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This study explores neighborhood movement in inner-city areas through the lens of mental maps, challenging formal definitions. By examining respondents' perceptions and sketches of their neighborhoods, the research seeks to provide a nuanced understanding of mobility patterns. The implications of discrepancies between formal boundaries and mental maps are discussed, highlighting the importance of considering individual interpretations in urban research.
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Using Mental Maps to study Neighborhood Movement in the Inner-City: Formal vs. Informal Definitions Ned English Presented at Association of American Geographers Annual Meeting
Introduction • Making Connections longitudinal, in-person study • Targets ten specific Inner City Neighborhoods • Questions concerning neighborhood life • Programs to improve neighborhood life for children • Two waves thus far (2002-’04; 2005-’07) • Found considerable movement between waves • ~ 50% households left wave 1 housing unit • What are implications for survey, programs?
Introduction contd. • Would like to know: • Who moved • Where moved • Survey, “Out-movement” examined re official or “formal” boundaries • e.g, “Is this a good neighborhood for raising children” • Formal definition may not be appropriate unit of interpretation • Respondents idea of “neighborhood” may differ • Different area could have differential effect on perceptions, interpretation • How can we quantify respondents understanding of “neighborhood”? • Can we extract the neighborhood map in their mind? • A “mental map”?
Summary • What are “mental maps”; how can capture in survey context? • How can mental maps inform study of neighborhood movement? • How does movement re mental map relate to formal neighborhood? • Who moves within mental map? Who leaves? • What if interpreted mental map as neighborhood instead of formal neighborhood? • Argue shouldn’t assume common understanding of “neighborhood” definition in urban survey research • Could have unpredictable effects on data interpretation • Integrate survey methods, GIS, urban research
Methodology • Making Connections targeted 700 - 800 in-person completed interviews at wave 1 • Wave 1 location recorded and geocoded • Respondents given basic paper map template • Asked to sketch “neighborhood” boundary • Paper maps digitized for all respondents (6226 maps) • We define “mental map” as digitized version of sketched neighborhood • In wave 2, study followed movers with children (approx 25% of wave 1) • Wave 2 location recorded and geocoded • Processed wave 2 location re: • Wave 1 location • Formal neighborhood boundaries • Mental map e.g., “informal” neighborhood boundaries
Neighborhood Movement: Formal vs. Informal • Potential discrepancy between respondent’s understanding of leaving • and researcher
“Undetected” Movers vs. Agreed Neighborhood Stayers • Difference could influence survey data, interpretation
Discussion • Mental maps permit nuanced approach to analysis of urban movers • Can quantify respondent’s perception of leaving, staying • Thus not dependent solely on formal boundaries as unit • “Finer grained” method of comparison • Potentially problematic to group all movers who remained in formal neighborhood • Those who left “mental map” but not formal neighborhood differ from others • “Undetected movers” • Discrepancies will influence data collected describing “neighborhood” • “How long have you lived in the neighborhood” • Neighborhood services • Neighborhood improvement, decline
Discussion contd. • Map understanding non-trivial issue • Questionable group who were not in mental map at wave 1 • Hypothesis One: “Churners” who move annually • Hypothesis Two: Did not understand map • Low educational attainment could describe both • Limited by cell sizes thus far: • Left formal neighborhood but not mental map (2) • Moved “into” mental map from outside (5)
Conclusions • Demonstrated issues with assuming common understanding of “neighborhood” definition • Possible to collect mental maps instead • Explicitly define “custom” areas of concern for survey questions • Moving forward to wave 3, intend to focus on: • Specific training to improve item response • Consistent map design • Experiment on effect of composition, scale
Thanks… Ned English english-ned@norc.org