Active-Flow Campus: Translating Participatory Evidence, Topography, and Spatial Legibility into a Smart Bicycle-Sharing Network Framework

Large university campuses often remain dependent on internal motorised transport. This study develops the Active-Flow Campus framework for a docked (station-based) bicycle-sharing network at Çukurova University, combining a cross-sectional survey of 304 students, network analysis on the university’s topographic survey map, and a spatial-legibility audit. One respondent (0.3%) reported the bicycle as their main internal mode, whereas 70.1% stated willingness to cycle given safe, continuous infrastructure. Perceived time-saving and access-time burden were positively associated with cycling intention and negatively with perceived topographic difficulty; these associations are not causal, as the predictors and outcomes share one instrument. Phase 1 stations were selected by exhaustive optimisation: the chosen five represent at least one requested location for 295 respondents (97.0%), against 280 under a threshold rule, at equal indicative cost. Minimax-grade route analysis showed that links to the dormitory, main entrance, and southern academic stations exceed a 5% sustained grade, so electrical assistance is needed there from the first phase. Even with all eight candidates, only 65.5% of respondent-weighted faculty demand is within 500 m network distance of a station, showing where the candidate set needs extension.

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Publication Details

Journal
Sustainability
Published
2026-10-08
DOI
https://doi.org/10.3390/su181910225
Primary Topic
Urban Transport and Accessibility
Type
article
Field-Weighted Citation Impact
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article

Active-Flow Campus: Translating Participatory Evidence, Topography, and Spatial Legibility into a Smart Bicycle-Sharing Network Framework

Nur Yılmaz, Abdülkadir Turhan, Elif Yazgı Çelik
Sustainability
Urban Transport and Accessibility
article

Active-Flow Campus: Translating Participatory Evidence, Topography, and Spatial Legibility into a Smart Bicycle-Sharing Network Framework

Nur Yılmaz, Abdülkadir Turhan, Elif Yazgı Çelik
article en

Abstract

Large university campuses often remain dependent on internal motorised transport. This study develops the Active-Flow Campus framework for a docked (station-based) bicycle-sharing network at Çukurova University, combining a cross-sectional survey of 304 students, network analysis on the university’s topographic survey map, and a spatial-legibility audit. One respondent (0.3%) reported the bicycle as their main internal mode, whereas 70.1% stated willingness to cycle given safe, continuous infrastructure. Perceived time-saving and access-time burden were positively associated with cycling intention and negatively with perceived topographic difficulty; these associations are not causal, as the predictors and outcomes share one instrument. Phase 1 stations were selected by exhaustive optimisation: the chosen five represent at least one requested location for 295 respondents (97.0%), against 280 under a threshold rule, at equal indicative cost. Minimax-grade route analysis showed that links to the dormitory, main entrance, and southern academic stations exceed a 5% sustained grade, so electrical assistance is needed there from the first phase. Even with all eight candidates, only 65.5% of respondent-weighted faculty demand is within 500 m network distance of a station, showing where the candidate set needs extension.

SustainabilityVol. 18(19)
Cukurova University (TR)
Openalex Percentile: Top 10%
Urban Transport and Accessibility
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