Elsevier

Health & Place

Volume 16, Issue 4, July 2010, Pages 744-754
Health & Place

Why do poor people perceive poor neighbourhoods? The role of objective neighbourhood features and psychosocial factors

https://doi.org/10.1016/j.healthplace.2010.03.006Get rights and content

Abstract

Compared to people with a high socioeconomic status, those with a lower socioeconomic status are more likely to perceive their neighbourhood as unattractive and unsafe, which is associated with their lower levels of physical activity. Agreement between objective and perceived environmental factors is often found to be moderate or low, so it is questionable to what extent ‘creating supportive neighbourhoods’ would change neighbourhood perceptions. This study among residents (N=814) of fourteen neighbourhoods in the city of Eindhoven (the Netherlands), investigated to what extent socioeconomic differences in perceived neighbourhood safety and perceived neighbourhood attractiveness can be explained by five domains of objective neighbourhood features (i.e. design, traffic safety, social safety, aesthetics, and destinations), and to what extent other factors may play a role. Unfavourable neighbourhood perceptions of low socioeconomic groups partly reflected their actual less aesthetic and less safe neighbourhoods, and partly their perceptions of low social neighbourhood cohesion and adverse psychosocial circumstances.

Introduction

Increasing number of studies confirm that residents’ perceptions of their physical environment may be important for physical activity (Wendel-Vos et al., 2007). Environmental perceptions, such as perceived neighbourhood aesthetics and perceived safety, are associated with a wide range of physical activities (De Bourdeaudhuij et al., 2003, Duncan et al., 2005, McCormack et al., 2004), and contribute to the explanation of socioeconomic inequalities in physical inactivity (Ball et al., 2007, Kamphuis et al., 2008a, Kamphuis et al., 2009). These findings imply that effectively changing environmental perceptions, especially among lower socioeconomic groups, may contribute to an increase of physical activity and/or a reduction in socioeconomic inequalities in physical inactivity. However, little is known about the determinants of perceptions of the physical neighbourhood environment (hereafter: neighbourhood perceptions).

Studies that have investigated neighbourhood perceptions in association with physical activity often assume either implicitly or explicitly that these perceptions reflect actual, objective neighbourhood circumstances. This reasoning may sound obvious, and indeed, has empirical grounds: some studies have also found objective neighbourhood features to be associated with physical activity (Giles-Corti et al., 2005, Li et al., 2005, Saelens et al., 2003, Sallis et al., 1990), and to contribute to socioeconomic variations in physical activity (Kamphuis et al., 2008a; Van Lenthe et al., 2005). However, studies that have investigated the level of agreement between the objective and perceived neighbourhood, found this agreement to be moderate or low (Giles-Corti and Donovan, 2002, Hoehner et al., 2005, Kirtland et al., 2003, Kweon et al., 2006, McGinn et al., 2007, Troped et al., 2001). This suggests that factors other than the objective physical neighbourhood environment may play a role in the formation of residents’ neighbourhood perceptions. If this is the case, then “designing neighbourhoods to support physical activity” may not be enough to change residents’ perceptions, and with that, change their physical activity behaviour.

The scarce evidence for factors that determine how people perceive their physical environment mainly relates to (1) demographic factors, (2) perceptions of the social neighbourhood environment, (3) self-assessed health, and (4) depressed mood. Women, older people, and people with a lower socioeconomic position (SEP) are more likely to express feelings of unsafety, disorder, and neighbourhood problems than their male, younger and higher status counterparts (Ellaway et al., 2001; Green et al., 2002; Lindstrom et al., 2006; Lindstrom et al., 2003; Sampson and Raudenbush, 2004). Indicators of the social neighbourhood environment, such as social capital (i.e. taking part in activities of formal and informal groups in society) and social/community involvement, have shown strong inverse associations with fear of crime, sense of insecurity and perceived disorder (Green et al., 2002, Lindstrom et al., 2006, Lindstrom et al., 2003, Sampson and Raudenbush, 2004). Also, poor self-assessed health has shown associations with increased feelings of unsafety (Funk et al., 2007; Green et al., 2002; Lindstrom et al., 2006), as people with poorer health experience increased physical vulnerability, or may be more likely to be negative about life in general (Ellaway et al., 2001). For the latter reason, people with a pessimistic world view or depressed mood may also be more likely to report their neighbourhoods as being poor (Ellaway et al., 2001; Green et al., 2002). As low social capital (Lindstrom et al., 2001), poor health, and a pessimistic world view (Gallo and Matthews, 2003) have been found more prevalent in lower than higher socioeconomic groups, these factors may play a role in socioeconomically disadvantaged groups perceiving their neighbourhood as less attractive and less safe.

Thus, until now, there is little empirical evidence on correlates of neighbourhood perceptions, and even less on the contribution of objective neighbourhood and other factors to the explanation of socioeconomic differences in neighbourhood perceptions. Since perceived neighbourhood aesthetics and perceived safety have shown rather consistent associations with several physical activity outcomes (McCormack et al., 2004; Trost et al., 2002), and also contribute to socioeconomic inequalities in physical inactivity (Ball et al., 2007, Kamphuis et al., 2008b, Kamphuis et al., 2009), we selected these two neighbourhood perceptions to investigate which factors should be targeted to change perceptions.

We especially focus on explaining socioeconomic variations in neighbourhood perceptions, since it is important to find new entry points for interventions and policies to reduce socioeconomic inequalities in physical activity (and, ultimately, in health). Low SEP groups are in general less physically active than high SEP groups, and their perceptions of a less aesthetic and less safe neighbourhood may contribute to this (Ball et al., 2007, Kamphuis et al., 2008b, Kamphuis et al., 2009). On first sight, improving the aesthetics and safety of their neighbourhoods may sound as an obvious intervention to improve their physical activity levels. However, since other studies have shown that the agreement between perceived and objective neighbourhood factors is rather low (Giles-Corti and Donovan, 2002, Hoehner et al., 2005, Kirtland et al., 2003, Kweon et al., 2006, McGinn et al., 2007, Troped et al., 2001) and that low SEP groups may have a more pessimistic world view in general (which may also affect their perceptions of their neighbourhood environment) (Gallo and Matthews, 2003), it is likely that more may be needed to improve their neighbourhood perceptions than ‘just’ a more attractive neighbourhood environment. In this study, we look for those ‘other’ factors that may explain their more negative perceptions of their neighbourhood.

So, our main aim is to examine to what extent socioeconomic variations in perceived neighbourhood unattractiveness and unsafety can be explained by five domains of objective features (i.e. design, traffic safety, social safety, aesthetics, and destinations), and to what extent other factors, such as the perceived social neighbourhood environment and psychosocial characteristics, contribute to this explanation (see Fig. 1). Secondly, as the design of this study demands a multilevel analysis, we will also consider neighbourhood variance in perceptions and investigate whether these neighbourhood variations can be explained by objective neighbourhood features and other factors. Research questions that will be addressed are

  • 1.

    Are lower socioeconomic groups more likely to perceive their neighbourhood as unattractive and unsafe?

  • 2.

    Which objective neighbourhood features, perceived social neighbourhood factors and residents’ psychosocial characteristics are associated with perceptions of neighbourhood unattractiveness and unsafety?

  • 3.

    Which factors can explain socioeconomic differences and neighbourhood differences in perceived neighbourhood attractiveness and safety?

Section snippets

Study population

Data were obtained by a large-scale postal survey, a component of the new wave of data collection for the longitudinal GLOBE study, among a stratified sample of the adult population (age 25–75 years) of Eindhoven (the fifth largest city in the Netherlands; 207,000 inhabitants in 2004) and surrounding cities in October 2004 (N=6377; response rate 62%). More about the objectives, design and results of the GLOBE study can be found in detail elsewhere (Mackenbach et al., 1994; Van Lenthe et al.,

Associations of neighbourhood perceptions with SEP and demographic characteristics

In bivariate analyses (results not shown), age, employment status, and country of origin were not related to perceptions of neighbourhood unattractiveness. Being male, unmarried, having a lower household income, or having a lower education were associated with an increased likelihood of perceiving the neighbourhood as unattractive. When these four demographic characteristics were taken into account in a multilevel model, only household income and sex remained significantly associated with

Discussion

Our multilevel study among residents of fourteen neighbourhoods in the city of Eindhoven, the Netherlands, showed that low income groups were more likely to perceive their neighbourhoods as unattractive and unsafe than high income groups. Objective neighbourhood features made a substantial contribution to the explanation of the socioeconomic gradient in perceived neighbourhood unattractiveness. Social neighbourhood factors and psychosocial characteristics contributed to both the gradients in

Conclusion

It is important to understand to what extent neighbourhood perceptions, which have been found to be related to physical activity (McCormack et al., 2004; Trost et al., 2002) and socioeconomic inequalities in physical inactivity (Ball et al., 2007, Kamphuis et al., 2008b, Kamphuis et al., 2009), would improve when the actual neighbourhood environment would be improved. This study showed that unfavourable neighbourhood perceptions of low SEP-groups partly reflect their objectively less attractive

Acknowledgements

The title of this paper is inspired by the title of a paper of John Lynch and colleagues: “Why do poor people behave poorly? Variation in adult health behaviours and psychosocial characteristics by stages of the socioeconomic lifecourse” (Lynch et al., 1997). The GLOBE study is carried out by the Department of Public Health of the Erasmus University Medical Centre in Rotterdam, in collaboration with the Public Health Services of the city of Eindhoven and region South-East Brabant. The authors

References (51)

  • J.W. Lynch et al.

    Why do poor people behave poorly? Variation in adult health behaviours and psychosocial characteristics by stages of the socioeconomic lifecourse

    Soc. Sci. Med.

    (1997)
  • J.P. Mackenbach et al.

    A prospective cohort study investigating the explanation of socio-economic inequalities in health in the Netherlands

    Soc. Sci. Med.

    (1994)
  • G. McCormack

    An update of recent evidence of the relationship between objective and self-report measures of the physical environment and physical activity behaviours

    J. Sci. Med. Sport

    (2004)
  • A.P. McGinn et al.

    The relationship between leisure, walking, and transportation activity with the natural environment

    Health Place

    (2007)
  • L.H. McNeill et al.

    Social environment and physical activity: a review of concepts and evidence

    Soc. Sci. Med.

    (2006)
  • T. Pikora et al.

    Developing a framework for assessment of the environmental determinants of walking and cycling

    Soc. Sci. Med.

    (2003)
  • T.J. Pikora

    Developing a reliable audit instrument to measure the physical environment for physical activity

    Am. J. Prev. Med.

    (2002)
  • P.J. Troped

    Associations between self-reported and objective physical environmental factors and use of a community rail-trail

    Prev. Med.

    (2001)
  • F.J. Van Lenthe et al.

    Neighbourhood inequalities in physical inactivity: the role of neighbourhood attractiveness, proximity to local facilities and safety in the Netherlands

    Soc. Sci. Med.

    (2005)
  • S. Weich

    Measuring the built environment: validity of a site survey instrument for use in urban settings

    Health Place

    (2001)
  • M. Wen et al.

    Objective and perceived neighborhood environment, individual SES and psychosocial factors, and self-rated health: an analysis of older adults in Cook County, Illinois

    Soc. Sci. Med.

    (2006)
  • L. Wood

    The anatomy of the safe and social suburb: an exploratory study of the built environment, social capital and residents’ perceptions of safety

    Health Place

    (2008)
  • S.N. Zenk

    Inter-rater and test-retest reliability: methods and results for the neighborhood observational checklist

    Health Place

    (2007)
  • K. Ball

    Personal, social and environmental determinants of educational inequalities in walking: a multilevel study

    J. Epidemiol. Community Health

    (2007)
  • I. De Bourdeaudhuij et al.

    Environmental correlates of physical activity in a sample of Belgian adults

    Am. J. Health Promot.

    (2003)
  • Cited by (55)

    • Scania outdoor environment database (ScOut): A data source to study health effects of perceived neighborhood characteristics

      2023, Environmental Research
      Citation Excerpt :

      Areas with very few individuals obtained a proportion similar to the overall mean, therefore areas with only one individual (n = 1952) were accepted. To avoid bias due to perception being affected by sociodemographic factors (de Jong et al., 2011; Kamphuis et al., 2010), the models were adjusted for demographic and socioeconomic characteristics as well as seasonality. These included age, sex (male, female), country of origin (Nordic (i.e. Sweden, Norway, Finland, Denmark, Iceland), other), education (primary, secondary, college/university, other), economic difficulties during the last 12 month (yes, no) and the type of residence (own house, condominium, rental/other).

    • Perception of the built environment and walking in pericentral neighbourhoods in Santiago, Chile

      2021, Travel Behaviour and Society
      Citation Excerpt :

      Gómez et al. (2010) and Parra et al. (2010) suggest beneficial impacts of green areas on the willingness to walk of the elderly population of Bogotá and describe how exposure to motorized traffic can negatively affect the walking of older adults. Hoping to elicit the underlying causal mechanisms associating urban environments and travel behaviour, several studies have started to give attention to route choices of pedestrians (Guo and Loo, 2013; Rodriguez et al., 2015; Paydar et al., 2017), perceptions (Kamphuis et al., 2010) and mediating factors such as age, gender and personal experience as means to understand the effect of the built environment on walking (Lamíquiz and López-Domínguez, 2015a, 2015b; Adkins et al., 2017). In the same line, Næss (2015), Næss (2016) and Næss et al. (2018) suggest that the built environment should be examined in its “possibilistic” and “probabilistic” influences on human behaviours, that is, as a factor that can increase the likelihood of certain behaviours.

    • The condition-care scale: A practical approach to monitoring progress in vacant lot stewardship programs

      2020, Landscape and Urban Planning
      Citation Excerpt :

      Conceptually, Nassauer’s visual assessment-based cues to care framework (Nassauer, 1995, 2011) has been likened to the inverse of Wilson and Kelling’s (1982) broken windows theory used in neighborhood audits by Sampson and Raudenbush (2004) and others (Troy, Nunnery, & Grove, 2016) in that the former deals with expressions of beauty, stewardship, and human presence, while the latter deals with blight, disorder, and abandonment. Methodologically, some neighborhood audits have incorporated expert-rated subjective scales of environmental qualities such as aesthetics and safety common to visual assessments in order to evaluate behavioral outcomes (e.g., Ewing et al., 2006; Gidlow et al., 2018; Gullón et al., 2015; Kamphuis et al., 2010). Likewise, some urban visual assessment have adopted expert-based observation of objective physical characteristics common to neighborhood audits to make inferences about landscape perceptions (e.g., Evans-Cowley & Akar, 2014; Li et al., 2015; Tang & Long, 2019).

    View all citing articles on Scopus
    View full text