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Journal of Civil Engineering and Architecture
Article . 2019 . Peer-reviewed
Data sources: Crossref
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GIS-Based Spatial Analysis for the Integrated Transport-Land Use-Energy Planning: An Application to the Greater London

Authors: Gerardo Carpentieri; Floriana Zucaro; Carmen Guida; Luca Granata;

GIS-Based Spatial Analysis for the Integrated Transport-Land Use-Energy Planning: An Application to the Greater London

Abstract

This work focuses on examining the possible advantages for the urban sustainability, derived from the integration of transport, land use and energy systems. The main aim is to develop a GIS-based method that can help decision makers, either public or private, improving the economic, social and environmental sustainability of urban areas through an integrated transformation approach. As a result, it was possible to provide a spatial analysis technique based on seven synthetic variables and on the application of a cluster method able to identify the portions of urban areas where investments and urban integrated transformation processes can be more suitable, according to the dynamic relationships among transport, land use and energy systems. The methodology was applied to the Great London Area and lead to significant results: the cluster classes follow the transport railway network evolution within the study area boundary. The paper is organized as follow: in section 1 the integration of transport, land use and energy planning is investigated; following the introduction, in section 2, the GIS-based method is presented, followed by a description of the application to the Great London Area; in section 4, findings of the methodology are explained. In the last section, results and future developments are discussed.

Country
Italy
Related Organizations
Keywords

Energy consumption, sustainability, transport, clustering, GIS, spatial planning, sustainability, GIS, Energy consumption, transport, spatial planning, clustering

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    4
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Average
Green
gold