@article{10902/29034,
year = {2022},
month = {2},
url = {https://hdl.handle.net/10902/29034},
abstract = {This article analyses the impact that different parking management policies may have on public roads. Policies were simulated using a new parking model based on two sub models: choice of parking place and search for parking place. The model considers curb traffic and was implemented into a traditional microsimulation traffic software. The parameters for the sub models were estimated from data collected in the city centre of Santander (Spain) and from a stated preferences survey asked to users of parking spaces. The model for testing policies was run on Aimsun simulation software creating a personalised API programmed using Python 3.7. The proposed model was able to dynamically simulate various policies based on charging for on-street parking spaces with fare updates at short time intervals of between 5 and 15 min. A sensitivity analysis was performed on different fare scenarios and considering different levels of information available to the users. As a result, this work demonstrates some benefits of dynamic fares such as reducing searching time, curb induced traffic and emissions as well as a new modal redistribution of parking choice between off-street and on-street supply. On the contrary, dynamic fares implied that users needed to spend a bit more time from their parking location to their destinations.},
organization = {This study and the development of future research are possible thanks to financing from the Spanish Ministerio de Ciencia e Innovación from the project referenced and TRA2017-85853-C2-1-R.},
publisher = {Elsevier},
publisher = {Transportation Research Part A: Policy and Practice, 2022, 156, 253-269},
title = {Microsimulation parking choice and search model to assess dynamic pricing scenarios},
author = {Rodríguez Gutiérrez, Andrés and Cordera Piñera, Rubén and Alonso Oreña, Borja and Dell´Olio, Luigi and Benavente Ponce, Juan},
}