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Representation of Work-Related Trip Patterns in Household and Commercial Travel Surveys

Transportation research record, 2022-11, Vol.2676 (11), p.59-73

2022

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Exploring the determinants of autonomous minibus adoption: empirical findings from a demand-based service in Germany

European transport research review, 2024-12, Vol.16 (1), p.35-16, Article 35

2024

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A case study of checking national household travel survey data with machine learning

Transportation research interdisciplinary perspectives, 2024-03, Vol.24, p.101078, Article 101078

2024

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Exploring the role of individuals’ attitudes in the use of on-demand mobility services for commuting – A case study in eight Chinese cities

International Journal of Transportation Science and Technology, 2022-06, Vol.11 (2), p.229-242

2022

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Data collection for microscopic modelling of urban parcel transport to and from establishments – empirical insights into city logistics in the region of Karlsruhe, Germany

Journal of urban mobility, 2024-12, Vol.6, p.100085, Article 100085

2024

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Pre-study and insights to a sequential MATSim-SUMO tool-coupling to deduce 24h driving profiles for SAEVs

SUMO Conference Proceedings, 2022-07, Vol.1, p.93-112

2022

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Determining service provider and transport system related effects of ridesourcing services by simulation within the travel demand model mobiTopp

European transport research review, 2021-12, Vol.13 (1), p.1-10, Article 34

2021

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Tracing the Effects of the Covid-19 Pandemic on Car Usage in Germany - an Analysis of the German Mobility Panel

European journal of transport and infrastructure research, 2021-01, Vol.21 (3)

2021

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Insights into shopping travel behavior: latent classes in relation to attitudes towards shopping

European transport research review, 2021-12, Vol.13 (1), p.1-13, Article 35

2021

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Understanding social processes of shopping destination choice - An approach to model stability and variability

Transportation research interdisciplinary perspectives, 2020-09, Vol.7, p.100183, Article 100183

2020

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The impact of urban road network morphology on pedestrian wayfinding behaviour

Journal of spatial information science, 2020-01, Vol.2020 (21), p.203-228

2020

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Electric Factor—A Comparison of Car Usage Profiles of Electric and Conventional Vehicles by a Probabilistic Approach

World electric vehicle journal, 2020-06, Vol.11 (2), p.36

2020

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Spatial Factor—Using a Random Forest Classification Model to Measure an Internationally Comparable Urbanity Index

Urban science, 2020-09, Vol.4 (3), p.36

2020

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Image-based activity pattern segmentation using longitudinal data of the German Mobility Panel

Transportation research interdisciplinary perspectives, 2020-11, Vol.8, p.100264, Article 100264

2020

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Microsimulation Calibration Using Speed-Flow Relationships

Transportation research record, 2008-01, Vol.2088 (1), p.1-9

2008

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Bridging the Gap Between Mesoscopic Transport Planning and Microscopic Traffic Simulation: An Analytical and Numerical Analysis of Traffic Dynamics

Transportation research record, 2023-05, Vol.2677 (5), p.62-76

2023

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Wie wird in autonomen Fahrzeugen die Fahrzeit genutzt? – Ergebnisse einer Stated-Preference-Befragung

Journal für Mobilität und Verkehr, 2023-05 (17), p.27-34

2023

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Effects of COVID-19 on Telework and Commuting Behavior: Evidence from 3 Years of Panel Data

Transportation research record, 2023-04, Vol.2677 (4), p.478-493

2023

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Assessing the effects of a growing electric vehicle fleet using a microscopic travel demand model

European journal of transport and infrastructure research, 2017, Vol.17 (3)

2017

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Comparison of Discrete Choice and Machine Learning Models for Simultaneous Modeling of Mobility Tool Ownership in Agent-Based Travel Demand Models

Transportation research record, 2024-07, Vol.2678 (7), p.376-390

2024

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Ein On-Demand- und Level 4-Kleinbus auf dem Testfeld Autonomes Fahren BW – Erkenntnisse aus der begleitenden Haushaltsbefragung zu EVA-Shuttle

Journal für Mobilität und Verkehr, 2022-03 (12), p.36-46

2022

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Drivers and Barriers to Public Transport Usage: Insights from Psychographic Profiles Using Latent Class Analysis

Transportation research record, 2024-03

2024

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Auswirkungen von COVID-19 auf das Arbeiten von Zuhause – eine Analyse auf Basis der Daten des Deutschen Mobilitätpanels

Journal für Mobilität und Verkehr, 2021-09 (10), p.35-45

2021

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How the COVID-19 pandemic changes daily commuting routines - Insights from the German Mobility Panel

Case studies on transport policy, 2022-12, Vol.10 (4), p.2175-2182

2022

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How Late Reporters Effect Data Quality in Longitudinal Surveys – Experiences From the German Mobility Panel

Transportation research procedia (Online), 2024, Vol.76, p.470-479

2024

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Representation of Work-Related Trip Patterns in Household and Commercial Travel Surveys

Exploring the determinants of autonomous minibus adoption: empirical findings from a demand-based service in Germany

A case study of checking national household travel survey data with machine learning

Exploring the role of individuals’ attitudes in the use of on-demand mobility services for commuting – A case study in eight Chinese cities

Data collection for microscopic modelling of urban parcel transport to and from establishments – empirical insights into city logistics in the region of Karlsruhe, Germany

Pre-study and insights to a sequential MATSim-SUMO tool-coupling to deduce 24h driving profiles for SAEVs

Determining service provider and transport system related effects of ridesourcing services by simulation within the travel demand model mobiTopp

Tracing the Effects of the Covid-19 Pandemic on Car Usage in Germany - an Analysis of the German Mobility Panel

Insights into shopping travel behavior: latent classes in relation to attitudes towards shopping

Understanding social processes of shopping destination choice - An approach to model stability and variability

The impact of urban road network morphology on pedestrian wayfinding behaviour

Electric Factor—A Comparison of Car Usage Profiles of Electric and Conventional Vehicles by a Probabilistic Approach

Spatial Factor—Using a Random Forest Classification Model to Measure an Internationally Comparable Urbanity Index

Image-based activity pattern segmentation using longitudinal data of the German Mobility Panel

Microsimulation Calibration Using Speed-Flow Relationships

Bridging the Gap Between Mesoscopic Transport Planning and Microscopic Traffic Simulation: An Analytical and Numerical Analysis of Traffic Dynamics

Wie wird in autonomen Fahrzeugen die Fahrzeit genutzt? – Ergebnisse einer Stated-Preference-Befragung

Effects of COVID-19 on Telework and Commuting Behavior: Evidence from 3 Years of Panel Data

Assessing the effects of a growing electric vehicle fleet using a microscopic travel demand model

Comparison of Discrete Choice and Machine Learning Models for Simultaneous Modeling of Mobility Tool Ownership in Agent-Based Travel Demand Models

Ein On-Demand- und Level 4-Kleinbus auf dem Testfeld Autonomes Fahren BW – Erkenntnisse aus der begleitenden Haushaltsbefragung zu EVA-Shuttle

Drivers and Barriers to Public Transport Usage: Insights from Psychographic Profiles Using Latent Class Analysis

Auswirkungen von COVID-19 auf das Arbeiten von Zuhause – eine Analyse auf Basis der Daten des Deutschen Mobilitätpanels

How the COVID-19 pandemic changes daily commuting routines - Insights from the German Mobility Panel

How Late Reporters Effect Data Quality in Longitudinal Surveys – Experiences From the German Mobility Panel

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