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Impact of Illuminated Road Signs on Driver’s Perception

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  • Woochul Choi

    (Department of Future & Smart Construction Research, Korea Institute of Civil Engineering and Building Technology (KICT), 283 Goyang-daero, Daehwa-dong, Ilsanseo-gu, Goyang-si 10223, Republic of Korea)

  • Hongki Sung

    (Department of Future & Smart Construction Research, Korea Institute of Civil Engineering and Building Technology (KICT), 283 Goyang-daero, Daehwa-dong, Ilsanseo-gu, Goyang-si 10223, Republic of Korea)

  • Kyusoo Chong

    (Department of Future & Smart Construction Research, Korea Institute of Civil Engineering and Building Technology (KICT), 283 Goyang-daero, Daehwa-dong, Ilsanseo-gu, Goyang-si 10223, Republic of Korea)

Abstract

This study determined citizens’ perceptions and impact factors of illuminated road signs installed to ensure their visibility at night when the risk of traffic accidents is high. An ordered logit model was used to measure illuminated road signs’ impact on drivers’ perception based on the data from the citizens’ survey conducted by the Road Sign Center. According to the results, the internal (optical fiber) type variable had the highest impact, followed by the frequent fog variable and the complex road line variable. This study found that most citizens positively recognized road signs, preferred internal (optical fiber) types, and desired illuminated road signs that considered climate, environment, and road structure types. In Seoul, the importance and improvement of illuminated road signs at points where road structures are complex, such as city streets, were high. Additionally, the illuminated road sign recognition and road type variable were significant in Gyeonggi-do, which reflected the high number of citizens that commute to Seoul from Gyeonggi-do. Concerning local cities and counties and intercity roads highly affected by the climate, the impact was high at points with frequent fog. Fog affects the visibility distance, generates condensation on signs, and significantly degrades visibility. Therefore, an illuminated road sign installation method must be presented based on spatial analysis for regions vulnerable to climate, environment, and road location. Additionally, the road intersection point variable was significant in local cities and counties, which reflects the relatively lagged road infrastructure. Local cities and counties are financially poor and have numerous aged drivers; hence, central government support that considers these aspects is crucial.

Suggested Citation

  • Woochul Choi & Hongki Sung & Kyusoo Chong, 2023. "Impact of Illuminated Road Signs on Driver’s Perception," Sustainability, MDPI, vol. 15(16), pages 1-19, August.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:16:p:12582-:d:1220430
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    References listed on IDEAS

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    1. Antoni Wontorczyk & Stanislaw Gaca, 2021. "Study on the Relationship between Drivers’ Personal Characters and Non-Standard Traffic Signs Comprehensibility," IJERPH, MDPI, vol. 18(5), pages 1-19, March.
    2. J. Scott Long & Jeremy Freese, 2006. "Regression Models for Categorical Dependent Variables using Stata, 2nd Edition," Stata Press books, StataCorp LP, edition 2, number long2, March.
    3. Changxi Ma & Jibiao Zhou & Dong Yang, 2020. "Causation Analysis of Hazardous Material Road Transportation Accidents Based on the Ordered Logit Regression Model," IJERPH, MDPI, vol. 17(4), pages 1-25, February.
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