Kay W Axhausen
Biographic Data
| ID | 94708 |
|---|---|
| NAME | Kay W Axhausen |
| GIVEN NAMES | Kay W |
| FAMILY NAME | Axhausen |
| SIGNATURE | AXHAUSEN K W |
| AFFILIATIONS | ETH Zurich |
| VERIFIED | No |
| TOTAL WORKS | 40 |
| TOTAL CITATIONS | 173 |
| AUTHOR COUNT | 40 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1992 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 5 |
Rethinking cost–benefit analysis for transformative cycling policies
Transforming urban transport systems toward sustainability requires a critical re-evaluation of the appraisal methods used in policy analysis. While cycling infrastructure offers clear environmental, health, and livability benefits, its economic evaluation through cost–benefit analysis (CBA) remains underdeveloped. This paper presents a CBA of the “E-Bike City” concept in Zurich, which involves a radical reallocation of road space from cars to bi…
The importance of the social environment on leisure destination choice
Individuals are fond of belonging to a social environment with a similar social background, which can impact the individual’s decision to visit specific venues for leisure activities. Using data from Zurich, we have measured the preference for a social environment in four categories of leisure venues: restaurants, cafes, bars, and nightclubs; the estimation was performed using a mixed multinomial logit model to see how homophily for socioeconomic…
Exploring the impact of accessibility on leisure social diversity
One proposal to improve accessibility is the 15-minute city; the goal is to create a city where all daily necessities are reachable in a 15-minute walk or bike ride from home. However, a potential consequence is the reduction of the role of city centers, which are essential places of interaction among diverse social groups. This study investigates the potential impact that a 15-minute city would have on the co-presence of individuals from differe…
Going the extra mile
Most leisure activities are carried out jointly with friends or family; therefore, the decision on where to travel is highly dependent on the spatio-temporal constraints of all members of the group. Using data from Tokyo, Japan, this study is the first to develop a joint destination choice model that explicitly integrates such constraints based on revealed preferences of all members. Such a model allows for the derivation of a new measure to quan…
Iterative urban design and transport simulation using Sketch Matsim
New transport technologies have historically influenced how cities are shaped, while urban form is known to influence travel behaviour. But this reciprocal relationship is seldom operationalized in practice due to the disciplinary gap between urban design and transport planning. The two are often linked through a ‘predict and provide’ workflow, which is problematic in the context of emerging technologies such as AVs. This paper argues for a more …
Self-tracing and reporting
The chapter discusses the state-of-the-art possibilities to capture the current behaviour of travel-lers ranging from self-reporting in questionnaires to self-tracking with GPS - equipped devices. It focuses on the advantages and disadvantages of the various formats to capture travel and ac-tivity spaces of the respondents and relates them to the response/participation rates in such exer-cises. The typical items and their underlying definitions a…
How to design publicly acceptable road pricing? Experimental insights from Switzerland
Exploring the influence of social relations and knowledge of the urban environment on leisure travel
Most leisure travel is motivated by interactions within one's social network, which influence the choice of activities undertaken in the city. In this paper, we employ a structural regression model to distinguish between the direct effect of social relations on leisure travel—measured as venue variety and activity space—and a complementary effect through the knowledge of the urban environment. The model was applied to a survey conducted in Zurich…
Spatial risk for a superspreading environment
Introduction: This study sets out to provide scientific evidence on the spatial risk for the formation of a superspreading environment. Methods: Focusing on six common types of urban facilities (bars, cinemas, gyms and fitness centers, places of worship, public libraries and shopping malls), it first tests whether visitors' mobility characteristics differ systematically for different types of facility and at different locations. The study collect…
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…
The E-Bike City as a radical shift toward zero-emission transport
This think piece discusses current barriers to the rapid decarbonization of transport and ways to overcome them. Policymakers face a set of contradictory goals, leading them to ponder only incremental measures: The need to reduce carbon emissions conflicts with accessibility improvements and the resulting induced traffic. At the same time, the prevention of urban sprawl as a means of promoting sustainable mobility is fundamentally thwarted by tec…
Do we have enough recreational spaces during pandemics? An answer based on the analysis of individual mobility patterns in Switzerland
Densification of cities threatens the provision of public open space for people living in and around cities. The increasing evidence of the many benefits of recreational walking for physical and mental health during the COVID-19 pandemic has highlighted an urgent need for fostering the availability of public open space. In this context, urban planners need information to anticipate recreational needs and propose long-term, resilient solutions tha…
Intra-destination travel behavior of alpine tourists
In the face of a continuous increase in the number of tourists in the Alps, the associated traffic volumes, and the resulting negative externalities, there is an urgent need to design policies capable of managing tourist traffic efficiently and to invest in transport systems and infrastructure wisely, given the limited financial, spatial and environmental resources. Unfortunately, while there is a considerable research interest in long-distance t…
Trip Purpose Imputation Using GPS Trajectories with Machine Learning
We studied trip purpose imputation using data mining and machine learning techniques based on a dataset of GPS-based trajectories gathered in Switzerland. With a large number of labeled activities in eight categories, we explored location information using hierarchical clustering and achieved a classification accuracy of 86.7% using a random forest approach as a baseline. The contribution of this study is summarized below. Firstly, using informat…
How did micro-mobility change in response to Covid-19 pandemic? A case study based on spatial-temporal-semantic analytics
Cities worldwide adopted lockdown policies in response to the outbreak of coronavirus disease 2019 (COVID-19), significantly influencing people's travel behavior. In particular, micro-mobility, an emerging mode of urban transport, is profoundly shaped by this crisis. However, there is limited research devoted to understanding the rapidly evolving trip patterns of micro-mobility in response to COVID-19. To fill this gap, we analyze the changes in …
A comparative study of social interaction frequencies among social network members in five countries
Betweenness-accessibility
An empirical analysis of dockless bike-sharing utilization and its explanatory factors
Revealing dockless bike-sharing utilization pattern and its explanatory factors are essential for urban planners and operators to improve the utilization and turnover of public bikes. This study explores the dockless bike-sharing utilization pattern from the perspective of bike using GPS-based bike origin-destination data collected in Shanghai, China. In this paper, utilization patterns are captured by decoupling several spatially cohesive region…
An approach to imputing destination activities for inclusion in measures of bicycle accessibility
Integrating Bayesian network and generalized raking for population synthesis in Greater Jakarta
Constructing agent data with detailed information on their sociodemographics is substantially important for agent-based modelling. However, to collect data about the whole population is not efficient, since it requires an expensive and time-consuming survey, especially for a large population. The paper uses a novel approach that integrates Bayesian network (BN) and generalized raking (GR) multilevel iterative proportional fitting (IPF). Furthermo…
Does variation in residents’ spatial mobility affect their preferences concerning local governance
The social aspect of residential location choice
The impact of local work and residential balance on vehicle miles traveled
The role of location in residential location choice models
Geospatial data available to researchers has increased tremendously over the last several decades, opening up opportunities to define residential location in multiple ways. This has led to a myriad of variables to define "location'' in residential location choice models. In this paper, we propose a common classification for location variables and categorize findings from a wide range of studies. We find similar preferences but different measureme…
Self-tracing and reporting
Choice modelling is an increasingly important technique for forecasting and valuation, with applications in fields such as transportation, health and environmental economics. For this reason it has attracted attention from leading academics and practitioners and methods have advanced substantially in recent years. This Handbook, composed of contributions from senior figures in the field, summarises the essential analytical techniques and discusse…
Networks and tourism
Geographies of Social Networks
The past decade has seen striking increases in travel and in communications at‐a‐distance through mobile phone calls, text messaging and emailing. People in prosperous societies are both travelling and communicating more to connect with absent others. People can travel, relocate and migrate and yet still be connected with friends and family members ‘back home’. So, increasingly, people who are near emotionally may be geographically very far away;…
Activity Spaces, Biographies, Social Networks and their Welfare Gains and Externalities
The repeated interactions and exchanges in formal and informal networks, e.g. family, firms, associations, friendship circles, regulars of a bar, are central to our daily life. There is no reason to assume that the geography of the members of the networks, to which one belongs, has not been affected by the seminal drop in transport and telecommunication costs since 1950. The article will develop a conceptualisation of the dynamics of the interact…
An empirical analysis of dockless bike-sharing utilization and its explanatory factors
Revealing dockless bike-sharing utilization pattern and its explanatory factors are essential for urban planners and operators to improve the utilization and turnover of public bikes. This study explores the dockless bike-sharing utilization pattern from the perspective of bike using GPS-based bike origin-destination data collected in Shanghai, China. In this paper, utilization patterns are captured by decoupling several spatially cohesive region…
The social aspect of residential location choice
Focusing on Connected Personal Leisure Networks
Explanations of leisure travel must take the influence of participants' social contacts into account. To analyze this influence, transport planning uses social network analysis methods. While most past projects have focused on isolated network components, this paper presents a study collecting data on connected personal networks by taking a snowball sample. The paper explains difficulties for transport planning in approaching and explaining leisu…
Does variation in residents’ spatial mobility affect their preferences concerning local governance
Distance patterns of personal networks in four countries
The E-Bike City as a radical shift toward zero-emission transport
This think piece discusses current barriers to the rapid decarbonization of transport and ways to overcome them. Policymakers face a set of contradictory goals, leading them to ponder only incremental measures: The need to reduce carbon emissions conflicts with accessibility improvements and the resulting induced traffic. At the same time, the prevention of urban sprawl as a means of promoting sustainable mobility is fundamentally thwarted by tec…
An approach to imputing destination activities for inclusion in measures of bicycle accessibility
Integrating Bayesian network and generalized raking for population synthesis in Greater Jakarta
Constructing agent data with detailed information on their sociodemographics is substantially important for agent-based modelling. However, to collect data about the whole population is not efficient, since it requires an expensive and time-consuming survey, especially for a large population. The paper uses a novel approach that integrates Bayesian network (BN) and generalized raking (GR) multilevel iterative proportional fitting (IPF). Furthermo…
Destination choice for relocating firms
Exploring the influence of social relations and knowledge of the urban environment on leisure travel
Most leisure travel is motivated by interactions within one's social network, which influence the choice of activities undertaken in the city. In this paper, we employ a structural regression model to distinguish between the direct effect of social relations on leisure travel—measured as venue variety and activity space—and a complementary effect through the knowledge of the urban environment. The model was applied to a survey conducted in Zurich…
A comparative study of social interaction frequencies among social network members in five countries
Betweenness-accessibility
Road Pricing and its Consequences for Individual Travel Patterns
While mobility pricing is discussed as a suitable tool for tackling urban traffic problems, its impact on the travel pattern of individuals is largely unexplored. Individual responses to pricing emerge as a number of different changes. As an example, it involves the reduction in actual trip‐making, more efficient route‐choice decisions, trip chaining, and change of destination choice. The analysis of reliable data seems necessary to gain a deeper…
Activity‐based approaches to travel analysis
Recent policy discussions about information technology in transport and traffic demand management have increased interest in activity‐based approaches to the analysis of travel behaviour, in particular in the modelling of household activity scheduling which is at the core of many of the required changes in travel behaviour. This paper is a state‐of‐the‐art review of conceptualizations and models of activity scheduling with special regard to issue…
Activity spaces
Geographies of Social Networks
The past decade has seen striking increases in travel and in communications at‐a‐distance through mobile phone calls, text messaging and emailing. People in prosperous societies are both travelling and communicating more to connect with absent others. People can travel, relocate and migrate and yet still be connected with friends and family members ‘back home’. So, increasingly, people who are near emotionally may be geographically very far away;…
Networks and tourism
Activity Spaces, Biographies, Social Networks and their Welfare Gains and Externalities
The repeated interactions and exchanges in formal and informal networks, e.g. family, firms, associations, friendship circles, regulars of a bar, are central to our daily life. There is no reason to assume that the geography of the members of the networks, to which one belongs, has not been affected by the seminal drop in transport and telecommunication costs since 1950. The article will develop a conceptualisation of the dynamics of the interact…
Road Pricing and its Consequences for Individual Travel Patterns
While mobility pricing is discussed as a suitable tool for tackling urban traffic problems, its impact on the travel pattern of individuals is largely unexplored. Individual responses to pricing emerge as a number of different changes. As an example, it involves the reduction in actual trip‐making, more efficient route‐choice decisions, trip chaining, and change of destination choice. The analysis of reliable data seems necessary to gain a deeper…
Coordinating Face-to-Face Meetings in Mobile Network Societies
This exploratory article describes and develops theoretical notions of how coordination takes place within mobile network societies, that is, societies where travel, ties at-a-distance, email and mobile communications are widespread. The article brings together studies of travel, communications and social networks through a particular focus upon the multiple processes of coordination. We specifically examine how communications are used to coordin…
Transport Infrastructure and Regional Development in Switzerland
Martin Tschopp and Kay Axhausen focus on the impact of transport infrastructure on the demographic and spatial development of municipalities and regions. Accessibility is both the primary service provided by transport infrastructure and the link between transport infrastructure and land use. It can measure the spatial impact of newly built transport infrastructure and show the attractiveness of a region's location. Tschopp and Axhausen provide a …
Mapping Overlapping Commuting-to-Work Areas
Please click here to download the map associated with this article. This article focuses on mapping and delineating commuting areas of work travel (commuting-to-work area—CTWA). Traditional procedures for delimiting these areas assign each municipality to a single catchment area. Commuting distances and the complexity of commuter flows have increased steadily over the years. A classical method in transport planning is a mapping of flows where ori…
Destination choice for relocating firms
Diminishing effects of location? Some evidence from Swiss municipalities, 1950–2000
Smart cities of the future
Here we sketch the rudiments of what constitutes a smart city which we define as a city in which ICT is merged with traditional infrastructures, coordinated and integrated using new digital technologies. We first sketch our vision defining seven goals which concern: developing a new understanding of urban problems; effective and feasible ways to coordinate urban technologies; models and methods for using urban data across spatial and temporal sca…
Focusing on Connected Personal Leisure Networks
Explanations of leisure travel must take the influence of participants' social contacts into account. To analyze this influence, transport planning uses social network analysis methods. While most past projects have focused on isolated network components, this paper presents a study collecting data on connected personal networks by taking a snowball sample. The paper explains difficulties for transport planning in approaching and explaining leisu…
An agent-based random-utility-maximization model to generate social networks with transitivity in geographic space
Distance patterns of personal networks in four countries
The role of location in residential location choice models
Geospatial data available to researchers has increased tremendously over the last several decades, opening up opportunities to define residential location in multiple ways. This has led to a myriad of variables to define "location'' in residential location choice models. In this paper, we propose a common classification for location variables and categorize findings from a wide range of studies. We find similar preferences but different measureme…
Self-tracing and reporting
Choice modelling is an increasingly important technique for forecasting and valuation, with applications in fields such as transportation, health and environmental economics. For this reason it has attracted attention from leading academics and practitioners and methods have advanced substantially in recent years. This Handbook, composed of contributions from senior figures in the field, summarises the essential analytical techniques and discusse…
The impact of local work and residential balance on vehicle miles traveled
The social aspect of residential location choice
An approach to imputing destination activities for inclusion in measures of bicycle accessibility
Integrating Bayesian network and generalized raking for population synthesis in Greater Jakarta
Constructing agent data with detailed information on their sociodemographics is substantially important for agent-based modelling. However, to collect data about the whole population is not efficient, since it requires an expensive and time-consuming survey, especially for a large population. The paper uses a novel approach that integrates Bayesian network (BN) and generalized raking (GR) multilevel iterative proportional fitting (IPF). Furthermo…
Does variation in residents’ spatial mobility affect their preferences concerning local governance
Betweenness-accessibility
An empirical analysis of dockless bike-sharing utilization and its explanatory factors
Revealing dockless bike-sharing utilization pattern and its explanatory factors are essential for urban planners and operators to improve the utilization and turnover of public bikes. This study explores the dockless bike-sharing utilization pattern from the perspective of bike using GPS-based bike origin-destination data collected in Shanghai, China. In this paper, utilization patterns are captured by decoupling several spatially cohesive region…
Trip Purpose Imputation Using GPS Trajectories with Machine Learning
We studied trip purpose imputation using data mining and machine learning techniques based on a dataset of GPS-based trajectories gathered in Switzerland. With a large number of labeled activities in eight categories, we explored location information using hierarchical clustering and achieved a classification accuracy of 86.7% using a random forest approach as a baseline. The contribution of this study is summarized below. Firstly, using informat…
Urban Transport and Accessibility (30 works) · Computer Science (27 works) · Engineering (21 works) · Geography (21 works) · Business (18 works) · Transport engineering (15 works) · Sociology (14 works) · Economics (13 works) · Human Mobility and Location-Based Analysis (13 works) · Transportation Planning and Optimization (13 works)