Experience mining for decision making on implementing sustainable urbanization - An innovative approach

Li yin Shen, Jose Ochoa Paniagua, Xiaoling Zhang, Peng Yi

Research output: Contribution to journalArticleResearchpeer-review

16 Citations (Scopus)

Abstract

The proliferation of good urbanization practices around the world has led to an imperative need to share these experiences. However, these good practice cases relate to different and specific contexts, making it difficult to effectively apply these experiences to other cases. It is appreciated that no existing method is available to guide us into refining these experiences so that they can be adopted in new urbanization scenarios. This method-shortage presents a major barrier to the sharing of good experiences between cities in promoting sustainable urbanization. This paper presents an Experience Mining System (ExMS) for effectively extracting previous urbanization practice experiences. ExMS is built based on the theories of experience representation, storage and mining. Its major components include a Sustainable Urbanization Practices Database (SUPD), a Refinery process, and a Mine-sweeper. ExMS can facilitate decision-makers in the selection of strategies and solutions when addressing urbanization practice challenges.

Original languageEnglish
Pages (from-to)40-49
Number of pages10
JournalAutomation in Construction
Volume29
DOIs
Publication statusPublished - Jan 2013

Fingerprint

Decision making
Refining

Cite this

Shen, Li yin ; Ochoa Paniagua, Jose ; Zhang, Xiaoling ; Yi, Peng. / Experience mining for decision making on implementing sustainable urbanization - An innovative approach. In: Automation in Construction. 2013 ; Vol. 29. pp. 40-49.
@article{ac72ca570a4c4653bf967b705b444591,
title = "Experience mining for decision making on implementing sustainable urbanization - An innovative approach",
abstract = "The proliferation of good urbanization practices around the world has led to an imperative need to share these experiences. However, these good practice cases relate to different and specific contexts, making it difficult to effectively apply these experiences to other cases. It is appreciated that no existing method is available to guide us into refining these experiences so that they can be adopted in new urbanization scenarios. This method-shortage presents a major barrier to the sharing of good experiences between cities in promoting sustainable urbanization. This paper presents an Experience Mining System (ExMS) for effectively extracting previous urbanization practice experiences. ExMS is built based on the theories of experience representation, storage and mining. Its major components include a Sustainable Urbanization Practices Database (SUPD), a Refinery process, and a Mine-sweeper. ExMS can facilitate decision-makers in the selection of strategies and solutions when addressing urbanization practice challenges.",
author = "Shen, {Li yin} and {Ochoa Paniagua}, Jose and Xiaoling Zhang and Peng Yi",
year = "2013",
month = "1",
doi = "10.1016/j.autcon.2012.07.001",
language = "English",
volume = "29",
pages = "40--49",
journal = "Automation in Construction",
issn = "0926-5805",
publisher = "Elsevier",

}

Experience mining for decision making on implementing sustainable urbanization - An innovative approach. / Shen, Li yin; Ochoa Paniagua, Jose; Zhang, Xiaoling; Yi, Peng.

In: Automation in Construction, Vol. 29, 01.2013, p. 40-49.

Research output: Contribution to journalArticleResearchpeer-review

TY - JOUR

T1 - Experience mining for decision making on implementing sustainable urbanization - An innovative approach

AU - Shen, Li yin

AU - Ochoa Paniagua, Jose

AU - Zhang, Xiaoling

AU - Yi, Peng

PY - 2013/1

Y1 - 2013/1

N2 - The proliferation of good urbanization practices around the world has led to an imperative need to share these experiences. However, these good practice cases relate to different and specific contexts, making it difficult to effectively apply these experiences to other cases. It is appreciated that no existing method is available to guide us into refining these experiences so that they can be adopted in new urbanization scenarios. This method-shortage presents a major barrier to the sharing of good experiences between cities in promoting sustainable urbanization. This paper presents an Experience Mining System (ExMS) for effectively extracting previous urbanization practice experiences. ExMS is built based on the theories of experience representation, storage and mining. Its major components include a Sustainable Urbanization Practices Database (SUPD), a Refinery process, and a Mine-sweeper. ExMS can facilitate decision-makers in the selection of strategies and solutions when addressing urbanization practice challenges.

AB - The proliferation of good urbanization practices around the world has led to an imperative need to share these experiences. However, these good practice cases relate to different and specific contexts, making it difficult to effectively apply these experiences to other cases. It is appreciated that no existing method is available to guide us into refining these experiences so that they can be adopted in new urbanization scenarios. This method-shortage presents a major barrier to the sharing of good experiences between cities in promoting sustainable urbanization. This paper presents an Experience Mining System (ExMS) for effectively extracting previous urbanization practice experiences. ExMS is built based on the theories of experience representation, storage and mining. Its major components include a Sustainable Urbanization Practices Database (SUPD), a Refinery process, and a Mine-sweeper. ExMS can facilitate decision-makers in the selection of strategies and solutions when addressing urbanization practice challenges.

UR - http://www.scopus.com/inward/record.url?scp=84866532537&partnerID=8YFLogxK

U2 - 10.1016/j.autcon.2012.07.001

DO - 10.1016/j.autcon.2012.07.001

M3 - Article

VL - 29

SP - 40

EP - 49

JO - Automation in Construction

JF - Automation in Construction

SN - 0926-5805

ER -