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Institute of Construction Process and Construction Economics

Research Units

Construction Process and Methods

Construction machinery and construction workers at the tunnel entrance

Head: Univ.-Prof. Dr.-Ing. Frank Lulei

Construction Economics and Management

hexagonal tiles with chapters from a lecture

Head: Univ.-Prof. Dr.-Ing. Frank Lulei

Digital Building Process

Image of the Vienna Museum overlaid with the digital model. In addition, display of a graphic of the digital links.

Head: Assoc. Prof. Dipl.-Ing. Dr. techn. Christian Schranz M.Sc.

News

Announcement: LVA 234.116 - International Construction Project Management (English only)

16. March 2024

crop architect opening blueprint — © Image by Freepik

International construction projects are complex and pose particular challenges for the parties involved. In this seminar, we will examine the economic…

New paper published in the journal "Tunnelling and Underground Space Technology"

16. March 2024

A screenshot from the homepage of the paper published by Elsevier. — © Elsevier Ltd.

As part of the "BIM in tunnel construction" project, an article was published in the renowned journal "Tunnelling and Underground Space Technology" in…

These were the 13th Vienna Talks

29. November 2023

Prof. Lulei in conversation with the other participants during the panel discussion. — © Sebastian Philipp

On November 9th, 2023, the Construction Economics and Management research department of the TU Wien (Vienna) hosted the Vienna Talks for the 13th…

New paper in top scientific journal "Automation in Construction" published

04. October 2023

Title page of the paper — © Automation in Construction

Simon Fischer, Christian Schranz, Harald Urban, and Daniel Pfeiffer published an article about the automated checking of escape routes in an openBIM…

Tenure track position "Digital Construction Process in Civil Engineering" filled with Dr. Harald Urban

04. October 2023

Harald Urban

Dr Harald Urban prevails in a high-calibre selection process for the tenure track position "Digital Construction Process in Civil Engineering".

New paper about Augmented Reality research in buildings published

02. October 2023

Banner of the publikation — © Buildings

A. Gerger, H. Urban, C. Schranz: "Augmented Reality for Building Authorities: A Use Case Study in Austria"

Events from 18. April 2024

Field trip to the S31 construction site

07:40 17:00

Type of event: OtherEvent location: Departure at 07:40 am from TU Wien, 1040 Vienna

Institute of Construction Process and Construction Economics

Welcome to our homepage. Our Institute of Construction Process and Construction Economics at the Faculty of Civil and Environmental Engineering, opens an external URL in a new window of TU Wien covers the planning and construction process from organisation and development, planning and execution to the operation of the property or infrastructure project. The goal is a holistic and interdisciplinary life cycle approach in the sense of a complex system that is subject to diverse, reciprocal influences and interdependencies.

Head

Univ.Prof. Dipl.-Ing. Dr.-Ing. Frank Lulei

Head, Institute of Construction Process and Construction Economics

Phone: +43 1 58801 23512 Call Frank Lulei

Send email to Frank Lulei

Show room AEEG01 on the map , opens an external URL in a new window

Institute address

Institute of Construction Process and Construction Economics
TU Wien
Karlsplatz 13/235
1040 Vienna, Austria

Access via:
Main building, staircase 2, mezzanine floor

Map

Map to institute E235 in the main building of the TU Wien.

© Alexander Gerger, Christian Schranz

How to find us.

Map (pdf 5 MB)

Head

Univ.Prof. Dipl.-Ing. Dr.-Ing. Frank Lulei

Head, Institute of Construction Process and Construction Economics

Phone: +43 1 58801 23512 Call Frank Lulei

Send email to Frank Lulei

Show room AEEG01 on the map , opens an external URL in a new window

Institute address

Institute of Construction Process and Construction Economics
TU Wien
Karlsplatz 13/235
1040 Vienna, Austria

Access via:
Main building, staircase 2, mezzanine floor

Map

Map to institute E235 in the main building of the TU Wien.

© Alexander Gerger, Christian Schranz

How to find us.

Map (pdf 5 MB)

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OTZ	Is needed to link activities of visitors with other devices that are previously logged in via the Google account. In this way, advertising is tailored to different devices.	1 month	HTTP	Google
RUL	Is needed by DoubleClick to determine whether advertising has been displayed correctly in order to make marketing activities more efficient.	1 year	HTTP	Doubleclick
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SIDCC	Is needed to store information about user settings and information for Google Maps.	3 months	HTTP	Google
SSID	Is needed to collect visitor information for videos hosted by YouTube on Google Maps integrated maps.	persistent	HTTP	Google
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test_cookie	Is set as a test to check whether the browser allows cookies to be set. Does not contain any identification features.	15 minutes	HTTP	Google
VISITOR_INFO1_LIVE	Is needed by YouTube to store user settings and to calculate user bandwidth.	6 months	HTTP	Youtube
facebook	Is used to Enable ad delivery or retargeting	90 days	HTTP	Meta (Facebook)
__fb_chat_plugin	Is needed to store and track interactions (marketing/tracking).	persistent	HTTP	Meta (Facebook)
_js_datr	Is needed to save user settings.	2 years	HTTP	Meta (Facebook)
_fbc	Is needed to save the last visit (marketing/tracking).	2 years	HTTP	Meta (Facebook)
fbm	Is needed to store account data (marketing/tracking).	1 year	HTTP	Meta (Facebook)
xs	Is needed to store a unique session ID (marketing/tracking).	1 year	HTTP	Meta (Facebook)
wd	Is needed to log the screen resolution.	1 week	HTTP	Meta (Facebook)
fr	Is needed to serve ads and measure and improve their relevance.	3 months	HTTP	Meta (Facebook)
act	Is needed to store logged in users (marketing/tracking).	90 days	HTTP	Meta (Facebook)
_fbp	Is needed to store and track visits to various websites (marketing/tracking).	3 months	HTTP	Meta (Facebook)
datr	Is needed to identify the browser for security and website integrity purposes, including account recovery and identification of potentially compromised accounts.	2 years	HTTP	Meta (Facebook)
dpr	Is used for analysis purposes. Technical parameters are logged (e.g. aspect ratio and dimensions of the screen) so that Facebook apps can be displayed correctly.	1 week	HTTP	Meta (Facebook)
sb	Is needed to store browser details and security information of the Facebook account.	2 years	HTTP	Meta (Facebook)
dbln	Is needed to store browser details and security information of the Facebook account.	2 years	HTTP	Meta (Facebook)
spin	Is needed for promotional purposes and social campaign reporting.	session	HTTP	Meta (Facebook)
presence	Contains the "chat" status of logged in users.	1 month	HTTP	Meta (Facebook)
cppo	Is needed for statistical purposes.	90 days	HTTP	Meta (Facebook)
locale	Is needed to save the language settings.	session	HTTP	Meta (Facebook)
pl	Required for Facebook Pixel.	2 years	HTTP	Meta (Facebook)
lu	Required for Facebook Pixel.	2 years	HTTP	Meta (Facebook)
c_user	Required for Facebook Pixel.	3 months	HTTP	Meta (Facebook)
bcookie	Is needed to store browser data (marketing/tracking).	2 years	HTTP	LinkedIn
li_oatml	Is needed to identify LinkedIn members outside of LinkedIn for advertising and analytics purposes.	1 month	HTTP	LinkedIn
BizographicsOptOut	Is needed to save privacy settings.	10 years	HTTP	LinkedIn
li_sugr	Is needed to store browser data (marketing/tracking).	3 months	HTTP	LinkedIn
UserMatchHistory	Is needed to provide advertising or retargeting (marketing/tracking).	30 days	HTTP	LinkedIn
linkedin_oauth_	Is needed to provide cross-page functionality.	session	HTTP	LinkedIn
lidc	Is needed to store performed actions on the website (marketing/tracking).	1 day	HTTP	LinkedIn
bscookie	Is needed to store performed actions on the website (marketing/tracking).	2 years	HTTP	LinkedIn
X-LI-IDC	Is needed to provide cross-page functionality (marketing/tracking).	session	HTTP	LinkedIn
AnalyticsSyncHistory	Stores the time when the user was synchronized with the "lms_analytics" cookie.	30 days	HTTP	LinkedIn
lms_ads	Is needed to identify LinkedIn members outside of LinkedIn.	30 days	HTTP	LinkedIn
lms_analytics	Is needed to identify LinkedIn members for analytics purposes.	30 days	HTTP	LinkedIn
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
_guid	Is needed to identify a LinkedIn member for advertising via Google Ads.	90 days	HTTP	LinkedIn