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City Probe: The Crowdsourcing Platform Driven by Citizen-Based Sensing for Spatial Identification and Assessment

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Cooperative Design, Visualization, and Engineering (CDVE 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9929))

Abstract

In this paper, we introduce the City Probe, a participatory sensing system that can quantify citizens’ perception of places. City Probe recruits citizens to participate in the spatial identification and assessment. It includes the smartphone APP that allows citizens to photo and rate their locational characteristics according to some issues. Their contributions, with latitude and longitude coordinates, would be uploaded and quantified in the City Probe cloud platform and visualized into a weighted map that reveals the collective out-come based on citizens’ cooperation. Pilot studies in the campus have been accomplished. The collected geospatial data is represented in terms of the weighted map for disclosure of Information and decision-making supports.

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References

  1. Aanensen, D.M., Huntley, D.M., Feil, E.J., Al-Own, F., Spratt, B.G.: EpiCollect: linking smartphones to web applications for epidemiology, ecology and community data collection. PLoS ONE 4, 6968 (2009)

    Article  Google Scholar 

  2. Andrienko, G., Andrienko, N.: A visual analytics approach to exploration of large amounts of movement data. In: Sebillo, M., Vitiello, G., Schaefer, G. (eds.) VISUAL 2008. LNCS, vol. 5188, pp. 1–4. Springer, Heidelberg (2008)

    Google Scholar 

  3. Bailey, K., Brumm, J., Grossardt, T.: Towards structured public involvement in highway design: a comparative study of visualization methods and preference modeling using CAVE (Casewise Visual Evaluation). J. Geogr. Inf. 5(1), 1–15 (2001)

    Google Scholar 

  4. Bulusu, N., Chou, C.T., Kanhere, S., Dong, Y., Sehgal, S., Sullivan, D., Blazeski, L.: Participatory sensing in commerce: using mobile camera phones to track market price dispersion. In: Proceedings of the International Workshop on Urban, Community, and Social Applications of Networked Sensing Systems, pp. 6–10 (2008)

    Google Scholar 

  5. Burke, J.A., Estrin, D., Hansen, M., Parker, A., Ramanathan, N., Reddy, S., Srivastava, M.B.: Participatory sensing. Center for Embedded Network Sensing (2006)

    Google Scholar 

  6. Christin, D., Reinhardt, A., Kanhere, S.S., Hollick, M.: A survey on privacy in mobile participatory sensing applications. J. Syst. Softw. 84, 1928–1946 (2011)

    Article  Google Scholar 

  7. Currid, E., Williams, S.: The geography of buzz: art, culture and the social milieu in Los Angeles and New York. J. Econ. Geogr. 10, 423–451 (2010)

    Article  Google Scholar 

  8. Dykes, J., Purves, R., Edwardes, A., Wood, J.: Exploring volunteered geographic information to describe place: visualization of the “Geograph British Isles” collection. In: Proceedings of GIS Research UK 16th Annual Conference GISRUK, pp. 256–267 (2008)

    Google Scholar 

  9. Eisenman, S.B., Miluzzo, E., Lane, N.D., Peterson, R.A., Ahn, G.S., Campbell, A.T.: BikeNet: a mobile sensing system for cyclist experience mapping. ACM Trans. Sensor Netw. 6(1), 6 (2009)

    Article  Google Scholar 

  10. Gillmor, D.: We the Media: Grassroots Journalism by the People, for the People. O’Reilly Media Inc., (2006)

    Google Scholar 

  11. Goodchild, M.F.: Citizens as sensors: the world of volunteered geography. GeoJournal 69(4), 211–221 (2007)

    Article  Google Scholar 

  12. Hull, B., Bychkovsky, V., Zhang, Y., Chen, K., Goraczko, M., Miu, A., Shih, E., Balakrishnan, H., Madden, S.: CarTel: a distributed mobile sensor computing system. In: 4th ACM Conference on Embedded Networked Sensor Systems, pp. 125–138 (2006)

    Google Scholar 

  13. Kim, S., Mankoff, J., Paulos, E.: Sensr: evaluating a flexible framework for authoring mobile data-collection tools for citizen science. In: Proceedings of Conference on Computer Supported Cooperative Work (CSCW 2013), pp. 1453–1462 (2013)

    Google Scholar 

  14. Koch, F., Cardonha, C., Gentil, J.M., Borger, S.: A platform for citizen sensing in sentient cities. In: Nin, J., Villatoro, D. (eds.) CitiSens 2012. LNCS, vol. 7685, pp. 57–66. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  15. Kramis, M., Gabathuler, C., Fabrikant, S.I., Waldvogel, M.: An XML-based infrastructure to enhance collaborative geographic visual analytics. Cartogr. Geogr. Inf. Sci. 36, 281–293 (2009)

    Article  Google Scholar 

  16. Mennis, J., Guo, D.: Spatial data mining and geographic knowledge discovery--an introduction. Comput. Environ. Urban Syst. 33(6), 403–408 (2009)

    Article  Google Scholar 

  17. Naik, N., Philipoom, J., Raskar, R., Hidalgo, C.: Streetscore-predicting the perceived safety of one million streetscapes. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp. 793–799 (2014)

    Google Scholar 

  18. Paulos, E., Honicky, R., Hooker, B.: Citizen science: enabling participatory urbanism. In: Handbook of Research on Urban Informatics: The Practice and Promise of the RealTime City, pp. 414–436 (2009)

    Google Scholar 

  19. Rana, R.K., Chou, C.T., Kanhere, S.S., Bulusu, N., Hu, W.: Ear-phone: an end-to-end participatory urban noise mapping system. In: Proceedings of International Conference on Information Processing in Sensor Networks IPSN, pp. 105–116 (2010)

    Google Scholar 

  20. Salesses, P., Schechtner, K., Hidalgo, C.A.: The collaborative image of the city: mapping the inequality of urban perception. PLoS ONE 8, e68400 (2013)

    Article  Google Scholar 

  21. Sandole, T.: Makeshift metropolis: ideas about cities. J. Int. Aff. 65, 198 (2012)

    Google Scholar 

  22. Schade, S., Díaz, L., Ostermann, F., Spinsanti, L., Luraschi, G., Cox, S., Nuñez, M., De Longueville, B.: Citizen-based sensing of crisis events: sensor web enablement for volunteered geographic information. Appl. Geomatics 5, 3–18 (2013)

    Article  Google Scholar 

  23. Shen, Y.T., Chen, P.C., Jeng, T.S.: Design and evaluation of eco-feedback interfaces to support location-based services for individual energy awareness and conservation. In: Kurosu, M. (ed.) HCII/HCI 2013, Part V. LNCS, vol. 8008, pp. 132–140. Springer, Heidelberg (2013)

    Google Scholar 

  24. Shen, Y.T., Jeng, T.-S., Hsu, Y.-C.: A “live” interactive tagging interface for collaborative learning. In: Luo, Y. (ed.) CDVE 2011. LNCS, vol. 6874, pp. 102–109. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  25. Shen, Y.T., Lu, P.W.: Engage the power of social community in the lecture-based learning by using the collaborative tagging system. J. Converg. Inf. Technol. 8, 485–493 (2013)

    Google Scholar 

  26. Shen, Y.T., Lu, P.W.: Learning by annotating: a system development study of real-time synchronous supports for distributed learning in multiple locations. In: 6th International Conference on New Trends in Information Science and Service Science and Data Mining (ISSDM), pp. 701–706 (2012)

    Google Scholar 

  27. Sheth, A.: Citizen sensing, social signals, and enriching human experience. IEEE Internet Comput. 13, 87–92 (2009)

    Article  Google Scholar 

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Acknowledgements

We gratefully acknowledge the support from the Ministry of Science and Technology, Taiwan. This research was supported by the Ministry of Science and Technology, Taiwan, under contract MOST104-2221-E-035-024-. We also thank project co-principal investigator Wei-Kuang Liu.

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Correspondence to Yang Ting Shen .

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Shen, Y.T., Shiu, Y.S., Lu, P. (2016). City Probe: The Crowdsourcing Platform Driven by Citizen-Based Sensing for Spatial Identification and Assessment. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2016. Lecture Notes in Computer Science(), vol 9929. Springer, Cham. https://doi.org/10.1007/978-3-319-46771-9_9

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  • DOI: https://doi.org/10.1007/978-3-319-46771-9_9

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