Increasingly, anonymous data is also being used in shopping areas via
tracking individual mobile phones for shopping patterns
Dr B
On 13 April 2016 at 06:44, John Shaw <[log in to unmask]> wrote:
> The paper by Sun et al is based on transit farecard data, so all subjects
> presumably would be interacting at street level. I suppose a general
> analysis of GPS data would need to consider the three-dimensional nature of
> cities: people who live or work on different floors of the same building
> might interact only rarely; a vertical separation of 3 metres is quite
> different from the same separation horizontally.
>
> Proximity-based matching is rapidly being commercialized for transport
> apps (Uber, Lyft, etc.) and for "social discovery" (dating/hookup) apps
> (Tinder, Grindr, etc.). Perhaps that data is archived; if so it could have
> applications in public health research as well as transport planning.
>
> -----Original Message-----
> From: Universities Transport Study Group [mailto:[log in to unmask]] On
> Behalf Of Tadej Brezina
> Sent: Tuesday, April 12, 2016 1:54 AM
> To: [log in to unmask]
> Subject: Re: [UTSG] Predicting encounters with location tracking data
>
> Hi Jonathan!
>
> Your friend may consider reading this article as it calculates this "known
> strangers" phenonemenon due to recurring physical vicinity.
>
> Lijun Sun, Kay W. Axhausen, Der-Horng Lee, Xianfeng Huang (2013):
> Understanding metropolitan patterns of daily encounters; Proceedings of
> the National Academy of Sciences; DOI: 10.1073/pnas.1306440110.
>
> regards
> T+
>
> > A friend in a high-tech field asked me the following question. I don't
> > have the answer. Can any of you help with it? Thanks! --Jonathan
> >
> >
> > Given an urban area, I’d like a simple model that could predict the
> > typical number of distinct encounters per day experienced by a
> > resident. Define “encounter” as two residents coming within X meters
> > of each other. I’m looking for a rough number, parameterized by X and
> > some macro-features of the city (population, density, etc.).
> > Ideally, this model would exclude high-velocity encounters like people
> > passing each other in moving vehicles.
> >
> > Google and the mobile operators have the location-tracking data to
> > compute this. Have any studies on movement throughout an urban area
> > been published using mobile tracking data? I would imagine there have
> > been attempts by urban planners or sociologists to answer questions
> > like this before the proliferation of cell phones.
> >
> > -----
> > Jonathan Richmond
> > +1 617 395-4360
> > +44 (0)203 129-1708
> > iNum: +883 51000 9043175
> >
> > e-mail: [log in to unmask]
> > http://the-tech.mit.edu/~richmond/
>
>
> ----- Ende der Nachricht von [log in to unmask] -----
>
>
>
> --
> WED, THU & FRI at the University.
> --
> Tadej Brezina, Univ.Ass. Dipl.-Ing.
> Research Center of Transport Planning and Traffic Engineering Institute of
> Transportation Vienna University of Technology Gußhausstraße 30/230-1 |
> A-1040 Wien
> --
> Mail: [log in to unmask]
> Tel: +43-(0)1-58801-23127
> Fax: +43-(0)1-58801-23199
> Web: www.ivv.tuwien.ac.at
> www.facebook.com/IVV.TUW
> DVR: 0005886
> --
> Current publications:
> *) H. Pilko, K. Tepes, T. Brezina (2015): "Policy and programs for cycling
> in the City of Zagreb – a critical review"; in: Promet -
> Traffic&Transportation; vol. 27, nr. 5, p.
> 405-415;http://www.fpz.unizg.hr/traffic/index.php/PROMTT/article/view/1694
> .
> *) J. M. Schopf, T. Brezina (2015): Umweltfreundliches Parkraummanagement
> - Leitfaden für Länder, Städte, Gemeinden, Betriebe und Bauträger; BMLFUW,
> Wien;
> http://www.ivv.tuwien.ac.at/detail/backto/3134/news/leitfaden-stellplatzmanagement.html
> .
> *) P. C. Pfaffenbichler, T. Brezina (2015): "Estimating future bike
> parking demand under limited data availability"; in: Engineering
> Sustainability - Facilitating active travel in urban areas;
> http://www.icevirtuallibrary.com/content/article/10.1680/ensu.14.00063.
> *) T. Brezina, T. Hader, E. Eder (2015): "Pendeln in der Ostregion -
> Potenziale für die Bahn"; AK Wien, in: Verkehr und Infrastruktur;
> http://www.ivv.tuwien.ac.at/news/allgemein/ak-pendlerpublikation.html.
> *) T. Brezina, D. Moncholi Badillo, J. M. Schopf (2015): "Public transit
> supply in commuter-belt municipalities – A systemic analysis of two
> districts in the Vienna region"; in: Promet - Traffic&Transportation;
> http://www.fpz.unizg.hr/traffic/index.php/PROMTT/article/view/1618/1318.
> --
> (Webmail)
>
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