HFTor - HfT Open Repository (Hochschule für Technik Stuttgart)
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Guidelines for last mile connectivity with a focus on micro-mobility infrastructure planning for Smart Cities
Get PDFUrban centres are undergoing a transformation towards becoming Smart Sustainable Cities, with the integration of physical, digital, and human systems at the forefront. Smart Mobility, a crucial component of this development, integrates technology in urban areas to improve quality of life, environmental protection, and urban mobility. It aims to improve issues of urban transportation and environmental preservation, particularly in the last mile of urban journeys. The research also aims to answer the research question What are the guidelines for planning micromobility infrastructure to improve last mile connectivity in cities?
The research focuses on the Smart Mobility component of Smart Cities and addresses the issues with a specific focus on last-mile connectivity in urban transportation. The research objective is to investigate the potential of micro-mobility options such as e-scooters and e-bikes to improve sustainability and provide essential connectivity. This master thesis employs a mixed-method approach to investigate the critical factors that contribute to the success of micro-mobility infrastructure projects, user needs, and challenges, and provides practical recommendations for local authorities and urban planners. The research includes a comprehensive literature review, survey analysis, and explanatory case studies of Amsterdam and Copenhagen, in order to gain a deeper understanding and provide essential connectivity. However, this also highlights the need for better infrastructure and regulations to fully integrate these new modes of transportation into existing transit networks.
The effectiveness of the developed guidelines is validated through a comparison with the strategic plans of the Metropolitan Transportation Authority (MTA) for micro-mobility and last mile connectivity infrastructure. This comparison provides insight into how the guidelines align with the transportation infrastructure deployment and operation plans of the MTA, which are essential for ensuring the safety, efficiency, and accessibility of the transportation system while taking into account the needs of different stakeholders.
This thesis offers a comprehensive understanding of how to plan and implement micro-mobility infrastructure to enhance last-mile connectivity in cities and serves as a valuable resource for urban planners and transportation departments. Further research should be undertaken to explore how the guidelines provided in this study can be implemented in different micromobility options with varying transportation systems and urban structures
Media immersion and acceptance of technologies: Exploring the influence of virtual reality, video, and photo-based presentations using the case of air taxis
No full textThis research examines the effects of different immersive media formats—virtual reality (VR), video, and photos—on air taxi acceptance, notably concerning immersion’s ability to affect users’ perceptions and decisions. This study applied factors from the UTAUT2 model to explore how these media conditions trigger performance expectancy, effort expectancy, hedonic motivation, social influence, and reliability. The results show significant differences in the quality of immersion, with VR being the best. No differences were found in the intention to use air taxis across media formats. However, in the VR condition, the decision-making process included taking more emotional factors into account. These findings highlight the usefulness of both emotional and utilitarian factors when considering technology acceptance and, therefore, the potential of VR to increase user engagement despite a lack of impact on immediate usage intention. The research recommends further studies on the long-term effects of immersion and individual characteristics influencing the acceptance of technologies
The New 3D City Database 5.0 - Advancing 3D City Data Management based on CityGML 3.0
No full textAbstract. CityGML has become an international standard for semantic 3D city models for over 15 years, and plays a central role in various applications such as urban planning, environmental analysis, and geospatial infrastructure. The recent release of CityGML 3.0 issued by the Open Geospatial Consortium (OGC) introduces significant enhancements to the data model, which offers higher semantic richness and improved interoperability with IoT and BIM domains for urban digital twins. However, these advancements also necessitate the substantial adaptations of many existing CityGML-compliant software systems. One such system is the 3D City Database (3DCityDB), a widely used open-source geodatabase solution for managing 3D city models. This paper presents the new major version 5.0 of 3DCityDB released in early 2025 and redesigned to provide extensive support for CityGML 3.0 while also preserving compatibility with the earlier CityGML versions. The new 3DCityDB v5 introduces a completely reworked relational schema based on a generic mapping principle, which reduces the structural complexity and improves the extensibility significantly. In addition, a novel approach for geometry storage using database-native spatial types also enhances performance and enables seamless integration with third-party GIS platforms. Moreover, a new command-line interface has been developed to support efficient data importing, exporting, querying, and processing workflows. The paper details the underlying system architecture and implementation strategies, and also presents application scenarios and benchmark results. Future research and development plans are outlined as well
Wege zur Schule, Wege zur Zukunft. Verkehrsmittelwahl von Schüler:innen zwischen Sicherheit, Nachhaltigkeit und Familienalltag.
No full textDie Arbeit untersucht Einflussfaktoren auf die Verkehrsmittelwahl von Schüler:innen am Beispiel des GSG Stuttgart. Im Fokus stehen Aspekte der sozialen Teilhabe, Klimaneutralität und Verkehrssicherheit. Ziel ist die Entwicklung erster Grundlagen für ein Prognosetool, das Mobilitätsverhalten vorhersagen kann – mit dem Potenzial, Schulwege sicherer, nachhaltiger und effizienter zu gestalten.
Das übergeordnete Ziel des Projektes ist die Entzerrung von Pendelströmen zu Bildungseinrichtungen, um die Verkehrsqualität zu verbessern und einen effizienteren Ablauf des Verkehrssystems zu gewährleisten
Proposing and Demonstrating a Toolbox for Designing Bioswales and Evaluating their Impact on Sustainability Using Building Information Modelling (BIM): A Case Study Of Breitscheidstraße, Stuttgart
Get PDFBioswales are a sustainable solution for climate change adaptation and stormwater management, enhancing urban resilience. Urban areas face increasing risks of flooding and environmental challenges due to extensive impermeable surfaces and inefficient drainage systems.
Recent advancements in Building Information Modelling (BIM) provide powerful tools for designing nature-based solutions tailored to local conditions. However, their potential in the context of bioswale design remains underexplored. Integrating bioswales into urban infrastructure presents several challenges, including soil permeability, existing drainage systems, topography and land slopes, land-use constraints, and the need to develop workflows that address technical, ecological, and social dimensions.
This study employs an inductive approach, combining qualitative and quantitative methods to evaluate the design and implementation of bioswales. The research includes a case study of Breitscheidstraße in Stuttgart, where Civil 3D and InfoDrainage were used to model and analyze the effectiveness of bioswales in stormwater management. The case model analysis of Breitscheidstraße demonstrates how bioswales, as part of Sustainable Urban Drainage Systems (SuDS), can effectively retain stormwater volumes, unlike the existing drainage system, which failed under similar scenarios with a rainfall intensity of 35 mm/h. Bioswales also introduce cultural and recreational functions to the area.
This research expands the understanding of bioswale performance and their contribution to urban resilience. The developed bioswale design toolbox for my case study provides practical recommendations for urban planners and landscape architects, enabling solutions tailored to diverse environmental scenarios. Leveraging modern modeling tools like BIM ensures precise adaptation of bioswales to site-specific characteristics and project requirements. The integration of advanced design and analysis approaches improves the efficiency of bioswale implementation, contributing to the sustainable development of urban environments
Smarte Parkraumüberwachung
No full textEine ineffiziente Nutzung der Parkflächen in industriellen Liegenschaften kann betriebliche Abläufe stören, Emissionen erhöhen und den Verkehrsfluss behindern. Technische Systeme zur Kontrolle der Parkflächen und Steuerung der Belegung können die Auslastung des Parkraums verbessern. Traditionelle, sensorbasierte Systeme weisen jedoch in dynamischen Umgebungen oft eine unzureichende Präzision und Skalierbarkeit auf. KI-gestützte Kamerasysteme bieten die Möglichkeit, die Parkplatzbelegung in Echtzeit genauer zu erfassen und verschiedene Fahrzeugtypen zu unterscheiden. Dies führt zu einer effizienteren Nutzung der Parkflächen und zu einer Optimierung des Parkplatzmanagements, was wiederum die Förderung nachhaltiger Lösungen unterstützt
Context-Aware Optimal Resource Management in Electric Vehicle Smart2Charge
No full textThis thesis presents a novel approach to optimizing electric vehicle (EV) charging systems through a context-aware framework powered by deep reinforcement learning (DRL). The research addresses critical challenges in the EV ecosystem, balancing the needs of multiple stakeholders including end-users, grid operators, fleet managers, and charging station operators. At its core, a Deep Q-Network (DQN) algorithm outperforms other state-of-the-art DRL methods in managing complex, multi-objective optimization scenarios.
This work advances the field by bridging theoretical DRL models with practical EV charging implementations, offering a framework that optimizes outcomes for multiple stakeholders while promoting sustainable transportation. Through the Smart2Charge application, the research demonstrates how context-aware solutions can enhance both user experience and environmental sustainability. The application integrates real-time data including grid conditions, user preferences, charging station availability, and environmental factors to optimize charging decisions. Comprehensive testing through simulations and real-world scenarios validates the system’s effectiveness and adaptability across diverse operating conditions.
The proposed system achieves a 15% increase in overall energy efficiency, 10% reduction in charging costs for EV owners, 20% decrease in grid strain, and 10% reduction in CO₂ emissions through optimal integration of renewable energy sources. These advancements significantly contribute to both user satisfaction and environmental sustainability. This research paves the way for more intelligent, user-centric, and environmentally conscious EV charging systems, marking a significant step towards sustainable urban mobility
Transdisziplinäre Forschung als Beitrag zur urbanen Resilienz in Stuttgart
No full textEs gibt kaum partizipative Studien zum Zusammenspiel von Stadtraum und Wohlbefinden von Kindern und Jugendlichen (KiJu). Hier setzt das transdisziplinäre Projekt SURe21 an. Das Nordbahnhofviertel steht durch Stuttgart 21 vor städtebaulichen und gesellschaftlichen Herausforderungen: Wie können Bestands- und Neubaugebiet gemeinsam nachhaltig mit Fokus auf menschlichem Wohlbefinden entwickelt werden? Eine Quartiersanalyse im Mixed-Methods-Ansatz (Online-Umfrage, Magnettafelspiel, Interview, Fokusgruppen) erfasste die Wünsche junger Menschen für eine klimagerechte Stadtentwicklung
Integrating Spatial and Human-Centered Evidence for Climate-Resilient Green Belt Design: A Comparative Analysis of Erbil and Stuttgart
Get PDFAs cities confront intensifying climate stress, ecological fragmentation, and socio-spatial inequities, green infrastructure has become a key strategy for sustainable urban development. Among its forms, green belts hold distinct potential to mitigate urban heat island effects, enhance environmental quality, and improve public well-being, especially in rapidly urbanizing or climate-stressed regions. This thesis examines how green belts can be effectively designed and implemented through an integrated, human-centered lens, using a comparative analysis of two contrasting cities: Erbil, Iraq, a semi-arid city undergoing rapid growth, and Stuttgart, Germany, a mature city with established environmental planning systems. The study builds a robust comparative foundation through a mixed-methods design, combining geospatial analysis using Geographic Information Systems (GIS) and Remote Sensing to assess Land Surface Temperature (LST) and vegetation health via the Normalized Difference Vegetation Index (NDVI). In parallel, comprehensive public perception surveys with (n = 345) respondents, as well as semi-structured expert interviews, provide deep insights into planning practices and governance challenges. Findings highlight a stark contrast: Erbil faces acute thermal stress and fragmented green infrastructure, while Stuttgart demonstrates resilience through ecological continuity and strong institutional coordination. However, in both cities, residents highly value green belts, pointing to untapped opportunities for participatory engagement and governance reform.
The thesis introduces a human-centered green belt framework grounded in three core well-being dimensions (physical, mental, and social). It proposes actionable design strategies, participatory governance mechanisms, and behavioral tools. These include shaded mobility corridors, nature-learning zones, equity-focused planning, and culturally responsive spaces tailored to local needs. Significantly, the study contributes original insights into the relationship between environmental form and subjective well-being, using WHO-5 scoring to validate green space access's psychological impact empirically. Integrating technical diagnostics with lived experience moves beyond theoretical models and delivers a context-responsive blueprint for future green belt interventions. The research expands the knowledge base on urban resilience and reinforces the urgent need for inclusive, multisectoral planning models in both emerging and advanced urban systems. It offers a scalable pathway toward green infrastructure that protects climate, nurtures ecosystems, and empowers communities, making cities livable and life-enhancing
A Data-Driven Urban Digital Twin Approach for Evaluating Positive Energy District Potential Using OGC Standards in Stuttgart
No full textAbstract. This article introduces an urban digital twin workflow based on OGC standards and newly developed Energy ADE 2.0 that integrates building-scale simulations from SimStadt with district-level assessments using MAPED, connected through interactive web-based visualisation. This approach delivers a modular, open-source pipeline that harmonises multi-scale energy data and enables data-driven scenario analysis and stakeholder engagement in support of net-positive energy planning for urban districts. By connecting detailed simulation tools with standardised, spatially linked data models, the study advances the methodological foundation for assessing Positive Energy Districts (PED) using digital technologies and provides a practical decision-support system for planners and policy-makers involved in sustainable urban transformation