Applied Spatial Analysis and Policy最新文献_第6页

Does the Construction of Urban Physical Space Environment Improve Innovation Performance? Microscopic Evidence from Street View Images 城市物理空间环境建设是否能提高创新绩效？街景图像中的微观证据

IF 1.9 4区社会学

Applied Spatial Analysis and Policy Pub Date : 2025-06-21 DOI: 10.1007/s12061-025-09682-2

Yuzheng Zhang, Yiping Wang, Yan Lu, Xiaojian Chen

{"title":"Does the Construction of Urban Physical Space Environment Improve Innovation Performance? Microscopic Evidence from Street View Images","authors":"Yuzheng Zhang, Yiping Wang, Yan Lu, Xiaojian Chen","doi":"10.1007/s12061-025-09682-2","DOIUrl":"10.1007/s12061-025-09682-2","url":null,"abstract":"<div><p>Urban physical space environments are crucial for innovation activities. However, existing research predominantly focuses on the spatial distribution of innovation at medium and macro scales, the influence of economic and social factors, and the innovation network structures of urban agglomerations. To enhance scientific and technological innovation, it is essential to understand how urban physical space environments impact innovation performance at the micro scale. Leveraging patent data from Xi'an and street view images from Baidu Maps, this research introduces an interaction regression model framework. This framework aims to evaluate the combined influence of physical spatial scene elements and organizational structures on innovation performance. Through the integration of visual perception data and space syntax analysis, the study delves into the micro-scale spatial factors that determine innovation performance. The findings reveal that innovation performance correlates with the agglomeration patterns of scene-factor characteristics and the centrality of organizational structures. The combined perceptions of these elements by innovative talents significantly influence innovation performance. Specifically, factors such as green view index, walkability, road hardening ratio, sky view factor, and interface enclosure degree, along with centrality-based organizational structures, play vital roles. The inner city's physical space environment has a more pronounced impact on innovation performance than peripheral areas, contingent on environmental quality and spatial scale in the inner city, and on the intensity of the physical space in peripheral regions. A well-designed physical space can enhance physical activity and psychological well-being, boost knowledge spillovers, and improve innovation performance through spatial mapping effects.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 3","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145167307","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

To Determine if Changing to White Light Street Lamps Reduces Crime: A Multilevel Longitudinal Analysis of Crime Occurrence during the Relighting of Leeds, a UK City 确定更换白光路灯是否会减少犯罪：英国利兹市重新照明期间犯罪发生的多层次纵向分析

IF 1.9 4区社会学

Applied Spatial Analysis and Policy Pub Date : 2025-06-20 DOI: 10.1007/s12061-025-09675-1

Paul R Marchant, Paul D Norman

{"title":"To Determine if Changing to White Light Street Lamps Reduces Crime: A Multilevel Longitudinal Analysis of Crime Occurrence during the Relighting of Leeds, a UK City","authors":"Paul R Marchant, Paul D Norman","doi":"10.1007/s12061-025-09675-1","DOIUrl":"10.1007/s12061-025-09675-1","url":null,"abstract":"<div><p>This confirmatory study estimates the effect on Police Recorded Crimes (PRCs) of a relighting programme that installed nearly 80,000 white-light lamps, replacing predominantly orange ones, in the years 2005 to 2013, throughout the UK city of Leeds. Time series of weekly PRCs in all 107 Middle-layer Super Output Areas, while road lighting was being almost completely relit, were analysed using multilevel modelling. The background change in PRCs in each area, when and where no lighting was changed, was separated from that associated with when and where replacement white lamps were installed, by including a polynomial for the underlying time-trend. The key interest is how the replacement by new white lamps affects the rate of crime, from the start to the finish of the relighting. The results show that over the period, there was an estimated 2% rise in daylight adjusted darkness crime associated with relighting, 95% confidence interval (CI) (−3% to +7%). Similarly associated with relighting, (unadjusted) darkness crime showed a rise of 3%, 95% CI (−1% to +8%) and the round-the-clock measure of crime (the sum of darkness and daylight crime) gave an estimated rise of 3%, 95% CI (0% to +6%). Many checks were made, all giving consistent null results; that is, giving narrow confidence intervals around zero of only a few percent wide after relighting. Therefore, no evidence was found for an improvement (or detriment) in the city’s level of crime by relighting, contrary to the substantial reduction anticipated by the city council.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 3","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12061-025-09675-1.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145167760","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

Evolution of Metro Station-level Travel Behavior in Xi’an, China: a Comparison of Pre, Peri, and Post Pandemic 中国西安地铁站级出行行为的演变：流行病前、中、后的比较

IF 1.9 4区社会学

Applied Spatial Analysis and Policy Pub Date : 2025-06-16 DOI: 10.1007/s12061-025-09681-3

Peikun Li, Wenbo Lu, Chaoqun Ma

{"title":"Evolution of Metro Station-level Travel Behavior in Xi’an, China: a Comparison of Pre, Peri, and Post Pandemic","authors":"Peikun Li, Wenbo Lu, Chaoqun Ma","doi":"10.1007/s12061-025-09681-3","DOIUrl":"10.1007/s12061-025-09681-3","url":null,"abstract":"<div><p>The COVID-19 pandemic has had a tremendous impact on the lives and travel of all humans, which to some extent has changed human travel behavior of the metro. Therefore, the primary objective of this study was to investigate the spatial-temporal evolutionary characteristics of metro travel behavior in the pre, peri, and post-COVID-19 pandemic periods. Firstly, the stations were categorized into four groups based on passenger flow characteristics, using the K-means algorithm, and the functionality of each category was defined. Secondly, the change between origin-destination (OD) passenger flow and average travel distance of passengers (ATDP) in different COVID-19 periods was analyzed using metro smart card data. Thirdly, the study quantitatively analyzed the relationship between the changes in ATPD of subway passengers and the surrounding land use using the Multiscale Geographically Weighted Regression (MGWR) method and examined the spatial distribution heterogeneity of the local influencing variables. The results demonstrate that the ATDP for all stations decreased dramatically in the peri-COVID-19. Meanwhile, the distribution of OD passenger flows shows the least fluctuation between residential-oriented stations and the fastest recovery of OD passenger flows in the post-COVID-19 period. The analysis results of these changes provide valuable theoretical and empirical support for the implementation of effective epidemic control measures in the post-COVID-19 era and for addressing potential future public health crises in the metro system.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 3","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145166363","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

Resident Participation in Flood Response: A Machine Learning and Agent-Based Simulation Study of Zhengzhou, China 郑州市居民参与洪水响应：基于机器学习和agent的模拟研究

IF 1.9 4区社会学

Applied Spatial Analysis and Policy Pub Date : 2025-06-16 DOI: 10.1007/s12061-025-09680-4

Yuxiao Wang, Xinyue Han, Wei Ma, Zanmei Wei, Zhouying Song, Mengmeng Zhang, Huaxiong Jiang

{"title":"Resident Participation in Flood Response: A Machine Learning and Agent-Based Simulation Study of Zhengzhou, China","authors":"Yuxiao Wang, Xinyue Han, Wei Ma, Zanmei Wei, Zhouying Song, Mengmeng Zhang, Huaxiong Jiang","doi":"10.1007/s12061-025-09680-4","DOIUrl":"10.1007/s12061-025-09680-4","url":null,"abstract":"<div><p>Predicting residents' participation in flood response is key to improving community resilience and emergency management. This study combines machine learning (ML) and agent-based modeling (ABM) to predict flood response behaviors in Zhengzhou, China, considering information asymmetry in emergency resource accessibility. First, the XGBoost models identified fire station and hospital proximity as key factors influencing residents' participation in flood response. However, while these resources were physically close, residents’ perceptions of accessibility were much lower, creating a gap between actual and perceived accessibility. This information asymmetry then formed the basis for the predictive ABM, which simulated how improving perception through outreach efforts would affect participation. Second, simulation results indicated that enhancing residents’ perception of emergency resources significantly increased participation, with high participation rising from 7.18% to 14.06%, medium participation increasing from 25.98% to 46.34%, and low participation decreasing from 66.84% to 39.6%. Importantly, the improvement in participation was uniform across the study area, highlighting the consistent effectiveness of this intervention across diverse urban contexts. This study’s integration of ML and ABM presents a significant methodological advancement, offering a robust framework for predictive modeling of disaster response participation. This novel approach is crucial in demonstrating that reducing information asymmetry concerning emergency resource accessibility effectively enhances community engagement in disaster management.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 3","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145166364","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

Digital economy and urban settlement intentions of rural-to-urban migrants in China: Empirical evidence from quasi-natural experiments 数字经济与中国农民工城市定居意愿：来自准自然实验的经验证据

IF 1.9 4区社会学

Applied Spatial Analysis and Policy Pub Date : 2025-06-12 DOI: 10.1007/s12061-025-09674-2

Haiyang Lu, Keya Zeng, Weiliang Hu

{"title":"Digital economy and urban settlement intentions of rural-to-urban migrants in China: Empirical evidence from quasi-natural experiments","authors":"Haiyang Lu, Keya Zeng, Weiliang Hu","doi":"10.1007/s12061-025-09674-2","DOIUrl":"10.1007/s12061-025-09674-2","url":null,"abstract":"<div><p>Although there has been a large body of studies examining the determinants of urban settlement intentions of rural-to-urban migrants, little attention has been concentrated on the role of technological advances, particularly digital technologies. Drawing on nationally representative data and employing a difference-in-differences (DID) method, we investigate the impact of China’s recent digital economy development on the urban settlement intentions of rural-to-urban migrants. We find that the development of the digital economy has a significant positive impact on the urban settlement intentions of rural-to-urban migrants. This result is robust to several sensitivity tests of the empirical specification. Heterogeneity analyses demonstrate that this positive effect is more pronounced for the new-generation and highly educated rural-to-urban migrants. Further analysis indicates that the mechanisms underlying the increased urban settlement intentions include the accumulated human capital, the improved quality of the environment and the relaxation of <i>hukou</i> qualifications.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145164855","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

Geovisualization and Spatial Modelling of Armed Conflicts in the Great Lake Region of Central and East Africa 中非和东非大湖区武装冲突的地理可视化和空间建模

IF 1.9 4区社会学

Applied Spatial Analysis and Policy Pub Date : 2025-06-11 DOI: 10.1007/s12061-025-09671-5

Silas Njoya Ngetar, Stanislas Rwandarugali, Pravin Singh

{"title":"Geovisualization and Spatial Modelling of Armed Conflicts in the Great Lake Region of Central and East Africa","authors":"Silas Njoya Ngetar, Stanislas Rwandarugali, Pravin Singh","doi":"10.1007/s12061-025-09671-5","DOIUrl":"10.1007/s12061-025-09671-5","url":null,"abstract":"<div><p>This paper explores a regional GIS-based approach to identifying, assessing, and geovisualizing the spatial distribution and patterns of armed conflicts in the Great Lakes Region (GLR) of Central and East Africa from 1998 to 2017. Geospatial analytical techniques, including geocoding, Average Nearest Neighbor (ANN) analysis, and hot spot analysis (Getis-Ord Gi*), were used to identify, map, and visualize conflict patterns, clusters, and hot spots, while kernel density estimation (KDE) analyzed conflict densities per square kilometre. The results reveal that armed conflict in the GLR was significantly clustered from 1998 to 2017, with a 99% confidence level (<i>p</i> < 0.01). The eastern Democratic Republic of the Congo (DRC), bordering Burundi, Rwanda, and Uganda, emerged as the most intense conflict hot spot at a 99% confidence level. These findings align with the KDE results, which also identified pockets of high conflict densities along these borders. The study further highlights the significant role of mineral resources in armed conflicts in the GLR. A chi-square test result (<i>p</i> < 0.005) indicates a statistically significant relationship between rebel locations and mineral resource distribution. Unlike previous geospatial studies that presented fragmented, country-specific analyses of armed conflicts in the GLR, this study adopts a holistic approach by mapping regional conflict hot spots, risk areas, densities, and related factors. This proposed methodology can assist peace-building initiatives, policymakers and stakeholders in better visualizing the spatial distribution of conflict variables, understanding their underlying causes, and developing effective strategies for mitigating and preventing further armed conflicts in the region and beyond.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12061-025-09671-5.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145164060","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

Regional Heterogeneities and Socio-economic Determinants of Childhood Undernutrition in India: A Geospatial Analysis 印度儿童营养不良的区域异质性和社会经济决定因素：地理空间分析

IF 1.9 4区社会学

Applied Spatial Analysis and Policy Pub Date : 2025-06-11 DOI: 10.1007/s12061-025-09670-6

Manabindra Barman, Jalandhar Pradhan

{"title":"Regional Heterogeneities and Socio-economic Determinants of Childhood Undernutrition in India: A Geospatial Analysis","authors":"Manabindra Barman, Jalandhar Pradhan","doi":"10.1007/s12061-025-09670-6","DOIUrl":"10.1007/s12061-025-09670-6","url":null,"abstract":"<div><p>Childhood undernutrition is the major public health concern in India, leading to anthropometric growth failures among children. The prevalence of childhood undernutrition varies significantly between demographic groups and geographies. The study looks at the relationship between the socioeconomic determinants and the geographical analysis of childhood undernutrition in India. Using NFHS-5 (2019–21) data of 152,244 children aged 6–59 months, the study employed multilevel binary logistic regression to analyse individual, household, and community-level factors. Advanced geospatial techniques, including Global Moran’s I, Anselin Local Moran’s I, and Bivariate Local Indicators of Spatial Association (BiLISA), were used to identify undernutrition hotspots and socioeconomic correlations. The findings of the study revealed that selected individual, household, and community-level factors were significantly associated with undernutrition. Moreover, spatial analyses showed the significant clustering of childhood undernutrition, with high prevalence in Bihar, Jharkhand, and Uttar Pradesh. Further, Global Moran’s I (0.41, <i>p</i> < 0.001) indicated non-random spatial patterns, while hotspot analyses highlighted concentrated undernutrition in socioeconomically marginalized districts. Bivariate LISA maps demonstrated spatial correlations between undernutrition and socio-economic factors. The study underscores the importance of integrating geospatial techniques and multilevel analyses to understand the regional disparities in childhood undernutrition. It emphasizes the need to strengthen ICDS, food fortification, sanitation, maternal health, and education initiatives in high-prevalence areas. These efforts are crucial to meet the SDG goal 2 for reducing inequalities and ensuring equitable child nutrition and health.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145164758","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

Spatiotemporal Analysis of Three-Wheeled Motorized Rickshaw Crashes in Rawalpindi 拉瓦尔品第三轮机动三轮车事故时空分析

IF 1.9 4区社会学

Applied Spatial Analysis and Policy Pub Date : 2025-06-11 DOI: 10.1007/s12061-025-09676-0

Abdul Moeed, Muhammad Asif Khan, Sameer Ud-Din, Muhammad Faisal Habib, Kamran Ahmed

{"title":"Spatiotemporal Analysis of Three-Wheeled Motorized Rickshaw Crashes in Rawalpindi","authors":"Abdul Moeed, Muhammad Asif Khan, Sameer Ud-Din, Muhammad Faisal Habib, Kamran Ahmed","doi":"10.1007/s12061-025-09676-0","DOIUrl":"10.1007/s12061-025-09676-0","url":null,"abstract":"<div><p>The three-wheeled motorized rickshaw (3-MR) is the dominant mode of transportation in developing countries, primarily for short trips with a passenger capacity of four to six and is also used for small-scale goods transport. 3-MRs are often linked to road traffic crashes, which create serious socioeconomic and public health challenges. While early research focused primarily on the safety of two- and four-wheeled vehicles, there has been limited investigation into the safety dynamics of 3-MR crashes. This study aims to identify crash hotspots using 3-MR crash data (January 2022 to April 2023) from Rawalpindi, Pakistan. The study uses advanced spatial analytic methods, including emerging hotspot analysis with a space–time cube spatial autocorrelation, which has recently gained popularity for incorporating the temporal dimension in spatial analysis. Incremental spatial autocorrelation was first used to determine the threshold distance, followed by Moran's <i>I</i> and Getis-Ord Gi* to reveal recurring hotspot patterns in 3-MR crashes. Further utilizing the emerging hotspot analysis technique, substantial spatiotemporal clustering is identified. Hotspots were found to be associated with major bus stops, commercial areas, intersections, hospitals, airports, and high-density residential areas. The findings of this study provide valuable insights for stakeholders to identify hotspot locations, supporting targeted policies to reduce 3-MR crashes and improve road safety, particularly in developing countries with similar transportation modes, such as Bangladesh, Pakistan, India, and Sri Lanka.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145164061","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

Modeling Spatial Accessibility of Healthcare Services for the Elderly Population with a SAM-G2SFCA Method: A Resource-Sharing Perspective 基于SAM-G2SFCA方法的老年人医疗卫生服务空间可达性建模：资源共享视角

IF 1.9 4区社会学

Applied Spatial Analysis and Policy Pub Date : 2025-06-11 DOI: 10.1007/s12061-025-09677-z

Zheng Gong, Chengzhi Zhang, Zhihui Song, Keying Peng, Feng Gao, Shaoli Li, Shaoying Li

{"title":"Modeling Spatial Accessibility of Healthcare Services for the Elderly Population with a SAM-G2SFCA Method: A Resource-Sharing Perspective","authors":"Zheng Gong, Chengzhi Zhang, Zhihui Song, Keying Peng, Feng Gao, Shaoli Li, Shaoying Li","doi":"10.1007/s12061-025-09677-z","DOIUrl":"10.1007/s12061-025-09677-z","url":null,"abstract":"<div><p>Accessibility of healthcare services is a paramount determinant of elderly health outcomes. However, existing research often neglects the effects of resource-sharing pressures among different demographic groups for healthcare resources when measuring the accessibility for elderly population. To bridge this gap, this study developed a Supply Allocation Model (SAM) that considers the interactions between the elderly and non-elderly populations, as well as the distribution of healthcare resources. The model was subsequently integrated with the G2SFCA method, utilizing demographic, mobile phone, and point of interest (POI) datasets to assess the spatial accessibility of healthcare services for the elderly population in Guangzhou, China. The model’s accuracy and reliability were tested through calibration and validation processes, utilizing real-world healthcare treatment datasets. The effectiveness of the SAM was measured through the computation of the healthcare accessibility index and the Gini coefficient, utilizing both the SAM-G2SFCA and G2SFCA models. The results show that the SAM achieves the highest prediction accuracy at a 15-minute threshold. As the time threshold decreases, the role of supply factors in predicting the proportion of healthcare utilization strengthens. Moreover, the SAM-G2SFCA leads to a reduction in the equity of accessibility across all time thresholds when compared to the G2SFCA method, particularly in peripheral urban areas where elderly populations face greater resource-sharing pressures and healthcare accessibility is often overestimated. These findings provide valuable insights for policy formulation and theoretical advancement, informing the design of more equitable and efficient healthcare resource allocation strategies.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145164757","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

Impact of Traffic Disruptions on Road Network Accessibility and Vulnerability in Inner Campania Areas 交通中断对内坎帕尼亚地区道路网络可达性和脆弱性的影响

IF 1.9 4区社会学

Applied Spatial Analysis and Policy Pub Date : 2025-06-11 DOI: 10.1007/s12061-025-09679-x

Tahseen Bashir, Angela Stefania Bergantino, Gianmarco Troiani, Gaetano Falcone, Anna d‘Onofrio, Francesca Pagliara

{"title":"Impact of Traffic Disruptions on Road Network Accessibility and Vulnerability in Inner Campania Areas","authors":"Tahseen Bashir, Angela Stefania Bergantino, Gianmarco Troiani, Gaetano Falcone, Anna d‘Onofrio, Francesca Pagliara","doi":"10.1007/s12061-025-09679-x","DOIUrl":"10.1007/s12061-025-09679-x","url":null,"abstract":"<div><p>Reliable road-network performance is important for socio‐economic development and emergency response. This paper investigates road network vulnerability by assessing traffic disruptions on mobility in the Piana del Sele and Irpinia, two inner regions of Campania (Italy). Different scenarios of traffic disruptions were simulated using the PTV-Visum software. With the use of an accessibility indicator and a link importance index, the network’s weaknesses and strategic routes were identified. The most critical scenario for the Piana del Sele involves the closure of the “Barrizzo” bridge on the SS18, resulting in an average accessibility reduction of 2.22%, affecting 27 homogeneous traffic zones. In Irpinia, the worst scenario is the closure of the tunnel along the A16 motorway in the municipality of Montemiletto, with an average accessibility reduction of 2.42%. Stakeholders, such as municipal administrators and transportation agencies, who must manage emergencies by suggesting evacuation plans or scheduling infrastructure maintenance interventions, can benefit from using this study as a useful decision-making tool.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12061-025-09679-x.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145164759","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