Influencing transport behaviour: A Bayesian modelling approach for segmentation of social surveys

Dawkins, Laura; Williamson, Daniel; Barr, Stewart; Lampkin, Sally R.

doi:10.1016/j.jtrangeo.2018.05.005

Cited by 9 publications

(10 citation statements)

References 14 publications

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“…Estudos de cidades inteligentes enfatizam o potencial de como novas tecnologias inteligentes podem redefinir as cidades em função das necessidades dos usuários. Dawkins et al (2018) e Birkin (2019), apontam para um comportamento para fora do carro, ou seja, eles indicam a propensão das pessoas pela mobilidade ativa para beneficiar o ambiente e a saúde, e, portanto, mudanças nos rumos da infraestrutura urbana e na gestão dos sistemas de transportes.…”

Section: A Relação Do Bairro Com O Atual Perfil De Usuáriounclassified

“…A evolução do transporte virtual e das cidades inteligentes fortalecem o vínculo entre as funções "morar" e "trabalhar" em um sítio único o que gera uma tensão projetual, pois nessa temática os planejadores urbanos tendenciam por recorrer ao conceito do Novo Urbanismo da década 1980. Tem-se então uma problemática corroborada por Dawkins et. al.…”

Section: Introductionunclassified

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Caminhabilidade Em Questão: Práticas, Políticas E Cotidiano

Mendonça¹,

Fonseca²

2021

Arquitetura E Urbanismo: Patrimônio, Sustentabilidade E Tecnologia 3

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Direitos para esta edição cedidos à Atena Editora pelos autores. Open access publication by Atena Editora Todo o conteúdo deste livro está licenciado sob uma Licença de Atribuição Creative Commons. Atribuição-Não-Comercial-NãoDerivativos 4.0 Internacional (CC BY-NC-ND 4.0).O conteúdo dos artigos e seus dados em sua forma, correção e confiabilidade são de responsabilidade exclusiva dos autores, inclusive não representam necessariamente a posição oficial da Atena Editora. Permitido o download da obra e o compartilhamento desde que sejam atribuídos créditos aos autores, mas sem a possibilidade de alterá-la de nenhuma forma ou utilizá-la para fins comerciais. Todos os manuscritos foram previamente submetidos à avaliação cega pelos pares, membros do Conselho Editorial desta Editora, tendo sido aprovados para a publicação com base em critérios de neutralidade e imparcialidade acadêmica.A Atena Editora é comprometida em garantir a integridade editorial em todas as etapas do processo de publicação, evitando plágio, dados ou resultados fraudulentos e impedindo que interesses financeiros comprometam os padrões éticos da publicação. Situações suspeitas de má conduta científica serão investigadas sob o mais alto padrão de rigor acadêmico e ético.

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Section: A Relação Do Bairro Com O Atual Perfil De Usuáriounclassified

Section: Introductionunclassified

Caminhabilidade Em Questão: Práticas, Políticas E Cotidiano

Mendonça¹,

Fonseca²

2021

Arquitetura E Urbanismo: Patrimônio, Sustentabilidade E Tecnologia 3

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“…Especially, Bayesian modeling frameworks (e.g., Bayesian Network models) can account for highly heterogeneous sources of data and knowledge and significantly improve model accuracy (Ghazoul and McAllister 2003, Constantinou et al 2016). Such models have already been applied in other fields such as climate change (Reside et al 2018) and hydrology (Safavi et al 2015) or for modeling socioeconomic (Dawkins et al 2018) and cultural behavior (Shaw et al 2016). A recurrent adaptation and refinement of the models in conjunction with the development of more balanced storylines will ensure a consistent advancement of either of the two and contribute to the successful implementation of the biological invasion scenarios (see the core element of figure 1).…”

Section: Models To Project Future Biological Invasions Along the Narrmentioning

confidence: 99%

A Framework for Global Twenty-First Century Scenarios and Models of Biological Invasions

et al. 2019

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Biological invasions have emerged as an eminent feature of global change, with substantial impacts on the environment and human livelihoods. Current research demonstrates that the numbers and impacts of alien species are rising unabatedly. At the same time, we lack a thorough understanding of potential future trajectories for the decades to come. With the recent establishment of comprehensive global databases, it is, for the first time, feasible to develop and quantify future scenarios of biological invasions. Therefore, we propose a conceptual framework for how to develop alien species scenarios for the twenty-first century and how to identify relevant steps and challenges along the way. The concept will be important to inform research, policy, stakeholders, and the general public. Furthermore, we call for the scientific community to join forces and to operationalize the framework for scenarios and models of biological invasions to develop an important baseline for understanding and managing future biological invasions.

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“…To motivate the development, and to demonstrate the added value of our approach, in Dawkins et al . (), we presented the results of applying a classical heuristic, non‐model‐based segmentation procedure, similar to that of Anable (), further demonstrating how such an approach leads to complex group narratives with no formal inference about group behaviours.…”

Section: Introductionmentioning

confidence: 98%

“…For example, Anable (2005) used principal component analysis and hierarchical clustering to group transport behaviour in survey respondents, identifying six groups differing subtly in their attitudes, requiring multiple descriptive paragraphs to explain each group narrative. To motivate the development, and to demonstrate the added value of our approach, in Dawkins et al (2018), we presented the results of applying a classical heuristic, non-model-based segmentation procedure, similar to that of Anable (2005), further demonstrating how such an approach leads to complex group narratives with no formal inference about group behaviours.…”

Section: Introductionmentioning

confidence: 99%

‘What Drives Commuter Behaviour?’: A Bayesian Clustering Approach for Understanding Opposing Behaviours in Social Surveys

Dawkins

Williamson

Barr

et al. 2019

Journal of the Royal Statistical Society Series A: Statistics in Society

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Summary The city of Exeter, UK, is experiencing unprecedented growth, putting pressure on traffic infrastructure. As well as traffic network management, understanding and influencing commuter behaviour is important for reducing congestion. Information about current commuter behaviour has been gathered through a large on‐line survey, and similar individuals have been grouped to explore distinct behaviour profiles to inform intervention design to reduce commuter congestion. Statistical analysis within societal applications benefit from incorporating available social scientist expert knowledge. Current clustering approaches for the analysis of social surveys assume that the number of groups and the within‐group narratives are unknown a priori. Here, however, informed by valuable expert knowledge, we develop a novel Bayesian approach for creating a clear opposing transport mode group narrative within survey respondents, simplifying communication with project partners and the general public. Our methodology establishes groups characterizing opposing behaviours based on a key multinomial survey question by constraining parts of our prior judgement within a Bayesian finite mixture model. Drivers of group membership and within‐group behavioural differences are modelled hierarchically by using further information from the survey. In applying the methodology we demonstrate how it can be used to understand the key drivers of opposing behaviours in any wider application.

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Influencing transport behaviour: A Bayesian modelling approach for segmentation of social surveys

Cited by 9 publications

References 14 publications

Caminhabilidade Em Questão: Práticas, Políticas E Cotidiano

Caminhabilidade Em Questão: Práticas, Políticas E Cotidiano

A Framework for Global Twenty-First Century Scenarios and Models of Biological Invasions

‘What Drives Commuter Behaviour?’: A Bayesian Clustering Approach for Understanding Opposing Behaviours in Social Surveys

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