WU (Vienna University of Economics and Business)

Project Title	DISADIST-ABM: Modeling the distributional and geographical impacts of climate-induced disasters
Institute	Research Institute for Supply Chain Management
Description	Climate change is transforming natural disaster risks, creating increasingly complex challenges for vulnerable communities. Our research project seeks to develop a sophisticated analytical approach that reveals how different socioeconomic groups experience the economic impacts of climate-related events. The Challenge:Natural disasters do not affect all populations uniformly. Economic vulnerabilities are geographically and demographically concentrated, yet traditional research methods have struggled to capture these nuanced distributional effects. Our project aims to address this critical knowledge gap. Methodology:Leveraging advanced computational modeling techniques, we will: Develop a comprehensive digital representation of the Austrian population Reconstruct intricate business supply chain networks Integrate spatially precise disaster risk information for environmental hazards like floods By utilizing state-of-the-art agent-based modeling, we can simulate precise economic disruption scenarios across diverse population segments. Our approach is deeply rooted in model validation using so-called back-testing methods. This means that we will feed historical data on natural disasters into our model and test how well our model would have predicted economic impacts during those episodes. Contributions:Our approach will: Investigate localized and demographic-specific economic vulnerabilities Identify populations most susceptible to climate disaster impacts Generate actionable policy recommendations for targeted community support This research represents a significant advancement in climate adaptation strategies, offering policymakers and stakeholders a more granular understanding of economic resilience and vulnerability.
Duration	02/2025-01/2028
Funding Agency	FWF Principal Investigator Project
External Partners	CENTAI (CENTer for Artificial Intelligence) – Turin, ItalyUniversity College London (UCL), United Kingdom
Contact	Anton Pichler, anton.pichler@wu.ac.at

Project Title	CREATE_AT- Circular business models and supporting policies for timber supply chains in the Austrian construction industry
Institute	Research Institute for Supply Chain Management
Description	The goal of the project is to identify the potential of innovative circular business models for timber as a construction material and to provide policy recommendations for a sustainable transformation of the Austrian construction sector in line with the goals of a circular economy. To address our aim, the project will adopt a multi-method approach integrating insights from empirical investigations, game theory and system dynamics models. We will quantitatively study the possible trade-offs for different policies and scenarios. To provide a holistic view, policies will be compared based on key performance indicators that are derived based on a thorough analysis of the SDGs.
Duration	09/2024-08/2027
Funding Agency	FFG - Austrian Climate Research Programme (ACRP) – 16th Call
External Partner	Fachhochschule St. Pölten
Contact	Lena Silbermayr lena.silbermayr@wu.ac.at Vera Hemmelmayr vera.hemmelmayr@wu.ac.at Tina Wakolbinger tina.wakolbinger@wu.ac.at

Project Title	Sustainable Urban Deliveries
Institute	Research Institute for Supply Chain Management
Description	In this project, we are considering the potential of novel, green urban delivery concepts. These concepts are typically based on two-echelon delivery approaches where synchronization between larger vehicles and smaller (green) modes of transport is necessary to transfer goods. The green transport modes we plan to take into consideration are cargo-bikes, walking couriers as well as electric robots. The objective of this project is to develop a scientific frame allowing to address decision making problems on strategical, tactical, and operational levels for deploying sustainable distribution modes in a multi-echelon setting. The overarching goal is to show that deliveries can be carried out by carbon neutral and less harmful modes of transport in an urban setting, while remaining economically viable and fulfilling the needs of the citizens.
Duration	2024-2028
Funding Agency	FWF
Contact	Vera Hemmelmayr vera.hemmelmayr@wu.ac.at Hai Yen Luu hai.yen.luu@wu.ac.at Jakob Puchinger

Project Title	Improving the performance of railway systems by using real-time algorithms in disruption management
Institute	Research Institute for Supply Chain Management
Description	The project deals with improving the performance of railway systems by developing real-time algorithms for disruption management. Due to disruptions, the timetable, the rolling stock circulation plan and the crew schedule have to be changed. In contrast to the problems in the planning phase, short runtimes of the algorithms are essential, since decisions have to be made in real-time. In the course of the digital transformation, the disruption management process relies on algorithmic decision support. We will compare the use of optimization algorithms to the current manual planning to investigate the effect of digital transformation of disruption management on the performance of the railway system.
Duration	11/23 - 4/27
Funding Agency	OeNB Jubiläumsfonds
Contact	Vera Hemmelmayr vera.hemmelmayr@wu.ac.at Roberto Rosati robertomaria.rosati@wu.ac.atValentina Cacchiani

Project Title	Sustainability initiatives in urban freight transportation in Europe
Institute	Research Institute for Supply Chain Management
Description	The aim of the project is to review recent sustainability initiatives in urban freight transport in Europe. In the context of this project, we define as "initiative" any action taken by a public or private entity with the aim of improving the sustainability of freight transportation in the city, be it economic, environmental or social sustainability. The aim is to collect the most recent initiatives, analyze and categorize them. We will assess the applicability and benefits of these initiatives and come up with recommendations for the city of Vienna.
Duration	8/2022-06/2023
Funding Agency	Jubiläumsfonds der Stadt Wien für die Wirtschaftsuniversität Wien
Contact	Vera Hemmelmayr vera.hemmelmayr@wu.ac.at Fabien Tricoire Fabien.tricoire@wu.ac.at Belma Turan belma.turan@wu.ac.at Kristian Galambos Alexa Hernandez

Project Title	Electric scooters in the city of Vienna: Assessing the problems and need for optimization in handling the e-scooter fleets on the streets in Vienna
Institute	Research Institute for Supply Chain Management
Description	The aim of this project is to investigate how the Austrian market of rental e-scooters has developed since the rental companies introduced the e-scooters in late 2018. Furthermore, we want to investigate what are the chances and challenges of using e-scooters compared to the other modes of transport in the city of Vienna. The goal is to identify the problems and potentials for optimization within e-scooter companies, such as the problems of scooter collection from the streets and their re-charging. Additionally, we want to determine the problems and risks that e-scooters impose on the city of Vienna.
Duration	10/2021-03/2022
Funding Agency	Jubiläumsfonds der Stadt Wien für die Wirtschaftsuniversität Wien
Contact	Tina Wakolbinger tina.wakolbinger@wu.ac.at Belma Turan belma.turan@wu.ac.at

Project Title	INNS’PAKET
Institute	Research Institute for Supply Chain Management
Description	The aim of the project is to create an economically efficient, effective and sustainable transport logistics system for the central Tyrol area, not only for the inner-city area of Innsbruck, through cooperation between business, research and administration.
Duration	04/2020-09/2021
Funding Agency	FFG
External Partners	Universität Innsbruck Xvise innovative logistics GmbH Amt der Tiroler Landesregierung WU Wien Institut für Zivil- und Zivilverfahrensrecht
Link	INNS'PAKET (ffg.at)
Contact	Belma Turan belma.turan@wu.ac.at Vera Hemmelmayr vera.hemmelmayr@wu.ac.at

Project Title	MUKE - Meta-Untersuchung kritischer Erfolgsfaktoren von Lösungen im Bereich Güterverkehr und Transportlogistik
Institute	Research Institute for Supply Chain Management
Description	The aim of the project is to identify crucial barriers for innovation implementation by analyzing finalized, non-implemented projects. Based on these findings recommendations for action and solution approaches are developed in order to create more suitable legal framework conditions and increased acceptance through mind-set and awareness building for the implementation of innovations
Duration	03/2020-02/2021
Funding Agency	FFG
External Partners	tbw research GesmbH - Osterreich, WU Wien Institut für Österreichisches und Europäisches Öffentliches Recht
Link	MUKE (ffg.at)
Contact	Vera Hemmelmayr vera.hemmelmayr@wu.ac.at Belma Turan belma.turan@wu.ac.at

Project Title	Rail Backbone PI
Institute	Research Institute for Supply Chain Management
Description	The Physical Internet and synchromodality are concepts that should make future transport more efficient and climate-friendly. In these concepts, flexibility in planning is of utmost importance. On the other hand, the planning of the freight wagon portfolio and the associated equipment at railway companies is an extremely complex matter, in which planning decisions usually have to be made years in advance. The goal of the project is to advance the anticipative wagon fleet planning and to develop models that make capacity planning faster, easier and more flexible. To this end an integrated planning system for optimal wagon fleet planning under uncertainty is developed.
Duration	01/2019- 04/2021
Funding Agency	FFG
External Partners	Fraunhofer Austria Research GmbH (FhA) Rail Cargo Austria AG (RCA) craftworks GmbH (CW)
Link	Backbone PI: Rail (ffg.at)
Contact	Vera Hemmelmayr vera.hemmelmayr@wu.ac.at Martin Hrusovsky Martin.Hrusovsky@wu.ac.at Tina Wakolbinger tina.wakolbinger@wu.ac.at

Project title	MiHu - Analyse von Kooperationsmöglichkeiten für urbane Midi-Hubs
Institute	Research Institute for Supply Chain Management
Description	The project is dedicated to the selection of locations as well as the analysis of operations and cooperation opportunities within a cooperative midi-hub. Based on a generic AHP model, an assessment framework for potentially suitable locations for a midi-hub within a city is worked out and tested for Vienna. Area management, layout planning, multi-use options within the midi-hub, and changes in traffic through the midi-hub are explored in a cross-stakeholder approach through the integration of an agent-based simulation and optimization model. Recommendations for cooperative midi-hub are given.
Duration	09/2018 - 08/2020
Funding Agency	FFG
External Partners	Boku Wien – Institute of Production and LogisticsAustrian Mobility Research, FGM-AMORMA18 der Stadt WienLogisticNetwork Consultants GmbH
Link	MiHu (ffg.at)
Contact	Alexandra Anderluh alexandra.anderluh@wu.ac.at Vera Hemmelmayr vera.hemmelmayr@wu.ac.at

Project title	KoopHubs - Konzeption eines nachhaltigen, kooperativen, zweistufigen Distributionssystems für Kleinsendungen in der Stadt Wien
Institute	Institute for Transport and Logistics Management Research Institute for Supply Chain Management
Description	The aim of the project is the development of a city-wide, two-stage logistics concept with micro-hubs, "Grätzl"-hubs and City Distribution Centers for the distribution of urban small consignments through cross-industry business co-operations. Sustainable urban development can hereby be improved by enriching the micro-hubs with additional social functions, thereby counteracting problems in urban land use and exploitation. In the inner-city area, the dynamic use of cargo bikes for the last mile should be carried out, with a sensible complement of low-emission trucks. In addition, optimized cooperation and operator models for the hubs will be determined, as well as a functional verification with real data using the example of the City of Vienna.
Duration	08/2018 - 01/2021
Funding Agency	FFG
External Partners	AIT Austrian Institute of Technology GmbHAustrian Postgredata IT-Solutions e.U.Austrian Mobility Research, FGM-AMORTPA European & Technology Consultants GmbHGoodville Mobility OG
Link	KoopHubs (ffg.at)
Contact	Alexandra Anderluh alexandra.anderluh@wu.ac.at Tina Wakolbinger tina.wakolbinger@wu.ac.at Sebastian Kummer sebastian.kummer@wu.ac.at David Martin Herold david.martin.herold@wu.ac.at

Project title	Stadtlogistik 2030+
Institute	Research Institute for Supply Chain Management
Description	The aim of the project is to create an origin-destination-model of freight traffic flows of selected sectors in the City of Vienna. Based on this model certain measures can be evaluated for their suitability with regard to emission reduction, quality of supply/disposal and economic efficiency. Specifically, the shift to low emission / non-emission vehicles, multimodal transport incorporating, for example subways, trams or the Danube canal, as well as the use of consolidation centers is taken into account.
Duration	08/2018 - 07/2019
Funding Agency	Wirtschaftskammer Wien
Contact	Alexandra Anderluh alexandra.anderluh@wu.ac.at Tina Wakolbinger tina.wakolbinger@wu.ac.at

Project title	Mikrodepots in Wien
Institute	Research Institute for Supply Chain Management
Description	The aim of the project is to assess and evaluate potential locations for micro-depots as warehousing and reloading points in the City of Vienna in order to support and accelerate the use of cargo bikes as emission-free delivery vehicles in inner-city freight delivery.
Duration	12/2017 – 07/2018
Funding Agency	Jubiläumsfonds der Stadt Wien für die Wirtschaftsuniversität Wien
Contact	Alexandra Anderluh alexandra.anderluh@wu.ac.at Vera Hemmelmayr vera.hemmelmayr@wu.ac.at
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Projekt title	Virtual Logistics Service Provider
Institute	Research Institute for Supply Chain Management
Duration	until 07/2017
Funding Agency	FFG
External Partners	Hutchison Drei Austria GmbH
Contact	Tina Wakolbinger tina.wakolbinger@wu.ac.at Alfred Taudes alfred.taudes@wu.ac.at

Project title	Outsourcing Humanitarian Logistics Activities to Commercial Logistics Providers: Optimal Pricing Policies and Contracts Design
Institute	Research Institute for Supply Chain Management
Descritpion	The objective of this research project is to determine which logistics activities of humanitarian disaster relief organizations could be outsourced to commercial logistics providers and which contract designs and pricing policies can make sure that these outsourcing activities are beneficial for humanitarian aid agencies as well as commercial ligistics Providers.
Duration	Summer 2014 - Winter 2018
Funding Agency	FWF Austrian Science Fund
Contact	Tina Wakolbinger tina.wakolbinger@wu.ac.at Ioanna Falagara Sigala ioanna.falagara.sigala@wu.ac.at Timo Goßler timo.gossler@wu.ac.at

Project title	COONCOORD Consolidation and Coordination in Urban Areas
Institute	Research Institute for Supply Chain Management
Description	The project focuses on the important area of city logistics. It investigates an integrated urban freight simulation environment, a unique measurement framework for the environmental footprint of transport and logistics, and the performance measurement of new innovative urban transport and logistics concepts. The fundamental idea is to stop considering each shipment, actor and vehicle in isolation, but as components of an integrated logistics system to be optimized. The keywords are CONsolidation and COORDination (CONCOORD) of the urban distribution flows that are currently fragmented.
Duration	05/2013 - 12/2016
External partner	Eindhoven University of Technology, University of Twente, Technical University Denmark, Middle East Technical University, Proctor and Gamble, DINALOG, Binnenstadtservice
Funding Agency	FFG, Joint Programming Initiative Urban Europe
Contact	Vera Hemmelmayr vera.hemmelmayr@wu.ac.at Alexandra Anderluh alexandra.anderluh@wu.ac.at Tina Wakolbinger tina.wakolbinger@wu.ac.at

Project title	Analyse der Machbarkeit und wirtschaftliche Beurteilung von güterspezifischen verkehrspolitischen Maßnahmen zur Verlagerung von der Straße auf die Schiene auf der Brennerachse
Institute	Research Institute for Supply Chain Management
Description	Die Umweltproblematik des Straßengütervekehrs wird an den Alpenübergängen deutlich sichtbar. Das im Rahmen des Alpenraumprgramms der EU gefördert Projekt "TRANSITECTS 3" beschäftigt sich mit dieser Thematik und forscht nach Lösungen für eine nachhaltigere Gestaltung der Verkehre in den sensiblen alpinen Regionen.
Duration	04/2010 - 11/2011
External partner	Österreichisches Bundesministerium für Verkehr, Innovation und Technologie, Abteilung Kombinierter Verkehr 1/K4, Amt der Tiroler Landesregierung, Abteilung Verkehrsplanung
Contact	Sebastian Kummer sebastian.kummer@wu.ac.at Sandra Eitler Richard Kerschner Andrea Wittmann

Project title	Research Project: The Future of Procurement: Acquisition Trends
Institute	Research Institute for Supply Chain Management
Despcription	Procurement, or the purchasing of goods and services, is a challenging and complex field: Not only should the appropriate goods and services be procured at the best possible cost, they must also meet the needs of the purchaser in terms of quality, quantity,, timing, and location. an empirical sutdy conducted at WU´s Research Institute for Supply Chain Management investigated the most important purchasing trends up to the year 2020.
Duration	03/2010-06/2010
External partner	Spring Procurement
Contact	Sebastian Kummer sebastian.kummer@wu.ac.at Sandra Eitler

Project title	MIT Forums Supply Chain Management Innovation
Function	Function im wissenschaftlichen Gremium, Director der Europäischen Sektion Supply Chain Innovation
Duration	2006-2011
External partner	Jammernegg, Taudes, Fischer, Institut für Transportwirtschaft und Logistik, (Kooperationsinstitut)
Contact	Sebastian Kummer sebastian.kummer@wu.ac.at

Project title	Einsatz von Lastenfahrrädern zu innerstädtischen Güterlieferung – ein Städtevergleich und Best Practice Empfehlungen für die Stadt Wien
Institute	Research Institute for Supply Chain Management
Description	A main goal of the smart city strategy of the City of Vienna is to decrease the number of fossil-fueled vehicles within the city. This can be reached by using cargo bikes for freight transport in urban areas. Although cycling per se enjoys increasing popularity in Vienna, the number of cargo bikes used for commercial transport is still low. This project compares the situation for the commercial use of cargo bikes in Vienna with the respective situation in Budapest, Munich and Copenhagen based on a literature review as well as on expert interviews. Subsequently, the results are transformed into recommendations for measures appropriate to increase the number of commercially used cargo bikes in the City of Vienna.
Duration	05/2016-10/2016
Funding Agency	Jubiläumsfond der Stadt Wien für die Wirtschaftsuniversität Wien
Contact	Alexandra Anderluh alexandra.anderluh@wu.ac.at Vera Hemmelmayr vera.hemmelmayr@wu.ac.at Tina Wakolbinger tina.wakolbinger@wu.ac.at
Download	Final Report

Name	Purpose	Lifetime	Provider
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hjSessionBenutzer_	Set when a user first lands on a page. Persists the Hotjar User ID which is unique to that site. Hotjar does not track users across different sites. Ensures data from subsequent visits to the same site are attributed to the same user ID.	1 year	Hotjar
_hjid	This is an old cookie which is not set anymore, but if a user has it unexpired in their browser. It will be reused and migrated to _hjSessionUser_{site_id}. Set when a user first lands on a page. Persists the Hotjar User ID which is unique to that site. Ensures data from subsequent visits to the same site are attributed to the same user ID.	1 year	Hotjar
_hjFirstSeen	Identifies a new users first session. Used by Recording filters to identify new user sessions.	30 minutes	Hotjar
_hjHasCachedUserAttributes	Enables us to know whether the data set in _hjUserAttributes Local Storage item is up to date or not.	session	Hotjar
_hjUserAttributesHash	Enables us to know when any User Attribute has changed and needs to be updated.	2 minutes	Hotjar
_hjBenutzerAttribute	Stores User Attributes sent through the Hotjar Identify API. No explicit expiration.	session	Hotjar
hjViewportId	Stores user viewport details such as size and dimensions.	session	Hotjar
hjActiveViewportIds	Stores user active viewports IDs. Stores an expirationTimestamp that is used to validate active viewports on script initialization.	session	Hotjar
_hjSession_	Holds current session data. Ensures subsequent requests in the session window are attributed to the same session.	30 minutes	Hotjar
_hjSessionTooLarge	Causes Hotjar to stop collecting data if a session becomes too large. Determined automatically by a signal from the server if the session size exceeds the limit.	1 hour	Hotjar
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_hjIncludedInSessionSample_	Set to determine if a user is included in the data sampling defined by your site's daily session limit.	2 minutes	Hotjar
_hjAbsoluteSessionInProgress	Used to detect the first pageview session of a user.	30 minutes	Hotjar
_hjTLDTest	We try to store the _hjTLDTest cookie for different URL substring alternatives until it fails. Enables us to try to determine the most generic cookie path to use, instead of page hostname. It means that cookies can be shared across subdomains (where applicable). After this check, the cookie is removed.	session	Hotjar

Name	Purpose	Lifetime	Provider
test_cookie	Is set as a test to check whether the browser allows cookies to be set. Does not contain any identification features.	15 minute	Google
IDE	Contains a randomly generated user ID. Using this ID, Google can recognize the user across different websites across domains and display personalized advertising.	1 year	Google
_gcl_au	Contains a randomly generated user ID.	90 day	Google
_gcl_aw	This cookie is set when a user clicks on a Google ad on the website. It contains information about which ad was clicked.	90 day	Google
xs	Used to maintain a Facebook session. It works in combination with the c_user cookie to authenticate the user's identity on Facebook.	1 year	Facebook
fr	Used to serve advertisements and measure and improve their relevance.	90 day	Facebook
m_pixel_ratio	Performance cookie used by Facebook with Facebook pixels.	session	Facebook
wd	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.	7 day	Facebook
dpr	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.	7 day	Facebook
sb	Used to save browser details and Facebook account security information.	2 year	Facebook
dbln	Used to save browser details and Facebook account security information.	2 year	Facebook
spin	Cookie for advertising purposes and reporting on social campaigns.	session	Facebook
presence	Contains the "Chat" status of a logged in user.	1 month	Facebook
x-referer	Performance cookie that is used by Facebook in combination with Facebook pixels.	session	Facebook
cppo	Cookie for statistical purposes.	90 day	Facebook
datr	Identifies the browser for security and website integrity purposes, including account recovery and identification of potentially compromised accounts.	2 year	Facebook
locale	Saves language settings.	session	Facebook
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UserMatchHistory	This cookie is used to synchronize the LinkedIn Ads IDs.	30 day	LinkedIn
AnalyticsSyncHistory	This cookie saves the time at which the user was synchronized with the "lms_analytics" cookie.	30 day	LinkedIn
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lms_analytics	This cookie is used to identify LinkedIn members for analysis purposes.	30 day	LinkedIn
li_fat_id	This cookie is an indirect member identification that is used for conversion tracking, retargeting and analysis.	30 day	LinkedIn
li_sugr	This cookie is used to determine probabilistic matches of the identity of a user.	90 day	LinkedIn
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BizographicsOptOut	This cookie is used to determine the rejection status for tracking by third-party providers.	10 year	LinkedIn
lidc	This cookie makes it easier to select LinkedIn's data center.	24 hours	LinkedIn
aam_uuid	This cookie is used for ID synchronization with Adobe Audience Manager.	30 days	LinkedIn
AMCV_XXX_at_AdobeOrg	This cookie contains a unique identifier for the Adobe Experience Cloud.	180 days	LinkedIn
li_mc	This cookie is used as a temporary cache. It is used to have the user's consent information from the database available client side.	2 years	LinkedIn
lang	This cookie stores the language settings of a user. This ensures that the LinkedIn.com website appears in the language selected by the user.	session	LinkedIn
twll	This cookie is set when X is embedded on the page. X collects data that is mainly used for tracking and targeting.	4 year	X
secure_session	This cookie is set when X is embedded on the page. E.g. X's like or sharing functions.	14 year	X
guest_id	This cookie is set by X when a visitor shares content from the WU website on X.	2 year	X
personalization_id	This cookie is set by X to measure the performance of X advertising campaigns in a user's browsers and devices	2 year	X
remember_checked	This cookie is set by when X is embedded on the page. X collects data that is mainly used for tracking and targeting.	4 year	X
remember_checked_on	This cookie is set when X is embedded on the page. E.g. X's like or sharing functions.	4 year	X
mbox	This cookie is intended for identifying X users, for analyzing interaction with the X Service and advertising whitin the service.	2 years	X
guest_id_ads	This cookie is set due to X integration and for sharing content to social media.	10 months	X
d_prefs	This cookie ist used to check referral links and the login status.	90 days	X
ct0	This cookie is set due to X integration and sharing capabilities for the social media.	10 months	X
kdt	This cookie is used to monitor the users login status on X.	10 months	X
guest_id_marketing	This cookie is set for tracking and analytics purposes.	10 months	X
twid	This cookie checks if you are logged in to X during a browser session.	1 year	X
auth_token	This cookie is required for authentication and checks whether the user is logged in.	10 months	X
external_referer	This cookie collects statistical data, including how often you visit X and how long a user stays on X.	1 day	X
NID	This cookie contains a unique ID that is used to save user-specific settings and other information, in particular your preferred language, how many search results should be displayed per page and whether the Google SafeSearch filter should be activated.	6 month	YouTube
1P_JAR	This Google cookie is used to optimize advertising, to provide ads that are relevant to users, to improve reports on campaign performance or to prevent a user from seeing the same ads multiple times.	1 month	YouTube
CONSENT	This cookie is used to support Google's advertising services.	20 year	YouTube
OTZ	Aggregated analysis of website visitors.	17 day	YouTube

Projects

Rail Backbone PI