A multi-criteria decision analysis of solid waste treatment options in Pakistan: Lahore City—a case in point

Ali, Yousaf; Aslam, Zain; Dar, Hammad Sajid; Mumtaz, Ubaid Ullah

doi:10.1007/s10669-018-9672-y

Cited by 26 publications

(10 citation statements)

References 38 publications

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“…Finally, in scenario 8, CCS is deployed to reduce the GHG emission during energy recovery processes. Greenhouse gas (GHG) emissions (Arıkan et al, 2017;Hokkanen & Salminen, 1997;Pires et al, 2011;Vučijak et al, 2016;Yap & Nixon, 2015) Energy recovery (Arıkan et al, 2017) Waste recovery (Arıkan et al, 2017) Distance related (Vego et al, 2008) Ecological footprint (Herva & Roca, 2013;Hung et al, 2007) Noise and dust (Ali et al, 2018) Geographical location (Khan & Faisal, 2008) Leachate (Ali et al, 2018) Hygienic conditions that have an impact on human health (Hokkanen & Salminen, 1997;Hung et al, 2007;Khan & Faisal, 2008;Pires et al, 2011;Vučijak et al, 2016;Yap & Nixon, 2015) Economic Operation cost (Ali et al, 2018;Arıkan et al, 2017;Coban et al, 2018;Hokkanen & Salminen, 1997;Pires et al, 2011;Vego et al, 2008;Vučijak et al, 2016;Yap & Nixon, 2015) Pre-treatment cost (Yap & Nixon, 2015) Net cost per ton (Hokkanen & Salminen, 1997) Budget control (Khan & Faisal, 2008) Opportunity cost (Ali et al, 2018) Transportation cost (Ali et al, 2018;Arıkan et al, 2017;Coban et al, 2018) Capital cost (Ali et al, 2018;<...>…”

Section: Best-worst Methodsmentioning

confidence: 99%

Determining Optimal Municipal Solid Waste Management Scenario Based on Best-Worst Method

Jia

Jin

et al. 2021

Journal of Environmental Engineering and Landscape Management

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Municipal solid waste (MSW) management is one of the most important issues in urban environments, especially in developing countries. In this work, a comprehensive assessment framework for MSW management is proposed to evaluate and screen the optimal scenario. The best-worst method (BWM) is utilized to determine the optimal weight of each criterion for each disposal scenario. However, the original BWM model is difficult to be solved globally. A linear model is presented to solve the model and an interval model is employed to verify the optimality of the linear model. The results indicate that the results of the linear model and interval model are consistent. A case study of MSW disposal in Qingdao City is used to demonstrate the application of the proposed method. The results indicate that a combination of landfilling, incineration technology with energy recovery facility is preferred for the current MSW management in Qingdao from the chosen criteria. The framework proposed in this work can be assisted to help the decision-makers to identify the priority sequence of MSW management scenarios.

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Section: Best-worst Methodsmentioning

confidence: 99%

Determining Optimal Municipal Solid Waste Management Scenario Based on Best-Worst Method

Jia

Jin

et al. 2021

Journal of Environmental Engineering and Landscape Management

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“…The wide implementation of CE principles in waste management would help achieve sustainable development goals in the country (Tariq et al, 2021 ). However, a joint effort is needed where all the stakeholders including the society have to play their part (Ali et al 2018a , 2018b ). Recent literature on the waste management sector of Pakistan is limited and does not concentrate on the CE trend.…”

Section: Literature Reviewmentioning

confidence: 99%

A facilitating framework for a developing country to adopt smart waste management in the context of circular economy

Khan

Ali

2021

Environ Sci Pollut Res

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“…Lahore is facing rapid urbanization where the population is growing at the rate of 3.2%. This rate is even larger than the average population increase in Pakistan, and hasty urban development is causing several issues such as temperature increases, which creates a suitable environment for dengue mosquitoes [28,[75][76][77]. Naqvi et al [28] explained climate and dengue synergism, reflecting the significance of climatic conditions for dengue transmission in Lahore.…”

Section: Study Areamentioning

confidence: 99%

Integrating Spatial Modelling and Space–Time Pattern Mining Analytics for Vector Disease-Related Health Perspectives: A Case of Dengue Fever in Pakistan

Naqvi

Sajjad

Waseem

et al. 2021

IJERPH

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The spatial–temporal assessment of vector diseases is imperative to design effective action plans and establish preventive strategies. Therefore, such assessments have potential public health planning-related implications. In this context, we here propose an integrated spatial disease evaluation (I-SpaDE) framework. The I-SpaDE integrates various techniques such as the Kernel Density Estimation, the Optimized Hot Spot Analysis, space–time assessment and prediction, and the Geographically Weighted Regression (GWR). It makes it possible to systematically assess the disease concentrations, patterns/trends, clustering, prediction dynamics, and spatially varying relationships between disease and different associated factors. To demonstrate the applicability and effectiveness of the I-SpaDE, we apply it in the second largest city of Pakistan, namely Lahore, using Dengue Fever (DF) during 2007–2016 as an example vector disease. The most significant clustering is evident during the years 2007–2008, 2010–2011, 2013, and 2016. Mostly, the clusters are found within the city’s central functional area. The prediction analysis shows an inclination of DF distribution from less to more urbanized areas. The results from the GWR show that among various socio-ecological factors, the temperature is the most significantly associated with the DF followed by vegetation and built-up area. While the results are important to understand the DF situation in the study area and have useful implications for public health planning, the proposed framework is flexible, replicable, and robust to be utilized in other similar regions, particularly in developing countries in the tropics and sub-tropics.

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A multi-criteria decision analysis of solid waste treatment options in Pakistan: Lahore City—a case in point

Cited by 26 publications

References 38 publications

Determining Optimal Municipal Solid Waste Management Scenario Based on Best-Worst Method

Determining Optimal Municipal Solid Waste Management Scenario Based on Best-Worst Method

A facilitating framework for a developing country to adopt smart waste management in the context of circular economy

Integrating Spatial Modelling and Space–Time Pattern Mining Analytics for Vector Disease-Related Health Perspectives: A Case of Dengue Fever in Pakistan

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