Aggravating or alleviating? Smart city construction and urban inequality in China DOI
Zhen Yang, Weijun Gao, Qing Han

и другие.

Technology in Society, Год журнала: 2024, Номер 77, С. 102562 - 102562

Опубликована: Апрель 26, 2024

Язык: Английский

Optimal Water Management Strategies: Paving the Way for Sustainability in Smart Cities DOI Creative Commons
Ayat-Allah Bouramdane

Smart Cities, Год журнала: 2023, Номер 6(5), С. 2849 - 2882

Опубликована: Окт. 18, 2023

Global urbanization and increasing water demand make efficient resource management crucial. This study employs Multi-Criteria Decision Making (MCDM) to evaluate smart city strategies. We use representative criteria, employ objective judgment, assign weights through the Analytic Hierarchy Process (AHP), score strategies based on meeting these criteria. find that “Effectiveness Risk Management” criterion carries highest weight (15.28%), underscoring its pivotal role in strategy evaluation robustness. Medium-weight criteria include “Resource Efficiency, Equity, Social Considerations” (10.44%), “Integration with Existing Systems, Technological Feasibility, Ease of Implementation” (10.10%), “Environmental Impact” (9.84%) for ecological mitigation. “Community Engagement Public Acceptance” (9.79%) recognizes involvement, while “Scalability Adaptability” (9.35%) addresses changing conditions. “Return Investment” (9.07%) “Regulatory Policy Alignment” (8.8%) balance financial governance concerns. Two low-weight “Data Reliability” (8.78%) “Long-Term Sustainability” (8.55%), stress data accuracy sustainability. Highly weighted like “Smart Metering Monitoring, Demand Management, Behavior Change” Irrigation Systems” are particularly effective improving cities. However, medium-weighted (e.g., “Educational Campaigns Awareness”, “Policy Regulation”, “Rainwater Harvesting”, “Offshore Floating Photovoltaic Systems”, “Collaboration Partnerships”, “Graywater Recycling Reuse”, “Distributed Water Infrastructure”) low-weighted “Water Desalination”) also contribute can be combined higher-ranked ones create customized approaches each city’s unique context. research is significant because it urban complexity, offers a multi-criteria approach enhance traditional single-focused methods, evaluates cities comprehensively, provides criteria-weight-based allocation framework sustainable decisions, boosting resilience. Note results may vary specific needs constraints. Future studies could explore factors climate change consider alternative MCDM methods TOPSIS or ELECTRE evaluation.

Язык: Английский

Процитировано

37

A review of the state-of-the-art wastewater quality characterization and measurement technologies. Is the shift to real-time monitoring nowadays feasible? DOI Creative Commons
Alessandro Moretti,

Heidi Lynn Ivan,

Jan Škvařil

и другие.

Journal of Water Process Engineering, Год журнала: 2024, Номер 60, С. 105061 - 105061

Опубликована: Март 12, 2024

Efficient characterization of wastewater stream quality is vital to ensure the safe discharge or reuse treated (WW). There are numerous parameters employed characterize water quality, some required by directives (e.g. biological oxygen demand (BOD), total nitrogen (TN), phosphates (TP)), while others used for process controls flow, temperature, pH). Well-accepted methods assess these have traditionally been laboratory-based, taking place either off-line at-line, and presenting a significant delay between sampling result. Alternative can run in-line on-line, generally being more cost-effective. Unfortunately, often not accepted when providing information regulatory bodies. The current review aims describe available laboratory-based approaches compare them with innovative real-time (RT) solutions. Transitioning from RT measurements means obtaining valuable data, avoiding time delays, possibility optimize (WW) treatment management. A variety sensor categories examined illustrate general framework in which applications replace longer conventional processes, an eye toward potential drawbacks. enhancement be achieved through employment advanced soft-sensing techniques Internet Things (IoT), coupled machine learning (ML) artificial intelligence (AI).

Язык: Английский

Процитировано

16

Air quality and ventilation: exploring solutions for healthy and sustainable urban environments in times of climate change DOI Creative Commons
Iasmin Lourenço Niza, Ana Maria Bueno, Manuel Gameiro da Silva

и другие.

Results in Engineering, Год журнала: 2024, Номер unknown, С. 103157 - 103157

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

9

Connecting Cities: A Case Study on the Application of Morphological Shortest Paths DOI Open Access
Jorge-Luis Perez-Ramos, Selene Ramírez-Rosales, Daniel Canton-Enriquez

и другие.

Symmetry, Год журнала: 2025, Номер 17(1), С. 114 - 114

Опубликована: Янв. 13, 2025

Navigatingdensely connected networks can be complex due to the different connection structures present within a network. No explicit algorithms are designed specifically for this navigation, so heuristic approaches and existing network systems often employed. However, task become computationally asymmetrical, as complexity of creating representation city is lower than involved in identifying set feasible paths combinatorial order. This paper extends applicability morphological compute shortest path smart cities, driven by size vital communication infrastructure. As well known, infrastructure changes dynamically, particularly with evolving continuous population growth. Consequently, efficient trajectories quickly obsolete. The challenge computing best respond more growing comes high computational complexity. presents an application that uses discrete algorithm through approach. Specifically, it seeks identify trajectory densely populated based on density graph. By incorporating into path-search algorithms, we define new family methods operate spaces representation, resulting have requirements. Other well-known applications context include delivery resources, such managing electrical power consumption or minimizing time delays resource delivery. essential but classified NP problem, making appropriate scenario applying proposed navigate dense highlights problem finding one potential introduced algorithm. aims optimal graph representing city’s real scenario. discussion compares contrasts proposal other established approaches, highlighting advantages characteristics method.

Язык: Английский

Процитировано

1

Urban-rural disparities in low-carbon policy intensity and residents' willingness to pay in environmental sustainability DOI
Juan Luo,

Dang Rui,

Pucheng Lan

и другие.

Cities, Год журнала: 2025, Номер 159, С. 105795 - 105795

Опубликована: Фев. 12, 2025

Язык: Английский

Процитировано

1

ESG and IoT: Ensuring Sustainability and Social Responsibility in the Digital Age DOI
Federico Alberto Pozzi, Dwijendra Nath Dwivedi

Communications in computer and information science, Год журнала: 2023, Номер unknown, С. 12 - 23

Опубликована: Янв. 1, 2023

Язык: Английский

Процитировано

18

Assessing the Progress of Smart Cities in Saudi Arabia DOI Creative Commons
Abdulaziz Aldegheishem

Smart Cities, Год журнала: 2023, Номер 6(4), С. 1958 - 1972

Опубликована: Авг. 11, 2023

Information and communication technology is changing the manner in which urban policies are designed. Saudi Arabia bases its smart initiative on use of information technologies six dimensions, including economy, people, environment, living, mobility, governance to improve quality life sustainable environment. This study draws four Arabian cities Riyadh, Makkah, Jeddah, Medina, aims analyze their progress transformation into cities. The identified areas were assessed using 57 indicators based national international literature. results show that progressing successfully cities, with highest evident for economy lowest mobility all investigated Study findings Riyadh has made most city concluding been efficiently executing an aim be a unique model world.

Язык: Английский

Процитировано

17

AI will change EA practice – but are we ready for it? A call for discussion based on developments in collecting and processing biodiversity data DOI Creative Commons
Robin Sandfort, Birthe Uhlhorn, Gesa Geißler

и другие.

Impact Assessment and Project Appraisal, Год журнала: 2024, Номер 42(2), С. 200 - 208

Опубликована: Фев. 16, 2024

The opportunities and potential of advanced digitalisation involving the application Artificial Intelligence (AI) in Environmental Assessment (EA) are often mentioned across international studies. However, it is essential for us EA research practice to comprehensively grasp implications this transformation proactively prepare imminent changes. In context drawing on insights from biological sciences, letter examines established use, prospects risks these technological advances field species, habitat biodiversity related data its analysis. We aim initiate a thought-provoking dialogue diverse groups actors regarding practical AI EA, highlighting new roles evolving skills needed guarantee quality legal compliance. Central discussion origination data, alongside distribution responsibilities actors/stakeholders involved with regard collection, sharing interpretation. Key considerations integrity AI-supported systematically collected prevention manipulation. emphasise need re-evaluate education training programs, adapt practices, enhance decision-making processes as initial steps toward establishing focused agenda.

Язык: Английский

Процитировано

8

An approach to exploring the spatial distribution and influencing factors of urban problems based on Land use types DOI

Jianling Jiao,

Yaxin Jin,

Ranran Yang

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 104, С. 105321 - 105321

Опубликована: Фев. 29, 2024

Язык: Английский

Процитировано

8

Integrated energy informatics technology on microalgae-based wastewater treatment to bioenergy production: A review DOI
Kai Yu, Hwai Chyuan Ong, Halimah Badioze Zaman

и другие.

Journal of Environmental Management, Год журнала: 2024, Номер 368, С. 122085 - 122085

Опубликована: Авг. 14, 2024

Язык: Английский

Процитировано

8