https://www.scipedia.com/wd/index.php?action=history&feed=atom&title=Prandi_et_al_2017aPrandi et al 2017a - Revision history2026-05-05T06:15:41ZRevision history for this page on the wikiMediaWiki 1.27.0-wmf.10https://www.scipedia.com/wd/index.php?title=Prandi_et_al_2017a&diff=209745&oldid=prevScipediacontent: Scipediacontent moved page Draft Content 296330302 to Prandi et al 2017a2021-02-08T09:00:11Z<p>Scipediacontent moved page <a href="/public/Draft_Content_296330302" class="mw-redirect" title="Draft Content 296330302">Draft Content 296330302</a> to <a href="/public/Prandi_et_al_2017a" title="Prandi et al 2017a">Prandi et al 2017a</a></p>
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</td></tr></table>Scipediacontenthttps://www.scipedia.com/wd/index.php?title=Prandi_et_al_2017a&diff=209744&oldid=prevScipediacontent: Created page with " == Abstract == In this paper we present a low-cost infrastructure to collect a variety of location-based multi-sourced data with the aim of providing personalized services a..."2021-02-08T09:00:07Z<p>Created page with " == Abstract == In this paper we present a low-cost infrastructure to collect a variety of location-based multi-sourced data with the aim of providing personalized services a..."</p>
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== Abstract ==<br />
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In this paper we present a low-cost infrastructure to collect a variety of location-based multi-sourced data with the aim of providing personalized services and raising awareness for sustainable mobility solutions. The gathered data can be used to provide: (i) citizens and tourists with personalized location-based services to increase sustainability awareness; (ii) local authorities and tourism boards with a tool to identify and prevent mobility issues; and (iii) transport companies with an instrument to support urban mobility planning decisions. To collect data, we exploited a low-cost Wi-Fi passive tracking system and we augmented this infrastructure using sensors for detecting environmental conditions. To achieve this, we provided 60 points of interest and 20 buses with our solution, to spread out the sensors over the entire Madeira Island. Using the gathered data, we developed different scenarios to prove that in a world where sensing data is becoming inexpensive, there are opportunities to use our approach to deliver data back to the citizens, empowering local communities, with the goal of promoting sustainable mobility and tourism.<br />
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== Original document ==<br />
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The different versions of the original document can be found in:<br />
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* [http://hdl.handle.net/11585/710471 http://hdl.handle.net/11585/710471]<br />
<br />
* [http://xplorestaging.ieee.org/ielx7/8373663/8379783/08379799.pdf?arnumber=8379799 http://xplorestaging.ieee.org/ielx7/8373663/8379783/08379799.pdf?arnumber=8379799],<br />
: [http://dx.doi.org/10.23919/sustainit.2017.8379799 http://dx.doi.org/10.23919/sustainit.2017.8379799]<br />
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* [https://doi.org/10.23919/SustainIT.2017.8379799 https://doi.org/10.23919/SustainIT.2017.8379799],<br />
: [https://dblp.uni-trier.de/db/conf/ifip6-3/sustainit2017.html#Prandi0RN17 https://dblp.uni-trier.de/db/conf/ifip6-3/sustainit2017.html#Prandi0RN17],<br />
: [https://academic.microsoft.com/#/detail/2807948986 https://academic.microsoft.com/#/detail/2807948986]</div>Scipediacontent