EURO-Online login
- New to EURO? Create an account
- I forgot my username and/or my password.
- Help with cookies
(important for IE8 users)
151. OPTIDENS : A Mathematical Programming Approach for the 15-minute city model
Invited abstract in session TA-18: Optimization of sustainable urban mobility, stream Sustainable Cities.
Tuesday, 8:30-10:00Room: 42 (building: 116)
Authors (first author is the speaker)
1. | SERIGNE GUEYE
|
UNIVERSITE D'AVIGNON CERI-LIA | |
2. | Cyrille Genre-Grandpierre
|
University ofAvignon | |
3. | Jean-Christophe Mounier
|
Avignon University |
Abstract
The 15-minute city model proposes a redesign of the urban system to provide access to daily needs or destinations (work, food, health, education, culture and leisure) within a 15-minute walk, cycle or public transport journey. One of the main objectives is to reduce car dependency and it's side effects. The 15-minute may be implemented by thinking a city as a possibility of choice leading to a Social Interaction Potential (SIP). That is the possibility of easily reaching numerous and diverse people; a potential of jobs or any other amenities. The problem is that the high level of these potentials, which depend on density and transport speed, has been achieved for decades mainly thanks to the speed of the car. Cities are currently built on temporal proximity (by car) rather than physical proximity, which generates car dependency. In order to move towards a more sustainable mobility, it is imperative to return to more physical proximity, to a functioning based more on short distances, which is the idea of the 15-minute city. The question, then, is how to return to an urban functioning based on short distances without abandoning the essence of cities, in particular a high level of SIP. We have developed an optimization model, called OPTIDENS, which allows to find (if possible) the suitable location (or relocation) of any set activities in a city, in such way to respect a given SIP at the lowest travel speed. Some numerical results on data from real-life cities will be given.
Keywords
- OR in Sustainability
- Location
- Mathematical Programming
Status: accepted
Back to the list of papers