How much traffic is too much? Finding the right vehicle quota for a scenic mountain road in the Italian Alps. Issue 4 (December 2020)
- Record Type:
- Journal Article
- Title:
- How much traffic is too much? Finding the right vehicle quota for a scenic mountain road in the Italian Alps. Issue 4 (December 2020)
- Main Title:
- How much traffic is too much? Finding the right vehicle quota for a scenic mountain road in the Italian Alps
- Authors:
- Orsi, Francesco
Scuttari, Anna
Marcher, Anja - Abstract:
- Highlights: Quotas are an effective way to limit negative impacts of traffic in natural areas. Simulation can show how inflow restrictions would reverberate across time and space. An hourly quota can eliminate traffic issues by redistributing rather than cutting. A 25 to 35% traffic reduction eliminates congestion in the study area. The proposed approach is a first step towards the design of a quota system. Abstract: An effective yet neglected option to limit the detrimental effects of car traffic in natural tourist destinations is the imposition of vehicle quotas. Defining the right quota for a road system, however, may not be straightforward because of the complex connection between the number of vehicles entering the system and traffic levels across space and over time. In this paper, we present a novel approach to tackle this issue that combines agent-based modeling and standards of quality, and we use it to define an hourly quota aimed at limiting traffic congestion and demand for parking along a scenic road in the Dolomites (Italian Alps). The model is designed and calibrated using geospatial and traffic data, and the acceptability of the quotas is further tested according to the hourly modal splits they might induce. Our model simulations highlight that, by redistributing morning traffic inflows, the quota can almost eliminate congestion with only a negligible impact on overall traffic figures. Further, while traffic reductions of up to 35% may be needed to eliminateHighlights: Quotas are an effective way to limit negative impacts of traffic in natural areas. Simulation can show how inflow restrictions would reverberate across time and space. An hourly quota can eliminate traffic issues by redistributing rather than cutting. A 25 to 35% traffic reduction eliminates congestion in the study area. The proposed approach is a first step towards the design of a quota system. Abstract: An effective yet neglected option to limit the detrimental effects of car traffic in natural tourist destinations is the imposition of vehicle quotas. Defining the right quota for a road system, however, may not be straightforward because of the complex connection between the number of vehicles entering the system and traffic levels across space and over time. In this paper, we present a novel approach to tackle this issue that combines agent-based modeling and standards of quality, and we use it to define an hourly quota aimed at limiting traffic congestion and demand for parking along a scenic road in the Dolomites (Italian Alps). The model is designed and calibrated using geospatial and traffic data, and the acceptability of the quotas is further tested according to the hourly modal splits they might induce. Our model simulations highlight that, by redistributing morning traffic inflows, the quota can almost eliminate congestion with only a negligible impact on overall traffic figures. Further, while traffic reductions of up to 35% may be needed to eliminate traffic-related issues, more reasonable reductions (i.e. 10–25%) may be enough to address most of those. From an empirical perspective, the paper shows the effectiveness of quotas in sustainable transport and tourism; from a policy and management perspective, it proposes an approach for the definition of an ideal quota. The design of a quota system, however, requires detailed implementation and communication strategies, and more advanced simulation tools to capture circulation patterns induced by such strategies. … (more)
- Is Part Of:
- Case studies on transport policy. Volume 8:Issue 4(2020)
- Journal:
- Case studies on transport policy
- Issue:
- Volume 8:Issue 4(2020)
- Issue Display:
- Volume 8, Issue 4 (2020)
- Year:
- 2020
- Volume:
- 8
- Issue:
- 4
- Issue Sort Value:
- 2020-0008-0004-0000
- Page Start:
- 1270
- Page End:
- 1284
- Publication Date:
- 2020-12
- Subjects:
- Traffic congestion -- Parking -- Protected areas -- Tourism -- Agent-based modeling -- Discrete choice
Transportation and state -- Case studies -- Periodicals
Transportation -- Planning -- Case studies -- Periodicals
Transportation -- Research -- Case studies -- Periodicals
388.05 - Journal URLs:
- http://www.sciencedirect.com/science/journal/2213624X/ ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/j.cstp.2020.08.007 ↗
- Languages:
- English
- ISSNs:
- 2213-624X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 22688.xml