printlogo
http://www.ethz.ch/index_EN.html
Institut für Verkehrsplanung und Transportsysteme, ETH Zürich
 
print
  
Deutsch English

e-citations

 

, Hess, Stephane, Quddus, Mohammed, Rieser-Schüssler, Nadine, Daly, Andrew, 2015 >>
Author(s): Hess, Stephane, Quddus, Mohammed, Rieser-Schüssler, Nadine, Daly, Andrew
Title: Developing advanced route choice models for heavy goods vehicles using GPS data
Abstract: This paper presents a novel application in route choice modelling using Global Positioning System (GPS) data, focussing on heavy goods vehicles which typically make longer journeys with decisions potentially underpinned by different priorities from those used by car drivers. The scope of the study is larger than many previous ones, using the entire road network of England. Making use of the error components model put forward for route choice by Frejinger and Bierlaire (2007), the work reveals low elasticities in response to changes in travel time, reflecting the limited opportunity for avoiding specific roads on long distance journeys by heavy goods vehicles.2
Published in: Transportation Research Part E, Logistics and Transportation Review
Volume: 77
Pages: 29 - 44
ISSN: 1366-5545
Publication date / Date received: 2015-05-01
Publication status: Kidlington
Publication status: Published
Subjects: Route choice, GPS data, Heavy goods vehicles, Error components
Language: English
Review status: Peer reviewed
Keyword: Route choice, GPS data, Heavy goods vehicles, Error components
DBID source: SCOPUS-84924710402, FORM-1391151085, WOS-000354666000002
DOI: 10.1016/j.tre.2015.01.010
Nebis system number: 004141982
, Hess, Stepahne, Quddus, Mohammed, Rieser-Schüssler, Nadine, Daly, Andrew, 2015 >>
Author(s): Hess, Stepahne, Quddus, Mohammed, Rieser-Schüssler, Nadine, Daly, Andrew
Title: Developing advanced route choice models for heavy goods vehicles using GPS data
Abstract: This paper presents a novel application in route choice modelling using Global Positioning System (GPS) data, focussing on heavy goods vehicles which typically make longer journeys with decisions potentially underpinned by different priorities from those used by car drivers. The scope of the study is larger than many previous ones, using the entire road network of England. Making use of the error components model put forward for route choice by Frejinger and Bierlaire (2007), the work reveals low elasticities in response to changes in travel time, reflecting the limited opportunity for avoiding specific roads on long distance journeys by heavy goods vehicles.2
Published in: Transportation Research. Part E, Logistics and Transportation Review
Volume: 77
Pages: 29 - 44
ISSN: 1366-5545
Publication date / Date received: 2015-05-01
Publication status: Amsterdam
Publication status: Published
Subjects: Route choice, GPS data, Heavy goods vehicles, Error components
Language: English
Keyword: Route choice, GPS data, Heavy goods vehicles, Error components
DBID source: FORM-1391151085
DOI: 10.1016/j.tre.2015.01.010
Nebis system number: 004141982
, Halldórsdóttir, Katrín, Rieser-Schüssler, Nadine, Axhausen, Kay W., Nielsen, Otto A., Prato, Carlo G., 2014 >>
Author(s): Halldórsdóttir, Katrín, Rieser-Schüssler, Nadine, Axhausen, Kay W., Nielsen, Otto A., Prato, Carlo G.
Title: Efficiency of choice set generation methods for bicycle routes
Abstract: The current study analyses the efficiency of choice set generation methods for bicycle routes and proposes the extension of cost functions to bicycle-oriented factors not limited to distance and time. Three choice set generation methods for route choice were examined in their ability to generate relevant and heterogeneous routes: doubly stochastic generation function, breadth first search on link elimination, and branch & bound algorithm. Efficiency of the methods was evaluated for a high-resolution network by comparing the performances with four multi-attribute cost functions accounting for scenic routes, dedicated cycle lanes, and road type. Data consisted of 778 bicycle trips traced by GPS and carried out by 139 persons living in the Greater Copenhagen Area, in Denmark. Results suggest that both the breadth first search on link elimination and the doubly stochastic generation function generated realistic routes, while the former outperformed in computation cost and the latter produced more heterogeneous routes.2
Published in: European Journal of Transport and Infrastructure Research
Volume: 14
Issue: 4
Pages: 332 - 348
ISSN: 1567-7133, 1567-7141
Publication date / Date received: 2014-12-01
Publication status: Delft
Publication status: Published
Subjects: Bicycle route choice, Bicycle route generation, Branch and bound, Breadth first search, Choice set generation, Stochastic generation function
Language: English
Keyword: Bicycle route choice, Bicycle route generation, Branch and bound, Breadth first search, Choice set generation, Stochastic generation function
DBID source: FORM-1349423770, WOS-000345856600002
Nebis system number: 010246475
, Montini, Lara, Rieser, Nadine, 2014 >>
Author(s): Montini, Lara, Rieser, Nadine
Title: Implementation and pretest of the trip purpose detection
Abstract: This deliverable provides an overview over the current status of the work in Work Package 4 "Automated Travel Mode and Trip Purpose Detection". The deliverable is focused on Task 4.3 Development and implementation of trip purpose imputation. The goal of this task is to implement the detection of trip purposes using temporal and spatial patterns observed in the GPS data. That includes timings and durations of activities and frequencies of visited places. In this deliverable we introduce trip purpose identification using random forests, a machine- learning approach based on decision trees. Analysis is done using GPS and accelerometer data collected by 156 participants, taking part in a one-week travel survey in Switzerland completed in 2012. Results show that random forests provide robust trip purpose classification. For ensemble runs, a share of correct predictions between 80 and 85 % was achieved. Different setups of the classifier are possible, and sometimes required by the application context. The classifier's training set and its input variables (feature set) are defined in various ways. Four relevant setups are tested here.2
Published in: Peacox Public Deliverables
Volume: D4.2
Publication date / Date received: 2014-02-28
Publication status: Wien
Publication status: Published
Language: English
DBID source: FORM-1415105817
, Rieser-Schüssler, Nadine, Rieser, Marcel, Montini, Lara, Axhausen, Kay W., 2014 >>
Author(s): Rieser-Schüssler, Nadine, Rieser, Marcel, Montini, Lara, Axhausen, Kay W.
Title: Exploring choice set generation approaches for public transport connection choice
Abstract: 2
Publication date / Date received: 2014-01-01
Publication status: Unpublished
Event name: 14th Swiss Transport Research Conference (STRC 2014)
Event date: May 14-16, 2014
Place: Ascona, Switzerland
Language: English
DBID source: FORM-1415109090
, Rieser-Schüssler, Nadine, Rieser, Marcel, Montini, Lara, Axhausen, Kay W., 2014 >>
Author(s): Rieser-Schüssler, Nadine, Rieser, Marcel, Montini, Lara, Axhausen, Kay W.
Title: Exploring choice set generation approaches for public transport connection choice
Abstract: This technical working paper documents the choice set generation algorithms for public transport connection choice in their state of development in August 2014. The choice set generation methods have been developed to generate the non-chosen alternatives for public transport trips that have been observed through GPS traces recorded either by dedicated GPS devices or by smart-phones. The choice set generation approaches that we have developed build on the idea of generating a routing network that contains the entire schedule and modifying that Dijkstra algorithm so that takes into account multiple start and end stops in the public transport network and the corresponding access and egress segments. The basic version is then combined with other least cost path based choice set generation procedures: First, with a procedure to randomly vary the link cost and cost function parameters to obtain a doubly stochastic choice set generation and, second, with a new approach of selecting potential transfer opportunities in the network enforcing a routing via these selected points. A first evaluation of the generated choice sets was done with public transport trips found in GPS traces originating from a person-based GPS diary survey with participants living in and around Zurich. It shows that all three approaches generally work. However, it also reveals several areas for improvement that are discussed within in this working paper.
Published in: Arbeitsberichte Verkehrs- und Raumplanung
Volume: 1023
Publication date / Date received: 2014-01-01
Publication status: Zürich
Publication status: Published
Subjects: Raumordnung, Städtebau, Landschaftsarchitektur|Spatial and Urban Planning, Landscape Architecture, Verkehr und Transport|Traffic and Transportation, Verkehrsplanung, Strassen- und Eisenbahnbau|Traffic, Highway and Railroad Engineering, GPS, Public transport, Choice set generation, Schedule, Network
Language: English
Keyword: GPS, Public transport, Choice set generation, Schedule, Network
DBID source: FORM-1409233322
Nebis system number: 004231702
, Rieser-Schüssler, Nadine, Axhausen, Kay W., 2014 >>
Author(s): Rieser-Schüssler, Nadine, Axhausen, Kay W.
Title: Self-tracing and reporting
Subtitle: State-of-the-art in the capture of revealed behaviour
Abstract: 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 discusses the key current research issues. It will be of interest to academics, students and practitioners in a wide range of areas.2
Book title: Handbook of choice modelling
Pages: 131 - 151
ISBN: 978-1-78100-314-5, 978-1-78100-315-2
Publication date / Date received: 2014-01-01
Publication status: Cheltenham
Publication status: Published
Language: English
DBID source: FORM-1392395170
DOI: 10.4337/9781781003152.00012
Nebis system number: 009976543
, Rieser, Nadine, Axhausen, Kay W., 2014 >>
Author(s): Rieser, Nadine, Axhausen, Kay W.
Title: Psychometric Scales Survey
Abstract: This data originates from a paper-and-pen mail-out survey that consisted of three components: a questionnaire asking for person and household characteristics, three psychometric scales covering the topics risk propensity, variety seeking and environmentalism and a one-day travel diary. The goal of the survey was to estimate latent variable mode choice models in which the pychometric scales serve as indicators for the participants attitudes. The survey also served as a pretest for a larger survey in which the psychometric scales are combined with GPS-based one- week travel diaries. During the survey, 2000 questionnaires were sent out to respondents living in Canton Zurich in 2 waves during summer and fall 2010. For the diary, the respondents were assigned a survey day that was a Tuesday, Wednesday or Thursday to capture only ordinary weekdays. 2.7% of the letters were returned due to invalid addresses, of the 1946 potential respondents with valid addresses 274 returned at least one questionnaire resulting in a response rate of 14.1%. However, not all respondents return all parts of the survey and not all of the returned questionnaires were usable for later analysis. After cleaning the questionnaires of 222 persons remained that are giving in this data set.
Published in: Travel Survey Metadata Series
Volume: 57
Publication date / Date received: 2014-01-01
Publication status: Zürich
Publication status: Published
Subjects: Psychometric scales
Language: English
Keyword: Psychometric scales
DBID source: FORM-1408887130
, Montini, Lara, Rieser-Schüssler, Nadine, Horni, Andreas, Axhausen, Kay W., 2014 >>
Author(s): Montini, Lara, Rieser-Schüssler, Nadine, Horni, Andreas, Axhausen, Kay W.
Title: Trip Purpose Identification from GPS Tracks
Abstract: Travel surveys are increasingly taking advantage of global positioning system (GPS) data offering precise route and time observations and potentially reduced response burden. In these surveys, travel diaries are usually constructed automatically, where research on the employed procedures has been focused on mode identification. This paper's goal is progress on trip purpose identification using random forests, a machine-learning approach which has been successfully applied to mode identification. Analysis is based on GPS and accelerometer data collected by 156 participants, taking part in a one-week travel survey in Switzerland completed in 2012. Results show that random forests provide robust trip purpose classification. For ensemble runs, a share of correct predictions between 80 and 85 % was achieved. Different setups of the classifier are possible, and sometimes required by the application context. The classifier's training set and its input variables (feature set) are defined in various ways. Four relevant setups are tested here.2
Published in: Transportation research record
Volume: 2405
Pages: 16 - 23
ISSN: 0361-1981
Publication date / Date received: 2014-01-01
Publication status: Washington, D.C.
Publication status: Published
Language: English
DBID source: FORM-1386676247, WOS-000339602800004
DOI: 10.3141/2405-03
Nebis system number: 000024408
, Montini, Lara, Rieser-Schüssler, Nadine, Axhausen, Kay W., 2014 >>
Author(s): Montini, Lara, Rieser-Schüssler, Nadine, Axhausen, Kay W.
Title: Personalisation in multi-day GPS and accelerometer data processing
Abstract: In this paper, we analyse how personalisation during processing of multi-day GPS and ac- celerometer data can improve the quality of the produced travel diaries. The main focus is on trip purpose detection using random forests. Two main approaches are followed. First, the effect of person-based input features is shown, in particular distance to home and work improve classification result (median accuracy + 3.8 %). Second, it is analysed how usage of annotated data improves prediction. Most strategies like selecting the best classifier out of many, have no effect. But, improvements are possible if the classifier is learned including some of the participant's annotated data (median accuracy + 5.5 %).
Publication date / Date received: 2014-01-01
Publication status: Ascona
Publication status: Published
Subjects: GPS processing, Trip purpose, Personalisation
Event name: 14th Swiss Transport Research Conference (STRC 2014)
Event date: May 14-16, 2014
Place: Ascona, Switzerland
Language: English
Keyword: GPS processing, Trip purpose, Personalisation
DBID source: FORM-1400091352
, Montini, Lara, Rieser, Nadine, 2014 >>
Author(s): Montini, Lara, Rieser, Nadine
Title: Implementation and evaluation of learning routines for mode and trip purpose detection
Published in: Peacox Public Deliverables
Pages: D4.3
Publication date / Date received: 2014-01-01
Publication status: Zürich
Publication status: Published
Language: English
DBID source: FORM-1406562308
, Montini, Lara, Prost, Sebastian, Schrammel, Johann, Rieser-Schüssler, Nadine, Axhausen, Kay W., 2014 >>
Author(s): Montini, Lara, Prost, Sebastian, Schrammel, Johann, Rieser-Schüssler, Nadine, Axhausen, Kay W.
Title: Comparison of Travel Diaries Generated from Smartphone Data and Dedicated GPS Devices
Abstract: The goal of this paper, is to provide further insight into the usability of smartphones and dedicated GPS devices for collecting travel survey data at this point in time. For analysis, GPS and accelerometer time series of 31 PEACOX study participants are available, who were tracked simultaneously with smartphones and dedicated devices for 8 weeks. Meaningful diaries can be extracted from both data sources. If high resolution data is needed however, results suggest that dedicated GPS devices are still relevant, as they do not have battery issues thus more data is recorded and furthermore data quality is more stable.2
Publication date / Date received: 2014-01-01
Publication status: Unpublished
Event name: 10th International Conference on Transport Survey Methods
Event date: November 16-21, 2014
Place: Leura, Australia
Language: English
DBID source: FORM-1413479054
, Rieser-Schüssler, Nadine, Balmer, Michael, Axhausen, Kay W., 2013 >>
Author(s): Rieser-Schüssler, Nadine, Balmer, Michael, Axhausen, Kay W.
Title: Route Choice Sets for Very High-Resolution Data
Abstract: With the increasing use of GPS in transport surveys, analysts can choose from numerous new ways to model travel behaviour – but also face several new challenges. For instance, information about chosen routes is now available with a high level of spatial and temporal accuracy. However, advanced post-processing is necessary to make this information usable for route choice modelling. Out of many related issues, this paper focusses on generation of choice sets for car trips extracted from GPS data. The aim is to generate choice sets for about 36,000 car trips made by 2,434 persons living in and around Zurich, Switzerland, on the Swiss Navteq network, a very high-resolution network. This network resolution is essential for an accurate identification of chosen routes. However, it substantially increases the requirements for the choice set generation algorithm in regard to performance as well as choice set composition. This paper presents a new route set generation based on shortest path search with link elimination. The proposed procedure combines a Breadth First Search with a topologically equivalent network reduction and ensures a high diversity between the routes, as well as computational feasibility for large-scale problems like the one described above. To demonstrate the usability of the algorithm, its performance and the resulting route sets are compared to those of a stochastic choice set generation algorithm.
Published in: Transportmetrica. A, Transport science
Volume: 9
Issue: 9
Pages: 825 - 845
ISSN: 1944-0987, 1812-8602
Publication date / Date received: 2013-01-01
Publication status: London
Publication status: Published
Subjects: GPS data, Choice set generation, High-resolution networks, Performance, Route choice
Language: English
Review status: Peer reviewed
Keyword: GPS data, Choice set generation, High-resolution networks, Performance, Route choice
DBID source: FORM-1332346839, WOS-000326670500003
DOI: 10.1080/18128602.2012.671383
Nebis system number: 007198362
, Rieser-Schüssler, Nadine, Axhausen, Kay W., 2013 >>
Author(s): Rieser-Schüssler, Nadine, Axhausen, Kay W.
Title: Identifying chosen public transport connections from GPS observations
Abstract: Transport planners around the world are currently searching for innovative strategies for customer-friendly and efficient public transport systems. An important element in this pro- cess is the understanding of the passengers' valuation of different elements of public transport trips. A challenge associated with this is the observation of the actual passenger behaviour in all its complexity. One way to address this challenge is to use person-based GPS devices for the observation of the public transport connections chosen by passengers. GPS-based studies have become increasingly popular in the last two decades and their advantages for observing and modelling car and bicycle route choice have been shown by many studies. However, for public transport connection choice the processing routines to extract the chosen connections and their relevant attributes from the GPS traces have so far been missing. This paper reports on a first implementation of such a procedure called "public transport map-matching". The basic idea is to first employ a car map-matching procedure for each stage of a public transport trip to determine the route within the public transport network. Then, this route is used to find the most likely public transport line and the respective boarding and alighting stops. Finally, the stages of the public transport trip are joined together including the access and egress stages by walk or bicycle. The procedure is tested using the data from an ongoing GPS study in Zurich – an area in Switzerland with a very dense public transport network.2
Publication date / Date received: 2013-01-01
Publication status: Published
Event name: 92nd Annual Meeting of the Transportation Research Board
Event date: January 13-17, 2013
Place: Washington, DC, USA
Language: English
DBID source: FORM-1384070961
, Montini, Lara, Rieser-Schüssler, Nadine, Axhausen, Kay W., 2013 >>
Author(s): Montini, Lara, Rieser-Schüssler, Nadine, Axhausen, Kay W.
Title: One-Week GPS-based Travel Survey in the Greater Zurich Area
Subtitle: Field Report
Abstract: This papers reports on a GPS-based activity diary survey accompanied by psychometric scales to observe the influence of different attitudes on mode and route choice. The survey was implemented as online questionnaire. 156 participants collected approximately one week of GPS data each; the first participant in August 2011 and the last in December 2012, all living in the greater Zurich area. Completion of the questionnaires is very diverse, but overall a very detailed GPS data set was gained, which will be very valuable in further development of post-processing routines.
Publication date / Date received: 2013-01-01
Publication status: Ascona
Publication status: Published
Subjects: GPS, Post-processing, Activity detection, Mode identification, Prompted recall, Respondent burden
Event name: 13th Swiss Transport Research Conference (STRC 2013)
Event date: April 26-28, 2013
Place: Ascona, Switzerland
Language: English
Keyword: GPS, Post-processing, Activity detection, Mode identification, Prompted recall, Respondent burden
DBID source: FORM-1367329726
, Montini, Lara, Rieser-Schüssler, Nadine, Axhausen, Kay W., 2013 >>
Author(s): Montini, Lara, Rieser-Schüssler, Nadine, Axhausen, Kay W.
Title: Handling GPS Signal Loss using Accelerometer Data
Abstract: In transportation research, GPS tracks are used amongst other data sources to reconstruct travel diaries. One major goal of automatically reconstructing these diaries instead of using traditional paper- and-pen travel diaries is to reduce the burden of respondents. This also allows to survey longer periods, and, consequently, changes in travel behaviour could be observed. Typically, routines to create diaries rely mostly on GPS data. But to collect GPS data devices have to be outside, where the satellite signal can be received. However, some important travel episodes can occur where this is not possible and in these situations other sensors can be used. The goal of the proposed paper is to cover the gaps in GPS data tracks using accelerometer data. In the context of transportation, most common reasons for losing the signal are metro stages, long tunnels and vehicles that substantially decrease or even prevent GPS reception such as, in our experience, trains. Accelerometer data on the other hand can consistently be collected, also underground. Furthermore, accelerometers are available in nearly all modern smartphones and in some dedicated GPS devices. Therefore, the processing routines originally developed for GPS only, are adapted to use this additional data source. Our processing framework consists of four main steps: (1) cleaning and smoothing of GPS data, (2) rule-based detection of activities and stages, (3) identification of the transport mode using a fuzzy rule system, and, (4) map-matching to determine routes. Two parts, the activity and stages detection as well as the mode identification, are extended to use the information provided by the accelerometer. If no GPS signal is available, the activity and stage detection based on accelerometer data will be triggered, then, results of both algorithms have to be merged into a consistent diary. For the mode identification, a second classifier, using only characteristics derived from the accelerometer, is implemented for stages without or with very few GPS points. For validation of the new methods two data sets will be used. First, data from a one-week GPS-based survey in Zurich using a dedicated GPS device is available. This data was collected by approximately 150 people living in the area around Zurich with different educational backgrounds and of different age. The major disadvantage of this data set is that Zurich has no metro lines. GPS signal loss occurred mainly while participants were travelling by train or through tunnels. Therefore, a second data set collected in Vienna will also be used for validation. Data from Vienna will be collected by approximately 15 people using smartphones and dedicated GPS devices simultaneously.2
Publication date / Date received: 2013-01-01
Publication status: Published
Event name: Mobile Ghent '13
Event date: October 23-25, 2013
Place: Ghent, Belgium
Language: English
DBID source: FORM-1376921000, FORM-1415109624
, Montini, Lara, Rieser, Nadine, 2013 >>
Author(s): Montini, Lara, Rieser, Nadine
Title: Improved Mode Identification and Related Prompted Recall Interface
Abstract: This deliverable provides an overview over the current status of the work in WP 4 "Automated Travel Mode and Trip Purpose Detection". The main focus is the improvements of the mode identification and the development of the prompted recall interface. In total, the status of three tasks is covered: ? Task 4.1: Extending the mode detection to account for additional modes and the logical order of the resulting mode chains (see Section 2) ? Task 4.2. Validation of the trip and mode detection and calibration of the parameters for the study area (see Section 0) ? Task 4.4 Design, implementation and testing of the prompted-recall survey to obtain user feedback regarding the processing results (see Section 4)2
Published in: Peacox Public Deliverables
Volume: D4.1
Publication date / Date received: 2013-01-01
Publication status: Published
Language: English
DBID source: FORM-1415106457
, Dubernet, Thibaut, Rieser-Schüssler, Nadine, Axhausen, Kay W., 2013 >>
Author(s): Dubernet, Thibaut, Rieser-Schüssler, Nadine, Axhausen, Kay W.
Title: Using a multi-agent simulation tool to estimate the car-pooling potential
Abstract: It is a general trend in transportation planning to try to reduce the use of car driven by a single person. This can be achieved by different means: more efficient public transport, increase in the usage of individual non-motorised vehicles, or sharing of a vehicle for all or a fraction of a trip. This paper focuses on evaluating the potential of the latter. The factors influencing the potential of such a mode are manifold: behavioral, structural (number of potential matches), organisational (quality of available services to meet co-travelers). . . In previous studies, mainly the behavioral and organisational factors were analyzed. This paper focuses on the structural factor. To do so, the highly detailed daily plans generated by the multi-agent microsimulation software MATSim are searched for potential matches. Information about the potential matches is used to assess the feasibility of carpooling. In particular, it is shown that it is possible to group most of the car trips into two-person car-pools. The results of the analysis lead to the conclusion that there is no structural obstacle to carpooling development, and thus that the causes of the low share of this mode is to search in both the behavioral and organisational factors.2
Published in: Arbeitsberichte Verkehrs- und Raumplanung
Volume: 799
Publication date / Date received: 2013-01-01
Publication status: Zürich
Publication status: Published
Event name: 92nd Annual Meeting of the Transportation Research Board
Event date: January 13-17, 2013
Place: Washington, DC, USA
Language: English
DBID source: FORM-1345197095
, Brazil, William, Caulfield, Brian, Rieser-Schüssler, Nadine, 2013 >>
Author(s): Brazil, William, Caulfield, Brian, Rieser-Schüssler, Nadine
Title: Understanding carbon: making emissions information relevant
Abstract: This paper examines methods of communicating and presenting information to individuals about transport and travel related carbon emissions for use in online journey planning and smartphone applications. It examines four methods of framing transport related emissions and the effect of these on ease of understanding and the potential to alter respondents' mode of transport. On-line carbon calculators provide users with information about the carbon emissions that result from the selection of one mode of transport over another. Each reflects an approach currently used by on-line carbon calculators. Results indicate that there is a strong correlation between understanding of methods and likelihood of altering mode choice.2
Published in: Transportation research Part D, Transport and environment
Volume: 19
Pages: 28 - 33
Publication date / Date received: 2013-01-01
Publication status: Published
Language: English
DBID source: FORM-1415096352
DOI: http://doi.org/10.1016/j.trd.2012.12.002
, Vitins, Basil J., Dubernet, Thibaut, Horni, Andreas, Rieser-Schüssler, Nadine, Axhausen, Kay W., 2012 >>
Author(s): Vitins, Basil J., Dubernet, Thibaut, Horni, Andreas, Rieser-Schüssler, Nadine, Axhausen, Kay W.
Title: MATSim Moduswahl Untersuchungen
Published in: final report to VW AG, Wolfsburg
Publication date / Date received: 2012-01-01
Language: German
DBID source: FORM-1357731029
, Rieser-Schüssler, Nadine, Montini, Lara, Rieser, Marcel, Axhausen, Kay W., 2012 >>
Author(s): Rieser-Schüssler, Nadine, Montini, Lara, Rieser, Marcel, Axhausen, Kay W.
Title: Preparations for estimating public transport connection choice from GPS observations
Abstract: 2
Publication date / Date received: 2012-01-01
Event name: 13th International Conference on Travel Behaviour Research (IATBR 2012)
Event date: July 2012
Place: Toronto, Canada
DBID source: FORM-1415102149
, Rieser-Schüssler, Nadine, Axhausen, Kay W., 2012 >>
Author(s): Rieser-Schüssler, Nadine, Axhausen, Kay W.
Title: Investigating the influence of environmentalism and variety seeking on mode choice
Abstract: In the transport modelling community, there is a growing consensus that socio-economic attributes alone will not suffice to characterise travellers and make forecasts about their travel behaviour. Therefore, an increasing number of recent studies have integrated latent variables representing attitudes, perceptions and preferences into choice models. Since it is impossible to measure latent variables directly, psychometric scales are used as indicators. For the study presented in this paper, psychometric scales for environmentalism and varietyseeking were developed and tested in a mail-back survey that included a one-day travel diary and a questionnaire about socio-economic characteristics. A factor analysis was carried out to establish predominant attitudinal factors, which were then used as latent variables in a mode choice model. The results of the estimated choice models show that the three latent variables investigated - awareness of environmental problems, denial of environmental issues and the desire for variety in one's daily routine - influenced the mode choices of the study participants in different ways which may be attributable to other socio-economic characteristics of the participants. This finding indicates that the scales developed for this study are suitable for capturing attitudes that are relevant to transport behaviour research.
Published in: Transportation research record
Volume: 2322
Issue: 2322
Pages: 31 - 41
ISSN: 0361-1981
Publication date / Date received: 2012-01-01
Publication status: Washington, D.C.
Publication status: Published
Event name: 91th Annual Meeting of the Transportation Research Board
Event date: January 22-26, 2012
Place: Washington D.C.
Language: English
Review status: Peer reviewed
DBID source: FORM-1318089808, WOS-000315841000005
DOI: 10.3141/2322-04
Nebis system number: 000024408
, Rieser-Schüssler, Nadine, 2012 >>
Author(s): Rieser-Schüssler, Nadine
Title: Erhebung von Reisetagebüchern mit Hilfe von GPS Daten
Abstract: 2
Publication date / Date received: 2012-01-01
Event name: Verkehrsingenieurtag 2012
Event date: March 2012
Place: Zürich
Language: German
DBID source: FORM-1415109994
, Rieser-Schüssler, Nadine, 2012 >>
Author(s): Rieser-Schüssler, Nadine
Title: Capitalising modern data sources for observing and modelling transport behaviour
Abstract: The increasing popularity of agent-based models leads to new requirements regarding the data used for modelling and calibration. On the one hand, more detailed and insightful models are necessary to represent behaviour at an individual level. On the other hand, calibration data needs to be more finely-grained. For both exercises, data has to be available at a very high level of spatial and temporal detail. Modern survey technologies offer the potential to obtain this data. However, they also bring along new challenges that have to be overcome to make them usable for real world applications. This paper discusses some of these challenges along with a presentation of the modern survey technologies that are currently researched and used most actively. The aim is to provide guidelines that help researcher and practitioners to find the appropriate data source depending on the purpose and design of their study and the subsequent modelling.
Published in: Transportation letters
Volume: 4
Issue: 2
Pages: 115 - 128
ISSN: 1942-7867, 1942-7875
Publication date / Date received: 2012-01-01
Publication status: Fort Lauderdale, FL
Publication status: Published
Subjects: New data sources, Transport behaviour, Observation, GPS, Smartphones, Processing
Language: English
Review status: Peer reviewed
Keyword: New data sources, Transport behaviour, Observation, GPS, Smartphones, Processing
DBID source: FORM-1328031610, WOS-000312871500005
DOI: 10.3328/TL.2012.04.02.115-128
Nebis system number: 004231702
, Montini, Lara, Horni, Andreas, Rieser-Schüssler, Nadine, Axhausen, Kay W., 2012 >>
Author(s): Montini, Lara, Horni, Andreas, Rieser-Schüssler, Nadine, Axhausen, Kay W.
Title: Searching for Parking in GPS Data
Abstract: Parking search is widely accepted to be a significant contributor to congestion in city centers. The high parking occupation on Saturdays in Zurich suggest this also an issue there. Raw person-based GPS data from Switzerland and especially Zurich is analysed regarding parking search characteristics. For processing the POSDAP routines developed at the institute are extended. The descriptive analysis considers driving times and distances but also subsequent walk stages. Results suggest that search traffic is a local phenomenon and not as dramatic for the overall city as expected.
Published in: Working paper / Transport and Spatial Planning
Volume: 780
Publication date / Date received: 2012-01-01
Publication status: Zürich
Publication status: Published
Subjects: Geodaesie, Geomatik, Kartographie, Remote Sensing|Geodesy, Geomatics, Cartography, Remote Sensing, GPS, Parking, Post-processing, POSDAP
Event name: 13th International Conference on Travel Behaviour Research
Event date: July 15-20, 2012
Place: Toronto, Ontario, Canada
Language: English
Keyword: GPS, Parking, Post-processing, POSDAP
DBID source: FORM-1340857116
DOI: 10.3929/ethz-a-007319185
Nebis system number: 007319185
, Montini, Lara, Horni, Andreas, Rieser-Schüssler, Nadine, Axhausen, Kay W., 2012 >>
Author(s): Montini, Lara, Horni, Andreas, Rieser-Schüssler, Nadine, Axhausen, Kay W.
Title: Searching for Parking in GPS Data
Abstract: Parking search is widely accepted to be a significant contributor to congestion in city centers. The high parking occupation on Saturdays in Zurich suggest this also an issue there. Raw person- based GPS data from Switzerland and especially Zurich is analysed regarding parking search characteristics. For processing the POSDAP routines developed at the institute are extended. The descriptive analysis considers driving times and distances but also subsequent walk stages. Results suggest that search traffic is a local phenomenon and not as dramatic for the overall city as expected.
Publication date / Date received: 2012-01-01
Publication status: Ascona
Publication status: Published
Subjects: GPS, Parking, Post-processing, POSDAP
Event name: 12th Swiss Transport Research Conference (STRC 2012)
Event date: May 2-4, 2012
Place: Ascona, Switzerland
Language: English
Keyword: GPS, Parking, Post-processing, POSDAP
DBID source: FORM-1354548643
, Halldórsdóttir, Katrín, Rieser-Schüssler, Nadine, Axhausen, Kay W., Nielsen, Otto A., Prato, Carlo G., 2012 >>
Author(s): Halldórsdóttir, Katrín, Rieser-Schüssler, Nadine, Axhausen, Kay W., Nielsen, Otto A., Prato, Carlo G.
Title: Efficiency of Choice Set Generation Methods for Bicycle Routes
Abstract: The current study analyses the efficiency of choice set generation methods for bicycle routes and proposes the extension of cost functions to bicycle-oriented factors not limited to distance and time. Three choice set generation methods for route choice were examined in their ability to generate relevant and heterogeneous routes: doubly stochastic generation function, breadth first search on link elimination, and branch & bound algorithm. Efficiency of the methods was evaluated for a high-resolution network by comparing the performances with four multi-attribute cost functions accounting for scenic routes, dedicated cycle lanes, and road type. Data consisted of 778 bicycle trips traced by GPS and carried out by 139 persons living in the Greater Copenhagen Area, in Denmark. Results suggest that both the breadth first search on link elimination and the doubly stochastic generation function generated realistic routes, while the former outperformed in computation cost and the latter produced more heterogeneous routes.
Published in: Arbeitsberichte Verkehrs- und Raumplanung
Volume: 831
Publication date / Date received: 2012-01-01
Publication status: Zürich
Publication status: Published
Subjects: Choice set generation, Bicycle route choice, Breadth first search, Stochastic generation function, Branch and bound
Language: English
Keyword: Choice set generation, Bicycle route choice, Breadth first search, Stochastic generation function, Branch and bound
DBID source: FORM-1391188764
, Axhausen, Kay W., Rieser-Schüssler, Nadine, Montini, Lara, 2012 >>
Author(s): Axhausen, Kay W., Rieser-Schüssler, Nadine, Montini, Lara
Title: Zwischen Tagebuch und GPS Beobachtung
Subtitle: Wie weiter mit der Messung des Verkehrsverhaltens?
Publication date / Date received: 2012-01-01
Publication status: Published
Language: German
Review status: Unknown
DBID source: FORM-1338816494

 

 

 

Wichtiger Hinweis:
Diese Website wird in älteren Versionen von Netscape ohne graphische Elemente dargestellt. Die Funktionalität der Website ist aber trotzdem gewährleistet. Wenn Sie diese Website regelmässig benutzen, empfehlen wir Ihnen, auf Ihrem Computer einen aktuellen Browser zu installieren. Weitere Informationen finden Sie auf
folgender Seite.

Important Note:
The content in this site is accessible to any browser or Internet device, however, some graphics will display correctly only in the newer versions of Netscape. To get the most out of our site we suggest you upgrade to a newer browser.
More information

© 2016 ETH Zurich | Imprint | Disclaimer | 18 August 2014
top