• Admin
    UC Research Repository
    View Item 
       
    • UC Home
    • Library
    • UC Research Repository
    • College of Engineering
    • Engineering: Theses and Dissertations
    • View Item
       
    • UC Home
    • Library
    • UC Research Repository
    • College of Engineering
    • Engineering: Theses and Dissertations
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of the RepositoryCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    Statistics

    View Usage Statistics

    Minimum Energy Transport Adaptability

    Thumbnail
    View/Open
    Thesis_fulltext.pdf (32.88Mb)
    Rendall_Use_of_thesis_form.pdf (108.7Kb)
    Author
    Rendall, Stacy Michael
    Date
    2012
    Permanent Link
    http://hdl.handle.net/10092/7242
    Thesis Discipline
    Mechanical Engineering
    Degree Grantor
    University of Canterbury
    Degree Level
    Doctoral
    Degree Name
    Doctor of Philosophy

    In the face of future transport energy supply constraints it is imperative that planners understand transport energy adaptability within cities. This thesis presents for the first time an analysis methodology for mapping the spatial distribution of limits to energy adaptability. Termed the Minimum Energy Transport Adaptability (META) method, it characterises urban areas, synthesising a situation in which households have enacted all viable transport energy adaptations. The output is an estimation of the minimum possible transport energy required by households in meeting their day-to-day activity requirements. The META method combines elements of energy engineering, accessibility modelling and transport activity modelling. The analysis makes use of national household travel surveys to define the frequency of activity access and ability to use modes at the national level, and study area Geographical Information Systems (GIS) data for origins, facilities and transport networks. Two case studies have been investigated in New Zealand, the cities of Christchurch and Hamilton, and have shown that most residential areas in these cities do not limit the adaptive options available to residents. However, outlying areas, satellite towns and lifestyle properties consistently require large amounts of transport energy consumption and thus limit the ability of residents to adapt to future energy constraints. The META model enables, for the first time, the effects of future transport energy constraints to be mapped, visualised, quantified, and consequently considered in the planning process.

    Subjects
    transport energy
     
    adaptability
     
    accessibility
    Collections
    • Engineering: Theses and Dissertations [2155]
    Rights
    http://library.canterbury.ac.nz/thesis/etheses_copyright.shtml

    UC Research Repository
    University Library
    University of Canterbury
    Private Bag 4800
    Christchurch 8140

    Phone
    364 2987 ext 8718

    Email
    ucresearchrepository@canterbury.ac.nz

    Follow us
    FacebookTwitterYoutube

    © University of Canterbury Library
    Send Feedback | Contact Us