The Environmental Design of Tall Buildings in High Density Subtropical Cities

Ng, Edward; He, Justin Zhengjun; An, Xipo

doi:10.3850/9789628014194_0042

Cited by 2 publications

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“…It is estimated that by 2050, the world's urban population will increase by 55%, increasing by about 2.5 billion [4]. More than 60% of the world's urban population growth occurs in cities in developing countries pursuing highrise and compact urban development [5]. Nearly 90% of the new urban population will live in Asia and Africa [4].…”

Section: Introductionmentioning

confidence: 99%

Understanding the Urban Environment from Satellite Images with New Classification Method—Focusing on Formality and Informality

et al. 2022

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Urbanization plays a critical role in changing the urban environment. Most developed countries have almost completed urbanization. However, with more and more people moving to cities, the urban environment in developing countries is undergoing significant changes. Sustainable development cannot be achieved without significant changes in building, managing, and responding to changes in the urban environment. The classified measurement and analysis of the urban environment in developing countries and the real-time understanding of the evolution and characteristics of the urban environment are of great significance for decision-makers to manage and plan cities more effectively and maintain the sustainability of the urban environment. Hence, a method readily applicable for the state-of-the-art computational analysis can help conceive the rapidly changing urban socio-environmental dynamics that can make the policy-making process even more informative and help monitor the changes almost in real-time. Based on easily accessible data from Google Earth, this work develops and proposes a new urban environment classification method focusing on formality and informality. Firstly, the method gives a new model to scrutinize the urban environment based on the buildings and their surroundings. Secondly, the method is suited for the state-of-the-art machine learning processes that make it applicable and scalable for forecasting, analytics, or computational modeling. The paper first demonstrates the model and its applicability based on the urban environment in the developing world. The method divides the urban environment into 16 categories under four classes. Then it is used to draw the urban environment classes maps of the following emerging cities: Nairobi in Kenya, Mumbai in India, Guangzhou in China, Jakarta in Indonesia, Cairo in Egypt, and Lima in Chile. Then, we discuss the characteristics of different urban environments and the differences between the same class in different cities. We also demonstrate the agility of the proposed method by showing how this classification method can be easily augmented with other data such as population per square kilometer to aid the decision-making process. This mapping should help urban designers who are working on analyzing formality and informality in the developing world. Moreover, from the application point of view, this will provide training data sets for future deep learning algorithms and automate them, help establish databases, and significantly reduce the cost of acquiring data for urban environments that change over time. The method can become a necessary tool for decision-makers to plan sustainable urban spaces in the future to design and manage cities more effectively.

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Section: Introductionmentioning

confidence: 99%

Understanding the Urban Environment from Satellite Images with New Classification Method—Focusing on Formality and Informality

et al. 2022

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“…Beberapa penelitian telah dilakukan untuk mengetahui upaya-upaya meningkatan permeabilitas kecepatan angin rata-rata dengan pengaturan bangunan. Ng mengusulkan menambah celah pada blok bangunan untuk meningkatkan permeabilitas (Ng, 2009). Ketika bangunan bertingkat dibangun di tengah-tengah sekelompok bangunan bertingkat rendah maka kecepatan angin dapat meningkat hingga dua kali lipat (van Druenen et al, 2019).…”

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Pengaruh Kepadatan Bangunan Terhadap Permeabilitas pada Rumah Sakit di Indonesia

Geraldine,

Syafii

2023

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ABSTRAK. Seiring dengan pertumbuhan jumlah penduduk di Indonesia peningkatan akan kebutuhan layanan kesehatan juga semakin meningkat, khususnya kebutuhan rumah sakit. Rumah Sakit Paru dr Ario Wirawan (RSPAW) Salatiga saat ini sedang dalam tahap perencanaan untuk pembangunan. Pembangunan rumah sakit ini akan mempengaruhi kepadatan bangunan yang ada di kawasan eksisting. Berdasarkan penelitian terdahulu bahwa densitas bangunan memiliki pengaruh besar terhadap iklim mikro disekitarnya khususnya terhadap permeabilitas angin pada kawasan. Penelitian ini bertujuan untuk mengetahui pengaruh berbagai densitas bangunan untuk mengoptimalkan permeabilitas kawasan agar sirkulasi udara dapat terdistribusi dengan optimal pada kawasan Rumah Sakit Paru dr Ario Wirawan. Penelitian ini akan menggunakan metode simulasi dengan Rhinoceros sebagai perangkat permodelan yang akan dilanjutkan dengan metode analisis CFD dari perangkat tambahan Grasshopper. Selanjutnya, untuk melakukan analisis simulasi CFD akan menggunakan salah satu perangkat bagian dari Ladybug Tools yaitu Butterfly. Hasil penelitian menunjukkan apabila pada kawasan RSPAW melakukan pengembangan dengan menambah kepadatan bangunan tanpa mempertimbangkan permeabilitas akan menurunkan kecepatan angin rata-ratanya. Permeabilitas yang dianjurkan adalah minimal 70% untuk mencapai kategori dapat diterima berdasarkan standar kenyamanan angin. Sedangkan untuk permeabilitas dibawah 70% dianggap kurang menguntungkan. Meskipun begitu, permeabilitas minimal 85% telah terbukti lebih baik pada kedua arah datang angin untuk dapat masuk kategori dapat diterima. Kata kunci: rumah sakit, permeabilitas udara, kepadatan bangunan, iklim mikro ABSTRACT. Along with population growth in Indonesia, the need for health services is also increasing, especially for hospitals. Dr. Ario Wirawan's Pulmonary Hospital is currently in the process of planning to develop. The development of this hospital will affect the density of existing buildings in the existing area; based on previous research, the density of buildings significantly influences the surrounding microclimate, especially wind permeability in the area. This study aims to determine the effect of various building densities to optimize the permeability of the area so that air circulation can be optimally distributed in the area of Dr. Ario Wirawan Lung Hospital. A simulation method with a quantitative approach will be used. This research will use Rhinoceros as a modeling tool followed by the CFD analysis method from Grasshopper enhancement.Furthermore, this research will use Ladybug Tools and Butterfly plugin to analyze the CFD simulation. The results show that if the RSPAW area develops by increasing the density of buildings without considering the permeability will reduce the average wind speed. The recommended permeability percentage is at least 70% to reach an acceptable category based on wind comfort standards, as more than 70% is acceptable. However, the permeability of at least 85% is better in both wind directions, being acceptable. Keywords: hospital, wind permeability, building density, microclimate

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The Environmental Design of Tall Buildings in High Density Subtropical Cities

Cited by 2 publications

References 0 publications

Understanding the Urban Environment from Satellite Images with New Classification Method—Focusing on Formality and Informality

Understanding the Urban Environment from Satellite Images with New Classification Method—Focusing on Formality and Informality

Pengaruh Kepadatan Bangunan Terhadap Permeabilitas pada Rumah Sakit di Indonesia

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