Intelligent transportation systems (ITS) remain essential in realising sustainable transportation in sustainable cities and communities by 2030. However, little is known of studies, if any, that empirically provided a country-specific account of the level of application of ITS to inform and direct policymakers. Thus, this current study seeks to ascertain whether or not ITS applied in other national contexts are applicable in Ghana and to evaluate the level of application of ITS in Ghana. The Delphi technique was employed, and data were analysed using mean, median, and standard deviation. Twelve (12) ITS, which included Intelligent Speed Adaptation System, Road Condition Monitoring, and Smart Traffic Signal System, were deemed applicable in Ghana by the Delphi panellists. Each ITS recorded a median value of 8, an indication of a good consensus in the view of the respondents. Nonetheless, only three ITS, namely Electronic Toll Collection, Highway Data Collection (HDC), and Traffic Management Center (TMC), out of the twelve had been applied in Ghana. Even the three recorded a low level of application in Ghana, with a mean score of 3, meaning it is applied in at most half of the 16 regions of Ghana. Practically, the study identified ITS that are applicable in Ghana and presented the level of application of ITS in Ghana. This has the potential to inform policies geared towards the attainment of sustainable transportation under Sustainable Development Goal (SDG) 11 by 2030, specifically highway transportation.

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Towards Sustainable Transportation in Ghana: An Evaluation of the Level of Application of Intelligent Transportation Systems

  • Matthew Kwaw Somiah,
  • Frederick Owusu Danso,
  • Michael Biney,
  • Benjamin Aidoo

摘要

Intelligent transportation systems (ITS) remain essential in realising sustainable transportation in sustainable cities and communities by 2030. However, little is known of studies, if any, that empirically provided a country-specific account of the level of application of ITS to inform and direct policymakers. Thus, this current study seeks to ascertain whether or not ITS applied in other national contexts are applicable in Ghana and to evaluate the level of application of ITS in Ghana. The Delphi technique was employed, and data were analysed using mean, median, and standard deviation. Twelve (12) ITS, which included Intelligent Speed Adaptation System, Road Condition Monitoring, and Smart Traffic Signal System, were deemed applicable in Ghana by the Delphi panellists. Each ITS recorded a median value of 8, an indication of a good consensus in the view of the respondents. Nonetheless, only three ITS, namely Electronic Toll Collection, Highway Data Collection (HDC), and Traffic Management Center (TMC), out of the twelve had been applied in Ghana. Even the three recorded a low level of application in Ghana, with a mean score of 3, meaning it is applied in at most half of the 16 regions of Ghana. Practically, the study identified ITS that are applicable in Ghana and presented the level of application of ITS in Ghana. This has the potential to inform policies geared towards the attainment of sustainable transportation under Sustainable Development Goal (SDG) 11 by 2030, specifically highway transportation.