Challenges and complications in neighborhood mapping: from neighborhood concept to operationalization

Deng, Yongxin

doi:10.1007/s10109-016-0232-z

Cited by 15 publications

(15 citation statements)

References 68 publications

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“…For example, green exposure measured by NDVI was not related to depressive symptoms within a 500 m buffer [46,58] or a 400 m buffer [51], but was related in a block group [54]. This is because the variances at different spatial scales may lead to different interactions between the neighborhood attributes and mental health outcomes within areas [59]. Some significant GIS-derived neighborhood attributes were related to depression; however, the majority were not.…”

Section: Effects Of Gis-derived Neighborhood Attributes On Mental Healthmentioning

confidence: 98%

Use of Geographic Information Systems to Explore Associations between Neighborhood Attributes and Mental Health Outcomes in Adults: A Systematic Review

Park

McMorris

Pruinelli

et al. 2021

IJERPH

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Background: Neighborhood attributes are increasingly recognized as factors shaping mental health in adults. Geographic information systems (GIS) offer an innovative approach for quantifying neighborhood attributes and studying their influence on mental health outcomes. Our aim was to describe GIS applications used in neighborhood-related mental health research and how neighborhood attributes are related to depressive symptoms or psychological distress in community-residing adults. Methods: We conducted a systematic review of studies published in English that included GIS techniques and a validated questionnaire of depressive symptoms or psychological distress. Medline, PsycInfo, Embase, Scopus, CINAHL, GEOBASE, and Compedex were searched to June 2020. Study quality was assessed by a modification of the Joanna Briggs Institute’s Checklist for Analytical Cross-sectional Studies. Results: Thirty-two studies met the inclusion criteria. Studies varied in definitions of neighborhood and GIS-derived measurements of neighborhood attributes. Neighborhood attributes were significantly associated with mental health outcomes, although findings were not consistent. Moderating factors (e.g., gender, living conditions) significantly influenced depressive symptoms or psychological distress. Conclusion: Neighborhood attributes are important factors influencing mental health in adults. Consensus may be needed on how to standardize the neighborhood unit or GIS-derived measures of neighborhoods in order to explain depression or psychological distress in diverse adult populations.

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Section: Effects Of Gis-derived Neighborhood Attributes On Mental Healthmentioning

confidence: 98%

Use of Geographic Information Systems to Explore Associations between Neighborhood Attributes and Mental Health Outcomes in Adults: A Systematic Review

Park

McMorris

Pruinelli

et al. 2021

IJERPH

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“…In the literature on defining and delimiting neighbourhoods, there are multiple trends and methods. Deng [37] identified six categories in which neighbourhood identification and delineation methods are grouped by: perceptual-based methods, which delineate neighbourhoods based on residents' mental maps; the physical limits, that is, geographical features, streets, etc. ; inference; pre-existing zones, such as census blocks, administrative or electoral districts, municipalities, etc.…”

Section: Delimiting Functional Areas In Social Sciencesmentioning

confidence: 99%

“…; and aggregate limits and automated zone design, which involves the automation of the neighbourhood delimitation process through criteria specified by stakeholders. In this work, we follow Deng [37] in highlighting the importance in the literature of methods based mainly on perception, in pre-existing zones and in the design of automated zones, as well as in the combination of several of them. We also consider methods that focus on different attributes of local population, households, etc., as well as those that focus on the social relationships that occur in the territory.…”

Section: Delimiting Functional Areas In Social Sciencesmentioning

confidence: 99%

Expert Consensus Versus Statistical Techniques in the Delimitation of Tourism Destinations

Rodríguez-Rodríguez

Martín

2020

Sustainability

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Delimitation of the boundaries of local tourism destinations has been proposed as a useful tool to obtain spatially-detailed statistical information to improve their decision-making and management. In the case of the Canary Islands, a leading tourism region, expert consensus supported by criteria based on supply characteristics has been used to set the boundaries of local destinations. This paper aims to analyse the characteristics of these established local destinations and test if statistical methods may provide better or different results than expert consensus from the perspective of destinations’ internal homogeneity and the differences between them. After applying descriptive and analytical statistical methods, the results confirm the evidence found in other delimitation exercises in social sciences. The consensus of experts, or subjectivity, provides consistent results that are, by and large, confirmed by statistical analysis. While statistical methods can provide new insights for delimitation, pure statistical methods can sometimes be misleading if stakeholders’ knowledge is not considered.

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“…Grannis (2009) stressed that although boundaries defined by census or other administrative agencies generate statistical units that are useful for summarizing data, they do not delineate neighborhoods in a socially meaningful way or account for the potential for residents to interact. Census boundaries seldom map onto residents' own perceptions or behaviors, which are important if the causes and consequences of segregation are to be determined (Deng 2016). For example, physical barriers such as open spaces, railways, or major roads have been found to affect segregation (Noonan 2005); yet such barriers are often disregarded in the largely administrative definition of census boundaries.…”

Section: Segregation T-communities and Everyday Mobility Practices:mentioning

confidence: 99%

Networks of (Dis)connection: Mobility Practices, Tertiary Streets, and Sectarian Divisions in North Belfast

Davies

Dixon

Tredoux

et al. 2019

Annals of the American Association of Geographers

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Long-standing tensions between Protestant and Catholic communities in Northern Ireland have led to high levels of segregation. This article explores the spaces within which residents of north Belfast move within everyday life and the extent to which these are influenced by segregation. We focus in particular on the role that interconnecting tertiary streets have on patterns of mobility. We adapt Grannis's (1998) concept to define T-communities from sets of interconnecting tertiary streets within north Belfast. These are combined with more than 6,000 Global Positioning System (GPS) tracks collected from local residents to assess the amount of time spent within different spaces. Spaces are divided into areas of residents' own community affiliations (in-group), areas not clearly associated with either community (mixed), or areas of opposing community affiliation (out-group). We further differentiate space as being either within a T-community or along a section of main road. Our work extends research on T-communities by expanding their role beyond exploring residential preference, to explore, instead, networks of (dis)connection through which social divisions are expressed via everyday mobility practices. We conclude that residents are significantly less likely to move within mixed and out-group areas and that this is especially true within T-communities. It is also evident that residents are more likely to travel along out-group sections of a main road if they are in a vehicle and that women show no greater likelihood than men to move within out-group space. Evidence from GPS tracks also provides insights into some areas where mixing appears to occur.

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Challenges and complications in neighborhood mapping: from neighborhood concept to operationalization

Cited by 15 publications

References 68 publications

Use of Geographic Information Systems to Explore Associations between Neighborhood Attributes and Mental Health Outcomes in Adults: A Systematic Review

Use of Geographic Information Systems to Explore Associations between Neighborhood Attributes and Mental Health Outcomes in Adults: A Systematic Review

Expert Consensus Versus Statistical Techniques in the Delimitation of Tourism Destinations

Networks of (Dis)connection: Mobility Practices, Tertiary Streets, and Sectarian Divisions in North Belfast

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