Social Media Big Data Based Transport Infrastructure Design
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Social Media Big Data Based Transport Infrastructure Design
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Social Media Big Data Based Transport Infrastructure Design
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>SC</sub> - Článek v periodiku v databázi SCOPUS
CEP obor
—
OECD FORD obor
20104 - Transport engineering
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2018
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Journal of Engineering and Applied Sciences
ISSN
1816-949X
e-ISSN
—
Svazek periodika
13
Číslo periodika v rámci svazku
2
Stát vydavatele periodika
PK - Pákistánská islámská republika
Počet stran výsledku
4
Strana od-do
529-532
Kód UT WoS článku
—
EID výsledku v databázi Scopus
2-s2.0-85043486660