A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Modelling parking type choice behavior
Cruising for a parking space represents one of the major sources of urban congestion. Search for Parking generates additional urban traffic, energy consumption, vehicle emissions and time waste. Thus, it is essential to understand how drivers make decisions to select their parking lots. The estimation of models that reproduce parking driver's attitudes is crucial to improve the performance of parking facilities and transport systems. This study aims to understand the different behavioral considerations that rule the choice of drivers to choose one parking type among three alternatives: on-street parking, off-street parking and underground parking. For this purpose, we propose a multinomial logit model by using data obtained with a revealed preference surveys of drivers' parking type choices and associated factors in the city. Our findings provide authorities with additional perspectives for creating an efficient parking policy and associated land use planning. Indeed, to tackle the parking issue we had to pay attention to driver’s preferences regarding future parking supply options.
Modelling parking type choice behavior
Cruising for a parking space represents one of the major sources of urban congestion. Search for Parking generates additional urban traffic, energy consumption, vehicle emissions and time waste. Thus, it is essential to understand how drivers make decisions to select their parking lots. The estimation of models that reproduce parking driver's attitudes is crucial to improve the performance of parking facilities and transport systems. This study aims to understand the different behavioral considerations that rule the choice of drivers to choose one parking type among three alternatives: on-street parking, off-street parking and underground parking. For this purpose, we propose a multinomial logit model by using data obtained with a revealed preference surveys of drivers' parking type choices and associated factors in the city. Our findings provide authorities with additional perspectives for creating an efficient parking policy and associated land use planning. Indeed, to tackle the parking issue we had to pay attention to driver’s preferences regarding future parking supply options.
Modelling parking type choice behavior
Sana Ben Hassine (author) / Rafaa Mraihi (author) / Anis Lachiheb (author) / Elyes Kooli (author)
2022
Article (Journal)
Electronic Resource
Unknown
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