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제목 [KRIHS SPECIAL REPORT 32] A STUDY ON THE USABILITY OF BIG DATA TO ENHANCE RELIABILITY OF REGIONAL TRAVEL DEMAND FORECASTING
연구진 KRIHS GDPC 
보고서번호 Special Report32 발행일 20161201
페이지수 50 과제구분 기타
첨부파일 파일첨부0000081422.pdf
[KRIHS SPECIAL REPORT 32] A STUDY ON THE USABILITY OF BIG DATA TO ENHANCE RELIABILITY OF REGIONAL TRAVEL DEMAND FORECASTING 표지
[초록] This study aims to find ways to initiate the application of big data analytics using data collected by public agencies and private companies to travel demand forecasting. Various efforts have sought to improve the reliability and accuracy of travel demand forecasting, but it is almost impossible to quickly grasp changes in travel demand and their causes only through the existing method of conducting household travel surveys, which comes approximately every five years. So a new method is needed to more accurately forecast travel demand with more responsive data collected at shorter time intervals.

[목차] Summary
Chapter I.Research Overview
1. Research Background
2. Research Scope and Expected Policy Effects
Chapter II.Interregional Traffic Demand Forecasting: Conditions and Problems
1. Korea Transportation Database
2. Error-generating Factors in Travel Demand Estimates
Chapter III.Consideration of Applicability of Big Data to Forecasting of Interregional Travel Demand
1. Uses of Transportation-related Big Data
2. Ideas and Possibilities for Big Data Use in Travel Demand Forecasting
Chapter IV.Big-Data-based Empirical Analysis of Interregional Travel Patterns
1. Empirical Analysis I: Using TCS Data to Analyze Dynamic Travel Deman
Patterns
2. Empirical Analysis II: Analysis of Peak and Off-peak Duration
Times from Time-of-Day Expressway Traffic Data
3. Empirical Analysis III: Using Mobile Communications User Data to
Examine Weekend Conversion Coefficients
Chapter V.Conclusion and Policy Suggestions
1. Policy Applications for Big Data
2. Future Tasks