A Study on the Impact of the Newly Constructed Metro Rail in Dhaka on Travel Behavior
Highlights
Over 50% of users, primarily from lower and middle socioeconomic classes, find ticket prices reasonable, ensuring accessibility.
Daily and weekly commuters rely on the metro for business or school, with shorter trip durations being a major benefit.
Peak-hour congestion and cleanliness issues remain key concerns despite overall positive perceptions.
The metro system improves traffic flow, reduces travel times, and is favorably viewed for safety, accessibility, and environmental benefits.
Hassan, M., Mehjabin, F., & Al Nafees, A. (2024). A study on the impact of the newly constructed metro rail in Dhaka on travel behavior. In Lecture Notes in Civil Engineering. 13th Asia-Pacific Conference on Transportation and the Environment (APTE), National University of Singapore, Singapore, July 8–10, 2024.
Public Transport Ridership Forecasting Using Machine Learning: A Case Study of Rapid Bus KL in Malaysia
Highlights
Weekdays show consistent commuter demand, while weekends exhibit more leisure-related ridership variability.
Comfortable temperatures boost ridership, while extreme hot or cold conditions reduce activity.
Festivals drive higher ridership due to increased social and economic activities.
Weekday/Weekend distinctions are the most critical factor influencing ridership patterns.
Al Nafees, A., Hassan, M., Paul, A., Shraban, S. S., & Mahin, H. D. (2024). Public transport ridership forecasting using machine learning: A case study of Rapid Bus KL in Malaysia.