An Experimental Methodology for Urban Morphology Analysis

Kepczynska-Walczak, Anetta; Pietrzak, Anna

doi:10.1007/978-981-10-5197-5_1

Cited by 3 publications

(1 citation statement)

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“…From the perspective of urban planning, blocks are often regarded as spatial units, and the overall urban spatial form is studied in terms of development capacity, density, height, and other indexes. From the perspective of architecture, blocks are regarded as space carriers in architectural design and have been studied in terms of urban space vitality from the perspective of urban streets and urban interfaces; the quantification and comparison of block form by fabric [32], scale, diversity, complexity, and other indexes [33], [34]; the correlation of street network structure with block form [35], [36], and form parameters and their association with environmental climate [37], [38], [39].…”

Section: Introductionmentioning

confidence: 99%

Investigating the Intensive Redevelopment of Urban Central Blocks Using Data Envelopment Analysis and Deep Learning: A Case Study of Nanjing, China

Leng

Jie

2019

IEEE Access

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Intensification of morphology of blocks, which are the basic units of urban form and land management, is the key to sustainable urban development. Taking 206 blocks of Nanjing's central city area as an example, an evaluation system featuring six output-oriented indicators and five input-oriented indicators was constructed for data envelopment analysis to measure the blocks' intensity level. Relatively intensive blocks were selected as training data, and the output-oriented indicators of non-intensive blocks were predicted by a deep learning model, completing the procedure from evaluation of intensity to optimisation of morphological indicators. Finally, using the difference calculation and Arctool of weighted overlay in ArcGIS, a reference for the optimisation design of urban block morphology was created.

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Section: Introductionmentioning

confidence: 99%

Investigating the Intensive Redevelopment of Urban Central Blocks Using Data Envelopment Analysis and Deep Learning: A Case Study of Nanjing, China

Leng

Jie

2019

IEEE Access

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The City of Tomorrow from… the Data of Today

Agugiaro

González

Cavallo

2020

IJGI

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In urban planning, a common unit of measure for housing density is the number of households per hectare. However, the actual size of the physical space occupied by a household, i.e., a dwelling, is seldom considered, neither in 2D nor in 3D. This article proposes a methodology to estimate the average size of a dwelling in existing urban areas from available open data, and to use it as one of the design parameters for new urban-development projects. The proposed unit of measure, called “living space”, includes outdoor and indoor spaces. The idea is to quantitatively analyze the city of today to help design the city of tomorrow. First, the “typical”-dwelling size and a series of Key Performance Indicators are computed for all neighborhoods from a semantic 3D city model and other spatial and non-spatial datasets. A limited number of neighborhoods is selected based on their similarities with the envisioned development plan. The size of the living space of the selected neighborhoods is successively used as a design parameter to support the computer-assisted generation of several design proposals. Each proposal can be exported, shared, and visualized online. As a test case, a to-be-planned neighborhood in Amsterdam, called “Sloterdijk One”, has been chosen.

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An Interactive Design Tool for Urban Planning Using the Size of the Living Space as Unit of Measurement

Gonzalez

Agugiaro

Cavallo

2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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<p><strong>Abstract.</strong> In urban planning, a common unit of measurement for population density is the number of households per hectare. However, the actual size of the households is seldom considered, neither in 2D nor in 3D. This paper proposes a method to calculate the average size of the household in existing urban areas from available open data and to use it as a design parameter for new urban development. The proposed unit of measurement includes outdoor and indoor spaces, the latter comprising both residential and non-residential spaces. As a test case, a to-be-planned neighbourhood in Amsterdam, called Sloterdijk One, was chosen. First, the sizes of “typical” households, as well as a series of KPIs, were computed in existing neighbourhoods of Amsterdam, based on their similarities with the envisioned Sloterdijk One plan. Successively, the resulting size of the household was used as a design parameter in a custom-made tool to generate semi-automatically several design proposals for Sloterdijk One. Additionally, each proposal can be exported as a CityGML model and visualised using web-based virtual globes, too. Significant differences among the resulting proposals based on this new unit of measurement were encountered, meaning that the average size of a household plays indeed a major role.</p>

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An Experimental Methodology for Urban Morphology Analysis

Cited by 3 publications

References 1 publication

Investigating the Intensive Redevelopment of Urban Central Blocks Using Data Envelopment Analysis and Deep Learning: A Case Study of Nanjing, China

Investigating the Intensive Redevelopment of Urban Central Blocks Using Data Envelopment Analysis and Deep Learning: A Case Study of Nanjing, China

The City of Tomorrow from… the Data of Today

An Interactive Design Tool for Urban Planning Using the Size of the Living Space as Unit of Measurement

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