Handling real-world data is crucial for addressing various problems and obstacles in the construction industry. Nonetheless, incorporating real-world data is not always achievable. The integration of BIM, GIS, and Web environments is a promising research field that offers numerous benefits in the construction industry for solving this problem. The integration of BIM models, 3D real-world representation, a connection of GIS databases, and geospatial analysis are among the advantages achieved with such integration. The integration process faces many obstacles, e.g., interoperability issues, standardisation, and methods for BIM model processing. Many different techniques and methods to solve the most pressing issues have been proposed in recent years. However, the existing research findings presented in the state-of-the-art are insufficient to cover all issues and gaps in the integration process. This PhD dissertation presents a comprehensive analysis of the revealed issues and gaps, proposes novel methods and techniques for solving the most significant ones, implements the results of the developments in a Web-based spatial decision-support system and solves several fundamental problems in the construction field. The first section of the dissertation reviews the state-of-the-art using bibliometric analysis to determine the most significant issues and gaps, as well as the main focuses in integrating BIM, GIS, and Web environments. Based on the identified gaps and specified problems, related scientific articles were analysed, revealing and investigating integration and interoperability problems, property attractiveness and building location problems, geospatial analysis, crane selection and operation problems. The second section presents novel methods and techniques developed in this dissertation aimed at addressing the identified issues and outlines the main research outcomes. This chapter covers multiple developments, including a method for determining relationships between objects in BIM models and recalculating coordinates for improved BIM model processing in a Web environment. The section also proposes a multi-criteria decision-making analysis, a method for visibility analysis based on the mathematical calculation of view, a methodology for crane selection and operation based on the developed visibility analysis, and a methodology for automatic data collection that addresses building location problem and multi-criteria decision-making analysis. The third section presents an innovative Web-based spatial decision-support system that implements all methods and techniques developed in this dissertation. Its applicability and efficiency are demonstrated by a case study, where multiple problems in the construction field can be solved by the proposed approach of integrating BIM, GIS and Web environments.