Matching behavioral theories and rules with research methods in spatial planning-related fields

Despite the popularity of the “behavioral approach,” there is as yet a lack of guidance on the selection and use of appropriate behavioral theories for specific planning purposes. Based on a literature review of 318 articles in spatial planning-related journals, this paper presents a portfolio of behavioral theories by types of behavior, key variables, rules, and research methods. In addition, based on the survey of twenty-two international experts, it cross-validates the findings and highlights particularly appropriate theories for certain types of behavior dealt in related disciplines. Finally, the paper derives discussion points including the applicability of various behavioral theories in urban models such as space and time-sensitive dynamic simulations

Developing shared understanding through online interdisciplinary collaboration: Reflections from a research project on better integration of health outcomes in future urban development practice

Collaborative working has gained widespread recognition in policy and practice. However, there is less research on the process of doing collaborative research in practice than there is on the epistemological, theoretical, and methodological aspects of such work. In this paper, we address this gap by offering reflections on our practical experience of online interdisciplinary collaboration as part of a wider research project on future urban development practice. We sought to develop a shared understanding of the systems of urban development decision-making. We utilise two established frameworks of interdisciplinarity to reflect on our experience and offer practical recommendations that can help facilitate such work carried out remotely by early career researchers from diverse academic backgrounds. In so doing, our paper offers fresh insights on some of the common issues in interdisciplinary collaboration and on developing shared understanding and intellectual coherence through productive online interactions. As research is evolving to tackle complex problems that require a holistic understanding, our paper contributes to developing replicable methods for remotely conducted interdisciplinary work in the early phases of large-scale collaborative projects

Developing shared understanding through online interdisciplinary collaboration: Reflections from a research project on better integration of health outcomes in future urban development practice

Collaborative working has gained widespread recognition in policy and practice. However, there is less research on the process of doing collaborative research in practice than there is on the epistemological, theoretical, and methodological aspects of such work. In this paper, we address this gap by offering reflections on our practical experience of online interdisciplinary collaboration as part of a wider research project on future urban development practice. We sought to develop a shared understanding of the systems of urban development decision-making. We utilise two established frameworks of interdisciplinarity to reflect on our experience and offer practical recommendations that can help facilitate such work carried out remotely by early career researchers from diverse academic backgrounds. In so doing, our paper offers fresh insights on some of the common issues in interdisciplinary collaboration and on developing shared understanding and intellectual coherence through productive online interactions. As research is evolving to tackle complex problems that require a holistic understanding, our paper contributes to developing replicable methods for remotely conducted interdisciplinary work in the early phases of large-scale collaborative projects

Balancing Autonomy and Collaboration in Large-Scale and Disciplinary Diverse Teams for Successful Qualitative Research

Large scale, multi-organisational collaborations between researchers from diverse disciplinary backgrounds are increasingly recognised as important to investigate and tackle complex real-world problems. However differing expectations, epistemologies, and preferences across these teams pose challenges to following best practice for ensuring high-quality and rigorous qualitative research, while maintaining goodwill and team cohesion across team members. This article presents critical reflections from the real-world experiences of a team navigating the challenges of collaborating on a large-scale, cross-disciplinary interview study. Based on these experiences, we extend the literature on large team qualitative collaboration by highlighting the importance of balancing autonomy and collaboration, and propose eight recommendations to support high quality research and team cohesion. We identify how this balance can be achieved at different times: when centralised decision-making should be prioritised, and autonomy can be allowed. We argue that prioritising time to develop shared understandings, build trust, and creating positive environments that accept and support differing researcher perspectives on qualitative methods is paramount. By exploring and reflecting on these differences, teams can identify how and when to support autonomy in decision-making, when to move forward collaboratively, and how to ensure that shared processes reflect the needs of the whole team. The reflexive findings, emanating from practical experience, can inform large research teams undertaking qualitative studies to explore complex issues. We make an original contribution to qualitative methods research by arguing that balancing autonomy and collaboration is the key to promoting high quality research and cohesion in large teams

Balancing Autonomy and Collaboration in Large-Scale and Disciplinary Diverse Teams for Successful Qualitative Research

Large scale, multi-organisational collaborations between researchers from diverse disciplinary backgrounds are increasingly recognised as important to investigate and tackle complex real-world problems. However differing expectations, epistemologies, and preferences across these teams pose challenges to following best practice for ensuring high-quality and rigorous qualitative research, while maintaining goodwill and team cohesion across team members. This article presents critical reflections from the real-world experiences of a team navigating the challenges of collaborating on a large-scale, cross-disciplinary interview study. Based on these experiences, we extend the literature on large team qualitative collaboration by highlighting the importance of balancing autonomy and collaboration, and propose eight recommendations to support high quality research and team cohesion. We identify how this balance can be achieved at different times: when centralised decision-making should be prioritised, and autonomy can be allowed. We argue that prioritising time to develop shared understandings, build trust, and creating positive environments that accept and support differing researcher perspectives on qualitative methods is paramount. By exploring and reflecting on these differences, teams can identify how and when to support autonomy in decision-making, when to move forward collaboratively, and how to ensure that shared processes reflect the needs of the whole team. The reflexive findings, emanating from practical experience, can inform large research teams undertaking qualitative studies to explore complex issues. We make an original contribution to qualitative methods research by arguing that balancing autonomy and collaboration is the key to promoting high quality research and cohesion in large teams

Korea's pursuit for sustainable cities through new town development

노트 : Knowledge Sharing Forum on Development Experiences: Comparative Experiences of Korea and Latin America and the Caribbea

A systems approach to improving health consideration in UK urban development: a real estate perspective

This research investigates how population health is considered in urban development decision-making by developing a causal loop diagram from 21 interviews with senior real estate actors. It classifies variables in the model in structural, attitudinal, and transactional dimensions, links them to relevant decision-making actors, and identifies key feedback loops. This enhances understanding of the system and informs intervention strategies for improving the consideration of health. Structural and attitudinal variables are powerful leverage points but are more challenging to influence directly and slower to change. Yet, when activated through a transactional variable, such as enhancing a data-led health metric to increase the ability of stakeholders to include health in planning, investment and development decisions, they generate virtuous feedback loops. These drive and sustain decision-making that shapes a healthier built environment

Balancing Autonomy and Collaboration in Large-Scale and Disciplinary Diverse Teams for Successful Qualitative Research

Large scale, multi-organisational collaborations between researchers from diverse disciplinary backgrounds are increasingly recognised as important to investigate and tackle complex real-world problems. However differing expectations, epistemologies, and preferences across these teams pose challenges to following best practice for ensuring high-quality and rigorous qualitative research, while maintaining goodwill and team cohesion across team members. This article presents critical reflections from the real-world experiences of a team navigating the challenges of collaborating on a large-scale, cross-disciplinary interview study. Based on these experiences, we extend the literature on large team qualitative collaboration by highlighting the importance of balancing autonomy and collaboration, and propose eight recommendations to support high quality research and team cohesion. We identify how this balance can be achieved at different times: when centralised decision-making should be prioritised, and autonomy can be allowed. We argue that prioritising time to develop shared understandings, build trust, and creating positive environments that accept and support differing researcher perspectives on qualitative methods is paramount. By exploring and reflecting on these differences, teams can identify how and when to support autonomy in decision-making, when to move forward collaboratively, and how to ensure that shared processes reflect the needs of the whole team. The reflexive findings, emanating from practical experience, can inform large research teams undertaking qualitative studies to explore complex issues. We make an original contribution to qualitative methods research by arguing that balancing autonomy and collaboration is the key to promoting high quality research and cohesion in large teams