Development of AI model for gender differences in bicycle mobility of green urban areas for recreational and educational institutions of cycling behaviour, patterns and constraints of regular cyclists for Chandigarh city-an Indian perspective

Gender differences in cycling patterns, motivators, and constraints in Chandigarh, India, were studied by a team of researchers from Punjab Engineering College. The primary objective of this study is to explore the gender-specific differences in cycling behaviour, including the distinct patterns, motivators, and constraints experienced by male and female cyclists. A secondary objective is to provide actionable policy recommendations to enhance cycling infrastructure and promote cycling as a sustainable mode of transportation and recreation in Chandigarh. The researchers collected data on traffic flow at intersections in different zones, conducted online and field surveys, and analysed regulations and guidelines regarding Non-Motorized Transportation modes established by local governmental entities in Chandigarh. The study found that male cyclists predominantly used bicycles for commuting short distances efficiently, while females gravitated toward recreational cycling. Safety concerns were identified as a deterrent to daily commuting by bicycle, particularly affecting female cyclists. Dedicated cycling infrastructure and gender-sensitive policies were found to be vital for increasing female participation in cycling. Social norms and responsibilities also influenced women's cycling habits. Despite gender differences, both genders shared an interest in cycling for exercise and recreation. The study emphasized the need for gender-sensitive policies, urban planning initiatives, and improved safety measures to promote cycling as a sustainable and safe mode of transportation and recreation in Chandigarh. Improving safety protocols for cyclists of all genders is vital to reducing accidents and promoting cycling as a safe and practical mode of transportation within the city. The study provides evidence for making effective policy changes and infrastructure improvements to make Chandigarh more inclusive and biker-friendly. Promoting cycling as a sustainable mode of transportation and recreation among women is crucial for developing inclusive and sustainable urban areas. The researchers proposed machine learning techniques such as decision trees, random forest, and gradient boosting to examine the relationship between gender and cycling patterns, motivators, and constraints. Thematic Analysis was used on collected qualitative data to identify recurring themes, patterns, and nuances. Analysis of the current cycle tracks in Chandigarh was done using photographic surveys and public polls. The team identified a lack of data on gender differences in cycling in Chandigarh, India. Such data is essential to improve the conditions of cycle tracks in the city since men and women have different cycling requirements. The study highlights the importance of gender-sensitive policies and urban planning initiatives in Chandigarh. In conclusion, the study provides valuable insights into gender differences in cycling patterns, motivators, and constraints in Chandigarh, India. The study emphasizes the need for gender-sensitive policies, urban planning initiatives, and improved safety measures to promote cycling as a sustainable and safe mode of transportation and recreation within the city.