Optimizing metro and BRT transfer design in Isfahan using passenger generalized cost and ant colony optimization
Abstract
This study presents a revised framework for screening and optimizing local Metro and BRT transfer connections in Isfahan using a state-separated passenger network, fixed-OD evaluation, explicit transfer screening, and ant-colony-based search. The formulation prevents implicit intermodal switching and holds the OD matrix constant between baseline and intervention networks, thereby separating modeled network-design effects from demand regeneration. Because the available empirical demand information does not provide a complete observed spatial OD matrix, the gravity deterrence coefficient is treated as a sensitivity parameter rather than as an empirically calibrated behavioral coefficient. Coordinate and network screening retained 29 feasible transfer candidates. Candidate 22, a 249.2 m pedestrian connection, produced the largest modeled improvement in the central case. System passenger generalized cost decreased from 6,265,519.636 to 6,258,241.797 passenger-min, a reduction of 7,277.839 passenger-min (0.116157%). Exhaustive evaluation of all 406 candidate pairs and targeted triple screening found no additional benefit beyond the best single link. I-ACO, standard ACO, and greedy search identified the same one-link solution, although the fast benchmark does not establish statistical superiority of any stochastic algorithm. Given the small system-wide effect and limitations in observed OD validation, route-choice behavior, and service-parameter calibration, the result is interpreted as a localized model-based screening outcome that requires empirical and site-level validation before implementation.
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BibTeX
@article{nakhaie2026optimizing,
title = {{Optimizing metro and BRT transfer design in Isfahan using passenger generalized cost and ant colony optimization}},
author = {Navid Nakhaie and Ali Naderan and Shahriar Afandizadeh Zargari and Hooman Rahimi},
journal = {Scientific Reports},
year = {2026},
month = oct,
doi = {10.1038/s41598-026-74249-1},
url = {https://www.nature.com/articles/s41598-026-74249-1},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Optimizing metro and BRT transfer design in Isfahan using passenger generalized cost and ant colony optimization
AU - Navid Nakhaie
AU - Ali Naderan
AU - Shahriar Afandizadeh Zargari
AU - Hooman Rahimi
PY - 2026
DA - 2026/10/13
JO - Scientific Reports
DO - 10.1038/s41598-026-74249-1
UR - https://www.nature.com/articles/s41598-026-74249-1
AB - This study presents a revised framework for screening and optimizing local Metro and BRT transfer connections in Isfahan using a state-separated passenger network, fixed-OD evaluation, explicit transfer screening, and ant-colony-based search. The formulation prevents implicit intermodal switching and holds the OD matrix constant between baseline and intervention networks, thereby separating modeled network-design effects from demand regeneration. Because the available empirical demand information does not provide a complete observed spatial OD matrix, the gravity deterrence coefficient is treated as a sensitivity parameter rather than as an empirically calibrated behavioral coefficient. Coordinate and network screening retained 29 feasible transfer candidates. Candidate 22, a 249.2 m pedestrian connection, produced the largest modeled improvement in the central case. System passenger generalized cost decreased from 6,265,519.636 to 6,258,241.797 passenger-min, a reduction of 7,277.839 passenger-min (0.116157%). Exhaustive evaluation of all 406 candidate pairs and targeted triple screening found no additional benefit beyond the best single link. I-ACO, standard ACO, and greedy search identified the same one-link solution, although the fast benchmark does not establish statistical superiority of any stochastic algorithm. Given the small system-wide effect and limitations in observed OD validation, route-choice behavior, and service-parameter calibration, the result is interpreted as a localized model-based screening outcome that requires empirical and site-level validation before implementation.
SN - 2045-2322
ER -