kaz29Вестник Казахстанско-Британского технического университетаHerald of the Kazakh-British Technical University1998-66882959-8109Казахстанско-Британский Технический Университет10.55452/1998-6688-2025-22-4-456-468kaz29-2316Research ArticleЭКОНОМИКА И БИЗНЕСECONOMY AND BUSINESSВНЕДРЕНИЕ ПОКАЗАТЕЛЕЙ УСТОЙЧИВОСТИ В ТРАДИЦИОННУЮ СИСТЕМУ МОНИТОРИНГА И КОНТРОЛЯ СТРОИТЕЛЬНЫХ ПРОЕКТОВ: ПОДХОД НА ОСНОВЕ МЕТОДА ОСВОЕННОГО ОБЪЕМАADAPTING SUSTAINABILITY METRICS INTO TRADITIONAL MONITORING AND CONTROL SYSTEMS OF CONSTRUCTION PROJECTS: AN EARNED VALUE MANAGEMENT APPROACHhttps://orcid.org/0009-0006-4525-4399ШахН.ShahN.

докторант

г. Алматы

 PhD Student

Almaty

n_shah@kbtu.kzhttps://orcid.org/0009-0000-6953-026XАлиТ.AliT.

профессор

г. Джамшоро

Professor

Jamshoro

vc@admin.muet.edu.pkКазахстанско-Британский технический университетКазахстанKazakh-British Technical UniversityKazakhstanМехранский университет инженерии и технологииПакистанMehran University of Engineering & TechnologyPakistan202523122025224456468Copyright © Шах Н., Али Т., 20252025Шах Н., Али Т.Shah N., Ali T.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://vestnik.kbtu.edu.kz/jour/article/view/2316

Интеграция устойчивого развития в системы контроля строительных проектов стала насущной необходимостью из-за растущего давления на окружающую среду и ресурсы в процессе реализации инфраструктурных проектов по всему миру. В то время как традиционное управление освоенной стоимостью (Earned Value Management, EVM) используется для отслеживания затрат и графика выполнения, оно не учитывает показатели экологической и ресурсной эффективности, которые становятся все более значимыми для результатов проекта. В данной статье предлагается комплексная структура EVM, включающая три показателя устойчивого развития: выбросы углекислого газа (Carbon Emissions, CE), потребление энергии (Energy Consumption, EC) и потери материалов (Material Waste, MW) при оценке эффективности проекта. Использованная модель множественной линейной регрессии (Multiple Linear Regression, MLR) основана на девяти месяцах фактической эксплуатационной истории проекта Малир Экспрессвей в Карачи, Пакистан, который является крупномасштабным общественным инфраструктурным проектом. Результаты показывают, что переменные устойчивого развития играют значительную роль в определении индекса эффективности затрат (Cost Performance Index, CPI) и индекса эффективности графика (Schedule Performance Index, SPI). Предложенная модель улучшает процесс принятия решений, поскольку заинтересованные стороны проекта могут одновременно контролировать финансовые и экологические аспекты. Ее методология практически применима к развитию общественной инфраструктуры и станет отправной точкой для будущей разработки рамок устойчивого управления освоенной стоимостью (Sustainable Earned Value Management).

Integration of sustainability in construction projects control systems has emerged as an urgent need due to the growing pressure in the environment and the resources toward development of infrastructure projects globally. Whereas traditional Earned Value Management (EVM) has been embraced to track cost and schedule, the performance, it fails to integrate environmental and resource-efficiency indicators that are becoming more significant in affecting the project outcomes. This paper suggests a comprehensive EVM framework, which incorporates three sustainability measures of Carbon Emissions (CE), Energy Consumption (EC) and Material Waste (MW) in the project performance evaluation. The Multiple Linear Regression (MLR) model used, based on nine months of actual operational history of Malir Expressway project in Karachi, Pakistan which is an ongoing large-scale public infrastructure project. The findings indicate that the variables of sustainability play a significant role in determining the Cost Performance Index (CPI) and Schedule Performance Index (SPI). The suggested model enhances the decision-making process because the project stakeholders can monitor the financial and environmental aspects at the same time. Its methodology is practically applicable to the public infrastructure development and will be a base point to the future development of Sustainable Earned Value Management frameworks.

показатели устойчивостиметод освоенного объемарегрессионный анализконтроль проектаиндикаторы зеленого строительстваМалир ЭкспрессвейSustainability MetricsEarned Value ManagementRegression AnalysisProject ControlGreen Construction IndicatorsMalir ExpresswayReferencesUnited Nations Environment Programme (UNEP). 2022 Global Status Report for Buildings and Construction. UNEP, 2022. URL: https://www.unep.org/resources/publication/2022-globalstatus-report-buildings-and-construction.United Nations Environment Programme (UNEP). 2022 Global Status Report for Buildings and Construction. UNEP, 2022. URL: https://www.unep.org/resources/publication/2022-globalstatus-report-buildings-and-construction.De Marco, A., & Narbaev, T. Earned value-based performance monitoring of facility construction projects. Journal of Facilities Management, 11(1), 69–80 (2013). https://doi.org/10.1108/14725961311301475.De Marco, A., & Narbaev, T. Earned value-based performance monitoring of facility construction projects. Journal of Facilities Management, 11(1), 69–80 (2013). https://doi.org/10.1108/14725961311301475.Aramali, V., Gibson, G.E., el Asmar, M., & Cho, N. Earned Value Management System state of practice: Identifying critical subprocesses, challenges, and environment factors of a highperforming EVMS. Journal of Management in Engineering, 37(4), 04021031 (2021). https://doi.org/10.1061/(ASCE)ME.1943-5479.0000925.Aramali, V., Gibson, G.E., el Asmar, M., & Cho, N. Earned Value Management System state of practice: Identifying critical subprocesses, challenges, and environment factors of a highperforming EVMS. Journal of Management in Engineering, 37(4), 04021031 (2021). https://doi.org/10.1061/(ASCE)ME.1943-5479.0000925.Koke, B., & Moehler, R.C. Earned Green Value management for project management: A systematic review. Journal of Cleaner Production, 230, 180–197 (2019). https://doi.org/10.1016/j.jclepro.2019.05.079.Koke, B., & Moehler, R.C. Earned Green Value management for project management: A systematic review. Journal of Cleaner Production, 230, 180–197 (2019). https://doi.org/10.1016/j.jclepro.2019.05.079.Anbari, M.B., Moehler, R.C., & Gholamreza, S.F. Sustainability assessment in construction projects: A sustainable earned value management model under uncertain and unreliable conditions. Environment Systems and Decisions, 44(1), 45–68 (2024). https://doi.org/10.1007/s10669-023-09913-2.Anbari, M.B., Moehler, R.C., & Gholamreza, S.F. Sustainability assessment in construction projects: A sustainable earned value management model under uncertain and unreliable conditions. Environment Systems and Decisions, 44(1), 45–68 (2024). https://doi.org/10.1007/s10669-023-09913-2.Ottaviani, F.M., & De Marco, A. Multiple linear regression model for improved project cost forecasting. Procedia Computer Science, 196, 808–815 (2022). https://doi.org/10.1016/j.procs.2021.12.079.Ottaviani, F.M., & De Marco, A. Multiple linear regression model for improved project cost forecasting. Procedia Computer Science, 196, 808–815 (2022). https://doi.org/10.1016/j.procs.2021.12.079.İnan, T., Narbaev, T., & Hazır, Ö. A machine learning study to enhance project cost forecasting. IFACPapersOnLine, 55(10), 3286–3291 (2022). https://doi.org/10.1016/j.ifacol.2022.10.127.İnan, T., Narbaev, T., & Hazır, Ö. A machine learning study to enhance project cost forecasting. IFACPapersOnLine, 55(10), 3286–3291 (2022). https://doi.org/10.1016/j.ifacol.2022.10.127.Moshood, T.D., Rotimi, J.O.B., & Shahzad, W. Enhancing sustainability considerations in construction industry projects. Environment, Development and Sustainability (2024). https://doi.org/10.1007/s10668-02404946-2.Moshood, T.D., Rotimi, J.O.B., & Shahzad, W. Enhancing sustainability considerations in construction industry projects. Environment, Development and Sustainability (2024). https://doi.org/10.1007/s10668-02404946-2.Chen, L., Huang, L., Hua, J., Chen, Z., Wei, L., Osman, A. I., Fawzy, S., Rooney, D.W., Dong, L., & Yap, P.S. Green construction for low-carbon cities: a review. Environmental Chemistry Letters, 21(3), 1627– 1657 (2023). https://doi.org/10.1007/s10311-022-01544-4.Chen, L., Huang, L., Hua, J., Chen, Z., Wei, L., Osman, A. I., Fawzy, S., Rooney, D.W., Dong, L., & Yap, P.S. Green construction for low-carbon cities: a review. Environmental Chemistry Letters, 21(3), 1627– 1657 (2023). https://doi.org/10.1007/s10311-022-01544-4.Rajabi, S., El-Sayegh, S., & Romdhane, L. Identification and assessment of sustainability performance indicators for construction projects. Environmental and Sustainability Indicators, 15, 100193 (2022). https://doi.org/10.1016/j.indic.2022.100193.Rajabi, S., El-Sayegh, S., & Romdhane, L. Identification and assessment of sustainability performance indicators for construction projects. Environmental and Sustainability Indicators, 15, 100193 (2022). https://doi.org/10.1016/j.indic.2022.100193.Rajabi, S., El-Sayegh, S., & Romdhane, L. Project controls model for sustainable construction projects. Sustainability, 16(20), 9042 (2024). https://doi.org/10.3390/su16209042.Rajabi, S., El-Sayegh, S., & Romdhane, L. Project controls model for sustainable construction projects. Sustainability, 16(20), 9042 (2024). https://doi.org/10.3390/su16209042.Koke, B., & Moehler, R. C. Earned Green Value management for project management: A systematic review. Journal of Cleaner Production, 230, 180–197 (2019). https://doi.org/10.1016/j.jclepro.2019.05.079.Koke, B., & Moehler, R. C. Earned Green Value management for project management: A systematic review. Journal of Cleaner Production, 230, 180–197 (2019). https://doi.org/10.1016/j.jclepro.2019.05.079.Anbari, M.B., Moehler, R.C., & Gholamreza, S.F. Sustainability assessment in construction projects: A sustainable earned value management model under uncertain and unreliable conditions. Environment Systems and Decisions, 44, 45–68 (2024). https://doi.org/10.1007/s10669-023-09913-2.Anbari, M.B., Moehler, R.C., & Gholamreza, S.F. Sustainability assessment in construction projects: A sustainable earned value management model under uncertain and unreliable conditions. Environment Systems and Decisions, 44, 45–68 (2024). https://doi.org/10.1007/s10669-023-09913-2.Ottaviani, F.M., & De Marco, A. Multiple linear regression model for improved project cost forecasting. Procedia Computer Science, 196, 808–815 (2022). https://doi.org/10.1016/j.procs.2021.12.079.Ottaviani, F.M., & De Marco, A. Multiple linear regression model for improved project cost forecasting. Procedia Computer Science, 196, 808–815 (2022). https://doi.org/10.1016/j.procs.2021.12.079.Narbaev, T., & De Marco, A. An Earned Schedule-based regression model to improve cost estimate at completion. International Journal of Project Management, 32(6), 1007–1018 (2014). https://doi.org/10.1016/j.ijproman.2013.12.005.Narbaev, T., & De Marco, A. An Earned Schedule-based regression model to improve cost estimate at completion. International Journal of Project Management, 32(6), 1007–1018 (2014). https://doi.org/10.1016/j.ijproman.2013.12.005.Narbaev, T., Hazır, Ö., Khamitova, B., & Talgat, S. A machine learning study to improve the reliability of project cost estimates. International Journal of Production Research, 62(12), 4372–4388 (2024). https://doi.org/10.1080/00207543.2023.2262051.Narbaev, T., Hazır, Ö., Khamitova, B., & Talgat, S. A machine learning study to improve the reliability of project cost estimates. International Journal of Production Research, 62(12), 4372–4388 (2024). https://doi.org/10.1080/00207543.2023.2262051.Samoilov, A., Narbaev, T., Castelblanco, G., & Mukashev, Y. Evaluating public–private partnership dynamics: The Kazakhstan toll road case. Eurasian Journal of Economic and Business Studies, 68(1), 131–142 (2024). https://doi.org/10.47703/ejebs.v68i1.2024.131.Samoilov, A., Narbaev, T., Castelblanco, G., & Mukashev, Y. Evaluating public–private partnership dynamics: The Kazakhstan toll road case. Eurasian Journal of Economic and Business Studies, 68(1), 131–142 (2024). https://doi.org/10.47703/ejebs.v68i1.2024.131.Samoilov, A., Osei-Kyei, R., Kussaiyn, M., Mamyrbayev, A., & Mukashev, Y. Cross-country comparison of risk factors in public–private partnerships in infrastructure development. Sustainability, 16(13), 5712 (2024). https://doi.org/10.3390/su16135712.Samoilov, A., Osei-Kyei, R., Kussaiyn, M., Mamyrbayev, A., & Mukashev, Y. Cross-country comparison of risk factors in public–private partnerships in infrastructure development. Sustainability, 16(13), 5712 (2024). https://doi.org/10.3390/su16135712.Yin, R. Case Study Research: Design and Methods. Sage Publications (2018).Yin, R. Case Study Research: Design and Methods. Sage Publications (2018).Project Management Institute (PMI). Practice Standard for Earned Value Management (2nd ed.). PMI (2011).Project Management Institute (PMI). Practice Standard for Earned Value Management (2nd ed.). PMI (2011).Durdyev, S., Zavadskas, E. K., Thurnell, D., Banaitis, A., & Ihtiyar, A. Sustainable construction across developing countries: Status and future directions. Journal of Cleaner Production, 264, 121–134 (2020). https://doi.org/10.1016/j.jclepro.2020.121–134Durdyev, S., Zavadskas, E. K., Thurnell, D., Banaitis, A., & Ihtiyar, A. Sustainable construction across developing countries: Status and future directions. Journal of Cleaner Production, 264, 121–134 (2020). https://doi.org/10.1016/j.jclepro.2020.121–134

The authors declare that there are no conflicts of interest present.