Does compact development promote a seismic-resistant city? Application of seismic-damage statistical models to Taichung, Taiwan

Wang, Chih-Hao

doi:10.1177/2399808318770454

Cited by 3 publications

(2 citation statements)

References 26 publications

(45 reference statements)

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“…Compactness rate BCI is used to measure the degree of dispersion of urban spatial expansion. The closer the BCI value is to 1, the urban space is to more compact; on the contrary, it tends to be discrete [6]. The builtup area of Xi'an BCI is less than 1 and lower for a long time, the built-up area of Xi'an is in a non-compact state.…”

Section: Analysis Of the Spatial Change Characteristics Of Urban Spat...mentioning

confidence: 97%

Study on the Temporal and Spatial Evolution of Urban Spatial Morphological Features

Zhao¹,

Dang²

2023

AJST

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Based on the Landsat remote sensing images of the fourth phase of Xi'an, the land use data of ENVI interpretation and classification are used to extract the boundaries of Xi'an's built-up areas, and the urban spatial analysis method based on GIS is used to comprehensively analyze the evolution characteristics of urban space in Xi'an in the past 30 years. The research results show that the built-up area in Xi'an has been expanding rapidly since 2000, mainly in the form of extension, the shape of the built-up area tends to expand in all directions, and the overall compactness is low, and the efficiency of urban land use is significantly reduced. The overall development presents spread trend.

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Section: Analysis Of the Spatial Change Characteristics Of Urban Spat...mentioning

confidence: 97%

Study on the Temporal and Spatial Evolution of Urban Spatial Morphological Features

Zhao¹,

Dang²

2023

AJST

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“…On the other hand, compact developments were found to be less seismic-resilient (where polycentric compact developments are favored over monocentric ones) when compared to extreme urban sprawls. This is because in urban sprawls "only a small share of the city will be exposed to an earthquake at a time" [80] (p. 97). However, this development type is widely recognized as among the most unsustainable forms of development and is not preferred by most planners [81,82].…”

Section: Floods Earthquakes and Related General Structural Collapsesmentioning

confidence: 99%

Disentangling the Relationship between Urban Form and Urban Resilience: A Systematic Literature Review

Eldesoky,

Abdeldayem

2023

Urban Science

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The concept of resilience was only recently introduced into urban studies to address the complexity and future uncertainty in cities. In particular, the interest in better understanding how it can be integrated into studying urban form—as the raw material of urban planning/design and key for the sustainability of cities—has been growing. However, resilience is a polysemic concept with different meanings/interpretations, which creates ambiguity and challenges in its operationalization. This paper resolves this issue through a systematic review of 106 peer-reviewed publications guided by recurring questions in the literature (e.g., resilience of/through what? To what? For whom? How? When? Where?). The results showed that the urban form–resilience relationship is complex, where many urban form elements can influence resilience to a great many disturbances (general/specified). In facing these disturbances, urban form exhibits different performances (i.e., persistence, adaptability and transformability) and where it can be either persistent/adaptable/transformable itself or can enhance people’s persistence/adaptation capacities. The review also showed that there are many actors for urban form resilience and potential trade-offs. Finally, an overview of existing definitions of urban form resilience is provided to improve clarity in the field, and examples of general urban planning/design recommendations were formulated to enhance the resilience of different urban form elements.

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Estimation of earthquake damage to urban environments using sparse modeling

Ogawa

Sekimoto

Shibasaki

2021

Environment and Planning B: Urban Analytics and City Science

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For the establishment of precise disaster prevention measures in response to the Nankai megathrust earthquakes predicted to occur in the future, it is necessary to conduct numerous earthquake simulations and evaluate the vulnerability of the urban environment quantitatively. This vulnerability is evaluated on the basis of factors such as the extent of damage from earthquakes, as well as the attributes of residents, urban infrastructure, and systems in the environment. In this study, we propose a sparse modeling (SpM)-based technique for the evaluation of potential damage to urban environments due to Nankai megathrust earthquakes in Japan. As explanatory variables, any variables related to urban environments in Kochi Prefecture are considered. The results show that, unlike the so-called “complex disaster” events, the number of critical variables that characterize damage states when external disaster forces data (e.g. estimated seismic motion and tsunami height) and urban environment data are available is low, regardless of the magnitude of damage. In other words, urban system variables selected for damage states may be extracted as variables indicating vulnerability to earthquake damage. In addition, we evaluated the characteristics of different cities by visualizing the SpM results on a radar chart. The proposed technique is useful for gaining a deeper understanding of the influence of urban environment variables on earthquake damages. Furthermore, it is expected that measures for improving urban system resilience will be explored based on the proposed technique.

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Does compact development promote a seismic-resistant city? Application of seismic-damage statistical models to Taichung, Taiwan

Cited by 3 publications

References 26 publications

Study on the Temporal and Spatial Evolution of Urban Spatial Morphological Features

Study on the Temporal and Spatial Evolution of Urban Spatial Morphological Features

Disentangling the Relationship between Urban Form and Urban Resilience: A Systematic Literature Review

Estimation of earthquake damage to urban environments using sparse modeling

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