Publikationen

Die Publikationen stammen aus dem Forschungsinformationssystem der UHH. Publikationen der Medizin finden Sie im Portal der Medizin.

@article{d691393f976d45ca80a9654403164979,

title = "Algae-Based Coatings for Fully Bio-Based and Colored Textile Products",

abstract = "Utilizing natural fibers for production of a fully bio-based textile is an appropriate approach to align with sustainability objectives. In case of dyed products, the used dye and further finishing agents also have to be bio-based. Algae-based materials are naturally colored and can be used as a natural dye product. The present study aims to investigate the use of algae materials as a color pigment for coating on cotton as a natural fiber material using a bio-based binder. Three different algae representing blue-green algae (BGA), unicellular microalgae (UNI), and filamentous algae (FIL) are investigated as colored additives for textile coatings. The algae are applied as powder to the coating recipe together with sodium alginate as binder component. Modification of the application is conducted by addition of calcium dichloride (CaCl2) acting as a crosslinker for the natural binder system. Using these applications, strong coloration of cotton fabrics can be achieved. Scanning electron microscopy (SEM), infrared spectroscopy (FT-IR), color measurements, light fastness tests, and tests on the rubbing fastness are performed. Good values in rubbing and light fastness are reached (4–5 and 5, respectively) depending on the used algae material and the addition of calcium dichloride. Applications using the algae BGA and UNI perform better due to light fastness. In contrast, applications with the filamentous algae FIL lead to better rubbing fastness. The present study confirms that the proposed technique and formulations are appropriate for achieving fully bio-based, naturally colored textile products, offering a promising foundation for further research into and development of the use of algae for the modification and functionalization of textile materials.",

keywords = "algae, calcium dichloride, dyeing, light fastness, print, sodium alginate, textile coating",

author = "Leon Blanckart and Munasinghe, {Emalika Ayomani} and Ellen Bendt and Rahaman, {MD Atiqur} and Abdelfatah Abomohra and Boris Mahltig",

year = "2025",

month = jan,

day = "8",

doi = "10.3390/textiles5010003",

language = "English",

volume = "5",

journal = "Textiles",

number = "1",

@article{ba49a7928a2341ea945fe8072e69d421,

title = "Commuting mode and university students{\textquoteright} wellbeing: investigating the role of effort on subjective wellbeing and perceived autonomy",

abstract = "Introduction This study highlights the significant impact of commuting on the wellbeing of university students and examines the effects of commuting effort across different modes on students{\textquoteright} perceived autonomy (decisional and affective) and subjective wellbeing (cognitive and affective). Methods Conducting a survey among 208 university students in Hamburg, Germany, the study used structural equation modeling to investigate how the effort level associated with commuting (classified as low, medium, high) influences wellbeing dimensions. Results Findings show that high-effort commuting modes positively correlate with decisional autonomy and cognitive wellbeing. Furthermore, both high- and low-effort commuting modes enhance affective autonomy, while intermodal commuting negatively affects it. The research also indicates that the need for autonomy moderates the relationship between low-effort commuting modes and affective autonomy. ConclusionsThese insights provide guidance for universities seeking to improve student wellbeing and policymakers focused on urban planning and transportation strategies, especially in large urban areas such as Hamburg.",

keywords = "Subjective wellbeing, Cognitive wellbeing, Affective wellbeing, Perceived autonomy, Effort, Commuting mode",

author = "Finn Simonn and Nadja Schweiggart and Shah, {Adnan Muhammad} and Haoye Sun",

year = "2025",

month = jun,

doi = "10.1016/j.jth.2025.102017",

language = "English",

volume = "42",

journal = "Journal of Transport & Health",

issn = "2214-1405",

publisher = "Elsevier Limited",

@article{cd88e38bddd840d99298faad1ee8ac85,

title = "Entwicklung von ML-basierten Vorhersagesystemen f{\"u}r den Energieverbrauch von Elektrobussen im {\"o}ffentlichen Nahverkehr",

abstract = "Die Transformation des {\"o}ffentlichen Personennahverkehrs ({\"O}PNV) hin zu emissionsneutralen Antrieben ist f{\"u}r die Erreichung der Nachhaltigkeitsziele der UN als auch nationaler Strategien unabdingbar. In der EU wird dies insbesondere durch den European Green Deal forciert, der vorschreibt, dass alle {\"O}PNV-Betriebe ihr Fahrzeugflotten bis 2050 auf nachhaltige Antriebstechnologien umstellen m{\"u}ssen. Dies erfolgt in Abw{\"a}gung zwischen Kosten und Emissionen aktuell in erster Linie mit der Beschaffung und Inbetriebnahme elektrisch betriebener Busse (E-Busse). Betrieb und Einsatz weichen dabei von klassischen Dieselbussen ab, da die Reichweiten begrenzt und zudem von zahlreichen Faktoren abh{\"a}ngen. Erste adaptive, auf Machine Learning (ML) basierende Ans{\"a}tze f{\"u}r die Vorhersage des Energieverbrauchs wurden bereits in der Wissenschaft untersucht, bleiben aber meist theoretischer Natur und eine praxisnahe Betrachtung unter Einbezug betrieblicher Daten fehlt. Der vorliegende Beitrag schlie{\ss}t diese L{\"u}cke und stellt die Ergebnisse, die in Kooperation mit der Hamburger Hochbahn AG erarbeitet wurden, vor. Mit einem anwendungszentrierten und gestaltungsorientierten Ansatz sind betriebliche Daten analysiert, f{\"u}nfzehn Experteninterviews durchgef{\"u}hrt und mehrere ML-Modelle trainiert worden, um Energieverbr{\"a}uche von E‑Bussen mit einer durchschnittlichen Abweichung von unter 0,4 % zuverl{\"a}ssig vorherzusagen. Dies als auch identifizierte Herausforderungen und acht fundierte Gestaltungsempfehlungen, die die Entwicklung von Vorhersagensystemen f{\"u}r E‑Busse unterst{\"u}tzen, werden im Folgenden beschrieben, um die Transformation hin zur nachhaltigen und effizienten Mobilit{\"a}t zu f{\"o}rdern.",

keywords = "{\"O}PNV, E-Busbetrieb, Maschine Learning, Data Science, Smart Mobility, Energie Vorhersagesystem",

author = "Marten Borchers and Hauke Volquardsen and Jan Willruth and Enrico Milutzki and Martin Semmann and Eva Bittner",

year = "2025",

month = may,

day = "21",

doi = "10.1365/s40702-025-01185-5",

language = "Deutsch",

journal = "HMD Praxis der Wirtschaftsinformatik",

issn = "1436-3011",

publisher = "Springer Fachmedien Wiesbaden GmbH",

@article{31a0272af29a4bd7bf1bdcd92eb96788,

title = "Towards a socio-ecological system understanding of urban flood risk and barriers to climate change adaptation using causal loop diagrams",

abstract = "While cities are facing increasing challenges of flood risk due to combined effects of climate change and socioeconomic development, understanding of the complexity of urban flood risk is still limited, hampering decision-making and urban adaptation planning. This study presents a qualitative system dynamics modelling framework to investigate urban flood risk and adaptation under climate change in a coupled socio-ecological system, the city of Hamburg. The developed integrated conceptual model provides a holistic understanding of key physical and socio-economic processes and the role of feedback loops underlying the urban system, and contributes to the understanding of vicious cycles of barriers that perpetuate and hinder adaptation processes within cities. The qualitative approach can help to break down silo-thinking in urban flood risk assessments. Decision-makers could use the framework to understand the complexity of interactions among multiple drivers of flood risk to overcome barriers and lock-in effects to adaptation in cities.",

keywords = "barriers to urban adaptation, causal loop diagrams, climate change adaptation, feedback loops, participatory modelling, socio-ecological system analysis, system dynamics modelling, urban flood risk",

author = "Hanf, {Franziska Stefanie} and Felix Ament and Marita Boettcher and Finn Burgemeister and Lidia Gaslikova and Peter Hoffmann and J{\"o}rg Knieling and Volker Matthias and Linda Meier and Johannes Pein and Benjamin Poschlod and Markus Quante and Leonie Ratzke and Elisabeth Rudolph and J{\"u}rgen Scheffran and Schl{\"u}nzen, {K. Heinke} and Nima Shokri and Jana Sillmann and Anastasia Vogelbacher and {von Szombathely}, Malte and Martin Wickel",

year = "2025",

month = apr,

day = "4",

doi = "10.1080/19463138.2025.2474399",

language = "English",

volume = "17",

pages = "69--102",

journal = "International Journal of Urban Sustainable Development",

issn = "1946-3146",

publisher = "Taylor and Francis",

number = "1",

@article{7ff04cec85064775a4aea76720e85067,

title = "Unveiling the potential of freshwater filamentous algae as a promising alternative source of essential fatty acids and bioactive carotenoids",

abstract = "Developing a sustainable and cost-effective food source enriched with essential fatty acids (EFAs) and other bioactive compounds, while minimizing the environmental impact, remains a significant challenge nowadays. In that regard, filamentous algae can be harvested more easily and at a lower cost compared to unicellular microalgae, making large-scale production of biomass and bioactive compounds more eco-friendly. The present study explores the potential of freshwater filamentous algae as a promising source for value-added products, particularly EFAs and bioactive pigments. The study involved an initial screening of 91 filamentous algae strains from the Microalgae and Zygnematophyceae Collection Hamburg (MZCH) to identify isolates with high growth rate. Eleven promising candidates were selected for further biochemical evaluation. Cell dimensions showed 5.8–117.2 μm length and 6.4–56.7 μm width. This variability in cell size enhances their suitability for specific applications, such as textile industry, where larger filaments can be directly utilized in producing bio-based fibers, yarns and fabrics. Among the studied algae, Oedogonium foveolatum and Spirogyra sp. #771 showed the highest biomass concentration (dry weight) of 0.70 and 0.67 g L−1, respectively. Regarding value-added products, Hyalotheca dissiliens showed the highest carbohydrate content of 56.4 ± 2.32 % of dry weight (dw%), while Mougeotiopsis calospora showed the highest protein content of 48.0 ± 2.19 dw%. Klebsormidum nitens showed the highest total bioactive carotenoids (tBC) content of 11.5 ± 0.05 mg g−1 dw and the highest tBC concentration of 4.03 ± 0.16 mg L−1. Interestingly, Groenbladia neglecta stood out with the highest recorded lipid content of 34.4 ± 1.59 dw% and EFAs content of 14.3 ± 0.46 dw%. It also achieved a balanced ω-6/ω-3 ratio of 3.57 ± 0.03, which is optimal for dietary applications. The present study suggests G. neglecta under the mentioned growth conditions as a promising candidate for developing sustainable EFA-rich food sources, warranting further research and development.",

author = "Atiqur Rahaman and Dieter Hanelt and {von Schwartzenberg}, Klaus and Abdelfatah Abomohra",

year = "2025",

doi = "10.1016/j.algal.2025.104100",

language = "English",

volume = "89",

journal = "Algal research ",

issn = "2211-9264",

publisher = "Elsevier BV",

@article{f0fcd512e50d4cfdad438aedc86dae86,

title = "Are cities venturing green?: A global analysis of the impact of green entrepreneurship on city air pollution",

abstract = "Situated at the intersection between environmental entrepreneurship and urban sustainability, our paper seeks to investigate the links between city-level green venture ecosystems and the ability of urban centres to reduce air pollution. Using a large dataset of 12,834 urban centres from around the world and their associated yearly average particulate matter (PM2.5), we show that an increase in the cumulative number of green start-ups drives the lowering of PM2.5 levels. Looking closely at the subsectors that drive the results, we observe that the urban centres which hosted increased numbers of innovators in smart grid technologies, energy efficiency and wind energy generation (the low carbon energy sector overall) also experienced a decrease in air pollution over the 2010–2019 period. Thus, our study is a global analysis of the environmental impact of green entrepreneurship on local air pollution.",

keywords = "Air pollution, Green entrepreneurship, Impact investing, Urban entrepreneurship",

author = "Cojoianu, {Theodor F.} and Hoepner, {Andreas G.F.} and Xi Hu and Moustafa Ramadan and Paolo Veneri and Dariusz W{\'o}jcik",

note = "Publisher Copyright: {\textcopyright} The Author(s) 2023.",

year = "2024",

month = feb,

day = "1",

doi = "10.1007/s11187-023-00764-4",

language = "English",

volume = "62",

pages = "523--540",

journal = "Small Business Economics",

issn = "0921-898X",

publisher = "Springer Netherlands",

number = "2",

@article{2bce257e0ab24c9b90b85cbd12c190d4,

title = "Exploring the potential of placing charging stations at relief stands for EV fleets in ride-hailing and taxi services",

abstract = "In recent years, there has been a significant surge in the adoption of electric vehicles (EVs) in public transportation services, particularly in sectors like bus and taxi operations. This paper focuses on the management of EV fleets within the specific framework of ride-hailing services. To comprehensively assess various aspects of such a system, a Discrete Event Simulation (DES) model has been developed, with a thorough description provided herein. The DES is used to investigate various charging strategies with different levels of involvement of the dispatcher, evaluating their impact on operational efficiency and financial performance. One notable aspect explored is the potential utilization of taxi relief stands as charging station locations for EV fleets. The proposed system is analysed through a case study for New York City. Our findings underscore the pivotal role of charger quantity within the system and the level of dispatcher engagement. Leveraging real-world data, the case study provides valuable insights into the practical implementation potential of the proposed system, offering actionable guidance for future applications in this domain.",

keywords = "Charge scheduling, discrete event simulation, electric vehicle fleet, mathematical modeling, taxi service",

author = "Raka Jovanovic and {Safak Bayram}, I. and Sertac Bayhan and Stefan Voss",

note = "Publisher Copyright: {\textcopyright} 2013 IEEE.",

year = "2024",

month = aug,

day = "29",

doi = "10.1109/ACCESS.2024.3451490",

language = "English",

volume = "12",

pages = "122249--122261",

journal = "IEEE Access",

issn = "2169-3536",

publisher = "Institute of Electrical and Electronics Engineers Inc.",