Applied Geography最新文献

Methamphetamine spread in the Seoul metropolitan area: Geographical random forest modeling approach 甲基苯丙胺在首尔首都圈的传播：地理随机森林建模方法

IF 4 2区地球科学

Applied Geography Pub Date : 2024-11-16 DOI: 10.1016/j.apgeog.2024.103470

Changmin Im, Youngho Kim

{"title":"Methamphetamine spread in the Seoul metropolitan area: Geographical random forest modeling approach","authors":"Changmin Im, Youngho Kim","doi":"10.1016/j.apgeog.2024.103470","DOIUrl":"10.1016/j.apgeog.2024.103470","url":null,"abstract":"<div><div>Methamphetamine is destroying the world. One of the most harmful drugs, methamphetamine leads to both physical and psychological health problems, and further deaths. The impact of methamphetamine extends beyond individual users and harms the community. Recently, the COVID-19 pandemic has intensified spatial heterogeneity of methamphetamine use. Such spatial heterogeneity highlights the need for locally tailored interventions. Therefore, modeling that accounts for spatial heterogeneity is essential for studying methamphetamine use. This study investigates methamphetamine use from 2010 to 2020 in the Seoul metropolitan area. The geographical random forest (GRF) applied in this study accounts for the spatial heterogeneity of methamphetamine, and the Getis-Ord hotspot analysis tracks the changes of methamphetamine hotpots at a given time. GRF results show that crime is the most significant global factor in methamphetamine use, especially rape and assault. However, primary local factors differ by region: single households in Seoul, financial independence in Gyeonggi-do, and foreign populations in Incheon. Hotspot results show Gangnam-gu in Seoul and Jung-gu in Incheon as major hotspots for methamphetamine. These areas were related to nightlife and international transport hubs, respectively.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"174 ","pages":"Article 103470"},"PeriodicalIF":4.0,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142655402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Uncovering the similarity and heterogeneity of metro stations: From passenger mobility, land use, and streetscapes semantics 揭示地铁站的相似性和异质性：从乘客流动性、土地使用和街道景观语义出发

IF 4 2区地球科学

Applied Geography Pub Date : 2024-11-06 DOI: 10.1016/j.apgeog.2024.103450

Shihai Dong , Yandong Wang , Mingxuan Dou , Chao Wang , Jianya Gong

{"title":"Uncovering the similarity and heterogeneity of metro stations: From passenger mobility, land use, and streetscapes semantics","authors":"Shihai Dong , Yandong Wang , Mingxuan Dou , Chao Wang , Jianya Gong","doi":"10.1016/j.apgeog.2024.103450","DOIUrl":"10.1016/j.apgeog.2024.103450","url":null,"abstract":"<div><div>Understanding the spatial and functional characteristics of metro stations in terms of passenger mobility and built environment is imperative for the transportation system development. This study integrates streetscape visual semantics with traditional mobility and land use factors to provide a multi-dimensional characterization of metro stations. By developing a novel semantic analysis framework, this study identifies distinct clusters of Shanghai Metro stations that share similar characteristics in mobility, location, and visual semantics. The results reveals a strong alignment in the similarity among passenger mobility, land use, and streetscapes. Metro stations in the commercial and entertainment zones of the urban center exhibit a high degree of visual enclosure, activity, and diversity, maintaining high ridership throughout the day. In contrast, residential-oriented stations in suburban transfer hubs display clear commuting patterns and more balanced visual characteristics. Furthermore, our findings highlight “partially similar stations”, which, despite exhibiting similar mobility patterns, reflect heterogeneous land use configurations and streetscapes owing to variations in urban structure and development. These findings contribute to a deeper understanding of the spatial dynamics of metro stations and offer valuable implications for urban planning and metro management.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"174 ","pages":"Article 103450"},"PeriodicalIF":4.0,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142655401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Spatio-temporal heterogeneity and influencing factors in the synergistic enhancement of urban ecological resilience: Evidence from the Yellow River Basin of China 协同增强城市生态复原力的时空异质性及其影响因素：来自中国黄河流域的证据

IF 4 2区地球科学

Applied Geography Pub Date : 2024-11-05 DOI: 10.1016/j.apgeog.2024.103459

Zhiheng Yang , Xuehua Cui , Yanling Dong , Jiawei Guan , Jing Wang , Zenglei Xi , Chenxi Li

{"title":"Spatio-temporal heterogeneity and influencing factors in the synergistic enhancement of urban ecological resilience: Evidence from the Yellow River Basin of China","authors":"Zhiheng Yang , Xuehua Cui , Yanling Dong , Jiawei Guan , Jing Wang , Zenglei Xi , Chenxi Li","doi":"10.1016/j.apgeog.2024.103459","DOIUrl":"10.1016/j.apgeog.2024.103459","url":null,"abstract":"<div><div>Urban ecological resilience (UER) reflects the ability of cities to adapt to environmental changes and cope with natural disasters. Further, UER is an important perspective for understanding human–land relations in the Yellow River Basin (YRB). We constructed a novel system of UER evaluation indicators from the perspective of synergistic enhancement, with 99 cities in the YRB as objects for the research conducted from 2011 to 2021. The spatiotemporal heterogeneity and network pattern of UER were measured using the Theil index and modified gravity model. The factors influencing UER in the YRB were analysed using a multiscale geographically weighted regression model. The results show that (1) regarding time-series analysis, the UER in the YRB shows a fluctuating upward trend from 20.89 in 2011 to 26.23 in 2021, with the contribution of ecological image being the largest. The UER at different reaches, urban agglomerations, and cities varied considerably. (2) Regarding spatial analysis, the UER has a ‘center-periphery’ spatial distribution pattern dominated by provincial capital cities. The spatial network shows a '几'-shaped distribution pattern similar to the YRB mainstream distribution. Regarding UER connectivity, the ability for cross-regional joint development has improved. (3) The main influencing factors were urbanisation rate, education level, Normalized Difference Vegetation Index, and upgrading of the industrial structure, which represent urban development progress and geographical ecological characteristics. This study expands UER measurement and provides a basis and reference for synergistic enhancement of UER in the YRB.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"173 ","pages":"Article 103459"},"PeriodicalIF":4.0,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142587303","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multiple local co-agglomeration: Modelling spatial-temporal variations of coworking spaces and creative industries clustering in two central European Capitals 多重地方聚集：欧洲中部两个首都的协同工作空间和创意产业集群的时空变化建模

IF 4 2区地球科学

Applied Geography Pub Date : 2024-11-04 DOI: 10.1016/j.apgeog.2024.103456

Pavel Bednář , Grzegorz Micek , Lukáš Danko

{"title":"Multiple local co-agglomeration: Modelling spatial-temporal variations of coworking spaces and creative industries clustering in two central European Capitals","authors":"Pavel Bednář , Grzegorz Micek , Lukáš Danko","doi":"10.1016/j.apgeog.2024.103456","DOIUrl":"10.1016/j.apgeog.2024.103456","url":null,"abstract":"<div><div>Economies of agglomeration play a crucial role in the creation of innovation in regional innovation systems. In the last decade, coworking spaces have become an organisational innovation of the sharing economy in these systems. Therefore, research on spatial co-agglomeration between coworking spaces and service industries is rising, identifying creative industries as the most significant services for colocation with coworking spaces. Previous studies on spatial association between coworking spaces and service industries have focused on the global distance measurement of their co-agglomeration. Hence, the paper provides insight into the extension of the research by comparing two cross-sectional datasets at different times by locally measured multiple colocations between coworking spaces and the selected creative industries in Prague and Warsaw. The present study is expected to contribute to understanding the spatial association in the long-term trajectories of coworking spaces with creative industries. The results underline the importance of the usage of local colocation quotients in space-time perspective for the detection of spatial association between coworking spaces and creative industries for determining trajectories of their spatial interactions, which resulted in both intensification and spatial diffusion of CBD functions in the adjacent inner city and along urban arterial roads supporting the polycentric metropolis model.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"173 ","pages":"Article 103456"},"PeriodicalIF":4.0,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142587261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Pathways mediating neighborhood green spaces on emotions of populations with different mental health in Nanjing, China 中国南京社区绿地对不同心理健康人群情绪的影响途径

IF 4 2区地球科学

Applied Geography Pub Date : 2024-11-02 DOI: 10.1016/j.apgeog.2024.103457

Rui Ma, Min Zhang

引用次数: 0

Unveiling the spatially varied nonlinear effects of urban built environment on housing prices using an interpretable ensemble learning model 利用可解释的集合学习模型揭示城市建筑环境对房价的空间非线性影响

IF 4 2区地球科学

Applied Geography Pub Date : 2024-10-31 DOI: 10.1016/j.apgeog.2024.103458

Xiaochang Liu , Renlu Qiao , Zhiqiang Wu , Tianren Yang , Xiuning Zhang , Xueliang Zhang , Zhiliang Zhu

{"title":"Unveiling the spatially varied nonlinear effects of urban built environment on housing prices using an interpretable ensemble learning model","authors":"Xiaochang Liu , Renlu Qiao , Zhiqiang Wu , Tianren Yang , Xiuning Zhang , Xueliang Zhang , Zhiliang Zhu","doi":"10.1016/j.apgeog.2024.103458","DOIUrl":"10.1016/j.apgeog.2024.103458","url":null,"abstract":"<div><div>The relationship between urban built environment (UBE) and housing prices manifests as complex, exhibiting significant nonlinearities and spatial heterogeneity that remain inadequately understood. Taking Shanghai as a testbed, this study employs a novel ensemble learning approach, augmented by Bayesian optimization and Monte Carlo simulation, to decipher the intricate and nonlinear impacts of UBE factors on housing markets across diverse urban geographies. Our analysis unveils substantial spatial variations in how transit accessibility, amenities, residential density, and green/blue spaces influence real estate values. Proximity to metro stations and bike-sharing facilities exerts a more pronounced positive effect than bus stops. Moreover, residents in central areas demonstrate a higher willingness-to-pay for public service amenities, while those in outer suburbs prioritize access to public transportation infrastructure. Intriguingly, it invokes an optimal threshold range of urban density for properties in new cities, thereby increasing the vitality and dense socio-economic networks. Furthermore, the sprawling suburbs have identified an adverse economic impact of large conservation green/blue spaces. These insights can guide policymakers in crafting spatially-tailored strategies that harness localized built environment drivers to catalyse equitable and prosperous urban development. Tailored policies informed by this spatially explicit understanding of nonlinear built environment-housing interactions can foster more sustainable, liveable, and inclusive cities.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"173 ","pages":"Article 103458"},"PeriodicalIF":4.0,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142552434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The emergence of Industry 4.0 technologies across Chinese cities: The roles of technological relatedness/cross-relatedness and industrial policy 工业 4.0 技术在中国各城市的兴起：技术关联性/交叉关联性和产业政策的作用

IF 4 2区地球科学

Applied Geography Pub Date : 2024-10-30 DOI: 10.1016/j.apgeog.2024.103455

Xiaozhen Qin , Eddie Chi-Man Hui , Jianfu Shen

{"title":"The emergence of Industry 4.0 technologies across Chinese cities: The roles of technological relatedness/cross-relatedness and industrial policy","authors":"Xiaozhen Qin , Eddie Chi-Man Hui , Jianfu Shen","doi":"10.1016/j.apgeog.2024.103455","DOIUrl":"10.1016/j.apgeog.2024.103455","url":null,"abstract":"<div><div>Industry 4.0 technologies have emerged as a focal point of regional technological competition in the Fourth Industrial Revolution. However, research on the emergence and determinants of innovation in Industry 4.0 technologies remains limited, especially in developing countries. Using Chinese patent data from 2001 to 2020, this study identifies the emergence of Industry 4.0 technologies across Chinese cities and explores the driving roles of relatedness/cross-relatedness and industrial policy in this process. Our findings indicate that relatedness/cross-relatedness between new technologies and Industry 4.0, Industry 3.0, and other technologies significantly increase the probability of a city developing a new specialization in Industry 4.0 technologies. The positive impact of relatedness within Industry 4.0 technologies indicates a self-reinforcing characteristic in their development. Furthermore, cross-relatedness between Industry 4.0 and Industry 3.0 technologies only promotes the specialization in Industry 4.0 technologies related to Industry 3.0 and benefits cities with a substantial Industry 3.0 foundation. Industrial policy also plays a crucial role, directly fostering specialization in Industry 4.0 technologies and indirectly enhancing the effects of relatedness/cross-relatedness. This study offers valuable policy insights for developing regional strategies to foster innovation in Industry 4.0 technologies.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"173 ","pages":"Article 103455"},"PeriodicalIF":4.0,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142552433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A multi-scale user-friendliness evaluation approach on cycling network utilizing multi-source data 利用多源数据对自行车网络进行多尺度用户友好度评估的方法

IF 4 2区地球科学

Applied Geography Pub Date : 2024-10-28 DOI: 10.1016/j.apgeog.2024.103454

Xiaoyang Deng , Zilong Zhao , Luliang Tang , Hong Yang , Yi Yu , Guineng Liao

{"title":"A multi-scale user-friendliness evaluation approach on cycling network utilizing multi-source data","authors":"Xiaoyang Deng , Zilong Zhao , Luliang Tang , Hong Yang , Yi Yu , Guineng Liao","doi":"10.1016/j.apgeog.2024.103454","DOIUrl":"10.1016/j.apgeog.2024.103454","url":null,"abstract":"<div><div>Cycling is a promising solution to transportation decarbonization and urban sustainability. To enhance the cycling environment, it's essential to assess the user-friendliness of cycling networks. Existing related studies lack large-scale quantitative assessments and typically focus on segments, which are cost-ineffective for extensive spatial coverage and disregard the comprehensive impact of the cycling network system. Therefore, we propose a multi-scale user-friendliness evaluation approach for cycling networks utilizing multi-source geospatial data. First, we construct the cycling network using bike-sharing trajectory data. Then, to assess the user-friendliness of <strong>individual cycling segments as transportation spaces</strong>, we derive and evaluate six fine-grained quantitative indicators of bike lanes (separation, shade, width, pavement, slope undulation, and connectivity) from streetview images, DEM, and the aforementioned cycling topological network. Thirdly, <strong>cycling communities, representing inhabitants' daily living spaces,</strong> are detected based on trajectory density that informs cycling patterns, and their user-friendliness is evaluated by combining the performance of cycling segments with the spatial distribution of POI facilities within each community. An empirical study in Xiamen, China demonstrates the effectiveness of the proposed method in pinpointing specific indicators at particular segments/underdeveloped communities, thus guiding investment and optimization of cycling infrastructure to promote greater adoption of cycling as a mode of transportation.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"173 ","pages":"Article 103454"},"PeriodicalIF":4.0,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142535778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Uncovering travel communities among older and younger adults using smart card data 利用智能卡数据发现老年人和年轻人的旅行群体

IF 4 2区地球科学

Applied Geography Pub Date : 2024-10-28 DOI: 10.1016/j.apgeog.2024.103453

Jiaomin Wei , Zihan Kan , Mei-Po Kwan , Dong Liu , Lixian Su , Yanyan Chen

{"title":"Uncovering travel communities among older and younger adults using smart card data","authors":"Jiaomin Wei , Zihan Kan , Mei-Po Kwan , Dong Liu , Lixian Su , Yanyan Chen","doi":"10.1016/j.apgeog.2024.103453","DOIUrl":"10.1016/j.apgeog.2024.103453","url":null,"abstract":"<div><div>Individual movements within transport networks create activity spaces that shape travel communities. However, few studies have examined the spatial structures within bus travel and the associated factors across different geographic areas, which may overlook the underlying travel patterns and characteristics within these communities. Taking one-month bus smart card data in Beijing, China as a case study, we first build spatial interaction networks for older and younger adults, and conduct analysis on various network measures. Then we detect travel communities using Leiden algorithm and further investigate the determinants for bus flows across different communities based on Poisson regression models. The findings indicate that older adults have a shorter peak interval, more localized activity spaces, lower network connectivity, and weaker interaction strength, suggesting limited mobility in bus travel compared to younger adults. The study highlights that travel duration and land use mix are important predictors for both groups regardless of geographic areas, and there are also differences in the factors influencing bus travel across various regional communities. The results of this study could better portray the mobility patterns, travel networks, activity structures, and determinants impacting bus travel flows among older and younger adults, thereby providing nuanced and efficient strategic support for urban transportation development.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"173 ","pages":"Article 103453"},"PeriodicalIF":4.0,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142535779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The proposal of a 15-minute city composite index through integrating GPS trajectory data-inferred urban function attraction based on the Bayesian framework 基于贝叶斯框架，通过整合 GPS 轨迹数据推断的城市功能吸引力，提出 15 分钟城市综合指数的建议

IF 4 2区地球科学

Applied Geography Pub Date : 2024-10-25 DOI: 10.1016/j.apgeog.2024.103451

Dong Liu , Zihan Kan , Jinhyung Lee

{"title":"The proposal of a 15-minute city composite index through integrating GPS trajectory data-inferred urban function attraction based on the Bayesian framework","authors":"Dong Liu , Zihan Kan , Jinhyung Lee","doi":"10.1016/j.apgeog.2024.103451","DOIUrl":"10.1016/j.apgeog.2024.103451","url":null,"abstract":"<div><div>The chrono-urbanism framework suggests that urban life quality decreases with increased time spent in transportation, particularly motorized modes. The 15-min city concept, aligned with chrono-urbanism, emphasizes the importance of reaching essential urban functions within a short active travel time and has gained global attention. This study aims to develop a 15-min city composite index score (CIS) using the chrono-urbanism framework. The CIS integrates spatial accessibility to six key urban functions, providing a holistic assessment of the 15-min city status in Wuhan, China. Urban function accessibility is computed based on visitor volume inferred from GPS trajectory data using the Bayesian framework. Results reveal CIS hotspots in Hongshan, Wuchang, Jiangan, and Qingshan districts, with Hongshan having the highest concentration. However, Wuhan faces challenges in achieving comprehensive 15-min city status, as hotspots are mainly concentrated in specific areas like university towns and traditional city centers. The proposed assessment approach is applicable to accurately evaluate the 15-min status in other urban contexts using GPS trajectory data. The study's findings can assist policymakers in understanding CIS hotspot distribution and developing future planning policies to enhance the overall 15-min city status.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"173 ","pages":"Article 103451"},"PeriodicalIF":4.0,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142535777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0