Kilburn High Road Revisited

Capineri, Cristina

doi:10.17645/up.v1i2.614

Cited by 11 publications

(10 citation statements)

References 28 publications

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“…It has been discussed that in both Kilburn and Bethnal Green the accumulation of diverse land uses and services within a multi-ethnic social context along with the high street space significantly manipulates spatiality of outdoor activities, and this provides empirical evidence to the High Street Effect literature. Capineri's (2016) recent empirical survey which explores dynamics of everyday urban life using volunteered geographic information (VGI) technique in the Kilburn High Road shows different aspects of multiple identities, socio-spatial diversity, and growing local-global interaction Massey (1994) observed in the Kilburn High Road in the early 1990s.…”

Section: Resultsmentioning

confidence: 99%

Mapping neighbourhood outdoor activities: space, time, gender and age

Shirazi

2018

Journal of Urban Design

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This paper investigates spatial, temporal, age, and gender pattern of outdoor social activities in urban neighbourhoods and their correlation with properties of urban form. Informed by theories and mapping techniques in urban sociology, urban design, and behavioural research, it develops a methodology for mapping outdoor social activities and applies it to four case studies in London and Berlin. Findings demonstrate how different types of activities are spatially distributed, reflecting socio-spatial characteristics of the given neighbourhood. The paper elaborates the contribution of the research to ongoing debates such as gendered space and age-friendly communities and suggests methodological improvements for future research.

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Section: Resultsmentioning

confidence: 99%

Mapping neighbourhood outdoor activities: space, time, gender and age

Shirazi

2018

Journal of Urban Design

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“…The next group of papers made general claims about applications in landscape studies, for example, with respect to aesthetics, cultural ecosystem services and more generally the perceived environment (Dunkel 2015;Gliozzo, Pettorelli, and Haklay 2016;Derungs and Purves 2016;Chen, Parkins, and Sherren 2018;Chesnokova, Nowak, and Purves 2017). Interestingly, these papers focused mostly on nonurban environments, while a further group was motivated by exploring properties of cities, with reference to both inequality and the need for more nuanced ways of analysing such data (Shelton, Poorthuis, and Zook 2015;Capineri 2016). All of these papers made claims about application domains focussing on understanding specific places and their properties.…”

Section: Rationalementioning

confidence: 99%

“…The second broad group of data used are microblogs, exclusively in the form of Twitter data (Capineri 2016;Gao et al 2017;Jenkins et al 2016;Mckenzie and Adams 2017;Resch et al 2016;Shelton, Poorthuis, and Zook 2015;Lim et al 2018). Twitter's popularity, like that of Flickr, is mostly ascribable to its ease of access through an API, though in contrast to Flickr data, historical data are difficult to obtain.…”

Section: Rationalementioning

confidence: 99%

Approaching location-based services from a place-based perspective: from data to services?

Bahrehdar

Chesnokova

Purves

2019

Journal of Location Based Services

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Despite the seemingly obvious importance of a link between notions of place and the provision of context in locationbased services (LBS), truly place-based LBS remain rare. Place is attractive as a concept for designing services as it focuses on ways in which people, rather than machines, represent and talk about places. We review papers which have extracted place-relevant information from a variety of sources, examining their rationales, the data sources used, the characteristics of the data under study and the ways in which place is represented. Although the data sources used are subject to a wide range of biases, we find that existing methods and data sources are capable of extracting a wide range of place-related information. We suggest categories of LBS which could profit from such information, for example, by using place-related natural language (e.g. vernacular placenames) in tracking and routing services and moving the focus from geometry to place semantics in location-based retrieval. A key future challenge will be to integrate data derived from multiple sources if we are to advance from individual case studies focusing on a single aspect of place to services which can deal with multiple aspects of place.

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“…In this study, we focused on the content, using the link between text and geographical space to access and harness different data sources. Our work builds on previous research revolving around the extraction of place semantics in user-generated content (Rattenbury and Naaman 2009, Hollenstein and Purves 2010, Capineri 2016. Instead of characterizing a single place through different data sources (Capineri 2016), we took a comparative approach, working out the similarities and differences in descriptions between different landscapes in different data sources.…”

Section: Relevance and Potential Applicationsmentioning

confidence: 99%

Describing and comparing landscapes using tags, texts, and free lists: an interdisciplinary approach

Wartmann

Acheson

Purves

2018

International Journal of Geographical Information Science

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How do people perceive landscapes? What elements of the landscape do they identify as characteristic of a landscape? And how can we arrive at descriptions, and ultimately representations that better reflect people's notions of landscapes? In this study, we collected landscape descriptions from five landscape types at 10 study sites in Switzerland. For each site, we collected data from three sources: free lists with participants, hiking blogs, and Flickr tags. Free lists were obtained through on-site interviews with visitors, hiking blogs were gathered by focused crawling of web content, and Flickr tags were selected based on spatial footprints obtained from the hiking blogs. We quantitatively compared landscape descriptions between data sources and landscape types using cosine similarity. We found that descriptions from the same data source were significantly more similar, irrespective of landscape type. Descriptions from the same landscape type were more similar, but only within the same data source. Through a qualitative analysis of different aspects of landscape in our content, we found that each data source offered a different distribution of landscape aspects. For example, while Flickr tags contained high proportions of toponyms, they contained little content relating to sense of place. In contrast, hiking blogs contained more information about sense of place. Our approach combining these varied textual sources thus offers a more holistic view on landscapes. This study constitutes a step toward extracting semantically rich descriptions of landscapes from a variety of sources and using this information to distinguish different landscapes, with potential applications for landscape monitoring and management.

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Kilburn High Road Revisited

Cited by 11 publications

References 28 publications

Mapping neighbourhood outdoor activities: space, time, gender and age

Mapping neighbourhood outdoor activities: space, time, gender and age

Approaching location-based services from a place-based perspective: from data to services?

Describing and comparing landscapes using tags, texts, and free lists: an interdisciplinary approach

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