Katja Schimohr


Last Name

Schimohr

First Name

Katja

ORCID

0000-0001-8198-4897

Organisational unit

09827 - Heinen, Eva / Heinen, Eva

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2021 - 202511
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Publications 1 - 10 of 11
  • In search of causality in the relationship between the built environment and travel behaviour
    Item type: Journal Article
    Scheiner, Joachim; Frank, Susanne; Gerwinat, Verena; et al. (2024)
    Progress in planning
    Household residential location changes have become an important life event to study changes in travel behaviour. However, most related studies suffer from the shortcomings of collecting retrospective pre-move data, i.e. recall errors and ex-post rationalisation of change. What is more, the overwhelming majority of research in the field relies on quantitative data that do not adequately reflect the subjective perspective of the households or individuals under study, and that are prone to causality issues. Based on a solid theoretical discussion of causality between the built environment (on two interconnected scales) and travel behaviour, the paper reports on a mixed-methods (qualitative/quantitative) panel survey among movers and a control group of non-movers in Germany. Substantial effort was required to conduct the survey due to the dependence on collaboration partners who provided access to households planning to move in the near future. Therefore the paper focuses on the sampling and recruitment process, for which various channels were used. Results pertaining to representativeness and the costs and effectiveness of recruitment channels are presented, and implications for data analysis are briefly discussed. Conclusions are drawn with respect to the relevance of the approach for researchers and practitioners.
  • Spatial and temporal analysis of bike-sharing use in Cologne taking into account a public transit disruption
    Item type: Journal Article
    Schimohr, Katja; Scheiner, Joachim (2021)
    Journal of Transport Geography
    This research analyzes the relationship between bike-sharing and public transit using bike-sharing data collected in Cologne, Germany. The selected system is one of very few in Germany that is organized as a free-floating system, which allows the generation of more detailed data. A construction site in the light rail network causing multiple disruptions in the public transit network offered the possibility to detect changes in bike-sharing usage that occur in the corresponding period. Applying negative binomial regression, spatial and temporal usage patterns are analyzed to identify connections to the public transit network and other factors influencing the usage of bike sharing. The analysis suggests the existence of a spatial relationship between bike-sharing and public transit. Therefore, an intermodal use of both means of transport can be assumed. The short-term changes in the public transit network caused by the construction site only have minor impacts on the usage patterns. Other factors that affect the usage structures could be identified. Proximity to universities as well as the number of certain points of interest nearby, such as food outlets and shops, promote bike-sharing use. Higher temperatures are also positively correlated, while rain reduces usage. The findings of the study can be beneficial to integrate bike-sharing into urban transport systems, especially regarding public transit.
  • Spatial and social differences in perceived railway station accessibility in Switzerland
    Item type: Conference Paper
    Meli, Jonas; Schimohr, Katja; Stapper, Lea; et al. (2025)
    Railway supply is often planned based on calculated accessibility, which can differ substantially from perceived accessibility. Little is known about the perceived accessibility of railway stations and how it differs for different spatial and societal groups. However, in order to promote rail as a means of transportation, it is important to better understand the perceived accessibility of train stations and to incorporate this into planning. We show that having access to cars, bikes, and a public transportation subscription significantly affect perceived station accessibility by foot and public transportation. Overall, measuring railway station accessibility solely based on the station connection quality and the walking distance will lead to an inaccurate measure of the quality.
  • Homeoffice als Chance für den Wohnungsmarkt – und als Rolle rückwärts für die Verkehrswende
    Item type: Journal Article
    Scheiner, Joachim; Frank, Susanne; Gerwinat, Verena; et al. (2023)
    Forum Wohnen und Stadtentwicklung
    Von wenigen Regionen abgesehen, waren die Wohnungsmärkte in Deutschland in den letzten Jahren durch Angebotsknappheit und massive Preissteigerungen geprägt. Dies gilt besonders für die prosperierenden Metropolräume, aber inzwischen auch in Stadtregionen, die sich wirtschaftlich eher moderat entwickeln, sowie in einigen eher ländlich geprägten Räumen. Diese Situation ist auf gestiegene Zuwanderung, die Zunahme von Singlehaushalten, das Wachstum der Pro-Kopf-Wohnfläche, Spekulation mit und Zweckentfremdung von Wohnraum zurückzuführen. Auch die langjährige Vernachlässigung des sozialen Wohnungsbaus ist eine maßgebliche Ursache. Zudem lassen explodierende Grundstückspreise, hohe Materialkosten, Fachkräftemangel, überkomplexe Baunormen und aufwendige Genehmigungsverfahren die Gesamtkosten so stark ansteigen, dass viele Bauvorhaben für Investoren nicht mehr rentabel sind.
  • Prediction of bike‐sharing trip counts
    Item type: Journal Article
    Schimohr, Katja; Doebler, Philipp; Scheiner, Joachim (2023)
    Geographical Analysis
    Regression models are commonly applied in the analysis of transportation data. This research aims at broadening the range of methods used for this task by modeling the spatial distribution of bike-sharing trips in Cologne, Germany, applying both parametric regression models and a modified machine learning approach while incorporating measures to account for spatial autocorrelation. Independent variables included in the models consist of land use types, elements of the transport system and sociodemographic characteristics. Out of several regression models with different underlying distributions, a Tweedie generalized additive model is chosen by its values for AIC, RMSE, and sMAPE to be compared to an XGBoost model. To consider spatial relationships, spatial splines are included in the Tweedie model, while the estimations of the XGBoost model are modified using a geographically weighted regression. Both methods entail certain advantages: while XGBoost leads to far better values regarding RMSE and sMAPE and therefore to a better model fit, the Tweedie model allows an easier interpretation of the influence of the independent variables including spatial effects.
  • Changes in mode use after residential relocation
    Item type: Other Conference Item
    Schimohr, Katja; Heinen, Eva; Naess, Petter; et al. (2025)
    2025 TRB Annual Meeting Online Program Archive
  • The impact of relocations on distances traveled for commuting and grocery shopping
    Item type: Journal Article
    Schimohr, Katja; Heinen, Eva; Scheiner, Joachim (2024)
    Transportation
    Residential relocations open a window of opportunity to decrease distances to work and other important daily destinations, such as grocery stores. This study investigates changes in trip distances after residential relocation, using data from a panel survey of 435 movers in Germany. We estimate two structural equation models for changes in commute and shopping trip distance. These models additionally allow us to draw insights into the relationships between spatial structure, travel attitudes, satisfaction with the accessibility of the workplace or shopping facilities, and housing preferences in residential location search. We find that there is a weak indication of an association between residential location choice and changes in trip distances. However, the analysis suggests that especially long trip distances are shortened through relocation. While residents in urban areas travel on average shorter distances, both for working and grocery shopping, only the shopping distance decreases after a move to a more urban location. A preference for urban structures leads to an increase in urbanity after relocation only in the model for grocery shopping trips. Even though long trips before relocation lead to dissatisfaction with the commute, we do not observe a direct effect of dissatisfaction with trips or reasons for moving on trip distances after a move.
  • Household shopping trips
    Item type: Conference Paper
    Schimohr, Katja; Mattioli, Giulio; Heinen, Eva (2025)
    Shopping is one of the most common trip purposes. Shopping also holds significant potential for active mode use as trip distances tend to be (or could be) short. However, the relationship between shopping behavior and built environment characteristics has received limited research attention so far. Shopping, as a maintenance task, is usually distributed within households. Therefore, this study aims to identify different shopping behavior typologies at the household level and investigates factors associated with these patterns. Using trip data from the 2022 German Mobility Panel, a nationwide and representative 7-day travel diary survey, we conduct a cluster analysis. Key variables to capture transport-related aspects of shopping behavior include mode choice, trip distance, trip frequency, and trip chaining. The analysis reveals six distinct household shopping patterns: No shopping trips, car-shoppers, frequent shoppers, active travelers, shopping after work and few long shopping trips. A multinomial regression analysis is performed to identify the individual, household, and spatial determinants of cluster membership. While few sociodemographic factors are related to cluster membership, the residential location is found to be strongly related to the probability of belonging to the active traveler cluster.
  • Changes in mode use after residential relocation: Attitudes and the built environment
    Item type: Journal Article
    Schimohr, Katja; Heinen, Eva; Næss, Petter; et al. (2025)
    Transportation Research Part D: Transport and Environment
    After changes in the spatial environment induced by residential relocations, mode choice is prone to reconsideration. This study analyzes a panel dataset of 661 movers in Germany who were questioned before and after a move. We aim to determine the relationships between changes in the built environment, in travel attitudes, and in mode choice, accounting for possibly bi-directional relationships. Structural equation models are estimated for four different modes (car, bike, walking, and public transport). We observe that changes in the built environment impact mode choice: After relocating to more urban locations, active mode use increases while car and – unexpectedly – public transport use decrease. Travel attitudes do not directly influence residential location choice, only indirectly via search preferences. There is limited evidence for residential determination as attitudes towards most travel modes remain stable. We only observe changes in walking attitudes in response to changes in the built environment.
  • Stadtstruktur, Wohnstandortwahl und Alltagsmobilität
    Item type: Report
    Bauer, Uta; Frank, Susanne; Gerwinat, Verena; et al. (2024)
Publications 1 - 10 of 11