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Instructors: Balázs Cserpes; Dr. Dr. Rafael Milani Medeiros
Event type:
Seminar
Org-unit: Fachübergreifende Studienangebote
Displayed in timetable as:
One Square Kilometre World Culture. Stories and Perspectives on Jerusalem
Crediting for:
Hours per week:
2
Location:
Hamburg
Language of instruction:
Englisch
Min. | Max. participants:
- | 1
Registration group: Q-Studies Bachelor
Grading:
Beschreibung:
In this cutting-edge bachelor module tailored for students specializing in urban planning and design, we delve into the transformative realm of urban bicycling—a domain that has long been marginalized in both the global north and south. Despite experiencing a renaissance in recent decades across academic research, political discourse, sustainability activism, and urban planning, the critical challenge persists: cities often grapple with insufficient and unreliable data. While digitization has ushered in a plethora of data sources, the imperative remains to validate and compare this information with insights gleaned from traditional travel surveys.
The digital era has created an urgent demand for urban professionals versed in digital data-driven bicycling infrastructure planning and design. Against the backdrop of the COVID-19 pandemic, the surge in bicycling and associated road facilities has underscored the need for a specialized focus on cycling infrastructure safety, convenience, and attractiveness.
This comprehensive course is grounded in peer-reviewed research on urban bicycling infrastructure, encompassing planning, engineering, and design. Remarkably, no prior knowledge in coding or Geographic Information System (GIS) is required—just a keen interest and commitment to acquiring the basics.
The curriculum is meticulously structured to seamlessly integrate theory with experimental research. Students are actively engaged in the collection of data using their smartphones and specialized applications, focusing on routes, treatment, mapping, and analysis of data points. Drawing from public institutions and the expansive digital footprint of private companies, the course explores the wealth of data generated over the past decade, which has become omnipresent in cities worldwide.
A pivotal aspect of the course involves the application of data mining techniques to unravel the intricate relationships and spatiotemporal variations in bicycling volumes and crashes. This integrated analysis extends to revealing the distribution of and correlations between datasets and the city's bikeway network at an unprecedented level. The curriculum introduces students to GIS through Kepler, provides a foundational understanding of Jupiter for coding and big data analysis, and instills proficiency in spatiotemporal data collection and conversion into different file extensions such as GML and Json.
Utilizing the Hamburg bicycle network as a case study and observational unit, students gain hands-on experience in identifying missing data points and attributes within existing datasets. Through collaborative efforts, they collect structured data encompassing routes, cycling speed, stops, maintenance status, and photographs, enriching the datasets for in-depth analysis. Employing open-source software and mobile applications, students engage in geospatial mapping on smartphones, visualizing the collected data on maps for validation and preliminary analysis.
Furthermore, the course fosters a collaborative approach by merging students' results with data collected in previous semesters. By exposing students to the basics of planning and executing georeferenced data collection, the module equips them with the skills needed for (automated) analysis in their future research endeavors within the dynamic field of urban bicycling.
Previous knowledge in mentioned softwares are not necessary, but a willingness to try them out with the support and supervision of the teaching team.
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