@article{buth2024-superblockify,title={superblockify: {{A Python Package}} for {{Automated Generation}},
{{Visualization}}, and {{Analysis}} of {{Potential Superblocks}} in {{Cities}}},shorttitle={Superblockify},author={B{\"u}th, Carlson Moses and Vybornova, Anastassia and Szell, Michael},year={2024},month=aug,journal={Journal of Open Source Software},volume={9},number={100},pages={6798},issn={2475-9066},doi={10.21105/joss.06798},url={https://joss.theoj.org/papers/10.21105/joss.06798},urldate={2024-08-14},langid={english},}
Preprint
superblockify: A Python Package for Automated Generation, Visualization, and Analysis of Potential Superblocks in Cities
Carlson Moses Büth, Anastassia Vybornova, and Michael Szell
superblockify is a Python package for partitioning an urban street network into Superblock-like neighborhoods and for visualizing and analyzing the partition results. A Superblock is a set of adjacent urban blocks where vehicular through traffic is prevented or pacified, giving priority to people walking and cycling. The Superblock blueprints and descriptive statistics generated by superblockify can be used by urban planners as a first step in a data-driven planning pipeline, or by urban data scientists as an efficient computational method to evaluate Superblock partitions. The software is licensed under AGPLv3 and is available at https://superblockify.city.
title = {superblockify: {{A Python Package}} for {{Automated Generation}}, {{Visualization}}, and {{Analysis}} of {{Potential Superblocks}} in {{Cities}}},shorttitle = {Superblockify},author = {B{\"u}th, Carlson Moses and Vybornova, Anastassia and Szell, Michael},year = {2024},month = apr,number = {arXiv:2404.15062},eprint = {2404.15062},primaryclass = {physics},publisher = {arXiv},doi = {10.48550/arXiv.2404.15062},}
2023
MSc Thesis
From Gridlocks to Greenways: Analyzing the Network Effects of Computationally Generated Low Traffic Neighborhoods
Carlson Moses Büth
AG Wittkowski @ University of Münster and NERDS @ IT University of Copenhagen, Jul 2023
This thesis investigates the impact of the spatial order of cities on the performance of presented, data-driven partitioning approaches. The study addresses two research questions: 1. How does the travel time change if all neighborhoods were Low Traffic Neighborhoods (LTNs)? 2. What LTN configuration can we suggest for different types of cities? We present a framework to analyze the impact of LTNs on travel time that utilizes Open Street Map (OSM) street data, and GHSL population data to calculate network measures, such as directness, global efficiency, average circuity, street orientation order. Central components of this work are the LTN generation, evaluation, and visualization. The evaluation of 100 global cities and 80 cities in Germany reveals that both a residential-based approach and a betweenness-based approach yield positive results, with minimal travel time increases. This research contributes to the understanding of the impact of LTNs on travel time and provides a framework for the simplified generation and evaluation of LTNs.
@phdthesis{buth2023master,author={Büth, Carlson Moses},title={From Gridlocks to Greenways: Analyzing the Network Effects of
Computationally Generated Low Traffic Neighborhoods},school={AG Wittkowski @ University of Münster and NERDS @ IT University of
Copenhagen},year={2023},month=jul,doi={10.13140/RG.2.2.26204.36481},}
Review
Effectiveness of Bicycle Helmets and Injury Prevention: A Systematic Review of Meta-Analyses
To mitigate the risk of injuries, many countries recommend bicycle helmets. The current paper seeks to examine the effectiveness of bicycle helmets by performing a systematic review focusing on meta-analyses. First, the current paper explores the findings of studies that employ meta-analyses using bicycle crash data. Second, the results are discussed considering the findings from research analyzing bicycle helmet effectiveness in a laboratory using simulation, and then are complemented with key methodological papers that address cycling and the overall factors contributing to the injury severity. The examined literature confirms that wearing a helmet while cycling is beneficial, regardless of age, crash severity, or crash type. The relative benefit is found to be higher in high-risk situations and when cycling on shared roads and particularly preventing severe head injuries. The results from the studies performed in laboratories also suggest that the shape and size of the head itself play a role in the protective effects of helmets. However, concerns regarding the equitability of the test conditions were found as all reviewed studies used a fifty-percentile male head and body forms. Lastly, the paper discusses the literature findings in a broader societal context.
@article{buth2023,title={Effectiveness of Bicycle Helmets and Injury Prevention: A Systematic Review of Meta-Analyses},shorttitle={Effectiveness of Bicycle Helmets and Injury Prevention},author={Büth, Carlson Moses and Barbour, Natalia and {Abdel-Aty}, Mohamed},year={2023},month=may,journal={Scientific Reports},volume={13},number={1},pages={8540},publisher={{Nature Publishing Group}},issn={2045-2322},doi={10.1038/s41598-023-35728-x},url={https://www.nature.com/articles/s41598-023-35728-x},urldate={2023-05-26},copyright={2023 The Author(s)},langid={english},}
2021
BSc Thesis
Fault Injection for Robustness Testing of Satellite On-Board Image Processing
Carlson Moses Büth
Embedded Systems Group @ University of Münster, Jul 2021
@phdthesis{buth2021,author={Büth, Carlson Moses},title={Fault Injection for Robustness Testing of Satellite On-Board Image
Processing},school={Embedded Systems Group @ University of Münster},year={2021},month=jul,}
2020
BSc Thesis
Deep Inelastic e±p Scattering with Boson Exchange and Interference
Carlson Moses Büth
Institute of Theoretical Physics @ University of Münster, Aug 2020
@phdthesis{buth2020,author={Büth, Carlson Moses},title={Deep Inelastic e±p Scattering with Boson Exchange and Interference},year={2020},school={Institute of Theoretical Physics @ University of Münster},month=aug,}
