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TRIMIS

Optimising price and location of parking in cities under a sustainability constraint

PROJECTS
Funding
Belgium
Belgium icon
Duration
-
Status
Complete with results
Geo-spatial type
Urban
Project website
Project Acronym
SUSTAPARK
STRIA Roadmaps
Smart mobility and services (SMO)
Transport mode
Multimodal icon
Transport policies
Environmental/Emissions aspects,
Societal/Economic issues
Transport sectors
Passenger transport

Overview

Background & Policy context

A lot of cities in Belgium are struggling with parking problems. Having too much parking spaces for cars causes traffic problems, congestion, emissions, noise, and, above all, over-consumption of expensive land. Too little parking has also disadvantages: the inner city is less accessible, and many people will keep search for the scarce parking spots and therefore might cause even more traffic related problems.

Objectives

The objective of the project is to develop a tool providing strategic advice on urban parking.

The instrument considered issues as public versus private parking, on-street versus off-street, fees, time regulations, effects on welfare, city development, spatial competition, enforcement, housing, land use costs, congestion cost, etc.

A spatial disaggregation into city districts was provided to be able to also optimise the geographical aspects of parking management.

Methodology

The growing demand for parking was balanced with the environmental, economical and social constraints of a sustainability city centre.

The proposal is to build a land use model that is able to manage different options of location, amount and price of public parking spots.

Funding

Parent Programmes
Institution Type
Public institution
Institution Name
Belgian Federal Science Policy Office (Politique scientifique fédérale  / Federaal Wetenschapsbeleid)
Type of funding
Public (national/regional/local)

Results

One of the core products of SUSTAPARK is the overall model design of the city parking model, coupled with an efficient policy assessment method.

The model design included detailed information on the the various components of the integrated model and on the calculation algorithms.

It  also included information on the data necessary for the implementation of the model and description of model estimation method.

Partners

Lead Organisation
EU Contribution
€0
Partner Organisations
EU Contribution
€0

Technologies

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