Urban Resources and Environment
A special issue of Urban Science (ISSN 2413-8851).
Deadline for manuscript submissions: closed (30 August 2023) | Viewed by 15323
Special Issue Editors
Interests: water resources; climate change; infiltration; vortex tube; silt ejectors; streamflow; road accident analysis; mechanical properties of concrete-based materials; artificial neural network; fuzzy logic; adaptive neurofuzzy inference system; random forest; M5P; random tree; bagging; stochastic; support vector machine; Gaussian process; regression; generalized neural network; multivariate adaptive regression splines; group method of data handling
Interests: artificial intelligence techniques; big data; data analysis; access control; IoT; digital management system; cloud computing; authentication
Special Issue Information
Dear Colleagues,
The Special Issue of Urban Science invites you to contribute to original research papers on “Urban Resources and Environment”. Cities around the world are facing challenges linked to population growth; consumption of resources has increased exponentially due to rapid urbanization. Similar to living organisms, cities have always required resources and energy to survive. However, technological development and population growth have consequently led to increasing urban inflows, thus deeply changing urban relations with the environment. For the expansion of cities land, water, energy, fuel for vehicles, etc., are required. In a planet with limited resources, the challenge is to find new resources as well as improve the way we use them and the lifestyles that they support, or in other words, to plan strategies to generate more value and higher quality of life with lesser input. It is well known that cities depend on imports of external resources; however, they also benefit from internal resources and ecosystem services. Based on this framework, urgent efforts are needed that explore crucial urban issues that have not yet been adequately investigated. Systematic resources management is required to actually move toward the goal of sustainable cities. The development of new and sustainable materials is crucial for urban cities. In the last few decades, machine learning and theoretical simulation techniques have been successfully used to solve complex problems. We are thus looking toward machine learning techniques and theoretical simulation techniques in urban resources. The Guest Editors of this Special Issue encourage submissions on sustainable materials, resources, environment, and applications of machine learning techniques in the field of urban resources, materials, and the environment.
Dr. Parveen Sihag
Dr. Saurabh Rana
Dr. Kulwinder Singh
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. Urban Science is an international peer-reviewed open access quarterly 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 1600 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
- water quality
- air quality
- construction materials
- infrastructure
- vehicle analysis
- urban planning and management
- energy
- food
- sustainable management of non-renewable urban resources
- machine learning techniques
- theoretical calculations
- big data
- cloud computing
- Internet of Things (IOT)
- characterization and applications of materials
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