Computational urban science最新文献_第2页

Urban upgrading of slums: Baghdad and London slums as study models for urban rehabilitation 贫民窟的城市升级:巴格达和伦敦贫民窟作为城市改造的研究模型

Computational urban science Pub Date : 2023-09-26 DOI: 10.1007/s43762-023-00106-w

Ali Dhafer Abed

{"title":"Urban upgrading of slums: Baghdad and London slums as study models for urban rehabilitation","authors":"Ali Dhafer Abed","doi":"10.1007/s43762-023-00106-w","DOIUrl":"https://doi.org/10.1007/s43762-023-00106-w","url":null,"abstract":"Abstract This phenomenon of slums represents one of the most serious problems that Iraqi cities suffer from, especially the city of Baghdad, which has become teeming with a lot of slum buildings that have distorted most of its areas and neighborhoods. Most of the slums are in the form of scattered construction and chaotic gatherings that do not follow any planning standards. This paper aims to present and analyze the mechanisms of urban upgrading of two models of slums in the city of Baghdad and London. The treatment was through the urban development of these slums and the provision and improvement of services to reduce the phenomenon of total removal. The GIS program was used to calculate the urban variables and requirements, the optimal locations for services, and the total and partial removal percentages. The research achieved the lowest percentage of total and partial removal of the actual areas, which amounted to 7.31% in the first model and 14.26% in the second model. The slum area was also provided with all the necessary services in accordance with the urban housing standards specific to each city, to turn it into a residential neighborhood instead of calling it a slum region.","PeriodicalId":72667,"journal":{"name":"Computational urban science","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134958602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A machine learning approach for predicting hurricane evacuee destination location using smartphone location data 一种利用智能手机位置数据预测飓风撤离者目的地位置的机器学习方法

Computational urban science Pub Date : 2023-09-14 DOI: 10.1007/s43762-023-00102-0

Prosper K. Anyidoho, Xinglong Ju, Rachel A. Davidson, Linda K. Nozick

引用次数: 0

Online and in-store shopping interactions for non-essential experience goods 非必需体验品的线上与店内购物互动

Computational urban science Pub Date : 2023-09-13 DOI: 10.1007/s43762-023-00105-x

Ibukun Titiloye, Md Al Adib Sarker, Hamidreza Asgari, Xia Jin

{"title":"Online and in-store shopping interactions for non-essential experience goods","authors":"Ibukun Titiloye, Md Al Adib Sarker, Hamidreza Asgari, Xia Jin","doi":"10.1007/s43762-023-00105-x","DOIUrl":"https://doi.org/10.1007/s43762-023-00105-x","url":null,"abstract":"Abstract The online and in-store shopping landscape underwent transformative shifts due to the Covid-19 pandemic, potentially leading to novel hybrid shopping behaviors following the availability of Covid-19 vaccines. However, these new dynamics, especially for non-essential experience goods which were heavily impacted by lockdowns, remain relatively unexplored. Moreover, variations in such dynamics within the same product class are not well understood. This study investigates the interactions between online and in-store shopping behaviors across four categories of non-essential experience goods: clothing, shoes, watches, and jewelry (CSWJ); beauty and health products (BH); toys, kids, and baby supplies (TKB); and home, garden, and tools (HGT). Data from over 2,000 Florida residents collected in early 2021, encompassing purchase frequencies, attitudes, and socio-demographic attributes, were analyzed using separate bidirectional structural equation models. Findings indicate that the relationship between online and in-store shopping for CSWJ and TKB exhibited reciprocal complementarity effects. In contrast, BH and HGT displayed an asymmetric reciprocal relationship, with in-store shopping showing no significant influence on online shopping. Results on the mediating influence of attitudes on shopping behaviors showed that a pro-online shopping attitude and preference for alternative travel modes positively influenced online shopping frequency, while the joy of shopping and data privacy/security concerns emerged as drivers of in-store shopping across all product categories. In sum, this study underscores the presence of product-specific heterogeneity even within the experience goods class, contributing to the complex interactions between online and in-store shopping behaviors.","PeriodicalId":72667,"journal":{"name":"Computational urban science","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134990410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Artificial Intelligence for road quality assessment in smart cities: a machine learning approach to acoustic data analysis 智能城市道路质量评估的人工智能：声学数据分析的机器学习方法

Computational urban science Pub Date : 2023-09-08 DOI: 10.1007/s43762-023-00104-y

S. Jagatheesaperumal, Simon Elias Bibri, Shrivarshni Ganesan, Poongkalai Jeyaraman

引用次数: 0

“Re-evaluating the health performance of historical buildings using WELLV1 rating system” “使用WELLV1评级系统重新评估历史建筑的健康性能”

Computational urban science Pub Date : 2023-08-31 DOI: 10.1007/s43762-023-00103-z

H. Raslan, Dalia Shebl Saeed

引用次数: 0

Urban cooling potential and cost comparison of heat mitigation techniques for their impact on the lower atmosphere 城市冷却潜力和减热技术对低层大气影响的成本比较

Computational urban science Pub Date : 2023-08-04 DOI: 10.1007/s43762-023-00101-1

Ansar Khan, Laura Carlosena, Samiran Khorat, Rupali Khatun, Debashish Das, Quang‐Van Doan, R. Hamdi, Sk Mohammad Aziz, H. Akbari, M. Santamouris, D. Niyogi

引用次数: 1

AI-enabled strategies for climate change adaptation: protecting communities, infrastructure, and businesses from the impacts of climate change 人工智能支持的气候变化适应战略：保护社区、基础设施和企业免受气候变化的影响

Computational urban science Pub Date : 2023-07-17 DOI: 10.1007/s43762-023-00100-2

Harshita Jain, R. Dhupper, A. Shrivastava, Deepak Kumar, Maya Kumari

引用次数: 1

Automating intersection marking data collection and condition assessment at scale with an artificial intelligence-powered system 用人工智能驱动的系统大规模自动化交叉口标记数据收集和状况评估

Computational urban science Pub Date : 2023-07-13 DOI: 10.1007/s43762-023-00098-7

Kun Xie, Huiming Sun, Xiaomeng Dong, Hong Yang, Hongkai Yu

引用次数: 0

Urban expansion of Korhogo City (Côte d’Ivoire) using gis and nocturnal remote sensing 利用地理信息系统和夜间遥感的科霍戈市(Côte科特迪瓦)城市扩张

Computational urban science Pub Date : 2023-07-06 DOI: 10.1007/s43762-023-00099-6

Gaoussou Sylla, Talnan Jean Honore Coulibaly, Naga Coulibaly, Koffi Claude Alain Kouadio, Houebagnon Saint Jean Patrick Coulibaly, Souleymane Cissé, K. Sie, Issa Camara, Kouadio Henri Joel N’guessan

引用次数: 0

Seasonal characteristics of crime: an empirical investigation of the temporal fluctuation of the different types of crime in London 犯罪的季节性特征:伦敦不同类型犯罪时间波动的实证研究

Computational urban science Pub Date : 2023-05-04 DOI: 10.1007/s43762-023-00094-x

N. Shiode, S. Shiode, Hayato Nishi, Kimihiro Hino

引用次数: 0