Building Friendly Environmental Assessment Indicator System by Using Big Data and Grey-ANP
- DOI
- 10.2991/acsr.k.191223.006How to use a DOI?
- Keywords
- transit-oriented development, big data, fuzzy delphi method, grey-ANP
- Abstract
This study constructs an assessment index applicable to the vulnerability of the traffic environment population in Taiwan. Apply BIG DATA to analyze the case area with a radius of 500 meters, such as Zhongxiao Fuxing Station (women, children), National Taiwan University Hospital (aged), Yongan Market Station (other) as an empirical case. First, based on five assessment criteria and eighteen assessment indicators, each of which Both the criteria and the indicator weights have grey decision-making flexibility space, such as land use indicators [14.40~17.97], public facilities service indicators [20.64~23.13], pedestrian environmental indicators [29.97~35.03], and huge data indicators [5.98~7.84]. The five assessment facets, such as the traffic environment indicators [17.89~27.14], and the gray weights of the 18 assessment indicators represented in each facet can help the public transport development regions to use the evaluation criteria and indicators for flexibility. Decision-making can also be used as a reference for more efficient resource allocation with the conditions of the mass transit station and surrounding external characteristics.
- Copyright
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Chia-Nung Li AU - Yi-Kai Hsieh PY - 2019 DA - 2019/12/24 TI - Building Friendly Environmental Assessment Indicator System by Using Big Data and Grey-ANP BT - Proceedings of the 2019 International Conference on Big Data, Electronics and Communication Engineering (BDECE 2019) PB - Atlantis Press SP - 25 EP - 28 SN - 2352-538X UR - https://doi.org/10.2991/acsr.k.191223.006 DO - 10.2991/acsr.k.191223.006 ID - Li2019 ER -