A Bibliometric Analysis of Mathematical Modelling for Sustainable Future in Library Information Science

Abstract

 This initiative investigates the use of mathematical modelling and data-driven approaches for advancing sustainability in libraries’ infrastructural and operational activities. This is accomplished through using data-driven analytic tools that facilitate the optimization of energy consumption with lighting, heating and cooling systems – providing the most cost-effective operations for businesses while being eco-smart. Algorithmic design methodologies ensure the spatial planning is optimized to drive efficient use of natural light and create the most from the space to avoid overuse of man-made inputs. In addition, statistical forecasting models help to anticipate user demands for physical and digital materials, enhancing the library's resource allocation and cutting down on paper waste.