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A Study on Application of Big Data for Transportation Policy Development and Improvement

Gyeong-Sang YooㆍChang LeeㆍGyu-geun Yoon


Big data is defined as dataset that is so voluminous that researchers can not collect, store, manage, or analyze such data with normal database software. Because of the large number of transportation system users, potential benefits of collecting and distributing real-time transportation data, and increasing demand for processing and analyzing new kinds of data from cutting-edge technologies such as autonomous vehicles, it is expected that transportation sector can achieve positive changes by applying big data analysis.

In this study, we investigated the status of big data relative to the transportation and examined their applicability to develop or improve transportation policies and services. Moreover, we suggested new policies and services that can be derived from our study and sorted them into transportation planning, safety, public transportation, and operation. To promote future research, we described the mechanism of each policy and service at the conceptual level.

Applying big data to transportation system will reduce data collection cost and time and enhance social benefits. Although there are several barriers to using big data analysis, professionals should overcome these obstacles by establishing strategic partnerships with organizations retaining data, proposing amendments to current laws to the national government and the National Assembly, systemically managing data presently owned and sharing data with research groups.




01 The Era of Big Data Is Emerging

1_Big Data Has Come to Us

2_Transportation Sector Also Cannot Avoid the Paradigm Shift

3_The Current State of Big Data Analysis and Its Adaptability to the Transportation Sector Should Be Understood


02 Implications of Big Data for the Transportation Sector

1_Foreign Implication Cases

2_Domestic Implication Cases

3_Expecting Effective Application in Transportation Sector with Large Populations


03 Big Data That Can Be Applied to the Transportation Sector

1_Investigating and Surmising Attributes of Big Data

2_Each Data Has Various Ranges of Availability


04 Several Proposals for Transportation Policies That Could Possibly Be Developed with Big Data Implication

1_Navigating Approaches to Implicating Big Data Analysis in the Practical Affairs of the Seoul Metropolitan Government

2_Convergence with Spatial Data May Be Necessary

3_Some Examples of Transportation Policies Derived from Big Data


05 Conclusion