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Future Cities and Their Downtowns: Urban Studies and Planning

A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Architectural Design, Urban Science, and Real Estate".

Deadline for manuscript submissions: 31 December 2024 | Viewed by 2900

Special Issue Editors


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Guest Editor
Technology & Innovation Centre, Institute for Future Cities, University of Strathclyde, 99 George Street, Glasgow G1 1RD, UK
Interests: sustainable communities and cities; urban planning; urban design

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Guest Editor
Department of Architecture and Built Environment, Northumbria University, Newcastle-upon-Tyne NE1 8ST, UK
Interests: architectural design; urban design

Special Issue Information

Dear Colleagues,

Cities, and especially their centres, are facing unprecedented pressures. Changing patterns of behaviour in work, retail and leisure as well the Fourth Industrial Revolution (4IR) are challenging traditional approaches to managing urban adaptation and regeneration.  

The recent pandemic has highlighted the need to better understand and manage the relationships between buildings and the physical fabric of cities and public spaces, and between office and home spaces. The 4IR represents a fundamental change in the way we live, work and relate to one another (World Economic Forum, 2023), transforming not only the ways in which things are made but also the space in which business operates. 

Urban planning and policy responses such as the 15-minute city and support for more agile working in turn add new challenges to the future of city centres and urban systems, risking hollowing out the downtown space. 

To engage with and understanding the impact of such rapid transformations in cities and their cores as they respond to such complex challenges, there is a greater need for new cross-disciplinary collaboration and integration. There is an even greater need for inter-disciplinary collaboration with those involved in urban studies and urban design, working together with property developers and construction professionals to plan and manage more resilient and regenerative cities and to mitigate and adapt to the effect of these changes in response.

This Special Issue seeks robust and original research on the future of cities and their downtowns. Contributions are welcome on any relevant topic and disciplinary perspective, specifically focused on the city centre or on the relationships between the core and the wider urban system. Papers exploring responses in city centres to change, such as the adaptation and repurposing of buildings, and the connections between buildings and public spaces are particularly welcome, as are studies considering policy and regulation. Such themes could include smart cities and digital construction, zero-carbon city centres and buildings, the futureproofing of downtowns, repurposing and lifecycle perspectives for buildings and spaces, governance and funding, as well as planning, spatial equity, inclusiveness and fair transitions. 

Dr. Robert Rogerson
Prof. Dr. Bob Giddings
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Buildings is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • city centre
  • transformation
  • urban planning
  • public space
  • repurposing
  • adaptation
 

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Published Papers (2 papers)

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Research

31 pages, 83696 KiB  
Article
Priority Intervention Evaluation of Community Regeneration in Megacities Based on the Business Improvement District (BID) Model: A Case Study of Tianjin, China
by Wenjia Bai, Mingyu Chen, Fazhong Bai and Jingtao Huang
Buildings 2024, 14(8), 2263; https://doi.org/10.3390/buildings14082263 - 23 Jul 2024
Viewed by 740
Abstract
This study aims to start from the macroscale of the megacity, explore a top-down operational technical path from the identification of community regeneration units as the evaluation objects to the BID priority intervention evaluation, and then propose differentiated community regeneration strategies based on [...] Read more.
This study aims to start from the macroscale of the megacity, explore a top-down operational technical path from the identification of community regeneration units as the evaluation objects to the BID priority intervention evaluation, and then propose differentiated community regeneration strategies based on the BID model. In the post-epidemic era, it is necessary for global megacities to take new measures in urban regeneration to respond to worldwide changes and challenges. As an innovative tool to promote central city revitalization, the BID model has played an important role in community transformation. In the context of the continuous decentralization of population and industry in China’s megacities, it is urgent to explore the technical path to apply the BID model to local community regeneration. Given the shortcomings of existing studies in the method to identify the scope of BID implementation and evaluate intervention priorities, this study takes Tianjin, a megacity in China, as an example and uses DBSCAN (density-based spatial clustering of applications with noise) and service area analysis to define the community regeneration units with commercial agglomeration characteristics as the objects. Then, the BID priority intervention evaluation system is constructed from the two measurement aspects of the intervention potential and the necessity of community regeneration to classify the BID intervention priorities of community regeneration units. The main conclusions are as follows: 1. When the DBSCAN analysis parameters take the minimum number of elements as 30 and the search distance as 120 m, the result is most suitable for identifying community units with commercial agglomeration of the study area; 2. Population vitality, especially working and residential population density, is the key factor affecting BID intervention potential, while road network density is an important indicator for determining the necessity of community regeneration; 3. Community regeneration units with high BID priority levels need to develop differentiated regeneration strategies combining their BID intervention potential, regeneration necessity characteristics, and location attributes. These conclusions can provide references for the governments of megacities to screen and establish BIDs. Full article
(This article belongs to the Special Issue Future Cities and Their Downtowns: Urban Studies and Planning)
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31 pages, 8218 KiB  
Article
Evaluating and Comparing Human Perceptions of Streets in Two Megacities by Integrating Street-View Images, Deep Learning, and Space Syntax
by Yalun Lei, Hongtao Zhou, Liang Xue, Libin Yuan, Yigang Liu, Meng Wang and Chuan Wang
Buildings 2024, 14(6), 1847; https://doi.org/10.3390/buildings14061847 - 18 Jun 2024
Cited by 1 | Viewed by 1218
Abstract
Street quality plays a crucial role in promoting urban development. There is still no consensus on how to quantify human street quality perception on a large scale or explore the relationship between street quality and street composition elements. This study investigates a new [...] Read more.
Street quality plays a crucial role in promoting urban development. There is still no consensus on how to quantify human street quality perception on a large scale or explore the relationship between street quality and street composition elements. This study investigates a new approach for evaluating and comparing street quality perception and accessibility in Shanghai and Chengdu, two megacities with distinct geographic characteristics, using street-view images, deep learning, and space syntax. The result indicates significant differences in street quality perception between Shanghai and Chengdu. In Chengdu, there is a curvilinear distribution of the highest positive perceptions along the riverfront space and a radioactive spatial distribution of the highest negative perceptions along the ring road and main roads. Shanghai displays a fragmented cross-aggregation and polycentric distribution of the streets with the highest positive and negative perceptions. Thus, it is reasonable to hypothesize that street quality perception closely correlates with the urban planning and construction process of streets. Moreover, we used multiple linear regression to explain the relationship between street quality perception and street elements. The results show that buildings in Shanghai and trees, pavement, and grass in Chengdu were positively associated with positive perceptions. Walls in both Shanghai and Chengdu show a consistent positive correlation with negative perceptions and a consistent negative correlation with other positive perceptions, and are most likely to contribute to the perception of low street quality. Ceilings were positively associated with negative perceptions in Shanghai but are not the major street elements in Chengdu, while the grass is the opposite of the above results. Our research can provide a cost-effective and rapid solution for large-scale, highly detailed urban street quality perception assessments to inform human-scale urban planning. Full article
(This article belongs to the Special Issue Future Cities and Their Downtowns: Urban Studies and Planning)
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