8 research outputs found

    Marketing Planning of Small-Sized Farms by the Fuzzy Game Theory

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    Walking fosters self‐efficacy, empathy, and connection, and large and small democratic actions. Such capacity seems especially the case when walking is attended by certain spatial qualities that engender, for instance, physical accessibility, a capacity to socialise, a sense of safety, or a pleasing aesthetic. Sometimes, adverse spatial alternatives dominate and then – at very least – indifference seems to loom large and spatial injustices prevail. And in the worst conditions, indifference and injustice tip over into fear and danger. This paper's orientation is towards optimism, however. Our conceptual focus is on the relationship of walking to geography and philosophical pragmatism, and on small and effective antidotes to indifference and injustice. Our empirical contributions come from a qualitative research project in Wollongong, Australia, and specifically from conversations with 25 adult residents who shared with us their experiences of regular walks in the city centre. We interpret those experiences in pragmatic terms as transactions – or experiments in what to do and how – in relation to self, others, and environs. We show how participants are affected by walks and the transactional spaces created by them, and consider how they come to care for things that might not directly concern or affect them. In the process, we discern that they experience how their actions shape and can enrich life in the city – findings that have wider salience for those interested in spatial qualities, spatial justice, and democratising impulses

    A relational approach to walking: methodology, metalanguage, and power relations

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    To better understand walking practices and the power relations informing them, Mattias Kärrholm and colleagues argue for a relational methodology and metalanguage. In the process, they propose a threefold approach: (a) identify different walking assemblages; (b) investigate how diverse types of walking assemblage relate in series; and (c) study how certain objects can gather or bind series together and act as boundary objects. In this article, we explore the worth of that approach, drawing on research interviews held over 2015-16 with residents from Wollongong, Australia, during a period when their municipal government was implementing a walkable city strategy. Here, we analyse participants' conversations with us for what they reveal about walking types, walking assemblages, interseriality, objects of passage, and boundary objects - five terms used by Kärrholm et al. to interrogate urban walking. Our work suggests that participants are adept at gauging the constant transformations that characterise their walks. This narrative evaluative capacity is, perhaps paradoxically, both compelling and mundane and suggests that participants make sense of a range of meanings from complex social and spatial dynamics and do so in ways that highlight privilege and disadvantage in the city. These findings have wider relevance for those interested in walking and mobilities studies and methodologies

    Metadata record for: The Scales Project, a cross-national dataset on the interpretation of thermal perception scales

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    This dataset contains key characteristics about the data described in the Data Descriptor The Scales Project, a cross-national dataset on the interpretation of thermal perception scales. Contents: 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format Versioning Note:Version 2 was generated when the metadata format was updated from JSON to JSON-LD. This was an automatic process that changed only the format, not the contents, of the metadata

    Metadata record for: The Scales Project, a cross-national dataset on the interpretation of thermal perception scales

    No full text
    This dataset contains key characteristics about the data described in the Data Descriptor The Scales Project, a cross-national dataset on the interpretation of thermal perception scales. Contents: 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format Versioning Note:Version 2 was generated when the metadata format was updated from JSON to JSON-LD. This was an automatic process that changed only the format, not the contents, of the metadata
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