Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
SIRPSS - Sustainable Industrial Site Redevelopment Planning Support System Read chapter Read first chapter

2018 | OriginalPaper | Chapter

An Interactive Learning Environment Based on System Dynamics Methodology for Sustainable Mobility Challenges Communication & Citizens’ Engagement

Authors : Glykeria Myrovali, Georgios Tsaples, Maria Morfoulaki, Georgia Aifadopoulou, Jason Papathanasiou

Published in: Decision Support Systems VIII: Sustainable Data-Driven and Evidence-Based Decision Support

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Serving the goal of enhancing the participatory approach of sustainable urban mobility planning for delivering acceptable and viable mobility plans, the current paper presents the MOTIVATE Interactive Learning Environment (ILE)/Game. Based on the System Dynamics (SD) methodology and answering to the need for catching up to the interactivity trend, the MOTIVATE ILE offers the user with a simplified experiential procedure for understanding the consequences of mode choice and sustainable decision making. Moreover, the rewarding system proposed for allowing the performance of actions while using the ILE transforms the user into an active agent of mobility planning by asking him/her to provide travel data and opinions for the improvement of city’s daily transportation performance.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Big Data Analytics to Improve the Decision-Making Process in Public Safety: A Case Study in Northeast Brazil
next chapter Skills and Mindsets for an Analytically Innovative Organisation
Literature
1.
Litman, T.: Module 2b: mobility management. Victoria Transport Policy Institute, GTZ Transport and Mobility Group (2003)
2.
Litman, T.: The online TDM encyclopedia: mobility management information gateway. Transp. Policy 10(3), 245–249 (2003)CrossRef
3.
Meyer, M.D.: Demand management as an element of transportation policy: using carrots and sticks to influence travel behavior. Transp. Res. Part A: Policy Pract. 33(7–8), 575–599 (1999)
4.
Meyer, M.: A Toolbox for Alleviating Traffic Congestion and Enhancing Mobility. Institute of Transportation Engineers, Washington (1997)
5.
Corazza, M.V., Guida, U., Musso, A., Tozzi, M.: A European vision for more environmentally friendly buses. Transp. Res. Part D: Transp. Environ. 45, 48–63 (2016)CrossRef
6.
Morfoulaki, M., Myrovali, G., Kotoula, N.: Increasing the attractiveness of PuT by investing in soft ICT based measures: going from words to actions under an austerity backdrop – Thessaloniki’s case, Greece. Res. Transp. Econ. 51, 40–48 (2015)CrossRef
7.
Meyer, M., Siwek, S., Berman, W. (Eds.) The state-of-the-practice of travel demand management. In: Transportation Research Board, TDM Innovation and Research Symposium, Transportation Research Circular 433, Washington (1994)
8.
Marshall, S., Banister, D., McLellan, A.: A strategic assessment of travel trends and travel reduction strategies. Innov. Eur. J. Soc. Sci. 10, 289–304 (1997)CrossRef
9.
Marshall, S., Banister, D.: Travel reduction strategies: intentions and outcomes. Transp. Res. Part A 34, 321–338 (2000)
10.
Evans, M., Davies, J.: Understanding policy transfer: a multi-level, multi-disciplinary perspective. Public Adm. 77(2), 361–385 (1999)CrossRef
11.
James, O., Lodge, M.: The limitations of ‘policy transfer’ and ‘lesson-drawing’ for public policy. Res. Polit. Stud. Rev. 1(3), 179–193 (2003)CrossRef
12.
Macário, R., Marques, C.F.: Transferability of sustainable urban mobility measures. Res. Transp. Econ. 22(1), 146–156 (2008)CrossRef
13.
Marsden, G., Stead, D.: Policy transfer and learning in the field of transport: a review of concepts and evidence. Transp. Policy 18(3), 492–500 (2011). ISSN 0967-070XCrossRef
14.
Misra, A., Gooze, A., Watkins, K., Asad, M., Le Dantec, C.A.: Crowdsourcing and its application to transportation data collection and management. In: TRB 2014 Annual Compendium of Papers. Georgia Institute of Technology (2014)
15.
Slotterback, C.S.: Public involvement in transportation project planning and design. J. Archit. Plan. Res. 27(2), 144 (2010)
16.
Rose, G., Ampt, E.: Travel behavior change through individual engagement. In: Hensher, D.A., Button, K.J. (ed.) Handbook of Transport and the Environment (Handbooks in Transport), vol. 4, pp. 739–755 (2003)CrossRef
17.
18.
Garling, T., Fujii, S.: Travel behavior modification: theories, methods, and programs, Chap. 5. In: The Expanding Sphere of Travel Behavior Research. Emerald Group Publishing (2009)
19.
Verplanken, B., Walker, I., Davis, A., Jurasek, M.: Context change and travel mode choice: combining the habit discontinuity and self-activation hypotheses. J. Environ. Psychol. 28(2), 121–127 (2008)CrossRef
20.
Gärling, T., Bamberg, S., Friman, M., Fujii, S., Richter, J.: Implementation of soft transport policy measures to reduce private car use in urban areas. In: Panels of the Energy Efficiency and Behavior Conference. European Council for an Energy Efficient Economy (2009)
21.
Ceresia, F.: Interactive learning environments (ILEs) as effective tools for teaching social science. Procedia – Soc. Behav. Sci. 217, 512–521 (2016)CrossRef
22.
23.
24.
MOTIVATE project: D3.2.1/design of the logical architecture of MOTIVATE platform, Interreg-MED programme (2017)
25.
Wagner, J.: Measuring the performance of public engagement in transportation 575 planning: three best principles. In: TRB 2013 Annual Meeting, vol. 954 (2013)
26.
Dennis, P.E., Wallace, R., Reed, B.: Crowdsourcing transportation systems data. In: Michigan Department of Transportation (MDOT) REQ. NO. 1259, Connected and Automated Industry Coordination Sequence D 02 Crowd Sourced Mobile Applications (2015)
27.
Dennis, E.P., Cregger, J., Hong, Q.: ITS data ethics in the public sector. Center for Automotive Research and Michigan Department of Transportation (2014)
28.
Efthymiou, D., Antoniou, C.: Use of social media for transport data collection. Procedia – Soc. Behav. Sci. 48, 775–785 (2012)CrossRef
29.
Vlahogianni, E., Karlaftis, M., Golias, J.: Short-term traffic forecasting: where we are and where we’re going. Transp. Res. Part C: Emerg. Technol. Part 43(1), 3–19 (2014)CrossRef
30.
Tomasic, A., Zimmerman, J., Garrod, C., Huang, Y., Nip, T., Steinfeld, A.: The performance of a crowdsourced transportation information system. In: TRB 2015 Annual Meeting (2015)
31.
Figliozzi, M., Blanc, B.: Evaluating the use of crowdsourcing as a data collection method for bicycle performance measures and identification of facility improvement needs. Report No. FHWA-OR-RD-16-04 (2015)
32.
Hood, J., Sall, E., Charlton, B.: A GPS-based bicycle route choice model for San Francisco, California. Transp. Lett. Int. J. Transp. Res. 3, 63–75 (2011)CrossRef
33.
34.
Jette, A., Breck, A., Johns, R.: Integrating balanced scorecard performance management with crowdsourced strategic planning. In: TRB 2015 Annual Meeting (2015)
35.
Steiger, D.: Democratizing strategy: how crowdsourcing can be used for strategy dialogues” 10 California Management Review; Summer 2013, 54:4, pp. 44–69 (2013)
36.
Banister, D.: The sustainable mobility paradigm. Transp. Policy 15(2), 73–80 (2008)CrossRef
37.
Brynjarsdottir, H., Håkansson, M., Pierce, J., Baumer, E., DiSalvo, C., Sengers, P.: Sustainably unpersuaded: how persuasion narrows our vision of sustainability. In: Proceedings of the 2012 ACM Annual Conference on Human Factors in Computing Systems, pp. 947–956. ACM (2012)
38.
Froehlich, J., Dillahunt, T., Klasnja, P., Mankoff, J., Consolvo, S., Harrison, B., et al.: UbiGreen: investigating a mobile tool for tracking and supporting green transportation habits. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems 2009, pp. 1043–1052. ACM (2009)
39.
Broll, G., Cao, H., Ebben, P., Holleis, P., Jacobs, K., Koolwaaij, J., et al.: Tripzoom: an app to improve your mobility behavior. In: Proceedings of the 11th International Conference on Mobile and Ubiquitous Multimedia (MUM 2012), (Article 57). ACM, New York (2012)
40.
Gabrielli, S., Forbes, P., Jylh, A., Wells, S., Sirιn, M., Hemminki, S., Nurmi, P., Maimone, R., Masthoff, J., Jacucci, G.: Design challenges in motivating change for sustainable urban mobility. Comput. Hum. Behav. 41, 416–423 (2014)CrossRef
41.
Beirão, G., Cabral, S.J.: Understanding attitudes towards PuT and private cars: a qualitative study. Transp. Policy 14(6), 478–489 (2007)CrossRef
42.
Edwards, W.: Dynamic decision theory and probabilistic information processings. Hum. Factors: J. Hum. Factors Ergon. Soc. 4(2), 59–74 (1962)CrossRef
43.
Quadrat-Ullah, H., Karakul, M.: Decision making in interactive learning environments: towards an integrated model. J. Decis. Syst. 16(1), 79–99 (2007)CrossRef
44.
Sterman, J., et al.: Management flight simulators to support climate negotiations. Environ. Model Softw. 44, 122–135 (2013)CrossRef
45.
Forrester, J.W.: Industrial Dynamics. MIT Press, Cambridge (1961)
46.
Sterman, J.D.: Business Dynamics: Systems Thinking and Modeling for a Complex World. Irwin/McGraw-Hill, Boston (2000)
Metadata
Title
An Interactive Learning Environment Based on System Dynamics Methodology for Sustainable Mobility Challenges Communication & Citizens’ Engagement
Authors
Glykeria Myrovali
Georgios Tsaples
Maria Morfoulaki
Georgia Aifadopoulou
Jason Papathanasiou
Copyright Year
2018
Book
Decision Support Systems VIII: Sustainable Data-Driven and Evidence-Based Decision Support

Print ISBN: 978-3-319-90314-9

Electronic ISBN: 978-3-319-90315-6

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-90315-6_8

Premium Partner

    Image Credits