DETERMINING HOME-BASED WORK TRIP BASED ON TWITTER DATA USING MACHINE LEARNING
This research aims to predict the number of Home-Based Work (HBW) trips at zonal level using Twitter data and Machine Learning approaches. The conclusion of this research shows that using Twitter data alone is not effective, and the integration of Twitter data with with Home-Interview (HI) survey...
Saved in:
Main Author: | Sora Rayat, Rempu |
---|---|
Format: | Dissertations |
Language: | Indonesia |
Subjects: | |
Online Access: | https://digilib.itb.ac.id/gdl/view/87177 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
TRAVEL MODE CHOICE MODEL FOR WORKING TRIP IN THE DEVELOPMENT OF LIGHT RAIL TRANSIT (LRT) BASED ON POTENTIAL DEMAND IN MEDAN CITY
by: Fahradiza H Harahap, Lailannur -
THE INFLUENCE OF INVESTMENT IN PETROCHEMICAL INDUSTRI ON TRIP GENERATION AND ATTRACTION BASED ON THE ANALYSIS WITH MODIFIED MODEL LOWRY APPROACH
by: Budiman, Arief -
ANALYSIS OF RESPONSES AND ACTIVITIES OF TWITTER USERS ON THE ADAPTATION OF PUBLIC TRANSPORTATION USE DURING THE TRANSITION TO ENDEMIC PERIOD (CASE STUDY: MASS RAPID TRANSIT (MRT) JAKARTA)
by: Auni Khairunnisa, Yasmin -
DETERMINATION OF FEEDER TRANSPORT ROUTES BASED ON PEKANBARU COMMUNITY MOVEMENT PATTERNS INTEGRATED WITH TMP (TRANS METRO PEKANBARU)
by: Alfajri Amrifa, Jerry -
THE PATTERN OF JAPANESE INVESTMENT AT JAVA ISLAND BASED ON TRANSPORTATION INFRASTRUCTURE
by: PRAWESTI JAKSI, WENING