scholarly journals Suggestive Site Planning with Conditional GAN and Urban GIS Data

Author(s):  
Runjia Tian

AbstractIn architecture, landscape architecture, and urban design, site planning refers to the organizational process of site layout. A fundamental step for site planning is the design of building layout across the site. This process is hard to automate due to its multi-modal nature: it takes multiple constraints such as street block shape, orientation, program, density, and plantation. The paper proposes a prototypical and extensive framework to generate building footprints as masterplan references for architects, landscape architects, and urban designers by learning from the existing built environment with Artificial Neural Networks. Pix2PixHD Conditional Generative Adversarial Neural Network is used to learn the mapping from a site boundary geometry represented with a pixelized image to that of an image containing building footprint color-coded to various programs. A dataset containing necessary information is collected from open source GIS (Geographic Information System) portals from the city of Boston, wrangled with geospatial analysis libraries in python, trained with the TensorFlow framework. The result is visualized in Rhinoceros and Grasshopper, for generating site plans interactively.

2019 ◽  
pp. 141
Author(s):  
Ifham Azhar Abdurrahman ◽  
Lury Sevita Yusiana ◽  
Ni Wayan Febriana Utami

Planning of the tukad Badung downstream riverside for the recreation in the City of Denpasar. Riverhas a very big role for the development of human civilization, that is by providing a source of water for humanlife and become a common fertilizer located in the valley directly. The flows of Tukad Badung in Denpasar Cityhas the function and potential as a source of irrigation, the source of raw water services, clean water service,drainage, and the future can be used as a recreational water. The purpose of this research is to plan forlandscapes that are consistent with those location, and to recommend recreation activities as they can bepresented in the landscape of the tukad Badung. The method used in this research is survey with observation,questionnaire, and literature review technique. The results of this research consists of general condition and research site location, inventory, analytical synthesis, conceptual, site planning, and planning of recreationalactivity. The final result was a site plan of riverside. The conclusion of this research was the physical conditiondivided by biophysical and social aspects. Concept plan has two stages, basic concepts and developmentconcepts. The recommended activities and recreational facilities which planned were fishing, exercising, picnic,crossing bridges, and taking pictures. It can be suggest that in this research should be considered naturalnessand cleanliness of area and create a characteristic at the site


Author(s):  
Fonna Forman ◽  
Teddy Cruz

Cities or municipalities are often the most immediate institutional facilitators of global justice. Thus, it is important for cosmopolitans and other theorists interested in global justice to consider the importance of the correspondence between global theories and local actions. In this chapter, the authors explore the role that municipalities can play in interpreting and executing principles of global justice. They offer a way of thinking about the cosmopolitan or global city not as a gentrified and commodified urban space, but as a site of local governance consistent with egalitarian cosmopolitan moral aims. They work to show some ways in which the city of Medellín, Colombia, has taken significant steps in that direction. The chapter focuses especially on how it did so and how it might serve as a model in some important ways for the transformation of other cities globally in a direction more consistent with egalitarian cosmopolitanism.


Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4916
Author(s):  
Ali Usman Gondal ◽  
Muhammad Imran Sadiq ◽  
Tariq Ali ◽  
Muhammad Irfan ◽  
Ahmad Shaf ◽  
...  

Urbanization is a big concern for both developed and developing countries in recent years. People shift themselves and their families to urban areas for the sake of better education and a modern lifestyle. Due to rapid urbanization, cities are facing huge challenges, one of which is waste management, as the volume of waste is directly proportional to the people living in the city. The municipalities and the city administrations use the traditional wastage classification techniques which are manual, very slow, inefficient and costly. Therefore, automatic waste classification and management is essential for the cities that are being urbanized for the better recycling of waste. Better recycling of waste gives the opportunity to reduce the amount of waste sent to landfills by reducing the need to collect new raw material. In this paper, the idea of a real-time smart waste classification model is presented that uses a hybrid approach to classify waste into various classes. Two machine learning models, a multilayer perceptron and multilayer convolutional neural network (ML-CNN), are implemented. The multilayer perceptron is used to provide binary classification, i.e., metal or non-metal waste, and the CNN identifies the class of non-metal waste. A camera is placed in front of the waste conveyor belt, which takes a picture of the waste and classifies it. Upon successful classification, an automatic hand hammer is used to push the waste into the assigned labeled bucket. Experiments were carried out in a real-time environment with image segmentation. The training, testing, and validation accuracy of the purposed model was 0.99% under different training batches with different input features.


2011 ◽  
Vol 36 (2) ◽  
pp. 24-35
Author(s):  
Bob Brown

A new urban paradigm, the global city, emerged in the late 20th Century finding acceptance in discussions of urban development. Tied into a global network of exchange, it exists principally as a place of financial speculation and transaction. It is marked by a parallel economy of culture, which underpins a re-conceptualisation and spatial re-formation of the city. Despite its widespread currency, criticisms have challenged its economic sustainability. Further questions have contested its tendency to impose a singular, homogenized space prioritizing consumption while marginalising other concerns. Post-independence Riga's recent experience provides a platform from which to critique the global city paradigm, which the city embraced as it sought to embed itself in the West not only politically but culturally and economically as well. In opposition to this model's intrinsic singular emphasis and exclusionary tendencies, this text will explore the concept of palimpsest; this proposition understands the city as a multiplicity of layers, within which convergences and divergences offer a site from which to generate synergies. This will be framed in reference to recent discourse on the sustainable city and development practice. Recent design-led inquiry situated in the context of Riga will then provide a lens on palimpsest as an alternative form of praxis.


JURTEKSI ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 85-94
Author(s):  
Muhammad Jufri

Abstract: The population growth in Indonesia is increasing rapidly every year, so to help the government control the population growth through family planning programs, especially in the city of Batam. This study explains and describes one of the Artificial Terms Network methods, namely Backpropagation, where this method can predict what will happen in the future using data and information in the past. This study aims to predict the birth rate in the city of Batam to help the government with the family planning program. The data used is the annual data on the number of births in the city of Batam in 2016-2020 at The Civil Registry Office. To facilitate the analysis of research data, the data were tested using Matlab R2015b. In this study, the training process was carried out using 3 network architectures, namely 4-10-1, 5-18-1, and 4-43-1. Of these 3 architectures, the best is the 4-43-1 architecture with an accuracy rate of 91% and an MSE value of 0.0012205. The Backpropagation method can predict the amount of population growth in the city of Batam based on existing data in the past.           Keywords: artificial neural network; backpropagation; prediction   Abstrak: Pertumbuhan jumlah penduduk diindonesia yang setiap tahun meningkat dengan pesat, maka untuk membantu pemerintah mengendalikan jumlah pertumbuhan penduduk melalui program keluarga berencana khususnya dikota Batam. Penelitian ini  menjelaskan dan memaparkan tentang salah satu metode Jaringan Syarat Tiruan yaitu Backpropagation, dimana metode ini dapat memprediksi apa yang akan terjadi masa yang akan datang dengan menggunakan data dan informasi dimasa lalu. Penelitian ini bertujuan untuk memprediksi tingkat kelahiran di kota Batam sehingga membatu pemerintah untuk perencanaan keluarga berencana. Data yang digunakan yaitu data tahunan jumlah kelahiran di kota Batam pada tahun 2016-2020 pada Dinas Kependudukan dan Catatan Sipil. Untuk mempermudah analisis data penelitian maka, data diuji menggunakan Matlab R2015b. Pada penelitian ini dilakukan proses pelatihan menggunakan  3 arsitektur jaringan yaitu 4-10-1, 5-18-1, dan 4-43-1. Dari ke-3 arsitektur ini yang terbaik adalah arsitektur 4-43-1 dengan tingkat akurasi sebesar 91% dan nilai MSE 0,0012205. Metode backpropagation mampu memprediksi jumlah pertumbuhan penduduk di kota Batam berdasarkan data yang ada dimasa lalu. Kata kunci: backpropagation; jaringan syaraf tiruan; prediksi 


2021 ◽  
Author(s):  
Yoshiki Ogawa ◽  
Takuya Oki ◽  
Shenglong Chen ◽  
Yoshihide Sekimoto

2018 ◽  
Vol 2 (4) ◽  
pp. 542-566
Author(s):  
Jessica Wright

In late antique theological texts, metaphors of the brain were useful tools for talking about forms of governance: cosmic, political, and domestic; failed and successful; interior discipline and social control. These metaphors were grounded in a common philosophical analogy between the body and the city, and were also supported by the ancient medical concept of the brain as the source of the sensory and motor nerves. Often the brain was imagined as a monarch or civic official, governing the body from the head as from an acropolis or royal house. This article examines two unconventional metaphors of the brain in the work of the fifth-century Greco-Syrian bishop Theodoret of Cyrrhus—the brain as a treasure within the acropolis, and the brain as a node in an urban aqueduct—both of which adapt the structural metaphor of governance to reflect the changing political and economic circumstances of imperial Christianity. Drawing upon medical theories of the brain, Theodoret expands upon the conventional governance metaphor of brain function to encompass the economic and the spiritual responsibilities of the bishop-administrator. Just as architectural structures (acropolis, aqueduct) contain and distribute valuable resources (treasure, water) within the city, so the brain accumulates and redistributes nourishing substances (marrow, blood, pneuma) within the body; and just as the brain functions as a site for the transformation of material resources (body) into spiritual goods (mind), so the bishop stands as a point of mediation between earthly wealth and the treasures of heaven.


Ethnography ◽  
2017 ◽  
Vol 19 (3) ◽  
pp. 312-335 ◽  
Author(s):  
Matthew Rosen

This article explores themes of chance and contingency in relation to field research I carried out in a network of outdoor newspaper libraries in Pune, India. Appearing amid the city’s transformation into a major regional hub linking western Maharashtra into the global economy, the vernacular institution of the footpath library emerges as a lens for bringing a range of issues related to social change in urban India into clearer focus. I show that the street library is not just a quiet place to sit and read but a site of social visibility and cultural assertion for Marathi-speaking migrants in the city.


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