Environmental Industry Letters

Optimizing Dynamic Pricing Strategies for Ride-Hailing Services in Competitive Tourist Markets: A Case Study of Bolt in Málaga, Spain

Sina Attari — 2025-11-17

This study presents an innovative approach to optimizing dynamic pricing strategies for ride-hailing services, focusing on Bolt’s operations in Málaga, Spain. Leveraging mathematical modeling and real-time data analysis, the research evaluates Bolt's pricing strategies to enhance competitiveness, especially in tourist-dense regions. The proposed model integrates demand-supply dynamics, temporal factors, and location-based considerations to ensure balance between affordability for customers and profitability for drivers. Additionally, the study emphasizes the importance of accessible and reliable pricing, tailored to the expectations of international tourists accustomed to using ride-hailing platforms in their home countries. The findings highlight the interplay between pricing strategies and customer retention, highlighting how Bolt can leverage adaptive pricing models to outperform traditional taxis and competitors like Uber. The research underscores the significance of aligning pricing strategies with market conditions, tourist demands, and operational challenges unique to Málaga’s seasonal fluctuations. By implementing these strategies, Bolt can optimize its market performance, ensure sustainable growth, and reinforce customer loyalty in competitive urban mobility landscapes.

Integrated Sensitivity and Monte Carlo Modeling of SSbD-Based Sustainability Metrics in Chemical Frameworks

Ghazal Golalizadeh — 2025-12-11

The increasing complexity of environmental and societal challenges necessitates the development of comprehensive and quantitative frameworks for sustainable chemistry assessment. Traditional approaches such as green chemistry and Circular Chemistry primarily emphasize efficiency and resource circulation but often lack integration of social, economic, and system-level dimensions. In this study, a quantitative evaluation framework based on Safe-and-Sustainable-by-Design (SSbD) principles is developed to compare the sustainability performance of five chemistry paradigms across eight dimensions, including environmental, social, economic, systems thinking, circularity, safety, sufficiency, and life-cycle considerations. A multi-dashboard computational model is implemented in MATLAB 2019b to visualize framework performance and structural relationships. Sensitivity analysis is conducted to evaluate the influence of dimension weighting on composite sustainability scores, while Monte Carlo simulation (N = 10,000) is applied to assess uncertainty and robustness. Results indicate that SSbD and Sustainable Chemistry consistently outperform traditional frameworks, with higher composite scores (~0.78–0.85) and lower sensitivity to parameter variation. Furthermore, SSbD demonstrates strong alignment with safety and life-cycle priorities, while maintaining robustness under uncertainty. The findings highlight the importance of integrating multiple sustainability strategies and provide a quantitative decision-support tool for advancing sustainable chemical design.

Enhancing Material Efficiency in Seismic-Resistant Reinforced Concrete Columns: A Sustainable Analytical Framework Using Axial-Shear-Flexure Interaction and Modified Compression Field Theory

Seyedalireza Mousavi — 2025-12-22

Reinforced concrete columns serve an important role in increasing the seismic resilience of buildings. However, modelling their nonlinear response to earthquake-induced loading presents a substantial problem. This research introduces a pioneering approach employing Axial-Shear-Flexure Interaction (ASFI) and Modified Compression Field Theory (MCFT) to anticipate the force-displacement behaviour and failure modes of reinforced concrete columns under lateral cyclic loading. The proposed analytical model undergoes validation against experimental findings from 11 column specimens subjected to increasing drift cycles until failure. Results demonstrate the model's ability to reasonably capture initial stiffness, yield displacement, and the progression of damage, exhibiting a close correlation with the experimental outcomes. Nevertheless, the study highlights certain limitations in simulating the post-yield displacement capacity, particularly for shear-critical columns, where the model tends to overestimate ductility in comparison to experimental tests. Overall, the analytical model displays promising performance and efficiency in evaluating column seismic response without necessitating extensive testing. The findings offer preliminary validation for the effectiveness of ASFI and MCFT-based techniques. The study emphasizes the need for refining material constitutive models and incorporating advanced shear and fracture mechanics to enhance accuracy. This research marks a significant stride toward the development of analytical tools capable of efficiently simulating the intricate nonlinear behaviours of columns under seismic excitations.