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Record W1504484222 · doi:10.26686/wgtn.16998793.v1

Preference Planning and Unsustainable  Desires: A Hypothesis toward 'How'  Contextual and Psychological Factors  Influence Travel Attitudes through  Qualitative and Quantitative Measures

2012· dissertation· en· W1504484222 on OpenAlexaboutno aff
Domenico Betanzo

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicPlace Attachment and Urban Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNeighbourhood (mathematics)Social psychologyPreferencePropositionPsychologyAssociation (psychology)Travel behaviorPlace attachmentEngineeringEconomicsMathematics

Abstract

fetched live from OpenAlex

<p>Counter to the prevailing view that sees travel attitudes as influencing neighbourhood location decisions, this dissertation sets out to examine if where individuals choose to live has an effect on travel attitudes. To achieve this, both a quantitative and qualitative analysis of the relationship between travel attitudes, place attachment and length of tenure is performed. An association between place attachment and travel attitudes would suggest that travel attitudes, and subsequent travel behaviours, are a result of neighbourhood location considerations rather than an influencing factor on them. This too is the case for an association between length of tenure and travel attitudes. While previous research identifies associations between contextual physical factors or psychological factors and travel behaviour, how these factors exert their influence is relatively undefined. With the proposition of an association between travel attitudes, place attachment and length of tenure, an underlying mechanism to these previous associates is tested. Because place attachment occurs over time and after a decision has been made to reside in a particular neighbourhood, and likewise because length of tenure is time dependent, a connection between either of these factors and travel attitudes supports the hypothesis that travel attitudes may just as likely be a result of residential location choices as they are an influence on them. For this reason, both of these variables are referred to as post-decision reasoning factors and are perceived as the mechanisms through which decisions are justified after they have been made. While travel behaviour literature is currently focused on the role latent travel attitudes have on residential location choices, housing choice literature consistently finds travel attitudes or neighbourhood factors a distant second to dwelling considerations. Dwelling size versus price, housing quality, yard and overall house size all have a greater influence on residential location decisions. Even when neighbourhood considerations are made in addition to dwelling characteristic factors, travel attitudes again rank lower than school quality, perceived safety and even the image of the neighbourhood. This dissertation is placed to add clarity to the discrepancy between travel behaviour and housing choice literature. An initial pilot study examined the relation between liveability and density and guided this dissertation toward travel behaviour, neighbourhood location decisions and the important role of attitudes to these two domains. Typically travel behaviour is compared between two neighbourhood typologies. These are either conventional or traditional. The former reflects status-quo land development with long winding cul-de-sacs, separated uses, a lack of centeredness and low connectivity. The latter is more akin to neighbourhoods developed before the Second World War and have higher densities, mixed uses, and are generally directed towards pedestrians rather than the automobile. Two traditional and two conventional neighbourhoods from Canada and New Zealand were used as case studies for the main research. Three-hundred households in each of the four case studies received a survey that inquired about residents' preferences toward travel modes and neighbourhood types and included psychological variables used for the prediction of travel behaviour as well as typical socio-demographic variables and the two post-decision reasoning factors of place attachment and length of tenure. This survey was analysed using multiple regression to determine the influence of post-decision reasoning variables. In addition to this quantitative survey, an on-line qualitative survey assessed residents' opinions for what motivates their travel and neighbourhood location decisions. The relative discourse patterns that developed from the qualitative survey provide a context against which the quantitative findings are interpreted. This provides validation to the quantitative findings as well as a theoretically robust method to infer causation. Findings indicated that attitudes were not correlated to post-decision reasoning variables but that they may still have formed after a neighbourhood selection decision was made and not prior. Here an unanticipated correlation between perceived behavioural control and travel attitudes was observed. Likewise, another unanticipated result suggests a greater mismatch between travel preferences and behaviours than previous studies have found. While the focus in environmental psychology is on segmenting survey populations into personality cohorts, with the aim of tailoring policy to these subgroups, the findings from the present study suggest a greater concentration should be paid to the context within which diverse populations develop. Here, both the qualitative and quantitative results indicate that rather than attitudes informing environmentally supportive behaviours, such as travel behaviour, an individual's social and physical context may afford them opportunities to hold environmentally supportive attitudes instead of the other way around. While the vast majority of research within this field appears satisfied with correlating varying attitudes to positive environmental behaviour rather than explaining why these differences exist, the present study explores a hypothesis toward this rationalization. Here, post-decision reasoning provides a reliable explanation of travel behaviour and this understanding further informs how to more effectively engage with groups and individuals toward increased sustainable behaviour.</p>

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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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.291
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.410
GPT teacher head0.465
Teacher spread0.055 · 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 designQualitative
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

Citations3
Published2012
Admission routes1
Has abstractyes

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