At present, a number of smart urban mobility solutions exist and furthermore are emerging towards the design of smart cities offering equitable, green and efficient transport. As this concept addresses the needs of all travellers, it is essential to explore the relevance of existing and proposed smart solutions for distinct user categories. Powered-two-wheelers (PTWs) comprise a distinct vehicle category exhibiting specific movement dynamics and characteristics while exhibiting considerable presence in urban areas and increasing ownership trends during the recent years. Thus, PTW needs should be identified and considered in the design of smart cities. This study explores PTW diversion behaviour considering variable message signs (VMS) operation. Relevant data was collected through a stated preference questionnaire survey and diversion propensity was explored through the design of probit models. Survey results indicated that although PTWs believe that VMS fail to address their needs, their attitudes towards them are still positive. Model results exhibited that most of the information elements transmitted via VMS affect PTW diversion behaviour. Other contributory factors, considering PTW diversion included traffic code violation behaviour, rider ‘flexibility’, age, gender etc. Rider sub-populations, considering riding on the pavement or pedestrianised areas and internet use for traffic information, were also explored.
Powered-two-wheelers and smart cities: the case of variable message signs
IET Intelligent Transport Systems ; 14 , 14 ; 2021-2029
2021-02-22
9 pages
Article (Journal)
Electronic Resource
English
PTWs , urban areas , smart urban mobility solutions , traffic information , smart cities , powered-two-wheelers , traffic information systems , stated preference questionnaire survey , efficient transport , data collection , equitable transport , distinct vehicle category , variable message signs operation , road traffic , pedestrianised areas , PTW diversion behaviour , information elements , pavement , green transport , specific movement dynamics , traffic code violation behaviour
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