Applied Spatial Analysis and Policy最新文献_第10页

Safer Traffic Recovery from the Pandemic in London – Spatiotemporal Data Mining of Car Crashes 从伦敦疫情中更安全地恢复交通——车祸的时空数据挖掘

IF 2 4区社会学

Applied Spatial Analysis and Policy Pub Date : 2023-08-02 DOI: 10.1007/s12061-023-09533-y

Kejiang Qian, Yijing Li

{"title":"Safer Traffic Recovery from the Pandemic in London – Spatiotemporal Data Mining of Car Crashes","authors":"Kejiang Qian, Yijing Li","doi":"10.1007/s12061-023-09533-y","DOIUrl":"10.1007/s12061-023-09533-y","url":null,"abstract":"<div><p>In the aim to provide evidence for deployment policies towards post-pandemic safer recovery from COVID-19, this study investigated the spatiotemporal patterns of age-involved car crashes and affecting factors, upon answering two main research questions: (1) “What are spatiotemporal patterns of car crashes and any observed changes in two years, 2019 and 2020, in London, and waht were the influential factors for these crashes?”; (2) “What are spatiotemporal patterns of casualty by age, and how do people’s daily activities affect the patterns pre- and during the pandemic”? Three approaches, spatial analysis (network Kernel Density Estimation, NetKDE), factor analysis, and spatiotemporal data mining (tensor decomposition), had been implemented to identify the temporal patterns of car crashes, detect hot spots, and to understand the effect on citizens’ daily activity on crash patterns pre- and during the pandemic. It had been found from the study that car crashes mainly clustered in the central part of London, especially busier areas around denser hubs of point-of-interest (POIs); the POIs, as an indicator for citizens’ daily activities and travel behaviours, can be of help to analyze their relationships with crash patterns, upon further assessment on interactions through the geographical detector; the casualty patterns varied by age group, with distinctive relationships between POIs and crash pattern for corresponding age group categorised. In all, the paper introduced new approaches for an in-depth analysis of car crashes and their casualty patterns in London to support London’s safer recovery from the pandemic by improving road safety.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"17 1","pages":"87 - 113"},"PeriodicalIF":2.0,"publicationDate":"2023-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12061-023-09533-y.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44894434","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

Spatiotemporal Pattern of Vulnerability to Climate Change in Madhya Pradesh, India 印度中央邦气候变化脆弱性的时空格局

IF 2 4区社会学

Applied Spatial Analysis and Policy Pub Date : 2023-08-01 DOI: 10.1007/s12061-023-09535-w

Alinda George, Pritee Sharma, Kalandi Charan Pradhan

{"title":"Spatiotemporal Pattern of Vulnerability to Climate Change in Madhya Pradesh, India","authors":"Alinda George, Pritee Sharma, Kalandi Charan Pradhan","doi":"10.1007/s12061-023-09535-w","DOIUrl":"10.1007/s12061-023-09535-w","url":null,"abstract":"<div><p>Climate change and its associated impacts are more severely felt in Madhya Pradesh than in other Indian states, mainly because of acute poverty and social vulnerability in the state. This paper attempts to assess inter-spatial and inter-temporal vulnerability to climate change using a Climate Vulnerability Index, an aggregate of the Climate Index and the Composite Social Vulnerability Index. The Climate Index represents the exposure to climate change, and the social vulnerability represented by the Composite Social Vulnerability Index consists of two subindices: Socioeconomic Vulnerability Index and Infrastructural Vulnerability Index. The indices are computed using Principal Component Analysis for three rounds of census data (1991, 2001, and 2011). The study found a significant decrease in composite social vulnerability and subindices over the decades. At the same time, the Climate Index shows a significant increase over the decades, leading to a nonsignificant increase in climate vulnerability in the recent decade. The study advocates for targeted interventions to reduce social vulnerability further to cope with the increasing exposure to climate change; hence, overall vulnerability can be reduced. Targeted interventions for livelihood diversification, education, inclusive growth, and infrastructural facilities in tribal-dominated districts will be crucial, given the likelihood of climatic variation in the future.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"17 1","pages":"55 - 85"},"PeriodicalIF":2.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48579757","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 Urban Form Change in Developing Africa: The Case of Addis Ababa City 发展中非洲城市形态变化的时空分析——以亚的斯亚贝巴市为例

IF 1.9 4区社会学

Applied Spatial Analysis and Policy Pub Date : 2023-07-26 DOI: 10.1007/s12061-023-09524-z

Mengistie Bewketu Mamaru, Wenzhong Shi, Man Sing Wong

引用次数: 0

Urban Structure, Housing Prices and the Double Role of Amenity: A Study of Nanjing, China 城市结构、房价与舒适性的双重作用——以南京市为例

IF 2 4区社会学

Applied Spatial Analysis and Policy Pub Date : 2023-07-26 DOI: 10.1007/s12061-023-09536-9

Meitong Liu, Yehua Dennis Wei, Yangyi Wu

{"title":"Urban Structure, Housing Prices and the Double Role of Amenity: A Study of Nanjing, China","authors":"Meitong Liu, Yehua Dennis Wei, Yangyi Wu","doi":"10.1007/s12061-023-09536-9","DOIUrl":"10.1007/s12061-023-09536-9","url":null,"abstract":"<div><p>The skyrocketing housing prices in Chinese metropolises have generated broad concerns. Recent studies have moved beyond hedonic approaches considering housing attributes, location, and neighborhood by introducing urban structure and amenities as factors in housing prices. However, the role of amenities is often simplified, and the influence of urban structure is explored mainly using distance to CBD or concentric rings. This study more carefully examines the role of amenities in determining housing prices through a case study of Nanjing, China, adopting the self-organizing map and spatial regime modeling using remote sensing and point-of-interest data. We find that the regime of urban structure sways the hedonic factors' significance and positivity. Amenities play a double role in housing markets, as they act both as a determinant of housing price and an indicator of urban structure. Our study provides an improved framework of housing prices, which is applicable to studies of other cities. It also suggests that public policies should consider amenities more carefully to make cities more polycentric and livable.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"17 1","pages":"27 - 53"},"PeriodicalIF":2.0,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47631117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Identification of Industrial Clusters and their Spatial Characteristics Based on Natural Semantics 基于自然语义的产业集群及其空间特征识别

IF 2 4区社会学

Applied Spatial Analysis and Policy Pub Date : 2023-07-26 DOI: 10.1007/s12061-023-09528-9

Youwei Tan, Zhihui Gu, Yu Chen, Jiayun Li

{"title":"The Identification of Industrial Clusters and their Spatial Characteristics Based on Natural Semantics","authors":"Youwei Tan, Zhihui Gu, Yu Chen, Jiayun Li","doi":"10.1007/s12061-023-09528-9","DOIUrl":"10.1007/s12061-023-09528-9","url":null,"abstract":"<div><p>Cluster identification based on input–output tables has long been limited in its effectiveness due to slow updates and issues of mutual exclusion. This study presents a novel method that leverages enterprise big data and semantic similarity to identify industrial clusters. Using the electronic information industry cluster in the Pearl River Delta (PRD) as an empirical example, we demonstrate the efficacy of our approach. Our analysis reveals that the PRD's electronic-information industry cluster comprises 27 industries, aligning closely with the results obtained from the input–output table calculations. Building on this cluster identification, our study further investigates the industrial association and spatial collaborative distribution characteristics among cluster enterprises. This study proposes a method to rapidly identify industrial clusters, and quantitatively evaluate industrial linkages and the spatial coordination of industrial clusters from the perspective of individual enterprises. The proposed method has significant implications for urban planners and policy makers in terms of helping them understand the context, relationship, and spatial synergy of industrial clusters.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"17 1","pages":"1 - 25"},"PeriodicalIF":2.0,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41701475","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

Association between the Spatial Spread of COVID-19 and the First Withdrawal of Pension Savings in Chile * COVID-19的空间传播与智利养老金储蓄首次提取之间的关系*

IF 1.9 4区社会学

Applied Spatial Analysis and Policy Pub Date : 2023-07-24 DOI: 10.1007/s12061-023-09537-8

Catalina Barraza, Laura Moraga, Victor Iturra

引用次数: 0

Spatial Modeling: an Approach for Estimating the Effect of Industrial Emissions on the Atmospheric Carbon Dioxide 空间模拟:一种估算工业排放对大气二氧化碳影响的方法

IF 1.9 4区社会学

Applied Spatial Analysis and Policy Pub Date : 2023-07-22 DOI: 10.1007/s12061-023-09532-z

Muhammad Salaha Uddin, Neil Reid

{"title":"Spatial Modeling: an Approach for Estimating the Effect of Industrial Emissions on the Atmospheric Carbon Dioxide","authors":"Muhammad Salaha Uddin, Neil Reid","doi":"10.1007/s12061-023-09532-z","DOIUrl":"10.1007/s12061-023-09532-z","url":null,"abstract":"<div><p>Sectoral emissions of carbon dioxide and their spatial distribution are explored in carbon monitoring and reporting. However, emissions are not observed and are usually estimated from repurposed data. Due to the uncertainties in the estimated emissions and predicted atmospheric concentrations, scientific doubts are rarely avoidable. Therefore, it is vital to know the effects of emissions on the observable atmospheric phenomenon. Methodologically, this paper presents the spatial modeling approach to estimate and spatially represent the annual industrial emissions’ effects on the observed atmospheric phenomenon of column-averaged carbon dioxide (XCO<sub>2</sub>). This study explores the spatial variation of XCO<sub>2</sub> with the annual industrial emissions at the county level across the contiguous USA (CONUS) by processing the Orbiting Carbon Observatory-2 (OCO-2) satellite-based observed database of XCO<sub>2</sub>. The study finds that in 2017, on average, the level of XCO<sub>2</sub> increased by 0.067 ppm due to the 2634.92 Million Tonnes (MTonnes) of industrial emissions (industrial process and electricity generation) in the CONUS. On average, the direct effect of industrial emissions was 0.026 ppm. Finally, the paper presents the effect map of industrial emissions at the county level of the CONUS. This effect estimation approach ensures industrial emissions’ geographic visualization regarding the observed atmospheric phenomenon rather than unobserved emission amounts. The sectoral emission’s effect analysis with the atmospheric phenomenon of XCO<sub>2</sub> at the subnational level helps to explore the required sectoral emission reduction amounts with the globally referenced atmospheric concentration target.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"16 4","pages":"1729 - 1754"},"PeriodicalIF":1.9,"publicationDate":"2023-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44147449","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

Investigating the Determinants of Housing Rents in Hangzhou, China: A Spatial Multilevel Model Approach 杭州住房租金影响因素的空间多层次模型研究

IF 1.9 4区社会学

Applied Spatial Analysis and Policy Pub Date : 2023-07-21 DOI: 10.1007/s12061-023-09530-1

Dongsheng Zhan, Chunxin Xie, Juanfeng Zhang, Bin Meng

{"title":"Investigating the Determinants of Housing Rents in Hangzhou, China: A Spatial Multilevel Model Approach","authors":"Dongsheng Zhan, Chunxin Xie, Juanfeng Zhang, Bin Meng","doi":"10.1007/s12061-023-09530-1","DOIUrl":"10.1007/s12061-023-09530-1","url":null,"abstract":"<div><p>Accelerating the cultivation and development of the residential rental property (hereafter, rental property) market is an indispensable part of improving China’s housing market system, and the rationality of rental prices has become the focus of social attention in this development process. Drawing on geospatial big data, such as rental data collected from 5i5j and Points of Interest (POI) facilities in Hangzhou, this paper examines spatial distribution characteristics of rental property and associated rents in Hangzhou using GIS spatial analysis and employs a spatial multilevel model to investigate the determinants of such rents. The results indicate that the spatial distribution and kernel density distribution of rental property and associated rents in Hangzhou are alike, being characterized by a similar center-edge structure. Furthermore, considering the positive spatial autocorrelation of rents in Hangzhou, three spatial proxy variables are filtered out through eigenvector spatial filtering analysis to reduce the spatial autocorrelation problem. In addition, the spatial multilevel model witnesses the best goodness-of-fit when compared with the traditional ordinary last squares (OLS) and multilevel models. The results of the spatial multilevel model show that residential rents in Hangzhou are affected by both individual-level and street-level factors. At the individual level, building characteristics such as house area, number of bedrooms, decoration grade, story, and age are the major determinants. At the street level, distance to cultural and sports facilities is negatively associated with rents, while distance to bus stations, 3A hospitals (three first-class hospitals), and commercial complexes is positively associated with them. Comparing the impact intensity of various distance variables, distance to city center and public transit has the largest impact on rents in Hangzhou, followed by distance to educational, medical, and living facilities.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"16 4","pages":"1707 - 1727"},"PeriodicalIF":1.9,"publicationDate":"2023-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47065672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Spatial Patterns and Health-Based Characterization of the Retail Food Environment in Mexico City 墨西哥城零售食品环境的空间格局和基于健康的特征

IF 1.9 4区社会学

Applied Spatial Analysis and Policy Pub Date : 2023-07-21 DOI: 10.1007/s12061-023-09521-2

Ana G. Ortega-Avila

{"title":"Spatial Patterns and Health-Based Characterization of the Retail Food Environment in Mexico City","authors":"Ana G. Ortega-Avila","doi":"10.1007/s12061-023-09521-2","DOIUrl":"10.1007/s12061-023-09521-2","url":null,"abstract":"<div><p>The public health burden of obesity and non-communicable diseases in Mexico is one of the highest in the world, and one of its main causes is the change in diet of the population. The urban food environment has been suggested as a key contributor towards the increasing deterioration in diets. Our objective was to present the first spatial and health characterization of the food environment of Mexico City. The data source was the National Statistics Directory of Economic Units 2020, which provides data on the urban supply of food and beverages. Food outlets were classified into 14 types according to the food items that are mainly sold. Local spatial autocorrelation methods were used to assess the existence of spatial patterns. The results suggest all types of food outlet showed high- density clusters and low -density clusters, with the geographic location of these clusters varying based on the type of establishment and by socioeconomic status of the census tracts. This paper puts forward a health-based classification of food retail outlets, to identify the spatial distribution of food outlets in relation to nutrition and health. This could guide researchers and policymakers towards improvements, particularly to direct interventions towards specific areas of the city.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"16 4","pages":"1683 - 1705"},"PeriodicalIF":1.9,"publicationDate":"2023-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12061-023-09521-2.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43929668","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

A National Analysis of the Spatial Patterns and Correlates of Evictions in the United States 美国驱逐行为的空间格局和相关性的全国性分析

IF 1.9 4区社会学

Applied Spatial Analysis and Policy Pub Date : 2023-07-20 DOI: 10.1007/s12061-023-09534-x

Lindsey Connors, Charlie H. Zhang

引用次数: 0