Exploring the interaction between service quality and transit network design is crucial for enhancing passenger-oriented public transit. While previous research has explored incorporating crowding into network design as the intersection of comfort and security, the disutility associated with security issues at transit vehicles with lower crowding levels has been overlooked. This study, by introducing a novel parameter that accounts for the loading factor with the lowest crowding disutility, incorporates this concept into the optimal design of transit networks. Decision variables such as headway and stop spacing are optimized in a feeder-trunk network. The optimization is conducted both considering and neglecting these dimensions to assess how their inclusion modifies the network's optimality. The findings indicate that in low-demand scenarios, addressing security concerns necessitates more optimal headway and greater stop spacings compared to when such issues are overlooked. Shifting to schedule-based services with fewer stops is among the managerial actions recommended to achieve passenger-oriented transit systems during periods of lower demands.

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Enhancing Passenger-Oriented Public Transport: Integrating Service Quality Dimensions into Network Design

  • Javad Esmailpour,
  • Saeid Saidi

摘要

Exploring the interaction between service quality and transit network design is crucial for enhancing passenger-oriented public transit. While previous research has explored incorporating crowding into network design as the intersection of comfort and security, the disutility associated with security issues at transit vehicles with lower crowding levels has been overlooked. This study, by introducing a novel parameter that accounts for the loading factor with the lowest crowding disutility, incorporates this concept into the optimal design of transit networks. Decision variables such as headway and stop spacing are optimized in a feeder-trunk network. The optimization is conducted both considering and neglecting these dimensions to assess how their inclusion modifies the network's optimality. The findings indicate that in low-demand scenarios, addressing security concerns necessitates more optimal headway and greater stop spacings compared to when such issues are overlooked. Shifting to schedule-based services with fewer stops is among the managerial actions recommended to achieve passenger-oriented transit systems during periods of lower demands.