Feature Papers in Urban Science

A special issue of Urban Science (ISSN 2413-8851).

Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 16292

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School of Geography, Planning and Environmental Management, Faculty of Science, University of Queensland, Brisbane 4072, Australia
Interests: transport planning; urban planing; regional planning; energy security; natural resource management

Special Issue Information

Dear Colleagues,

We are pleased to announce a Special Issue of Urban Science comprised of high-quality open access manuscripts by Editorial Board members, or those invited by the Editor-in-Chief or the Editorial Office. The papers included in this Special Issue will be published free of charge.

The purpose of this Special Issue is to publish manuscripts that are highly influential and insightful. We expect these papers to be widely read and highly influential within the field. All papers in this Special Issue will also be printed in bookform and will be well promoted. 

You are welcome to send short proposals for Special Issue feature papers to our Editorial Office ([email protected]) prior to submission.

Prof. Dr. Neil Sipe
Guest Editor

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Published Papers (4 papers)

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Research

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22 pages, 324 KiB  
Article
Toward Achieving Local Sustainable Development: Market-Based Instruments (MBIs) for Localizing UN Sustainable Development Goals
by Ying Zhou, Amelia Clarke and Stephanie Cairns
Urban Sci. 2022, 6(1), 24; https://doi.org/10.3390/urbansci6010024 - 15 Mar 2022
Cited by 5 | Viewed by 3576
Abstract
In recent years, sustainable community development has gained traction for addressing local environmental, social, and economic issues. Cities worldwide are committed to implementing sustainable community plans (SCPs) in their efforts to achieve sustainable development, and more recently, to localize the United Nations’ Sustainable [...] Read more.
In recent years, sustainable community development has gained traction for addressing local environmental, social, and economic issues. Cities worldwide are committed to implementing sustainable community plans (SCPs) in their efforts to achieve sustainable development, and more recently, to localize the United Nations’ Sustainable Development Goals (SDGs). Although there are over 1000 plans in Canada, a gap exists between creating these plans and implementing them. Integrating market-based instruments (MBIs) with traditional policy tools would help to diversify revenue generation and thus mitigate these constraints. This paper presents a new and comprehensive categorization of MBIs that aligns the locally applicable ones with the environmental aims of both SCPs and SDGs. The categorization framework has been tested through focus groups with key municipal staff from two Canadian communities. The new categorization framework aligned over 50 locally applicable MBIs with 8 different environmental topics and 12 SDGs. The paper presents a useful tool for implementing SCPs and SDGs and contributes to the understanding of MBIs for enabling local progress in sustainable development. Full article
(This article belongs to the Special Issue Feature Papers in Urban Science)
19 pages, 4280 KiB  
Article
Street Verge in Transition: A Study of Community Drivers and Local Policy Setting for Urban Greening in Perth, Western Australia
by Shania Hunt, Jeremy Maher, Mohammad Shahidul Hasan Swapan and Atiq Zaman
Urban Sci. 2022, 6(1), 15; https://doi.org/10.3390/urbansci6010015 - 25 Feb 2022
Cited by 5 | Viewed by 4932
Abstract
The United Nations’ Sustainable Development Goals (SDGs) are regarded as the key policy agenda for national, regional, and local government to combat climate change impacts and promote sustainable development. For example, in Perth and Peel metropolitan area, the capital city of Western Australia, [...] Read more.
The United Nations’ Sustainable Development Goals (SDGs) are regarded as the key policy agenda for national, regional, and local government to combat climate change impacts and promote sustainable development. For example, in Perth and Peel metropolitan area, the capital city of Western Australia, there has been a shift of policy setting from that of a sprawling city to a denser city, while maintaining and promoting its ecosystem services and achieving sustainable city goals. Residential verge gardens have been widely adopted in recent years by communities and local governments in the Perth metropolitan area. This study reviews the motivations and drivers for the uptake of verge gardens in metropolitan suburbs and identifies potential policy responses. The City of Bayswater local government area was surveyed for this research. The study considers a mixed-methods approach, including site auditing and a questionnaire survey for local residents who have transformed their verges. A total of 534 verge gardens were audited on residential lots, and 166 valid questionnaire responses were received from residents. The site-audit of the verge gardens in Bayswater found that native vegetation is the dominant verge garden of choice, followed by the ornamental garden, with food production (plants/vegetables) seeming to be the least popular option. Regarding the motivations and drivers, the study has found that social (e.g., aesthetics, flowers, social interactions, and social mimicry), environmental (e.g., attracting wildlife and birds and environmental practice waterwise garden), and personal (easy maintenance) drivers are the primary motivators for residents to adopt verge gardens. Whilst the on-ground surveys were prior to COVID-19, the article includes how this topic could relate to pandemic-resilient urban spaces. As local governments look towards supporting the sustainable outcome goals, the observations of this study will be helpful for developing local government policy and community programs in the promotion and uptake of verge gardens in Australian cities. Full article
(This article belongs to the Special Issue Feature Papers in Urban Science)
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12 pages, 1763 KiB  
Article
Industry Interconnectedness and Regional Economic Growth in Germany
by Shade T. Shutters, Holger Seibert, Bastian Alm and Keith Waters
Urban Sci. 2022, 6(1), 1; https://doi.org/10.3390/urbansci6010001 - 21 Dec 2021
Cited by 3 | Viewed by 3967
Abstract
Urban systems, and regions more generally, are the epicenters of many of today’s social issues. Yet they are also the global drivers of technological innovation, and thus it is critical that we understand their vulnerabilities and what makes them resilient to different types [...] Read more.
Urban systems, and regions more generally, are the epicenters of many of today’s social issues. Yet they are also the global drivers of technological innovation, and thus it is critical that we understand their vulnerabilities and what makes them resilient to different types of shocks. We take regions to be systems composed of internal networks of interdependent components. As the connectedness of those networks increases, it allows information and resources to move more rapidly within a region. Yet, it also increases the speed and efficiency at which the effects of shocks cascade through the system. Here we analyzed regional networks of interdependent industries and how their structures relate to a region’s vulnerability to shocks. Methodologically, we utilized a metric of economic connectedness called tightness which quantifies a region’s internal connectedness relative to other regions. We calculated tightness for German regions during the Great Recession, comparing it to each region’s economic performance during the shock (2007–2009) and during recovery (2009–2011). We find that tightness is negatively correlated with changes in economic performance during the shock but positively during recovery. This suggests that regional economic planners face a tradeoff between being more productive or being more vulnerable to the next economic shock. Full article
(This article belongs to the Special Issue Feature Papers in Urban Science)
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12 pages, 13276 KiB  
Technical Note
Rapid Damage Estimation of Texas Winter Storm Uri from Social Media Using Deep Neural Networks
by Yalong Pi, Xinyue Ye, Nick Duffield and on behalf of the Microsoft AI for Humanitarian Action Group
Urban Sci. 2022, 6(3), 62; https://doi.org/10.3390/urbansci6030062 - 13 Sep 2022
Cited by 3 | Viewed by 3013
Abstract
The winter storm Uri that occurred in February 2021 affected many regions in Canada, the United States, and Mexico. The State of Texas was severely impacted due to the failure in the electricity supply infrastructure compounded by its limited connectivity to other grid [...] Read more.
The winter storm Uri that occurred in February 2021 affected many regions in Canada, the United States, and Mexico. The State of Texas was severely impacted due to the failure in the electricity supply infrastructure compounded by its limited connectivity to other grid systems in the United States. The georeferenced estimation of the storm’s impact is crucial for response and recovery. However, such information was not available until several months afterward, mainly due to the time-consuming and costly assessment processes. The latency to provide timely information particularly impacted people in the economically disadvantaged communities, who lack resources to ameliorate the impact of the storm. This work explores the potential for disaster impact estimation based on the analysis of instant social media content, which can provide actionable information to assist first responders, volunteers, governments, and the general public. In our prototype, a deep neural network (DNN) uses geolocated social media content (texts, images, and videos) to provide monetary assessments of the damage at zip code level caused by Uri, achieving up to 70% accuracy. In addition, the performance analysis across geographical regions shows that the fully trained model is able to estimate the damage for economically disadvantaged regions, such as West Texas. Our methods have the potential to promote social equity by guiding the deployment or recovery resources to the regions where it is needed based on damage assessment. Full article
(This article belongs to the Special Issue Feature Papers in Urban Science)
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