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Chu‐Hua Kuei

Biographic Data

ID5810455
NAMEChu‐Hua Kuei
GIVEN NAMESChu‐Hua
FAMILY NAMEKuei
SIGNATUREKUEI C H
AFFILIATIONSPace University
VERIFIEDNo
TOTAL WORKS6
TOTAL CITATIONS1
AUTHOR COUNT6
EDITOR COUNT0
FIRST PUBLICATION YEAR1995
LATEST PUBLICATION YEAR2020
H-INDEX1
  • Using text analytics to apprehend urban sustainability development

    Open Access•Picheng Lee, Gary Kleinman et al.•ARTICLE•Sustainable Development•2020•References: 4

    This research aims to specify critical urban sustainability issues by mining unstructured text data derived from the C40 city datasets of the Carbon Disclosure Project. The current study identifies underlying topical issues exhibited by text corpora, enables creation of smarter data visualizations, and forms useful profiles. Four underlying topical areas are examined: economic opportunities, climate risks, incentives to reduce greenhouse gas emis…

  • Using the DPSIR framework and data analytics to analyze oil spillages in the Niger delta area

    Open Access•Christian N Madu, Chu-hua Kuei et al.•ARTICLE•Land Use Policy•2018•Cited by: 1•References: 25

  • Urban sustainability management

    Open Access•Christian N Madu, Chu-hua Kuei et al.•ARTICLE•Sustainable Cities and Society•2017

  • Handbook of Disaster Risk Reduction & Management

    Christian N Madu, Chu-hua Kuei et al.•BOOK•Handbk of Disaster Risk Reduct•2017

    Disasters, predicted to increase in intensity and frequency in the near future as a result of climate change, are cross‐scale in their impact, disrupting functioning across multiple levels of socio‐cultural systems in which individuals' lives are embedded. Governments all over the world need policies to plan support for community preparedness and recovery from disasters and to this end they need to understand and model disaster resilience as accu…

  • Quality Trilogy

    Christian N Madu, Christian Madu et al.•CHAPTER•Encyclopedia of Management Theory•2013

  • Environmental quality planning

    Open Access•Christian N Madu, Chu-hua Kuei et al.•ARTICLE•Futures•1995•References: 3

  • Using the DPSIR framework and data analytics to analyze oil spillages in the Niger delta area

    Open Access•Christian N Madu, Chu-hua Kuei et al.•ARTICLE•Land Use Policy•2018•Cited by: 1•References: 25

  • Environmental quality planning

    Open Access•Christian N Madu, Chu-hua Kuei et al.•ARTICLE•Futures•1995•References: 3

  • Quality Trilogy

    Christian N Madu, Christian Madu et al.•CHAPTER•Encyclopedia of Management Theory•2013

  • Urban sustainability management

    Open Access•Christian N Madu, Chu-hua Kuei et al.•ARTICLE•Sustainable Cities and Society•2017

  • Handbook of Disaster Risk Reduction & Management

    Christian N Madu, Chu-hua Kuei et al.•BOOK•Handbk of Disaster Risk Reduct•2017

    Disasters, predicted to increase in intensity and frequency in the near future as a result of climate change, are cross‐scale in their impact, disrupting functioning across multiple levels of socio‐cultural systems in which individuals' lives are embedded. Governments all over the world need policies to plan support for community preparedness and recovery from disasters and to this end they need to understand and model disaster resilience as accu…

  • Using the DPSIR framework and data analytics to analyze oil spillages in the Niger delta area

    Open Access•Christian N Madu, Chu-hua Kuei et al.•ARTICLE•Land Use Policy•2018•Cited by: 1•References: 25

  • Using text analytics to apprehend urban sustainability development

    Open Access•Picheng Lee, Gary Kleinman et al.•ARTICLE•Sustainable Development•2020•References: 4

    This research aims to specify critical urban sustainability issues by mining unstructured text data derived from the C40 city datasets of the Carbon Disclosure Project. The current study identifies underlying topical issues exhibited by text corpora, enables creation of smarter data visualizations, and forms useful profiles. Four underlying topical areas are examined: economic opportunities, climate risks, incentives to reduce greenhouse gas emis…

Business (5 works) · Computer Science (5 works) · Economics (3 works) · Engineering (3 works) · Environmental planning (3 works) · Analytics (2 works) · Data mining (2 works) · Environmental economics (2 works) · Environmental resource management (2 works) · Environmental Science (2 works)

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