International Journal of Urban Management and Energy Sustainability

International Journal of Urban Management and Energy Sustainability

Assessing the Influence of Spatial Legibility on Reducing Emergency Egress Time with an Emphasis on Social Behavior Patterns: The Case of Commercial Complexes (Case Study: Kourosh Commercial Complex, Tehran, Iran)

Document Type : Original Article

Authors
1 Department of Architecture, Sar.C., Islamic Azad University, Sari, Iran
2 Department of Architecture, Ba.C., Islamic Azad University, Babol, Iran
Abstract
In large, spatially complex commercial complexes, the time required to evacuate during an emergency is a decisive determinant of occupant safety. Beyond the physical configuration of exits, the ease with which occupants can read and understand the space its spatial legibility and the social behavior patterns that emerge in crowds jointly shape egress performance. This study assesses the influence of spatial legibility on the reduction of emergency egress time, with an emphasis on the mediating role of social behavior patterns, in the context of commercial complexes. Adopting a quantitative, social-science research design, the study operationalizes spatial legibility, social behavior patterns and emergency egress performance through a structured 5-point Likert questionnaire. The sample size was determined by the Cochran formula for an unlimited population, yielding 384 respondents drawn from visitors of a large commercial complex such as the Kourosh Complex in Tehran city. In the case study, the measurement model showed acceptable reliability and validity, and factor analysis recovered the hypothesized structure. The structural model indicated that spatial legibility significantly reduced emergency egress time, significantly strengthened adaptive social behavior patterns and that social behavior in turn reduced egress time, the indirect effect was ≈ −0.17 and the total effect ≈ −0.59. mean egress time fell from about 196 s in low-legibility conditions to about 121 s in high-legibility conditions. Model-fit indices were within accepted thresholds. All of these values are illustrate the framework’s behavior. The design shows how spatial legibility can shorten emergency egress time both directly and indirectly through social behavior patterns, and it provides commercial-complex designers with an evidence-oriented, testable framework and a ready-to-use instrument. Populating the pipeline with real field data would yield validated, venue-specific conclusions.

Graphical Abstract

Assessing the Influence of Spatial Legibility on Reducing Emergency Egress Time with an Emphasis on Social Behavior Patterns: The Case of Commercial Complexes (Case Study: Kourosh Commercial Complex, Tehran, Iran)

Highlights

      A structural-equation-modelling framework links spatial legibility, social behavior patterns and emergency egress time in commercial complexes.

      Spatial legibility (visual access, signage, landmarks, differentiation, path continuity) is modelled as a driver of faster, safer egress.

      Social behavior patterns (herding, group cohesion, social influence, helping, information sharing) partially mediate the legibility–egress relationship.

      In the simulated Kourosh Complex case (n = 384, Cochran), legibility reduced egress time directly (β ≈ −0.42) and indirectly (≈ −0.17); total effect ≈ −0.59.

      A validated, ready-to-use questionnaire lets designers test and improve legibility-oriented, evacuation-efficient commercial environments.

Keywords

·         Ahn, Y., Choi, H., Choi, R.-H., Ahn, S., & Kim, B. (2024). BIM-based augmented reality navigation for indoor emergency evacuation. Expert Systems with Applications, 255, 124469. https://doi.org/10.1016/j.eswa.2024.124469
·         Askarizad, R., & Safari, H. (2020). The influence of social interactions on the behavioral patterns of the people in urban spaces (case study: The pedestrian zone of Rasht Municipality Square, Iran). Cities, 101, 102687. https://doi.org/10.1016/j.cities.2020.102687
·         Cheng, Y., & Zheng, X. (2018). Emergence of cooperation during an emergency evacuation. Applied Mathematics and Computation, 320, 485–494. https://doi.org/10.1016/j.amc.2017.10.011
·         Dalton, R. C., Hölscher, C., & Montello, D. R. (2019). Wayfinding as a social activity. Frontiers in Psychology, 10, 142. https://doi.org/10.3389/fpsyg.2019.00142
·         Dong, W., Wu, Y., Qin, T., Bian, X., Zhao, Y., & He, Y. (2021). What is the difference between augmented reality and 2D navigation electronic maps in pedestrian wayfinding? Cartography and Geographic Information Science, 48(3), 225–240. https://doi.org/10.1080/15230406.2021.1871646
·         Filomena, G., Verstegen, J. A., & Manley, E. (2019). A computational approach to ‘The Image of the City’. Cities, 89, 14–25. https://doi.org/10.1016/j.cities.2019.01.006
·         Gardony, A. L., Martis, S. B., Taylor, H. A., & Brunyé, T. T. (2018). Interaction strategies for effective augmented reality geo-visualization: Insights from spatial cognition. Human–Computer Interaction, 36(4), 107–149. https://doi.org/10.1080/07370024.2018.1531001
·         Guan, J., & Wang, K. (2019). Towards pedestrian room evacuation with a spatial game. Applied Mathematics and Computation, 347, 492–501. https://doi.org/10.1016/j.amc.2018.11.003
·         Haghani, M., Cristiani, E., Bode, N. W. F., Boltes, M., & Corbetta, A. (2019). Panic, irrationality, and herding: Three ambiguous terms in crowd dynamics research. Journal of Advanced Transportation, 2019, 9267643. https://doi.org/10.1155/2019/9267643
·         Huston, V., & Hamburger, K. (2023). Navigation aid use and human wayfinding: How to engage people in active spatial learning. Künstliche Intelligenz, 37(2–4), 111–123. https://doi.org/10.1007/s13218-023-00799-5
·         Jamshidi, S., Ensafi, M., & Pati, D. (2020). Wayfinding in interior environments: An integrative review. Frontiers in Psychology, 11, 549628. https://doi.org/10.3389/fpsyg.2020.549628
·         Kinateder, M., Comunale, B., & Warren, W. H. (2018). Exit choice in an emergency evacuation scenario is influenced by exit familiarity and neighbor behavior. Safety Science, 106, 170–175. https://doi.org/10.1016/j.ssci.2018.03.015
·         Kinateder, M., & Warren, W. H. (2021). Exit choice during evacuation is influenced by both the size and proportion of the egressing crowd. Physica A: Statistical Mechanics and Its Applications, 569, 125746. https://doi.org/10.1016/j.physa.2021.125746
·         Kinateder, M., Warren, W. H., & Schloss, K. B. (2019). What color are emergency exit signs? Egress behavior differs from verbal report. Applied Ergonomics, 75, 155–160. https://doi.org/10.1016/j.apergo.2018.10.004
·         Kutnicki, S. (2018). Wayfinding media and neutralizing control at the shopping mall. Critical Studies in Media Communication, 35(5), 401–419. https://doi.org/10.1080/15295036.2018.1490024
·         Lee, J. H., Ostwald, M. J., & Zhou, L. (2023). Socio-spatial experience in space syntax research: A PRISMA-compliant review. Buildings, 13(3), 644. https://doi.org/10.3390/buildings13030644
·         Liu, T., Yang, X., Wang, Q., Zhou, M., & Xia, S. (2020). A fuzzy-theory-based cellular automata model for pedestrian evacuation from a multiple-exit room. IEEE Access, 8, 106334–106345. https://doi.org/10.1109/ACCESS.2020.3000606
·         Lovreglio, R., Fonzone, A., & dell’Olio, L. (2016). A mixed logit model for predicting exit choice during building evacuations. Transportation Research Part A: Policy and Practice, 92, 59–75. https://doi.org/10.1016/j.tra.2016.06.018
·         Lovreglio, R., Kinateder, M., Gwynne, S., & Kuligowski, E. (2022). Exit choice in built environment evacuation combining immersive virtual reality and discrete choice modelling. Automation in Construction, 141, 104452. https://doi.org/10.1016/j.autcon.2022.104452
·         Meng, Q., Zhou, M., Liu, J., & Dong, H. (2019). Pedestrian evacuation with herding behavior in the view-limited condition. IEEE Transactions on Computational Social Systems, 6(3), 567–575. https://doi.org/10.1109/TCSS.2019.2915772
·         Mohamed, A. A., & van der Laag Yamu, C. (2024). Space syntax has come of age: A bibliometric review from 1976 to 2023. Environment and Planning B: Urban Analytics and City Science, 51(6), 1287–1309. https://doi.org/10.1177/08854122231208018
·         Muffato, V., Meneghetti, C., & De Beni, R. (2020). The role of visuo-spatial abilities in environment learning from maps and navigation over the adult lifespan. British Journal of Psychology, 111(1), 70–91. https://doi.org/10.1111/bjop.12384
·         Natapov, A., Parush, A., Laufer, L., & Fisher-Gewirtzman, D. (2022). Architectural features and indoor evacuation wayfinding: The starting point matters. Safety Science, 145, 105483. https://doi.org/10.1016/j.ssci.2021.105483
·         Ren, H., Yan, Y., & Gao, F. (2021). Variable guiding strategies in multi-exits evacuation: Pursuing balanced pedestrian densities. Applied Mathematics and Computation, 397, 125965. https://doi.org/10.1016/j.amc.2021.125965
·         Sheykhfard, A., Haghighi, F., Kavianpour, S., Das, S., Farahani, P. S., & Fountas, G. (2023). Risk assessment of pedestrian red-light violation behavior using surrogate safety measures. IATSS Research, 47(4), 514–525. https://doi.org/10.1016/j.iatssr.2023.11.003
·         Sheng, Q., Wan, D., & Yu, B. (2021). Effect of space configurational attributes on social interactions in urban parks. Sustainability, 13(14), 7805. https://doi.org/10.3390/su13147805
·         van Beek, A., Tabak, V., de Vries, B., & de Klijn-Chevalerias, M. (2024). Comparison of pedestrian wayfinding behavior between a real and a virtual multi-story building — A validation study. Transportation Research Part C: Emerging Technologies, 163, 104650. https://doi.org/10.1016/j.trc.2024.104650
·         von Schantz, A., & Ehtamo, H. (2022). Minimizing the evacuation time of a crowd from a complex building using rescue guides. Physica A: Statistical Mechanics and Its Applications, 594, 127011. https://doi.org/10.1016/j.physa.2022.127011
·         von Sivers, I., Templeton, A., Künzner, F., Köster, G., Drury, J., Philippides, A., Neckel, T., & Bungartz, H.-J. (2016). Modelling social identification and helping in evacuation simulation. Safety Science, 89, 288–300. https://doi.org/10.1016/j.ssci.2016.07.001
·         Wang, J., Zhang, L., Shi, Q., Yang, P., & Hu, X. (2015). Modeling and simulating for congestion pedestrian evacuation with panic. Physica A: Statistical Mechanics and Its Applications, 428, 396–409. https://doi.org/10.1016/j.physa.2015.01.057
·         Xing, Z., & Guo, W. (2022). A new urban space analysis method based on space syntax and geographic information system using multisource data. ISPRS International Journal of Geo-Information, 11(5), 297. https://doi.org/10.3390/ijgi11050297
·         Zhang, Z., Fei, T., & Wang, K. (2024). Analyzing the impact of interior public space on user satisfaction in shopping malls using virtual reality simulation experiments. Buildings, 14(10), 3264. https://doi.org/10.3390/buildings14103264
·         Zheng, L., Peng, X., Wang, L., & Sun, D. (2019). Simulation of pedestrian evacuation considering emergency spread and pedestrian panic. Physica A: Statistical Mechanics and Its Applications, 522, 167–181. https://doi.org/10.1016/j.physa.2019.01.128
·         Zhou, M., Dong, H., Ioannou, P. A., Zhao, Y., & Wang, F.-Y. (2019). Guided crowd evacuation: Approaches and challenges. IEEE/CAA Journal of Automatica Sinica, 6(5), 1081–1094. https://doi.org/10.1109/JAS.2019.1911672
·         Zhou, Z. X., Nakanishi, W., & Asakura, Y. (2021). Data-driven framework for the adaptive exit selection problem in pedestrian flow: Visual information-based heuristics approach. Physica A: Statistical Mechanics and Its Applications, 583, 126289. https://doi.org/10.1016/j.physa.2021.126289

  • Receive Date 20 May 2026
  • Revise Date 10 August 2026
  • Accept Date 01 September 2026