A systematic literature review on the application of analytical approaches and mathematical programming in public bus transit network design and operations planning: Part II

TL;DR

This paper systematically reviews the use of analytical and mathematical programming methods in public bus transit network design and operations, emphasizing applications, critical analyses, and future research directions.

Contribution

It provides a detailed critical analysis of mathematical programming applications in bus transit planning, building on prior statistical reviews and identifying research gaps.

Findings

Mathematical programming is extensively used in bus transit planning.

Identified research gaps include sustainability and emerging technology integration.

Future research should focus on sustainable solutions and technological challenges.

Abstract

Among all public transit modes, bus transit systems stand out as the most prevalent and popular. This prominence has spurred a significant body of research addressing various aspects of bus systems. In the literature, analytical approaches and mathematical programming are predominantly used to explore the Public Bus Transit Network Design Problem and Operations Planning (PBTNDP&OP). Part I of our study presented statistical analyses of literature applying these methodologies to PBTNDP&OP, along with a comprehensive review of analytical papers, highlighting the strengths and weaknesses of each approach. In Part II, we delve into the applications of mathematical programming within PBTNDP&OP, building upon the 15 major sub-categories identified in Part I. We have critically analyzed the identified papers within these sub-categories from various perspectives, including the problems investigated, modeling methods employed, decision variables, network structures, and key findings. This critical review highlights selected papers in each category. Finally, acknowledging existing research gaps, we propose potential extensions for future research. Despite the extensive array of publications, numerous topics still warrant further exploration. Notably, sustainable PBTNDP&OP and challenges associated with integrating emerging technologies are poised to dominate future research agendas.