Social Media Big Data Based Transport Infrastructure Design

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F18%3A00304984" target="_blank" >RIV/68407700:21110/18:00304984 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.3923/jeasci.2018.529.532" target="_blank" >http://dx.doi.org/10.3923/jeasci.2018.529.532</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3923/jeasci.2018.529.532" target="_blank" >10.3923/jeasci.2018.529.532</a>

Result language

angličtina

Original language name

Social Media Big Data Based Transport Infrastructure Design

Original language description

Practical solutions to the problem of developing a transport infrastructure brings a lot of analysis before the proposal of the transport infrastructure. Initial analysis should cover it from what places and what ways is moving segmented group of people, the future user's infrastructure. Currently, the monitoring of displacement of the population using census and traffic surveys results. This study describes method how to use new data sources for transport infrastructure planning. The first one is using of geolocation data from social networks for transport infrastructure planning and compare it with the current transport infrastructure planning. The second data source is open data from municipalities. This data sources could be combined together. There are many advantages and disadvantages and this study discussed both pros and cons. Benefits include low costs of data from social network, data are continuously accessible and could be reached in real time. The disadvantages include small data population covering most users are from cities, coverage of villages is worst.

Czech name

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Czech description

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Type

J_SC - Article in a specialist periodical, which is included in the SCOPUS database

CEP classification

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OECD FORD branch

20104 - Transport engineering

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2018

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Journal of Engineering and Applied Sciences

ISSN

1816-949X

e-ISSN

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Volume of the periodical

13

Issue of the periodical within the volume

2

Country of publishing house

PK - PAKISTAN

Number of pages

4

Pages from-to

529-532

UT code for WoS article

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EID of the result in the Scopus database

2-s2.0-85043486660