Analysis of user behavior in urban parking under different level of information scenarios provided by smart devices or connected cars

Due to the issues of land redevelopment and changes of use within urban areas, many cities must adopt measures to reorganise and optimise parking space. This paper proposes a methodology to study one of them by implementing parking information systems (PIS). This solution offers users a competitive...

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Detalles Bibliográficos
Autores: Rodríguez Gutiérrez, Andrés, Alonso Oreña, Borja|||0000-0003-2475-3325, Moura Berodia, José Luis, Dell´Olio, Luigi|||0000-0003-0919-7578
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universidad de Cantabria (UC)
Repositorio:UCrea Repositorio Abierto de la Universidad de Cantabria
Idioma:inglés
OAI Identifier:oai:repositorio.unican.es:10902/33528
Acceso en línea:https://hdl.handle.net/10902/33528
Access Level:acceso abierto
Palabra clave:Parking choice
Parking policies evaluation
Parking simulation model
Smart parking information system
Descripción
Sumario:Due to the issues of land redevelopment and changes of use within urban areas, many cities must adopt measures to reorganise and optimise parking space. This paper proposes a methodology to study one of them by implementing parking information systems (PIS). This solution offers users a competitive advantage by allowing them to know about the free parking spaces at the moment of decision-making. To achieve this goal, microscopic simulations are conducted to analyse the effects of various scenarios involving the implementation of PIS. The data used in these simulations is obtained from the Santander area in Spain. For the evaluation of results, a methodology has been developed that combines the evaluation of social factors for citizens and operational impacts for decision-makers. The results show significant improvements with increasing user information rate, e. g., the number of unsuccessful parking attempts before finding a final parking space is reduced by 55%, and 37% less particulate pollutants are emitted into the atmosphere.