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Big Data-based Mobility Innovation

Date
2019-04-17

Big Data-based Mobility Innovation



01. The Realization of Mobility Innovation

Building a Big Data Environment Based on Mobility Data “Supporting the establishment of evidence-based policies that are data-focused, and preparing a stepping stone for new added-value”: Building and providing a mobility-based DB analysis environment that can be practically used in the field rather than developing specific solutions



1. Big Data-based, Nationwide Integrated Mobility Survey and Analysis

→ A mobility + connectivity survey incorporating people/ vehicles/ transit mobility

• Performance analysis on total travel demand for interregional people, traffic volume of passenger cars vs. public transportation, travel time, and any inconveniences experienced during transit

• Daily pattern analysis of Individual departure times, travel times, and travel routes

• Through integration of daily pattern analysis, separate accessibility-based regular traffic (commuting / school) and economically inactive-traffic(shopping / leisure / business)

2. Improving Mobility Focused Around Poor Passage Areas

→ Poor passage conditions by region/ time zone, and areas of poor connection to public transportation, etc. Promoting user-customized improvement policies for those at a disadvantage of using mobility services

• Development of mobility Big Data-based traffic policy solutions including congestion management/ safety/ public transportation/ balanced nationwide development, etc.

3. Future Mobility Innovation Designs Based on the Citizens’ Integrated Mobility Index

→ Provision for innovation plans regarding transportation methods, services, operations, and facilities.



Juyoung Kim jykim@koti.re.kr