APPLICATION OF SELF-ORGANIZING MAP (SOM) ANALYSIS FOR ESTIMATING BICYCLE SHARING: A NEW PERSPECTIVE

  1. Villarrasa Sapiña, Israel 1
  2. ANTON GONZALEZ, LAURA 1
  3. PANS, MIQUEL 1
  1. 1 Universitat de València
    info

    Universitat de València

    Valencia, España

    ROR https://ror.org/043nxc105

Aldizkaria:
DYNA

ISSN: 1989-1490

Argitalpen urtea: 2023

Alea: 98

Zenbakia: 3

Orrialdeak: 294-300

Mota: Artikulua

DOI: 10.6036/10788 GOOGLE SCHOLAR lock_openSarbide irekia editor

Beste argitalpen batzuk: DYNA

Laburpena

Meteorology may be key to forecasting whether people will use it or not (depending on city studied), but so to date, the predictions made have generated some controversy because they have not been analyzed using non-linear analysis. The objective of this study is to analyse the relationship between the time spent using the València bike sharing service (BSS) as a means of active transport and the weather. A self-organising map analysis (SOM) was performed to generate profiles (clusters) of days on BSS use and meteorological factors and a non-parametric analysis was performed to compare the different profiles generated. The results showed 8 profiles of days, which obtained multiple significant differences. These results show that, although there are variables with greater weight than others for estimating the use of the BBS, their relationship is not always linear and a combination of them is needed for greater rigor in the predictions. In this study has been observed that, in order to predict a high use of the BSS, days should be warm if humidity is low to moderate, although temperature is limited if humidity is high, with virtually no precipitation and low average wind speed. On the other hand, to estimate low BBS use, days should be characterized by high relative humidity, precipitation and wind speed. On these days, if the humidity is not high and there is no precipitation, low temperatures would be taken into account. In conclusion, the use of non-linear analyses such as SOM proves to be an effective tool for estimating the use of BSS in relation to meteorology.

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This work was supported by the Generalitat Valenciana [GVPROMETEO2021-026] as part of the project "Sustainable transport in Valencia: socio-environmental, urban and health analysis of the Valenbisi service"

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