Building Eco-Friendly Cities: Government-Community Collaboration In Shaping Sustainable Urban Waste Management DOI Creative Commons
Wahab Tuanaya

Deleted Journal, Journal Year: 2024, Volume and Issue: 1(3), P. 281 - 292

Published: May 27, 2024

The development of eco-friendly cities necessitates collaboration between the government and communities in shaping sustainable urban waste management. issue presents a significant challenge efforts to enhance environmental quality public health areas. Well-managed not only reduces negative impacts but also creates new economic opportunities. In this context, research employs qualitative approach with in-depth interviews observation techniques examine management Ambon City. In-depth were conducted informants from City Environmental Waste Management Agency, while document studies utilized analyze information related issues city. findings indicate that is crucial for achieving success its residents require joint address issues, particularly due low level awareness regarding Increased community participation full support are necessary achieve clean, healthy, environments.

Language: Английский

Leveraging Smart City Technologies for Enhanced Real Estate Development: An Integrative Review DOI Creative Commons
Tarek Hatem Al-Rimawi, Michael Nadler

Smart Cities, Journal Year: 2025, Volume and Issue: 8(1), P. 10 - 10

Published: Jan. 7, 2025

This study aims to identify the added value of smart city technologies in real estate development, one most significant factors that would transform traditional into ones. In total, 16 utilized at both levels have been investigated. The research followed an integrative review methodology; is based on 168 publications. compiled results metadata analysis displayed state each technology’s values and usage scales. A total 131 were identified. These categorized life cycle sub-phases processes. Moreover, integration between these was revealed. proved are mature enough for practical use; therefore, developers, management, planners, experts should focus implementing them. City management invest Big Data geodata adopt several aspects required development. can influence stakeholders, enhance their decision-making which technology suit needs, provide recommendations who utilize Also, it provides a starting point stakeholders aim establish road map incorporating future estate.

Language: Английский

Citations

6

Resident action in smart waste management during landfill disclosure transition: Insights from Yogyakarta's smart city initiatives DOI Creative Commons
Sapta Suhardono, Chun‐Hung Lee, Thi Thanh Thuy Phan

et al.

Cleaner Production Letters, Journal Year: 2025, Volume and Issue: unknown, P. 100093 - 100093

Published: Jan. 1, 2025

Language: Английский

Citations

2

A comprehensive review integration of digitalization and circular economy in waste management by adopting artificial intelligence approaches: Towards a simulation model DOI
Seyed reza seyyedi, Elaheh Kowsari, Mohammad Gheibi

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 460, P. 142584 - 142584

Published: May 18, 2024

Language: Английский

Citations

14

Business Models Used in Smart Cities—Theoretical Approach with Examples of Smart Cities DOI Creative Commons
Radosław Wolniak, Bożena Gajdzik,

Michaline Grebski

et al.

Smart Cities, Journal Year: 2024, Volume and Issue: 7(4), P. 1626 - 1669

Published: July 1, 2024

This paper examines business model implementations in three leading European smart cities: London, Amsterdam, and Berlin. Through a systematic literature review comparative analysis, the study identifies analyzes various models employed these urban contexts. The findings reveal diverse array of models, including public–private partnerships, build–operate–transfer arrangements, performance-based contracts, community-centric innovation hubs, revenue-sharing outcome-based financing, asset monetization strategies. Each city leverages unique combination to address its specific challenges priorities. highlights role PPPs large-scale infrastructure projects, BOT arrangements transportation solutions, contracts driving efficiency accountability. It also explores benefits strategies enhancing sustainability, efficiency, livability cities. offers valuable insights for policymakers, planners, researchers seeking advance development worldwide.

Language: Английский

Citations

12

Temporal analysis of settlement areas and city footprints on construction and demolition waste quantification using Landsat satellite imagery DOI Creative Commons

Sagar Ray,

Kelvin Tsun Wai Ng,

Tanvir Shahrier Mahmud

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 105, P. 105351 - 105351

Published: March 14, 2024

Municipal solid waste management has seen a surge in the use of satellite imagery decision-making processes, yet its application to analyze quantitative variations construction and demolition (C&D) remains under-investigated. This study employs multivariate analysis comprehensively assess predict C&D generation four diverse urban jurisdictions Canada (Regina) USA (Seattle, Buffalo, Philadelphia). Factors such as settlement area expansion, economic activities, population growth significantly influence rates. Stepwise regression models tailored different city types, moderately populated (Group 1) highly 2), showcase acceptable predictive capabilities. For cities, area, average humidity, GDP are identified key predictors, while for unemployment rate, building permit value prove effective indicators. These models, characterized by R² values from 0.70 0.94, provide insights distinct demographic conditions, aiding planning. research underscores importance understanding dynamics empowers policymakers agencies with evidence-based strategies centers.

Language: Английский

Citations

11

Development of Smart Material Identification Equipment for Sustainable Recycling in Future Smart Cities DOI Open Access
Gaku Manago, Tadao Tanabe,

Kazuaki Okubo

et al.

Polymers, Journal Year: 2025, Volume and Issue: 17(4), P. 462 - 462

Published: Feb. 10, 2025

Waste recycling is critical for the development of smart cities. Local authorities are responsible disposal waste plastics, but extent material insufficient, and much generated incinerated. This conflicts with trend decarbonisation. Of particular note effects COVID-19 pandemic, during after which large quantities such as plastic containers packaging, were generated. In order to develop a sustainable city, we need an effective scheme where can separate materials before they taken local recyclers. other words, if identification be performed at place disposal, burden on recyclers reduced, city created. this study, developed demonstrated equipment made PET, PS, PP, PE using GaP THz sub-THz wavelengths. As basic information, used terahertz spectrometer sweep frequencies from 0.5 7 measure spectrum, transmittance rate was measured device. The device specific frequency below 0.14 THz. smaller, more carriable, less expensive semiconductor electronic than GaP. Moreover, sub-terahertz in compact, harmless human body, public environments. result, tested places supermarkets, office entrances, canteens. facilitate recycling. found that measuring devices designed identify PET PS components transparent packaging PP bottle caps, could effectively molecular weights, demonstrating new possibilities management systems With ability collect analyse data, these powerful tools pre-sorting.

Language: Английский

Citations

1

Sustainable waste collection optimization using electric vehicles DOI Creative Commons
David Peña, Bernabé Dorronsoro, Patricia Ruiz

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 105, P. 105343 - 105343

Published: March 16, 2024

Solid waste management is a crucial municipal service directly influencing urban livability. Optimizing refuse collection routes enhances efficiency and reduces costs. The recent introduction of fully electric trucks, boasting features like zero emissions, low noise, lower operating costs compared to diesel holds promise. However, their limited autonomy presents challenges that need addressing before widespread deployment. This study proposes realistic formulation for the routing problem with introducing electromobility constraints never considered in related works. goal find optimal covering all points while minimizing travel distance within vehicle battery capacity limits. An accurate energy consumption model presented, accounting route elevation, speed, operations, regenerative braking. Genetic algorithms are used solutions problem, as well well-known Clarke Wright heuristic comparison purposes. tested on six diverse instances reflecting real-world scenarios New York City (United States) Puerto Real (Spain). Results indicate genetic algorithm's superiority, yielding reduced requiring fewer state-of-the-art heuristic.

Language: Английский

Citations

5

Municipal Solid Waste Management Using Machine Learning: A Case Study in Sheger City, Koye Sub-city, Ethiopia DOI

Tsegaye Hordofa Gudeta,

Gudeta Tesema Mamo,

Yezeshawal Mengistu Neguse

et al.

European Journal of Theoretical and Applied Sciences, Journal Year: 2025, Volume and Issue: 3(2), P. 511 - 525

Published: April 11, 2025

Municipal Solid Waste Management is an increasingly critical challenge in urban areas, intensified by rapid urbanization, population growth, and evolving consumption patterns. This study investigates the application of machine learning techniques to predict municipal solid waste generation Sheger City, Koye Sub-city, Ethiopia, using data from 2009 2023. Three models, ARIMA, RF, LSTM, were employed forecast trends for period 2024–2028, considering various socio-economic demographic factors. Among LSTM demonstrated highest accuracy, with MSE 1.62 × 10⁸ tonnes, MAE 9,500 R² 0.93. These results outperformed ARIMA (MSE = 3.84 tonnes², 15,200 0.85) RF 2.91 12,800 0.89). The forecasts 8.5% increase total generation, 3,852,150 tonnes 2023 4,177,500 2028. Notable growth expected high-volume streams, including food (13.5% increase) plastic (8.9% increase). findings highlight urgent need enhanced management strategies, expanded recycling programs policy interventions. provides a robust framework leveraging models guide decisions, contributing more sustainable practices rapidly growing cities.

Language: Английский

Citations

0

Waste management in Doha: the potential of underground systems DOI
Bakhita Salem Almarri, Georgios Kapogiannis, Moheeb Abualqumboz

et al.

International Journal of Building Pathology and Adaptation, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 31, 2025

Purpose This study investigates the viability and benefits of implementing underground waste management systems in Doha response to city’s increasing production. It examines necessity, feasibility public opinion these systems, exploring perceived implementation barriers. Design/methodology/approach Adopting a convergent parallel design, separates quantitative qualitative data for thorough analysis. Non-probability random sampling based on Slovin’s formula targeted 385 participants, with 100 responses five in-depth interviews obtained. Data were analysed using SPSS NVivo, ensuring validity reliability through Cronbach’s alpha instrument pretesting. Findings The reveals varied perceptions among residents towards municipal zero initiatives, highlighting significant gap segregation practices at home low awareness disposal processes. Underground face barriers, including financial constraints limited knowledge about advanced technologies like Lusail City’s compressed air system. findings indicate strong support enhancing emphasize need better education strategic infrastructure investments. Originality/value research offers key insights decision-makers, improving understanding strategies Doha. connects theory practice promote sustainable effective solutions while challenges systems.

Language: Английский

Citations

0

A Flexible Waste Bin Number Allocation Plan Applied to Waste Transportation Electric Fleets in Smart Cities DOI
Shi Su, Jiawen Hu, Wenjun Li

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106223 - 106223

Published: Feb. 1, 2025

Language: Английский

Citations

0