Jan‐dirk Schmöcker
Biographic Data
| ID | 4616748 |
|---|---|
| NAME | Jan‐dirk Schmöcker |
| GIVEN NAMES | Jan‐dirk |
| FAMILY NAME | Schmöcker |
| SIGNATURE | SCHMÖCKER J D |
| AFFILIATIONS | Kyoto University |
| ORCID | 0000-0003-2219-9447 |
| VERIFIED | Yes |
| TOTAL WORKS | 19 |
| TOTAL CITATIONS | 41 |
| AUTHOR COUNT | 19 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2007 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Influence of parents on their children’s car purchase intention
How do app users select a free-floating bicycle? A stated preference survey investigating choice behaviour using generated screenshots
Since 2015, free-floating bicycle schemes have been flourishing worldwide due to their easy booking and mobile payment systems. Despite numerous publications, there remains a significant gap in understanding how app users select their bikes and how spatial barriers, such as intersections or temporary availability uncertainty (during peak times), influence their choices. In order to explore the factors affecting users’ preferences while using the …
Utilizing long-term crowdsourced sparse trajectory data to extract temporal regularity in behavioral patterns
Railway-station-area vitality in response to Covid-19: A case study of diverse Japanese cities
Light in the darkness: Urban nightlife, analyzing the impact and recovery of Covid-19 using mobile phone data
City nightlife supports a significant part of our social interactions, enhancing social wellbeing and community-building dynamics. COVID-19 impact on nightlife has been particularly dramatic and expanded over time. Few studies have analyzed this impact, and nightlife recovery remains even less explored. This study examines the post-COVID-19 recovery of nightlife using mobile phone data in Kyoto (Japan) and Madrid (Spain), two cities with differen…
Explaining a century of Swiss regional development by deep learning and SHAP values
We use a graph convolutional neural network (GCN) for regional development prediction with population, railway network density, and road network density of each municipality as development indicators. By structuring the long-term time series data from 2833 municipalities in Switzerland during the years 1910–2000 as graphs over time, the GCN model interprets the indicators as node features and produces an acceptable prediction accuracy on their fu…
Calibration of sightseeing tour choices considering multiple decision criteria with diminishing reward
Latent stage model for carsharing usage frequency estimation with Montréal case study
Planning for tourist urban evacuation routes: A framework for improving the data collection and evacuation processes
Tourism is one of the largest growing industries worldwide. As the number of tourists is rapidly increasing, so too are tourist safety concerns. The increasing frequency of natural disasters along with the growth of urban areas makes it even more complex to address the resilience of tourists during such events. This article proposes a framework for collecting information about tourist locations and flows within urban areas and how to use this inf…
Modelling sequential ticket booking choices during Chinese New Year
Adaptation patterns to high speed rail usage in Taiwan and China
Social norms and public transport usage: Empirical study from Shanghai
The influence of personality on acceptability of sustainable transport policies
Dynamic process model of mass effects on travel demand
Car ownership motivations among undergraduate students in China, Indonesia, Japan, Lebanon, Netherlands, Taiwan, and USA
Special issue on transit planning, operation and management in densely populated areas
An analysis of trip chaining among older London residents
Active ageing in developing countries? – trip generation and tour complexity of older people in Metro Manila
Mode choice of older and disabled people: A case study of shopping trips in London
Mode choice of older and disabled people: A case study of shopping trips in London
Special issue on transit planning, operation and management in densely populated areas
An analysis of trip chaining among older London residents
Active ageing in developing countries? – trip generation and tour complexity of older people in Metro Manila
The influence of personality on acceptability of sustainable transport policies
Dynamic process model of mass effects on travel demand
Car ownership motivations among undergraduate students in China, Indonesia, Japan, Lebanon, Netherlands, Taiwan, and USA
Social norms and public transport usage: Empirical study from Shanghai
Adaptation patterns to high speed rail usage in Taiwan and China
Planning for tourist urban evacuation routes: A framework for improving the data collection and evacuation processes
Tourism is one of the largest growing industries worldwide. As the number of tourists is rapidly increasing, so too are tourist safety concerns. The increasing frequency of natural disasters along with the growth of urban areas makes it even more complex to address the resilience of tourists during such events. This article proposes a framework for collecting information about tourist locations and flows within urban areas and how to use this inf…
Modelling sequential ticket booking choices during Chinese New Year
Latent stage model for carsharing usage frequency estimation with Montréal case study
Explaining a century of Swiss regional development by deep learning and SHAP values
We use a graph convolutional neural network (GCN) for regional development prediction with population, railway network density, and road network density of each municipality as development indicators. By structuring the long-term time series data from 2833 municipalities in Switzerland during the years 1910–2000 as graphs over time, the GCN model interprets the indicators as node features and produces an acceptable prediction accuracy on their fu…
Calibration of sightseeing tour choices considering multiple decision criteria with diminishing reward
Light in the darkness: Urban nightlife, analyzing the impact and recovery of Covid-19 using mobile phone data
City nightlife supports a significant part of our social interactions, enhancing social wellbeing and community-building dynamics. COVID-19 impact on nightlife has been particularly dramatic and expanded over time. Few studies have analyzed this impact, and nightlife recovery remains even less explored. This study examines the post-COVID-19 recovery of nightlife using mobile phone data in Kyoto (Japan) and Madrid (Spain), two cities with differen…
How do app users select a free-floating bicycle? A stated preference survey investigating choice behaviour using generated screenshots
Since 2015, free-floating bicycle schemes have been flourishing worldwide due to their easy booking and mobile payment systems. Despite numerous publications, there remains a significant gap in understanding how app users select their bikes and how spatial barriers, such as intersections or temporary availability uncertainty (during peak times), influence their choices. In order to explore the factors affecting users’ preferences while using the …
Utilizing long-term crowdsourced sparse trajectory data to extract temporal regularity in behavioral patterns
Railway-station-area vitality in response to Covid-19: A case study of diverse Japanese cities
Influence of parents on their children’s car purchase intention
Urban Transport and Accessibility (15 works) · Engineering (13 works) · Geography (12 works) · Business (11 works) · Computer Science (10 works) · Transport engineering (10 works) · Transportation Planning and Optimization (10 works) · Economics (9 works) · Psychology (8 works) · Public transport (7 works)