IDEAS home Printed from https://ideas.repec.org/a/spr/elmark/v29y2019i1d10.1007_s12525-018-0292-7.html
   My bibliography  Save this article

Enabling crowdsensing-based road condition monitoring service by intermediary

Author

Listed:
  • Kevin Laubis

    (Information Process Engineering (IPE))

  • Marcel Konstantinov

    (Information Process Engineering (IPE))

  • Viliam Simko

    (Information Process Engineering (IPE))

  • Alexander Gröschel

    (Information Process Engineering (IPE))

  • Christof Weinhardt

    (Karlsruhe Institute of Technology (KIT), Institute of Information Systems and Marketing (IISM))

Abstract

Constant monitoring of road conditions would be beneficial for road authorities as well as road users. However, this is currently not possible due to limited resources. This is because road condition monitoring is carried out by engineering companies using limited resources such as specialized vehicles and trained personnel. The ubiquity of smart devices carried by drivers, such as smartphones and the ever-increasing number of sensors installed in modern vehicles, makes it possible to provide information about the condition of the road on which the vehicle is driving. We develop a smart, crowd-based road condition monitoring service that establishes an intermediary between the crowd as data provider and the road authorities and road users as service customers. In addition to providing customers with accurate and frequent road condition information, subscribers can monetize their collected data. We prove the feasibility and usability of this smart service through analytical and descriptive evaluations.

Suggested Citation

  • Kevin Laubis & Marcel Konstantinov & Viliam Simko & Alexander Gröschel & Christof Weinhardt, 2019. "Enabling crowdsensing-based road condition monitoring service by intermediary," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(1), pages 125-140, March.
    • Handle: RePEc:spr:elmark:v:29:y:2019:i:1:d:10.1007_s12525-018-0292-7
    DOI: 10.1007/s12525-018-0292-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12525-018-0292-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12525-018-0292-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ravi Bapna & Anitesh Barua & Deepa Mani & Amit Mehra, 2010. "Research Commentary ---Cooperation, Coordination, and Governance in Multisourcing: An Agenda for Analytical and Empirical Research," Information Systems Research, INFORMS, vol. 21(4), pages 785-795, December.
    2. Pierre Goovaerts & Geoffrey M. Jacquez, 2005. "Detection of temporal changes in the spatial distribution of cancer rates using local Moran’s I and geostatistically simulated spatial neutral models," Journal of Geographical Systems, Springer, vol. 7(1), pages 137-159, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Delgosha, Mohammad Soltani & Hajiheydari, Nastaran & Talafidaryani, Mojtaba, 2022. "Discovering IoT implications in business and management: A computational thematic analysis," Technovation, Elsevier, vol. 118(C).
    2. Rainer Alt & Haluk Demirkan & Jan Fabian Ehmke & Anne Moen & Alfred Winter, 2019. "Smart services: The move to customer orientation," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(1), pages 1-6, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Li, Yi-Wen & Zhang, Wen-Wen & Zhao, Bin & Sharp, Basil & Gu, Yu & Xu, Shi-Chun & Rao, Lan-lan, 2023. "Natural resources and human development: Role of ICT in testing the resource-curse hypothesis in N11 and BRICS countries," Resources Policy, Elsevier, vol. 81(C).
    2. Maureen Vowles & Ruth Kerry & Ben Ingram & Linda Mason, 2020. "Investigation of the Environmental and Socio-Economic Characteristics of Counties with a High Asthma Burden to Focus Asthma Action in Utah," IJERPH, MDPI, vol. 17(14), pages 1-31, July.
    3. Nica, M., 2010. "Small Business Clusters in Oklahoma: MAR or Jacobs Effects?," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 10(2).
    4. Ezekiel Leo & Quang “Neo” Bui & Olayele Adelakun, 2022. "Outsourcing for Sustainable Performance: Insights from Two Studies on Achieving Innovation through Information Technology and Business Process Outsourcing," Sustainability, MDPI, vol. 14(4), pages 1-16, February.
    5. Chandan Kumar & Prashant Kumar Singh & Rajesh Kumar Rai, 2012. "Under-Five Mortality in High Focus States in India: A District Level Geospatial Analysis," PLOS ONE, Public Library of Science, vol. 7(5), pages 1-15, May.
    6. Malgorzata Pankowska, 2019. "Information Technology Outsourcing Chain: Literature Review and Implications for Development of Distributed Coordination," Sustainability, MDPI, vol. 11(5), pages 1-28, March.
    7. Jonghak Sun, 2017. "The effect of information technology on IT-facilitated coordination, IT-facilitated autonomy, and decision-makings at the individual level," Applied Economics, Taylor & Francis Journals, vol. 49(2), pages 138-155, January.
    8. Fandel, Günter & Trockel, Jan, 2020. "Job Allocation and Profits in Service Production," European Journal of Operational Research, Elsevier, vol. 287(3), pages 1052-1061.
    9. Fatima Khalique & Shoab Ahmed Khan & Wasi Haider Butt & Irum Matloob, 2020. "An Integrated Approach for Spatio-Temporal Cholera Disease Hotspot Relation Mining for Public Health Management in Punjab, Pakistan," IJERPH, MDPI, vol. 17(11), pages 1-18, May.
    10. Wei-Chih Lin & Yu-Pin Lin & Yung-Chieh Wang & Tsun-Kuo Chang & Li-Chi Chiang, 2014. "Assessing and Mapping Spatial Associations among Oral Cancer Mortality Rates, Concentrations of Heavy Metals in Soil, and Land Use Types Based on Multiple Scale Data," IJERPH, MDPI, vol. 11(2), pages 1-21, February.
    11. Herz, Thomas Ph. & Hamel, Florian & Uebernickel, Falk & Brenner, Walter, 2013. "Toward a model of effective monitoring of IT application development and maintenance suppliers in multisourced environments," International Journal of Accounting Information Systems, Elsevier, vol. 14(3), pages 235-253.
    12. Bivand, Roger & Müller, Werner G. & Reder, Markus, 2009. "Power calculations for global and local Moran's," Computational Statistics & Data Analysis, Elsevier, vol. 53(8), pages 2859-2872, June.
    13. Lioliou, Eleni & Willcocks, Leslie & Liu, Xiaohui, 2019. "Researching IT multi-sourcing and opportunistic behavior in conditions of uncertainty: A case approach," Journal of Business Research, Elsevier, vol. 103(C), pages 387-396.
    14. Qiang Cai & Gerard Rushton & Budhendra Bhaduri, 2012. "Validation tests of an improved kernel density estimation method for identifying disease clusters," Journal of Geographical Systems, Springer, vol. 14(3), pages 243-264, July.

    More about this item

    Keywords

    Crowdsensing; Internet of things; Road condition monitoring; Multi-sourcing; Service integration; Hotspot analysis;
    All these keywords.

    JEL classification:

    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • H54 - Public Economics - - National Government Expenditures and Related Policies - - - Infrastructures
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:elmark:v:29:y:2019:i:1:d:10.1007_s12525-018-0292-7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.