scholarly journals Planning Urban Manufacturing, Industrial Building Typologies, and Built Environments: Lessons From Inner London

2021 ◽  
Vol 6 (3) ◽  
pp. 350-367
Author(s):  
Jessica Ferm ◽  
Dimitrios Panayotopoulos-Tsiros ◽  
Sam Griffiths

Despite concerns about the loss of industry, industrial land, and buildings in high-value post-industrial cities, there is concurrently a renewed enthusiasm around the potential of “new” urban manufacturing and its contribution to the socio-economic diversity of cities. Yet, little is known about how planning policy can best support the retention and growth of urban manufacturing. To advance this agenda, this article proposes that we need a better understanding of industrial building typologies and resultant urban form. Using concepts developed by Julienne Hanson to analyse residential morphologies undergoing transformation under modernism, we apply these concepts to investigate the industrial, mixed-use contexts in two areas of London with concentrations of urban manufacturing—Hackney Mare Street and Old Kent Road. The research presented examines how both areas have evolved historically to produce distinctive urban tissues and a range of industrial building typologies. The article reveals that, despite territorial similarities in the late 19th century, the mixed land uses and smaller plot sizes of Hackney Mare Street have allowed for a more resilient development pattern, whereas the greater separation of land uses, large plot sizes, and inward-facing development in the Old Kent Road has facilitated its reimagination for large-scale regeneration. We conclude that greater attention needs to be paid to the relationship between urban manufacturing and built urban form if policies that aim to protect or support the revival of manufacturing in cities are to avoid negative unintended consequences.

2013 ◽  
Vol 38 (4) ◽  
pp. 27-36
Author(s):  
Florian Wiedmann ◽  
Velina Mirincheva ◽  
Ashraf M. Salama

This paper aims to offers an assessment of the current transformation process of Doha's historic centre, which has become a major focus of public development strategies. While the historic centre was neglected during most of the second half of the 20th century, recent public initiatives have been leading to new urban morphologies and typologies. In addition to the redevelopment of the historic market and the investments in museums, a large scale mixed use development, known as Msheireb project, has been launched, which will replace an entire district. The objective of this paper is therefore to clarify how these public initiatives are modifying existing urban structures and to which extent this spatial reconfiguration contributes to major revitalisation objectives, such as diversity, consolidation and identity. The methodologies include a GIS survey to analyse the shift in urban densities, land uses and typologies as well as a Space Syntax study assessing the various levels of spatial integration in the case of the Msheireb project.


Author(s):  
Heather L. Welch ◽  
Christopher T. Green ◽  
Richard A. Rebich ◽  
Jeannie R.B. Barlow ◽  
Matthew B. Hicks

2021 ◽  
Vol 13 (10) ◽  
pp. 5731
Author(s):  
Elmira Jamei ◽  
Khatereh Ahmadi ◽  
Hing Wah Chau ◽  
Mehdi Seyedmahmoudian ◽  
Ben Horan ◽  
...  

Physical activity is connected to public health in many ways, and walking is its most popular form. Modern planning models have been applied to cities to manage rapid urban expansions. However, this practice has led to low level of walkability and strong car-dependency in today’s cities. Hence, this study aims to provide a review of the most promising urban design parameters affecting walkability, using Frank Lawrence’s theory of “Objectively Measured Urban Form” (density, connectivity and accessibility, and mixed-use development) as the basis of discussion. The second part of this paper takes a case study approach, through discussing the main design elements of traditional Iranian cities (mosques, bazaars, residential quarters, and alleyways) and analyses their impacts on promoting walkability. This study concludes that incorporating inherent values of traditional urban design elements will complement modern planning and design practices.


Author(s):  
A. Nivaggioli ◽  
J. F. Hullo ◽  
G. Thibault

<p><strong>Abstract.</strong> Industrial companies often require complete inventories of their infrastructure. In many cases, a better inventory leads to a direct reduction of cost and uncertainty of engineering. While large scale panoramic surveys now allow these inventories to be performed remotely and reduce time on-site, the time and money required to visually segment the many types of components on thousands of high resolution panoramas can make the process infeasible. Recent studies have shown that deep learning techniques, namely deep neural networks, can accurately perform panoptic segmentation of <i>things</i> and <i>stuff</i> and hence be used to inventory the components of a picture. In order to train those deep architectures with specific industrial equipment, not available in public datasets, our approach uses an as-built 3D model of an industrial building to procedurally generate labels. Our results show that, despite the presence of errors during the generation of the dataset, our method is able to accurately perform panoptic segmentation on images of industrial scenes. In our testing, 80% of generated labels were correctly identified (non null intersection over union, i.e. true positive) by the panoptic segmentation, with great performance levels even for difficult classes, such as reflective heat insulators. We then visually investigated the 20% of true negative, and discovered that 80% were correctly segmented, but were counted as true negative because of errors in the dataset generation. Demonstrating this level of accuracy for panoptic segmentation on industrial panoramas for inventories also offers novel perspectives for 3D laser scan processing.</p>


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