaccination sites is beneficial for the government to optimize vaccine resources. Nevertheless, the result of evaluating spatial accessibility to COVID-19 vaccination sites may be directly affected by the lack of fine-scale and accurate population distribution information in both urban and rural areas. In addition, the choice of travel modes related to different age groups has not been incorporated into existing methods well. Consequently, this study proposes a framework to evaluate spatial accessibility to COVID-19 vaccination sites based on fine-scale population distributions and heterogeneous travel modes. A divide-and-conquer strategy is first presented to estimate the fine-scale populations in both urban and rural areas. A hybrid time distance considering heterogeneous travel modes and a population-weighted proximity indicator are then defined to evaluate spatial accessibility for each age group. The experimental results from Xiangtan, China, show that (1) the divide-and-conquer strategy can effectively predict the urban and rural populations. (2) Similar clustering patterns of spatial accessibility are observed for each age group. (3) Inequities have been confirmed at the county level. The main findings in this study can provide valuable information supporting the spatial optimization of existing COVID-19 vaccination sites.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"17 3","pages":"867 - 890"},"PeriodicalIF":2.0,"publicationDate":"2024-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12061-024-09574-x.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140653760","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}

{"title":"Correction to: Convergence and Catch‑Up of the Region Types in the Central and Eastern European Countries","authors":"Zoltán Egri,&nbsp;Imre Lengyel","doi":"10.1007/s12061-024-09579-6","DOIUrl":"10.1007/s12061-024-09579-6","url":null,"abstract":"","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"17 4","pages":"1785 - 1785"},"PeriodicalIF":2.0,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12061-024-09579-6.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140674469","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}