TY - GEN A1 - Behren, Sascha von A1 - Turek, Maximilian A1 - Barthelmes, Lukas A1 - Scholta, Hanna A1 - Hansen, Frank A1 - Kagerbauer, Martin A1 - Eisenmann, Christine T1 - Decoding Urban Archetypes: Exploring Mobility-Related Homogeneity among Cities T2 - Sustainability N2 - To make cities more sustainable and livable and to achieve climate targets in transportation, cities around the globe must undergo sustainable transformations. However, disparities in initial conditions pose challenges when trying to implement these sustainable changes. Identifying these differences aids in the comprehension of future developments. In this study, we establish an international comparison by decoding the mobility-related characteristics of cities and determining urban archetypes. Using publicly accessible data, we analyze and classify 96 cities in different countries. Therefore, we utilize principal component analysis to simplify the data. The emerging components serve as input for segmentation. This approach yields nine unique urban archetypes, ranging from Well-Functioning and Ancient Hybrid Cities in Europe to Paratransit and Traffic-Saturated Cities in the southern hemisphere. Our results show that there is a significant advantage to using a multidimensional segmentation basis, which we identify in an extensive literature review. The result is a finer segmentation, which is especially clear for European cities that demonstrate four different clusters. We discuss that the effect of future restrictions on private car usage will vary widely between the urban archetypes. KW - urban mobility urban archetypes KW - car dependence KW - smart city KW - city typology KW - city comparison KW - sustainable mobility KW - multimodality KW - public transit KW - urban archetypes Y1 - 2023 U6 - https://doi.org/10.3390/su151914231 SN - 2071-1050 VL - 15 IS - 19 ER - TY - RPRT A1 - Behren, Sascha von A1 - Turek, Maximilian A1 - Barthelmes, Lukas A1 - Scholta, Hanna A1 - Hansen, Frank A1 - Kagerbauer, Martin A1 - Eisenmann, Christine T1 - Urban Archetypes N2 - To make cities more sustainable and livable and to achieve climate targets in transportation, cities around the globe must undergo sustainable transformations. However, disparities in initial conditions pose challenges when trying to implement these sustainable changes. Identifying these differences aids in the comprehension of future developments. Urban archetypes represent a typification of cities in order to investigate mobility-related homogeneity between cities. Y1 - 2023 UR - https://encyclopedia.pub/entry/52072 ER - TY - GEN A1 - Galich, Anton A1 - Eisenmann, Christine A1 - Köhler, Katja T1 - A data fusion approach for providing valid annual passenger transport statistics during the COVID-19 pandemic T2 - European Transport Research Review N2 - The global outbreak of the COVID19 pandemic dramatically changed people’s life’s and their travel behavior in 2020. Consequently, capturing these changes accurately and providing valid annual transport statistics constitutes a tremendous challenge all over the world. Against this background and the lack of a single comprehensive source of data revealing the ground truth, we present a data fusion approach to provide valid annual transportation statistics for Germany during the COVID19 pandemic. Therefore, we adapted our existing model approach at generating annual, national statistics for Germany on passenger transport. Unlike in the existing model, we do not model the whole year as one, but divide the year into pandemic stages in order to model passenger transport demand as adequately as possible within each stage. Three travel surveys capturing the altered travel behavior in the different stages of the pandemic were used in order to adapt our passenger kilometers travelled (PKT) model, which bases on a cross-sectional national household travel survey which in many countries serves as the data basis for providing annual transportation statistics.The main results show a decline in the overall number of trips in 2020 in Germany of around a quarter and around a third less kilometers travelled compared to 2019. These changes in travel behavior differ considerably between different modes of transport, trip purpose and the different stages of the pandemic in 2020. The results produced were validated on the basis of other studies and further sources of data such as floating car data and automated count stations for bicycle traffic and ensure reliable passenger transport statistics in the years of the COVID19 pandemic. Y1 - 2025 U6 - https://doi.org/10.1186/s12544-024-00703-8 SN - 1866-8887 VL - 17 IS - 1 PB - Springer Science and Business Media LLC ER - TY - CHAP A1 - Eisenmann, Christine A1 - Seibert, Dennis A1 - Winkler, Christian T1 - Introduction T2 - Acceptance and diffusion of connected and automated driving in Japan and Germany N2 - AbstractThis opening chapter provides an initial overview of the various topics covered in the book, which explores CAD’s implications, focusing on societal acceptance and technology diffusion. Key areas include the impact of existing mobility systems on CAD adoption, policy frameworks, ride-hailing market potential, and public perception in Germany and Japan. Through modeling and empirical studies, the research examines CAD’s effects on transport systems, car ownership, and travel demand. This Japanese-German collaboration highlights CAD's importance for both countries, given their advanced automotive industries and demographic challenges, offering insights for future research and policy development. Y1 - 2024 SN - 9783031598753 U6 - https://doi.org/10.1007/978-3-031-59876-0_1 SP - 1 EP - 5 PB - Springer Nature Switzerland CY - Cham ER -