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 - 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 -