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Smart Cities Indicators: How Regional Context and Its Stakeholders Are Essential to Name “The” Smart City 智慧城市指标:地区背景及其利益相关者如何对命名 "智慧城市 "至关重要
IF 4.8 3区 经济学 Q1 Social Sciences Pub Date : 2024-02-29 DOI: 10.1080/10630732.2024.2306451
Jairo Cardoso de Oliveira, M. Mazieri, C. Kniess
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引用次数: 0
Aerial Video Surveillance in a Megacity: A Case Study in Santiago, Chile 大城市的空中视频监控:智利圣地亚哥案例研究
IF 4.8 3区 经济学 Q1 Social Sciences Pub Date : 2024-02-29 DOI: 10.1080/10630732.2024.2309516
E. van ‘t Wout, Ismael Aguirre Molina
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引用次数: 0
Mundane Urban Governance and AI Oversight: The Case of Vienna's Intelligent Pedestrian Traffic Lights 平凡的城市治理与人工智能监督:维也纳智能行人交通灯案例
IF 4.8 3区 经济学 Q1 Social Sciences Pub Date : 2024-02-23 DOI: 10.1080/10630732.2024.2302280
Pouya Sepehr
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引用次数: 0
Understanding Chatbot Adoption in Local Governments: A Review and Framework 了解地方政府采用聊天机器人的情况:回顾与框架
IF 4.8 3区 经济学 Q1 Social Sciences Pub Date : 2024-02-01 DOI: 10.1080/10630732.2023.2297665
Sajani Senadheera, Tan Yigitcanlar, Kevin C. Desouza, K. Mossberger, Juan M. Corchado, Rashid Mehmood, Rita Yi-man Li, Pauline Hope Cheong
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引用次数: 0
Understanding Chatbot Adoption in Local Governments: A Review and Framework 了解地方政府采用聊天机器人的情况:回顾与框架
IF 4.8 3区 经济学 Q1 Social Sciences Pub Date : 2024-02-01 DOI: 10.1080/10630732.2023.2297665
Sajani Senadheera, Tan Yigitcanlar, Kevin C. Desouza, K. Mossberger, Juan M. Corchado, Rashid Mehmood, Rita Yi-man Li, Pauline Hope Cheong
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引用次数: 0
The Emergence of Artificial Intelligence in Anticipatory Urban Governance: Multi-Scalar Evidence of China’s Transition to City Brains 人工智能在预见性城市治理中的兴起:中国向城市大脑转型的多尺度证据
IF 4.8 3区 经济学 Q1 Social Sciences Pub Date : 2024-01-25 DOI: 10.1080/10630732.2023.2292823
Ying Xu, Federico Cugurullo, Heming Zhang, Alexander Gaio, Weishi Zhang
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引用次数: 0
Valuing “Othered” Rationalities in the Smart City: Examining Children’s Cycling from a Justice Perspective 重视智慧城市中的 "其他 "理性:从正义的角度审视儿童骑车问题
IF 4.8 3区 经济学 Q1 Social Sciences Pub Date : 2024-01-23 DOI: 10.1080/10630732.2023.2257476
Justin Spinney
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引用次数: 0
The Neuro-Cognitive Approach to Urban Planning: Wayfinding Behavior Analysis and its Effect on Urban Planning 城市规划的神经认知方法:寻路行为分析及其对城市规划的影响
IF 4.8 3区 经济学 Q1 Social Sciences Pub Date : 2024-01-22 DOI: 10.1080/10630732.2023.2289144
Ilker Erkan
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引用次数: 0
Unleashing Urban Technology Dynamics: The Interplay of AI Patents, Metropolitan Area Population, and R&D Expenditures in Sustainable Urban Development 释放城市技术动力:人工智能专利、大都市区人口和研发支出在城市可持续发展中的相互作用
IF 4.8 3区 经济学 Q1 Social Sciences Pub Date : 2024-01-22 DOI: 10.1080/10630732.2023.2289818
Volkan Göçoğlu, S. Göksu, Richard Kotter
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引用次数: 0
Mapping Roof Materials in Cities for Food, Water, and Energy Production: A Mediterranean Metropolitan Area Case Study 绘制城市屋顶材料图,促进粮食、水和能源生产:地中海都市区案例研究
IF 4.8 3区 经济学 Q1 Social Sciences Pub Date : 2023-10-20 DOI: 10.1080/10630732.2023.2270900
Perla Zambrano-Prado, A. Josa, J. Rieradevall, Ramon Alamús, Fernando Pérez, Juan Marchan, Santiago Gassó, X. Gabarrell
ABSTRACT In recent years, rooftops have been used as productive spaces for local resource (e.g. food, water, or energy) production. The main objective of this study is to demonstrate the potential of hyperspectral data to identify roof materials in cities. The case study area is located in a Mediterranean region north of Barcelona (Spain); diverse building typologies, building uses (residential, industrial, office, services and retail) and population densities constitute this study area. Two hyperspectral remote sensors (HRSs) were used to obtain hyperspectral images. Seven roof classes were identified using the k-means clustering algorithm. Most roofs were identified as metals (33 percent), followed by ceramic tiles (22 percent). The findings showed that 51 percent of roofs could be suitable for food, water, or energy production. Nevertheless, for a more reliable assessment of this potential, more criteria are needed.
摘要 近年来,屋顶已被用作生产当地资源(如食物、水或能源)的生产空间。本研究的主要目的是展示高光谱数据在识别城市屋顶材料方面的潜力。案例研究区域位于巴塞罗那(西班牙)北部的地中海地区;不同的建筑类型、建筑用途(住宅、工业、办公、服务和零售)和人口密度构成了该研究区域。两个高光谱遥感器(HRS)用于获取高光谱图像。使用 k-means 聚类算法确定了七个屋顶类别。大多数屋顶被识别为金属屋顶(33%),其次是瓷砖屋顶(22%)。研究结果表明,51% 的屋顶可用于食物、水或能源生产。然而,要对这种潜力进行更可靠的评估,还需要更多的标准。
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引用次数: 0
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Journal of Urban Technology
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