Applied Spatial Analysis and Policy最新文献

{"title":"Exploring the Heterogenous Impacts of the Accessibility on Urban–Rural Disparity in Mountainous Regions of China","authors":"Yelyu Tu,&nbsp;Fanrong Jiang,&nbsp;Tao Li,&nbsp;Zhiping Chen","doi":"10.1007/s12061-024-09633-3","DOIUrl":"10.1007/s12061-024-09633-3","url":null,"abstract":"<div><p>Most studies have explored the association between transportation and urban–rural disparity. However, research focusing on the impact of transportation accessibility on these issues has been relatively scarce. This paper contributes to the literature by examining the spatially varying impacts of multiscale accessibility on urban–rural income disparity (URID) in the Qinba mountainous region (<i>QBM</i>) of China. The results further highlight the differing impacts of county-level, prefecture-level, and provincial-level accessibility on URID. The MGWR model confirms that the effects of multiscale accessibility on URID are spatially heterogeneous. Specifically, county-level accessibility has a significantly negative effect on URID. In contrast, the impacts of prefecture-level and provincial-level accessibility are significantly positive in narrowing the URID, leading to a “diffusion effect.” The narrowing effect of prefecture-level and provincial-level accessibility on URID is more pronounced in the eastern and northern parts of <i>QBM</i>, respectively. In the western mountainous areas of <i>QBM</i>, where most counties experience relatively low accessibility and high URID, prioritizing the expansion of connectivity between mountainous and well-developed areas, optimizing the layouts of villages and towns, and improving overall accessibility is essential. The findings suggest that the implementation of accessibility improvements and transport plans should be place-specific, considering the geographical and socio-economic contexts.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142925650","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":"A Sustainable Urban Framework Based on Natural Capital and Ecosystem Services Accounting","authors":"Haonan Chen,&nbsp;Yu Shi,&nbsp;Haomiao He","doi":"10.1007/s12061-024-09631-5","DOIUrl":"10.1007/s12061-024-09631-5","url":null,"abstract":"<div><p>The concepts of “natural capital” and “sustainable urban development” are garnering widespread attention as the role of the environment and ecology in promoting economic development and maintaining human well-being is increasingly acknowledged. However, prevailing approaches to accounting for natural capital in sustainable cities exhibit deficiencies, with many overlooking the value associated with the natural environment, ecology, and capital stock of these cities. To rectify this issue, we propose a framework for natural capital analysis and decision-making for sustainable cities (Environment-Ecology-Economy Sustainable Development, <i>EEE-SEEA</i>). This framework integrates environmental, ecological, and economic perspectives, employing <i>ArcGIS</i> software for the visualization and analysis of sustainable cities in China. The results indicate an inverted U-shaped development trend distribution for natural capital, with ecosystem service accounting displaying a stable trend. The estimation results for urban sustainable development show a consistent annual increase with a certain level of resource dependence. On a level, natural capital accounting reached its zenith in 2010, gradually declining in 2015 and 2021, thus validating the inverted U-shaped development trend distribution. Ecosystem service accounting has demonstrated continuous development over the years, with the “Hu Huanyong line” becoming a crucial reference for distribution. The degree of sustainable development among cities is on the rise, with the central and northern regions of China exhibiting higher overall development quality. By integrating natural capital accounting and ecosystem service assessment, it becomes evident that cities in eastern and southern China still have significant room for improvement in terms of their sustainable development trajectory.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142906071","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":"Spatiotemporal Variations of Urban Expansion and its Relation with Geomorphological Complexity: a Case Study of the Yogyakarta Urban Region, Indonesia","authors":"Dimas Danar Dewa,&nbsp;Imam Buchori,&nbsp;Iwan Rudiarto,&nbsp;Anang Wahyu Sejati","doi":"10.1007/s12061-024-09629-z","DOIUrl":"10.1007/s12061-024-09629-z","url":null,"abstract":"<div><p>Urban growth in Indonesia is accelerating, particularly in areas with complex geomorphological features. This study examines the spatiotemporal variations of built-up area expansion in the Yogyakarta Urban Region (YUR), a rapidly urbanizing area characterized by diverse landforms and significant development pressures. Using Landsat satellite imagery (2001–2022), the study employed the Landscape Expansion Index (LEI) to classify urban expansion types and the Topographic Position Index (TPI) to analyze geomorphological characteristics. The findings reveal that edge-expansion dominated upper slopes, contributing 69%, 75%, and 79% of built-up area growth in 2001–2008, 2008–2015, and 2015–2022, respectively. Simultaneously, the outlying expansion type has steadily increased, particularly in U-shaped valleys, which grew significantly from 51.35 ha (2001–2008) to 109.28 ha (2008–2015) and 219.14 ha (2015–2022), highlighting an escalating risk of urban sprawl. These findings highlight the need for targeted urban planning policies to monitor and control growth patterns in geomorphologically sensitive areas, reducing sprawl and promoting sustainable development.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142889924","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":"Could the ‘District-to-County’ Policy Suppress Economic Growth? – A Case Study of Yichun, China","authors":"Song Wang,&nbsp;Kerou Gang,&nbsp;Yan Lu,&nbsp;Xionghe Qin","doi":"10.1007/s12061-024-09625-3","DOIUrl":"10.1007/s12061-024-09625-3","url":null,"abstract":"<div><p>The ‘district-to-county’ policy is regarded as a counter-urbanization policy, yet its impact on economic growth is still uncertain. Utilizing the panel data from the district-level units within Yichun and the city-level units in Heilongjiang Province, this paper investigates the effects of the ‘district-to-county’ policy on the economic development at both the intra-city and inter-city levels by difference-in-differences model. The results show that the ‘district-to-county’ policy effectively spurs economic development in the reform areas within Yichun, but exhibits an inhibitory effect compared to other cities in Heilongjiang. Multiple robustness tests support these conclusions. Furthermore, the mechanism analysis reveals that this policy promots economic growth at the intra-city level by enhancing consumption and promoting agricultural development, but causes Yichun’s economic growth to lag behind other cities through consumption and investment at the inter-city level.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12061-024-09625-3.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142890538","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":"Is the High-Speed Railway Network Narrowing the Urban‒Rural Income Gap?","authors":"Tie-Ying Liu,&nbsp;Ye Lin","doi":"10.1007/s12061-024-09622-6","DOIUrl":"10.1007/s12061-024-09622-6","url":null,"abstract":"<div><p>This study discusses the influence of China's high-speed rail (HSR) network on the urban‒rural income gap from 2003–2019. We find that China's HSR network has reduced the urban‒rural income gap since 2003, mainly by promoting industrial upgrading, industry agglomeration, and financial industry development. The results also show that the HSR network decreases the urban‒rural income gap in medium-sized cities but has nonsignificant effects on large and small cities. Additionally, the HSR network can reduce the urban‒rural income gap in cities with high betweenness centrality, whereas it has no significant effect on the urban‒rural income gap in cities with low betweenness centrality. The HSR network expands the urban‒rural income gap in provincial capital cities, whereas it narrows the gap in nonprovincial capital cities. Additionally, the HSR network reduces the urban–rural income gap more for cities with HSR stations far from the provincial capital than for cities with HSR stations close to the provincial capital. This study holds reference value for the spatial optimization of the HSR network.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142844820","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":"Integration Failure or Integration risk? Revisiting the Modality of Return Migration in China","authors":"Zhigang Li,&nbsp;Le Yu,&nbsp;Feifan Gao,&nbsp;Hanbei Cheng,&nbsp;Yuqi Liu","doi":"10.1007/s12061-024-09618-2","DOIUrl":"10.1007/s12061-024-09618-2","url":null,"abstract":"<div><p>Return migration, specifically the return of rural migrants from large cities to their hometowns, has emerged as a notable phenomenon in China in the early 21st century. Existing studies primarily attribute this trend to integration failure, citing factors such as hukou policies, an unequal welfare system and unaffordable housing costs. In contrast to these institutional factors, few studies have examined migrants’ psychological integration, including dimensions such as perceived social integration (PSI) and willingness for social integration (WSI), in relation to their return decisions. To address this gap, this study utilizes data obtained from a questionnaire survey of 712 migrants in Wuhan conducted in 2018, investigating the interactions between PSI, WSI and migrants’ return decisions, as well as the impacts of these perceptions across different migrant groups. Our findings reveal that migrants perceive an ‘integration risk’ when their WSI exceeds their PSI, and this perceived integration risk (PIR) is positively correlated with their return decisions. Additionally, we find that variables such as health status, migration duration, income, neighborhood composition and participation in local activities influence migrants’ return decisions through the mediation of PIR. We argue that strengthening specific, targeted integration policies related to migrants’ PIR will facilitate their settlement in host cities.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142761833","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":"Exploring the Multidimensional Hollowing of Rural Areas in China’s Loess Hilly Region from the Perspective of “Population Outflow”","authors":"Zhihao Shi,&nbsp;Libang Ma,&nbsp;Ziyan Li,&nbsp;Shanshan Wu,&nbsp;Xianfei Chen","doi":"10.1007/s12061-024-09623-5","DOIUrl":"10.1007/s12061-024-09623-5","url":null,"abstract":"<div><p>As a special product of the evolution of urban-rural regional systems, rural hollowing has become a major constraint to China’s rural revitalization. This paper attempts to construct a theoretical framework of rural multidimensional hollowing from the perspective of population outflow, and to comprehensively assess the level of rural hollowing from the dimensions of population, economy and land. Based on this, this paper describes in detail the characteristics and facts of population outflow and rural hollowing in Longxi County, which is located in Longzhong Loess Hilly Regin. The key factors of rural hollowing are identified in terms of individual characteristics, geographic environment and socio-economic attributes. The main conclusions are as follows: (1) Longxi County has significant spatial differences in population outflow. The proportion of floating population in the household population is as high as 28.6%. The villages with intra-provincial preferences show a “center-periphery” circle distribution pattern, and villages with extra-provincial preferences are mainly located in the boundary area. The rural hollowing level of Longxi is characterized by “economic hollowing (<i>Eh</i>) &gt; population hollowing (<i>Ph</i>) &gt; land hollowing (<i>Lh</i>)”. The hollowing level of each dimension has different spatial distribution characteristics, and the rural hollowing (<i>Rh</i>) level shows a spatial pattern of “high in the east and low in the west, high in the south and low in the north”. (3) The influencing factors of rural hollowing vary significantly and are greatly influenced by the geographical and socio-economic attributes of the villages. When one factor (economic or geographical environment) is dominant, low-intensity intra-provincial mobility may occur. However, when all factors are combined, a high-intensity, multi-directional flow trend emerges within and outside the province. This study contributes theoretical insights into understanding the social changes in rural areas during the rapid urbanization process where population outflows occur, and can also provide inspiration for addressing issues in rural transformation.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142754302","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 Aspects of Learning Performance and Efficiency of Primary Education in India","authors":"Mallika Sinha,&nbsp;Rama Pal","doi":"10.1007/s12061-024-09617-3","DOIUrl":"10.1007/s12061-024-09617-3","url":null,"abstract":"<div><p>Given the unequal distribution of educational opportunities across regions, it is insightful to identify spatial clusters in learning performance and investigate how far the regions are from tapping their full potential of educational resources. This paper explores the spatial aspects of learning performance and estimates the technical efficiency of the primary education system of Indian districts using the spatial stochastic frontier analysis. Specifically, we investigate the effect of spatial associations between districts on primary educational efficiency in achieving better learning outcomes. Also, the study examines the regional patterns in efficiency and learning. We find evidence of spatial clustering of learning. Although the mean technical efficiency is 90 per cent, the findings demonstrate substantial regional disparities in India, with efficiency levels ranging from 68 to 97 per cent. Our results suggest that efficient districts can improve learning outcomes from extra inputs, while better utilization of existing inputs may enhance learning for the relatively inefficient districts. Thus, policy formulation needs to align with the specific shortcomings and needs of the districts.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142737112","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":"Where’s the Ticket? Identifying Spatio-Temporal Patterns of Parking Violations with Crowdsourced Web-GIS Data","authors":"Parmenion Delialis,&nbsp;Christina Iliopoulou,&nbsp;Orfeas Karountzos,&nbsp;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}

{"title":"Deep Network Capacitated Covering Location Model: Spatial Location-allocation Optimization of Community Healthcare Facilities in Consideration of Public Health Emergencies","authors":"Zhe Zhang,&nbsp;Zhi He,&nbsp;Yuan Yuan,&nbsp;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}