The driving factor for raising urban community awareness in waste management, to reduce waste during the COVID-19 pandemic DOI Creative Commons
Sinan Vidi Lazuardi, Herdis Herdiansyah, Rotimi Williams Olatunji

и другие.

Spatium, Год журнала: 2023, Номер 50, С. 55 - 65

Опубликована: Янв. 1, 2023

Solid waste management is a complex issue, and this was especially true during the COVID-19 pandemic in Indonesia. Several challenges related to issue emerged because of pandemic, which countries with limited resources heavily relied on community participation. This study investigates factors that contribute collective action urban communities as solution raising awareness. adopted quantitative method incorporated four independent variables one dependent variable 4-point Likert scale questionnaire. The data were collected through survey using purposive sampling method. are proportional there no frame study. An analysis 200 samples Jakarta reveals participation, social norms, influence, socioeconomic status impact action. However, result from an ordinal regression only shows participation influence significant corresponding odds ratios .263/.379 .053/.168 for every one-unit increase. concludes higher will likely affect people?s management. Policies programs incorporating can be implemented based findings tackle awareness issues.

Язык: Английский

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

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 105, С. 105351 - 105351

Опубликована: Март 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.

Язык: Английский

Процитировано

12

Sustainability, profitability, and resiliency of the fast fashion industries during a pandemic DOI Creative Commons

Meriem Meskini,

Tanvir Shahrier Mahmud,

Sagar Ray

и другие.

Energy & Environment, Год журнала: 2024, Номер unknown

Опубликована: Март 20, 2024

The size of the global textile market was estimated at nearly one trillion USD in 2021 and circularity fashion items are utmost practical economic interests. Many postconsumer wastes not recycled, sent to landfills for permanent disposal. This study examines profitability selected companies compares financial performance through weighted average net profit margin business characteristics. 10 divided into 2 groups (conventional sustainability) analysis. conventional have a total sales revenue approximately 23 times higher than that sustainability companies. ratio industry averaging +4.7 during 5-year period, much group. Sustainability is emerging appears more sensitive fluctuations expenses COVID lockdowns. Net negative group 2022, aids such as government initiatives incentive programs may be critical growth sector. Both positive relations between number employees shares, respectively. results suggest has opportunities profitable by adopting socially responsible goals.

Язык: Английский

Процитировано

6

Modeling of municipal waste disposal behaviors related to meteorological seasons using recurrent neural network LSTM models DOI
Kenneth K. Adusei, Kelvin Tsun Wai Ng, Nima Karimi

и другие.

Ecological Informatics, Год журнала: 2022, Номер 72, С. 101925 - 101925

Опубликована: Ноя. 18, 2022

Язык: Английский

Процитировано

21

A multi-objective multi-criteria decision-making approach for sustainable vaccine distribution, inventory control (R,s,S policy), and waste management considering risk assessment, a case study DOI

Yasamin Sadat Babaei,

Shiva Malekkhouyan,

Amir Aghsami

и другие.

Sustainable Cities and Society, Год журнала: 2023, Номер 96, С. 104670 - 104670

Опубликована: Май 27, 2023

Язык: Английский

Процитировано

12

A cross-jurisdictional comparison on residential waste collection rates during earlier waves of COVID-19 DOI Open Access

Tanvir Shahrier Mahmud,

Kelvin Tsun Wai Ng, Mohammad Mehedi Hasan

и другие.

Sustainable Cities and Society, Год журнала: 2023, Номер 96, С. 104685 - 104685

Опубликована: Май 28, 2023

Язык: Английский

Процитировано

12

Citizen involvement in reducing end-of-life product waste in Mexico City DOI Open Access
Gurusamy Kutralam-Muniasamy,

V.C. Shruti,

Fermín Pérez‐Guevara

и другие.

Sustainable Production and Consumption, Год журнала: 2023, Номер 41, С. 167 - 178

Опубликована: Авг. 17, 2023

Язык: Английский

Процитировано

12

Impacts of nested forward validation techniques on machine learning and regression waste disposal time series models DOI
Lan Vu, Kelvin Tsun Wai Ng, Amy Richter

и другие.

Ecological Informatics, Год журнала: 2022, Номер 72, С. 101897 - 101897

Опубликована: Ноя. 5, 2022

Язык: Английский

Процитировано

19

The use of Google community mobility reports to model residential waste generation behaviors during and after the COVID-19 lockdown DOI

Tanvir Shahrier Mahmud,

Kelvin Tsun Wai Ng,

Sagar Ray

и другие.

Sustainable Cities and Society, Год журнала: 2023, Номер 99, С. 104926 - 104926

Опубликована: Сен. 9, 2023

Язык: Английский

Процитировано

11

Insights into the urban municipal solid waste generation during the COVID-19 pandemic from machine learning analysis DOI
Shuyan Wan, Mazdak Nik‐Bakht, Kelvin Tsun Wai Ng

и другие.

Sustainable Cities and Society, Год журнала: 2023, Номер 100, С. 105044 - 105044

Опубликована: Ноя. 7, 2023

Язык: Английский

Процитировано

11

The use of efficiency metrics for cross-jurisdictional assessment of household hazardous waste collection and recycling DOI

Sharmin Jahan Mim,

Amy Richter,

Arash Gitifar

и другие.

Journal of Cleaner Production, Год журнала: 2025, Номер unknown, С. 145420 - 145420

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0