The MOBIS dataset: a large GPS dataset of mobility behaviour in Switzerland View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2022-06-21

AUTHORS

Joseph Molloy, Alberto Castro, Thomas Götschi, Beaumont Schoeman, Christopher Tchervenkov, Uros Tomic, Beat Hintermann, Kay W. Axhausen

ABSTRACT

This article presents the MOBIS dataset and underlying survey methods used in its collection. The MOBIS study was a nation-wide randomised controlled trial (RCT) of transport pricing in Switzerland, utilising a combination of postal recruitment, online surveys, and GPS tracking. 21,571 persons completed the first online survey, and 3680 persons completed 8 weeks of GPS tracking. Many continued tracking for over a year after the study was completed. In the field experiment, participants participated through the use of a GPS tracking app, Catch-my-Day, which logged their daily travel on different transport modes and imputed the trip segments and modes. The experiment lasted 8 weeks, bookended by two online surveys. After the first 4-week control phase, participants were split into two different treatment groups and a continued control group. An analysis of the survey participation shows that the technology is capable of supporting such an experiment on both Android and iOS, the two main mobile platforms. Significant differences in the engagement and attrition were observed between iOS and Android participants over the 8-week period. Finally, the attrition rate did not vary between treatment groups. This paper also reports on the wealth of data that are being made available for further research, which includes over 3 million trip stages and activities, labelled with transport mode and purpose respectively. More... »

PAGES

1-25

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11116-022-10299-4

DOI

http://dx.doi.org/10.1007/s11116-022-10299-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1148838539

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/35757094


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/12", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Built Environment and Design", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/15", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Commerce, Management, Tourism and Services", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0905", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Civil Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1205", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Urban and Regional Planning", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1507", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Transportation and Freight Services", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "IVT, ETH Zurich, Zurich, Switzerland", 
          "id": "http://www.grid.ac/institutes/grid.5801.c", 
          "name": [
            "IVT, ETH Zurich, Zurich, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Molloy", 
        "givenName": "Joseph", 
        "id": "sg:person.010354670377.97", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010354670377.97"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "WWZ, University of Basel, Basel, Switzerland", 
          "id": "http://www.grid.ac/institutes/grid.6612.3", 
          "name": [
            "WWZ, University of Basel, Basel, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Castro", 
        "givenName": "Alberto", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "WWZ, University of Basel, Basel, Switzerland", 
          "id": "http://www.grid.ac/institutes/grid.6612.3", 
          "name": [
            "WWZ, University of Basel, Basel, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "G\u00f6tschi", 
        "givenName": "Thomas", 
        "id": "sg:person.01212411755.34", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01212411755.34"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "WWZ, University of Basel, Basel, Switzerland", 
          "id": "http://www.grid.ac/institutes/grid.6612.3", 
          "name": [
            "WWZ, University of Basel, Basel, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schoeman", 
        "givenName": "Beaumont", 
        "id": "sg:person.012266213057.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012266213057.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "IVT, ETH Zurich, Zurich, Switzerland", 
          "id": "http://www.grid.ac/institutes/grid.5801.c", 
          "name": [
            "IVT, ETH Zurich, Zurich, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tchervenkov", 
        "givenName": "Christopher", 
        "id": "sg:person.013724654021.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013724654021.07"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "INE, Zurich University of Applied Sciences, Winterthur, Switzerland", 
          "id": "http://www.grid.ac/institutes/grid.19739.35", 
          "name": [
            "INE, Zurich University of Applied Sciences, Winterthur, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tomic", 
        "givenName": "Uros", 
        "id": "sg:person.016622712125.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016622712125.17"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "WWZ, University of Basel, Basel, Switzerland", 
          "id": "http://www.grid.ac/institutes/grid.6612.3", 
          "name": [
            "WWZ, University of Basel, Basel, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hintermann", 
        "givenName": "Beat", 
        "id": "sg:person.01226637626.88", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01226637626.88"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "IVT, ETH Zurich, Zurich, Switzerland", 
          "id": "http://www.grid.ac/institutes/grid.5801.c", 
          "name": [
            "IVT, ETH Zurich, Zurich, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Axhausen", 
        "givenName": "Kay W.", 
        "id": "sg:person.01355565434.48", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01355565434.48"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s11116-007-9126-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039494876", 
          "https://doi.org/10.1007/s11116-007-9126-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11116-005-5711-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047020337", 
          "https://doi.org/10.1007/s11116-005-5711-x"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2022-06-21", 
    "datePublishedReg": "2022-06-21", 
    "description": "This article presents the MOBIS dataset and underlying survey methods used in its collection. The MOBIS study was a nation-wide randomised controlled trial (RCT) of transport pricing in Switzerland, utilising a combination of postal recruitment, online surveys, and GPS tracking. 21,571 persons completed the first online survey, and 3680 persons completed 8 weeks of GPS tracking. Many continued tracking for over a year after the study was completed. In the field experiment, participants participated through the use of a GPS tracking app, Catch-my-Day, which logged their daily travel on different transport modes and imputed the trip segments and modes. The experiment lasted 8 weeks, bookended by two online surveys. After the first 4-week control phase, participants were split into two different treatment groups and a continued control group. An analysis of the survey participation shows that the technology is capable of supporting such an experiment on both Android and iOS, the two main mobile platforms. Significant differences in the engagement and attrition were observed between iOS and Android participants over the 8-week period. Finally, the attrition rate did not vary between treatment groups. This paper also reports on the wealth of data that are being made available for further research, which includes over 3 million trip stages and activities, labelled with transport mode and purpose respectively.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s11116-022-10299-4", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1043848", 
        "issn": [
          "0049-4488", 
          "1572-9435"
        ], 
        "name": "Transportation", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }
    ], 
    "keywords": [
      "transport pricing", 
      "tracking", 
      "pricing", 
      "dataset", 
      "experiments", 
      "different transport modes", 
      "transport modes", 
      "mode", 
      "control phase", 
      "treatment groups", 
      "wealth of data", 
      "different treatment groups", 
      "behavior", 
      "postal recruitment", 
      "online survey", 
      "first online survey", 
      "trip segments", 
      "phase", 
      "control group", 
      "analysis", 
      "mobile platform", 
      "significant differences", 
      "data", 
      "GPS dataset", 
      "mobility behavior", 
      "article", 
      "combination", 
      "GPS tracking", 
      "weeks", 
      "participants", 
      "use", 
      "daily travel", 
      "group", 
      "survey participation", 
      "technology", 
      "attrition rates", 
      "further research", 
      "purpose", 
      "survey method", 
      "collection", 
      "study", 
      "trials", 
      "survey", 
      "persons", 
      "years", 
      "tracking apps", 
      "days", 
      "travel", 
      "segments", 
      "platform", 
      "rate", 
      "wealth", 
      "research", 
      "large GPS dataset", 
      "Switzerland", 
      "recruitment", 
      "field experiment", 
      "participation", 
      "differences", 
      "attrition", 
      "period", 
      "stage", 
      "activity", 
      "method", 
      "apps", 
      "catch", 
      "iOS", 
      "engagement", 
      "nations", 
      "Android", 
      "trip stages", 
      "paper"
    ], 
    "name": "The MOBIS dataset: a large GPS dataset of mobility behaviour in Switzerland", 
    "pagination": "1-25", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1148838539"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11116-022-10299-4"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "35757094"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11116-022-10299-4", 
      "https://app.dimensions.ai/details/publication/pub.1148838539"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-10-01T06:50", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221001/entities/gbq_results/article/article_931.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s11116-022-10299-4"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s11116-022-10299-4'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11116-022-10299-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11116-022-10299-4'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11116-022-10299-4'


 

This table displays all metadata directly associated to this object as RDF triples.

205 TRIPLES      21 PREDICATES      100 URIs      86 LITERALS      5 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11116-022-10299-4 schema:about anzsrc-for:09
2 anzsrc-for:0905
3 anzsrc-for:12
4 anzsrc-for:1205
5 anzsrc-for:15
6 anzsrc-for:1507
7 schema:author N79938d409baa43d0890363c881041f7d
8 schema:citation sg:pub.10.1007/s11116-005-5711-x
9 sg:pub.10.1007/s11116-007-9126-8
10 schema:datePublished 2022-06-21
11 schema:datePublishedReg 2022-06-21
12 schema:description This article presents the MOBIS dataset and underlying survey methods used in its collection. The MOBIS study was a nation-wide randomised controlled trial (RCT) of transport pricing in Switzerland, utilising a combination of postal recruitment, online surveys, and GPS tracking. 21,571 persons completed the first online survey, and 3680 persons completed 8 weeks of GPS tracking. Many continued tracking for over a year after the study was completed. In the field experiment, participants participated through the use of a GPS tracking app, Catch-my-Day, which logged their daily travel on different transport modes and imputed the trip segments and modes. The experiment lasted 8 weeks, bookended by two online surveys. After the first 4-week control phase, participants were split into two different treatment groups and a continued control group. An analysis of the survey participation shows that the technology is capable of supporting such an experiment on both Android and iOS, the two main mobile platforms. Significant differences in the engagement and attrition were observed between iOS and Android participants over the 8-week period. Finally, the attrition rate did not vary between treatment groups. This paper also reports on the wealth of data that are being made available for further research, which includes over 3 million trip stages and activities, labelled with transport mode and purpose respectively.
13 schema:genre article
14 schema:isAccessibleForFree true
15 schema:isPartOf sg:journal.1043848
16 schema:keywords Android
17 GPS dataset
18 GPS tracking
19 Switzerland
20 activity
21 analysis
22 apps
23 article
24 attrition
25 attrition rates
26 behavior
27 catch
28 collection
29 combination
30 control group
31 control phase
32 daily travel
33 data
34 dataset
35 days
36 differences
37 different transport modes
38 different treatment groups
39 engagement
40 experiments
41 field experiment
42 first online survey
43 further research
44 group
45 iOS
46 large GPS dataset
47 method
48 mobile platform
49 mobility behavior
50 mode
51 nations
52 online survey
53 paper
54 participants
55 participation
56 period
57 persons
58 phase
59 platform
60 postal recruitment
61 pricing
62 purpose
63 rate
64 recruitment
65 research
66 segments
67 significant differences
68 stage
69 study
70 survey
71 survey method
72 survey participation
73 technology
74 tracking
75 tracking apps
76 transport modes
77 transport pricing
78 travel
79 treatment groups
80 trials
81 trip segments
82 trip stages
83 use
84 wealth
85 wealth of data
86 weeks
87 years
88 schema:name The MOBIS dataset: a large GPS dataset of mobility behaviour in Switzerland
89 schema:pagination 1-25
90 schema:productId N20b3c3411f8a44a5920a7f28df193592
91 N273994fb61d94fc582b9186525e16fc3
92 N864c8784eb0747419a2bb8a0b3d90e0c
93 schema:sameAs https://app.dimensions.ai/details/publication/pub.1148838539
94 https://doi.org/10.1007/s11116-022-10299-4
95 schema:sdDatePublished 2022-10-01T06:50
96 schema:sdLicense https://scigraph.springernature.com/explorer/license/
97 schema:sdPublisher N8c26949a32644ad3b722a1b596880501
98 schema:url https://doi.org/10.1007/s11116-022-10299-4
99 sgo:license sg:explorer/license/
100 sgo:sdDataset articles
101 rdf:type schema:ScholarlyArticle
102 N20b3c3411f8a44a5920a7f28df193592 schema:name pubmed_id
103 schema:value 35757094
104 rdf:type schema:PropertyValue
105 N273994fb61d94fc582b9186525e16fc3 schema:name dimensions_id
106 schema:value pub.1148838539
107 rdf:type schema:PropertyValue
108 N3560e554a5e541879080c9012739e815 rdf:first sg:person.016622712125.17
109 rdf:rest N9d0537dc2240444ca0ad6a99c4421800
110 N4546be016d384801934fd5db596c4d80 rdf:first sg:person.012266213057.44
111 rdf:rest Nb90182625ff940cb80e4e5a9ca5284a2
112 N76f05e5c597b42e1a59e2d09dea22ac5 rdf:first N9a25a6efa76c48e0b0a4afe5164fc5f5
113 rdf:rest Ndf51f624f7034c2fb0af9c8e3e258a0d
114 N79938d409baa43d0890363c881041f7d rdf:first sg:person.010354670377.97
115 rdf:rest N76f05e5c597b42e1a59e2d09dea22ac5
116 N864c8784eb0747419a2bb8a0b3d90e0c schema:name doi
117 schema:value 10.1007/s11116-022-10299-4
118 rdf:type schema:PropertyValue
119 N8c26949a32644ad3b722a1b596880501 schema:name Springer Nature - SN SciGraph project
120 rdf:type schema:Organization
121 N9a25a6efa76c48e0b0a4afe5164fc5f5 schema:affiliation grid-institutes:grid.6612.3
122 schema:familyName Castro
123 schema:givenName Alberto
124 rdf:type schema:Person
125 N9d0537dc2240444ca0ad6a99c4421800 rdf:first sg:person.01226637626.88
126 rdf:rest Nb0ba336057644c17939b3bfbbf32c519
127 Nb0ba336057644c17939b3bfbbf32c519 rdf:first sg:person.01355565434.48
128 rdf:rest rdf:nil
129 Nb90182625ff940cb80e4e5a9ca5284a2 rdf:first sg:person.013724654021.07
130 rdf:rest N3560e554a5e541879080c9012739e815
131 Ndf51f624f7034c2fb0af9c8e3e258a0d rdf:first sg:person.01212411755.34
132 rdf:rest N4546be016d384801934fd5db596c4d80
133 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
134 schema:name Engineering
135 rdf:type schema:DefinedTerm
136 anzsrc-for:0905 schema:inDefinedTermSet anzsrc-for:
137 schema:name Civil Engineering
138 rdf:type schema:DefinedTerm
139 anzsrc-for:12 schema:inDefinedTermSet anzsrc-for:
140 schema:name Built Environment and Design
141 rdf:type schema:DefinedTerm
142 anzsrc-for:1205 schema:inDefinedTermSet anzsrc-for:
143 schema:name Urban and Regional Planning
144 rdf:type schema:DefinedTerm
145 anzsrc-for:15 schema:inDefinedTermSet anzsrc-for:
146 schema:name Commerce, Management, Tourism and Services
147 rdf:type schema:DefinedTerm
148 anzsrc-for:1507 schema:inDefinedTermSet anzsrc-for:
149 schema:name Transportation and Freight Services
150 rdf:type schema:DefinedTerm
151 sg:journal.1043848 schema:issn 0049-4488
152 1572-9435
153 schema:name Transportation
154 schema:publisher Springer Nature
155 rdf:type schema:Periodical
156 sg:person.010354670377.97 schema:affiliation grid-institutes:grid.5801.c
157 schema:familyName Molloy
158 schema:givenName Joseph
159 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010354670377.97
160 rdf:type schema:Person
161 sg:person.01212411755.34 schema:affiliation grid-institutes:grid.6612.3
162 schema:familyName Götschi
163 schema:givenName Thomas
164 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01212411755.34
165 rdf:type schema:Person
166 sg:person.012266213057.44 schema:affiliation grid-institutes:grid.6612.3
167 schema:familyName Schoeman
168 schema:givenName Beaumont
169 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012266213057.44
170 rdf:type schema:Person
171 sg:person.01226637626.88 schema:affiliation grid-institutes:grid.6612.3
172 schema:familyName Hintermann
173 schema:givenName Beat
174 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01226637626.88
175 rdf:type schema:Person
176 sg:person.01355565434.48 schema:affiliation grid-institutes:grid.5801.c
177 schema:familyName Axhausen
178 schema:givenName Kay W.
179 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01355565434.48
180 rdf:type schema:Person
181 sg:person.013724654021.07 schema:affiliation grid-institutes:grid.5801.c
182 schema:familyName Tchervenkov
183 schema:givenName Christopher
184 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013724654021.07
185 rdf:type schema:Person
186 sg:person.016622712125.17 schema:affiliation grid-institutes:grid.19739.35
187 schema:familyName Tomic
188 schema:givenName Uros
189 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016622712125.17
190 rdf:type schema:Person
191 sg:pub.10.1007/s11116-005-5711-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1047020337
192 https://doi.org/10.1007/s11116-005-5711-x
193 rdf:type schema:CreativeWork
194 sg:pub.10.1007/s11116-007-9126-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039494876
195 https://doi.org/10.1007/s11116-007-9126-8
196 rdf:type schema:CreativeWork
197 grid-institutes:grid.19739.35 schema:alternateName INE, Zurich University of Applied Sciences, Winterthur, Switzerland
198 schema:name INE, Zurich University of Applied Sciences, Winterthur, Switzerland
199 rdf:type schema:Organization
200 grid-institutes:grid.5801.c schema:alternateName IVT, ETH Zurich, Zurich, Switzerland
201 schema:name IVT, ETH Zurich, Zurich, Switzerland
202 rdf:type schema:Organization
203 grid-institutes:grid.6612.3 schema:alternateName WWZ, University of Basel, Basel, Switzerland
204 schema:name WWZ, University of Basel, Basel, Switzerland
205 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...