Developing Street-Level PM2.5and PM10Land Use Regression Models in High-Density Hong Kong with Urban Morphological Factors

2016 ◽  
Vol 50 (15) ◽  
pp. 8178-8187 ◽  
Author(s):  
Yuan Shi ◽  
Kevin Ka-Lun Lau ◽  
Edward Ng
2019 ◽  
Vol 44 (2) ◽  
pp. 77-84
Author(s):  
Jing Xiao ◽  
Charlie Q. L. Xue

This research paper examines the post-military landscape of the Victoria Barracks regarding the high-density urbanism in Hong Kong from the 1970s to the 2000s. The article first interprets the concept of post-military landscape according to the ideology and urbanism of the then Hong Kong society. It then studies three plans of the Victoria Barracks of different stages, showing contestations between domestic, commercial and administrative powers in controlling the military redevelopment. Several contemporary architectural projects on the site will also provide an alternative view of the transformation according to the local economic laissez-faire policy. Its influence to the unsatisfactory heritage protection leads to the disappearance and false representation of the identity of this particular military and cultural heritage.


2021 ◽  
Author(s):  
◽  
Yingyi Zhang

<p>Parametric tools have been broadly implemented in Architecture, Engineering and Construction (AEC) industry. Recently, an increasing volume of research finds that parametric tools also have the capability to facilitate large-scale planning and urban design. Much of this research, however, focuses on parametric representation or environment simulation. There is insufficient research about using parametric tools to enhance urban regulation. Parametric tools can provide smart design procedures by integrating strategies, solutions and expressions in one system. They may allow alternative approaches to urban regulation that conventional tools do not process.  This research aims to create a parametric modelling system to aid urban regulation. The system offers a visualised coding interface to manipulate parameters and achieve interactive performance feedback at the early stage of urban regulation. Form-Based Code uses the modelling system in this research. It generates a specific morphology by controlling physical form with less focus on land use. With the rise of New Urbanism, Form-Based Code has been used in various American regulation projects. This research extends the application of Form-Based Code, adopting it for urban-peripheral environments outside of the USA. High-density cities where provide the volumetric morphology context is important for this work. Tsim Sha Tsui area of Hong Kong works as an experimental site.  The feasibility of parametric urban regulation is examined by developing a parametric modelling system for Form-Based Code in Hong Kong. Understanding the site’s form characteristics, the transect matrix of Form-Based Code is expanded by incorporating multi-layered zone types and regulating plans. Embedding the zones into parametric modelling software Rhinoceros 3D and Grasshopper 3D, a regenerative prototype works to create real-time scenarios responding to parameters, rules and geometry constraints. The results of parametric urban regulation are evaluated by both Form-Based Code standards and local urban regulation standards to assess its feasibility in context.  This research demonstrates that the parametric modelling system for Form-Based Code has both technological and implemental potential to work as an alternative approach to urban regulation, especially in complex developments. Form complexity is a reflection of sophisticated human-society systems and the sequential evolution of a dynamic morphology. Form-Based Code is enhanced by the parametric modelling system to describe and regulate form complexity in a logical manner. Additionally, although parametric Form-Based Code processing is based on the original Form-Based Code, it is not limited to that. Describing urban regulation with visualised models bridges specialists and the public in community demonstrations and code assembling. The parametric modelling system has a positive impact on resolving challenges, predicting outcomes, and applying urban regulation innovation to the volumetric morphology of high-density cities in Asia.</p>


2022 ◽  
Vol 14 (2) ◽  
pp. 260
Author(s):  
Eun-Sub Kim ◽  
Seok-Hwan Yun ◽  
Chae-Yeon Park ◽  
Han-Kyul Heo ◽  
Dong-Kun Lee

Extreme heat exposure has severe negative impacts on humans, and the issue is exacerbated by climate change. Estimating spatial heat stress such as mean radiant temperature (MRT) is currently difficult to apply at city scale. This study constructed a method for estimating the MRT of street canyons using Google Street View (GSV) images and investigated its large-scale spatial patterns at street level. We used image segmentation using deep learning to calculate the view factor (VF) and project panorama into fisheye images. We calculated sun paths to estimate MRT using panorama images from Google Street View. This paper shows that regression analysis can be used to validate between estimated short-wave, long-wave radiation and the measurement data at seven field measurements in the clear-sky (0.97 and 0.77, respectively). Additionally, we compared the calculated MRT and land surface temperature (LST) from Landsat 8 on a city scale. As a result of investigating spatial patterns of MRT in Seoul, South Korea, we found that a high MRT of street canyons (>59.4 °C) is mainly distributed in open space areas and compact low-rise density buildings where the sky view factor is 0.6–1.0 and the building view factor (BVF) is 0.35–0.5, or west-east oriented street canyons with an SVF of 0.3–0.55. However, high-density buildings (BVF: 0.4–0.6) or high-density tree areas (Tree View Factor, TVF: 0.6–0.99) showed low MRT (<47.6). The mapped MRT results had a similar spatial distribution to the LST; however, the MRT was lower than the LST in low tree density or low-rise high-density building areas. The method proposed in this study is suitable for a complex urban environment consisting of buildings, trees, and streets. This will help decision makers understand spatial patterns of heat stress at the street level.


2021 ◽  
Vol 5 (17) ◽  
pp. 33-48
Author(s):  
Caterina Villani ◽  
Gianni Talamini ◽  
Zhijian Hu

The public space plays a crucial role in providing adequate infrastructure for vulnerable social groups in the context of high-density urban Asia. In this study, a well-known elevated pedestrian network in Hong Kong emerges as a revelatory case for the comparative analysis of the pattern of stationary uses before and after the COVID-19 pandemic out-break. Findings reveal a significant decrease (-20 %) in the total number of users and a shift in the pattern of activities, comprising a significant shrinkage of socially oriented uses and a vast increase of individual behaviors. This study advocates a responsive policymaking that considers the peculiar post-outbreak needs of migrant workers in Hong Kong and in high-density urban Asia Keywords: Covid-19; public space; migrant domestic workers; behavioural mapping eISSN  2514-751X © 2020 The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians / Africans / Arabians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/ajebs.v5i17.374


2015 ◽  
Vol 50 ◽  
pp. 23-34 ◽  
Author(s):  
Hao Wang ◽  
Xiaoling Zhang ◽  
Martin Skitmore

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