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Analysis of urban mobility based on its big data to support transportation policies

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  • Analysis of urban mobility based on its big data to support transportation policies
  • KRIHS Global Development Partnership Center (GDPC)
  • Korea Research Institute for Human Settlements


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Title Analysis of urban mobility based on its big data to support transportation policies
Similar Titles
Material Type Reports
Author(English)

KRIHS Global Development Partnership Center (GDPC)

Publisher

Anyang, South Korea : Korea Research Institute for Human Settlements

Date 2016-12
Series Title; No KIRHS Special Report / 31
Subject Country South Korea(Asia and Pacific)
Language English
File Type Link
Subject Territorial Development < Transport/Logistics
Social Development < General
Holding Korea Research Institute for Human Settlements
License

Abstract

Traffic analyses have been performed by employing extensive data collected from Intelligent Transportation Systems (ITS). These so-called ITS big data are characterized by automated collection, standardized formats, and high precision. These data, if properly processed, have great potential to aid decision-making for transportation planning policy.

This study is intended to evaluate performance measures to monitor urban mobility. In this regard, ITS big data have advantages in comparison with the counterparts obtained from traditional traffic surveys. First of all, the former can be more flexibly processed than the latter with the use of suitable spatial or temporal units. In addition, ITS big data enable spatiotemporally continuous inspections on urban mobility. Such flexible and continuous analyses are particularly useful in designing or implementing traffic management strategies to solve traffic problems that evolve over time and space. (The rest omitted)