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Record W7052112209

A Quarter Acre Pavlova Paradise Lost? The Role of Preferences and Planning in Achieving Urban Sustainability in Wellington, New Zealand

2017· article· en· W7052112209 on OpenAlexaboutno aff

Bibliographic record

VenueResearchArchive–Te Puna Rangahau (Victoria University of Wellington) · 2017
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsInfillUrban planningSustainabilityInvestment (military)PopulationQuarter (Canadian coin)Compact cityTransportation planningUrban sprawlLand-use planning
DOInot available

Abstract

fetched live from OpenAlex

This thesis investigates the scope for compact development to accommodate population growth in Wellington, New Zealand. The topic is particularly significant for New Zealand as the great majority of the population lives in urban areas, historical development has been dominated by low density urban form, and transport and urban form are two of the main domains in which the country can reduce its carbon emissions. The influence of urban planning and residents’ preferences on achieving sustainable outcomes is investigated.\n\nHistorical and current planning rules and transport policies in the City are analysed to determine their influence on the provision of compact development. Wellington’s transport policy shows a pattern of path dependency: historical decisions to favour car oriented investment have driven subsequent transport investments and influenced the ease of using different transport modes. Planning policies show a similar pattern of path dependency: planning rules enacted in the 1960s endure in present planning despite being packaged with different justifications and regulatory regime. Current planning rules severely restrict infill development in most existing neighbourhoods, which reduces the availability of housing in accessible medium density neighbourhoods and likely increases the cost of this type of housing.\n\nA stated choice survey was conducted of 454 residents of Wellington City to investigate the extent to which there is an unmet demand for compact development and alternatives to car travel. The survey held presentation mode constant across two completion modes (internet and door to door with tablet completion), allowing the impacts of recruitment and completion mode to be examined. Survey recruitment mode appeared to influence both response rates and the representativeness of the survey, while completion mode appeared to have little or no impact on survey responses.\n\nUsing the stated choice survey results, a latent class model was developed to examine the preferences of residents and the trade-offs they are willing to make when choosing where to live. This type of model allows for the identification of preference groups as a means of understanding the diversity of preferences across the population. The study found that there is an unmet demand for medium density, accessible housing, but that affordability is a barrier for households to choose this type of housing. There was also an unmet demand for walking and cycling, with more residents currently driving than would prefer to use this mode, and more residents preferring to walk and cycle to work than currently use these modes. The ability to use a desired travel mode appears to be related to the neighbourhood in which a person lives, with residents of medium and high density neighbourhoods being more likely to use their preferred travel mode.\n\nThis study also modelled future development trajectories for Wellington based on demand for housing, neighbourhood and transport attributes. This preference based growth model was contrasted with the City’s plan for development over the next 30 years. Comparing the two scenarios, the planning based trajectory performed better than the demand based scenario in terms of both carbon emissions and achieving compact development.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.073
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.251
Teacher spread0.240 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

Explore more

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