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HAF-ALP-TOUR

HAF-ALP-TOUR

Hybrid and Automated Fleets (HAF) in Alpine tourism regions

The HAF-ALP-TOUR project aims to address the mobility issues in Austria's Alpine regions. The project focuses on Hybrid and Automated Fleets (HAF). HAF are considered to be crucial for improving mobility in Alpine regions. By combining automated and non-automated vehicles, flexible and efficient solutions can be created to meet the specific requirements of these regions. HAFs provide not only high-quality services and accessibility but also contribute to increasing resilience and reducing environmental impact. Furthermore, flexibility may make a hybrid system more adaptable to changing environmental conditions.

The basis for the use of HAF in Alpine tourism regions will be established in this project. Central research questions are, among others:

What are the expected technological development trends for HAF?
What are the demands and environmental influences?
How will the fleet be configured and integrated into public transport services?
How can the economic efficiency of the operating concepts be achieved from the operator's point of view?

The results of the project are to be made available to other Alpine regions by means of a learning strategy and prepared as policy recommendations.

Key data

Duration: 02.09.2024 – 01.09.2027

Funding: call of the Austrian Funding Agency (FFG) "Mobility (2023) – Regions and Digitalisation"

Further information: FFG, opens an external URL in a new window

Key data

Duration: 02.09.2024 – 01.09.2027

Funding: call of the Austrian Funding Agency (FFG) "Mobility (2023) – Regions and Digitalisation"

Further information: FFG, opens an external URL in a new window

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cppo	Is needed for statistical purposes.	90 days	HTTP	Meta
locale	Is needed to save the language settings.	session	HTTP	Meta
pl	Required for Facebook Pixel.	2 years	HTTP	Meta
lu	Required for Facebook Pixel.	2 years	HTTP	Meta
c_user	Required for Facebook Pixel.	3 months	HTTP	Meta
bcookie	Is needed to store browser data (marketing/tracking).	2 years	HTTP	LinkedIn
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li_sugr	Is needed to store browser data (marketing/tracking).	3 months	HTTP	LinkedIn
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li_fat_id	Required for indirect member identification used for conversion tracking, retargeting and analytics.	30 days	HTTP	LinkedIn
U	Is needed to identify the browser.	3 months	HTTP	LinkedIn
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