Social sustainability for mothers in Hong Kong’s low-income communities

Ho, Wing-Chung; Cheung, Chau‐kiu

doi:10.1016/j.habitatint.2011.03.001

Cited by 6 publications

(4 citation statements)

References 48 publications

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“…That this link has been established is an improvement on prior studies of the effect of spatial network design on community cohesion, which either find no link [ 5 , 8 ] or do find a link but this is likely related to considering walking destinations [ 6 , 7 ], which we do not take into account here. We suggest that this is because our network measure considers network geometry in greater detail than junction density alone.…”

Section: Discussionmentioning

confidence: 87%

“…From our perspective, we note that it captures nothing of the shape of links between the intersections, nor the shape of the intersections themselves (Figure 1 ). Of the studies listed above, the only ones to find a quantifiable link between walkability and social cohesion were those that included a measurement of worthwhile walking destinations [ 6 , 7 ]; hence we suggest that intersection density alone is not a significant predictor of social cohesion.…”

Section: Introductionmentioning

confidence: 96%

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Measuring the impact of spatial network layout on community social cohesion: a cross-sectional study

2014

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BackgroundThere is now a substantial body of research suggesting that social cohesion, a collective characteristic measured by the levels of trust, reciprocity and formation of strong social bonds within communities, is an important factor in determining health. Of particular interest is the extent to which factors in the built environment facilitate, or impede, the development of social bonds. Severance is a characteristic of physical environments which is hypothesized to inhibit cohesion. In the current study we test a number of characteristics of spatial networks which could be hypothesized to relate either to severance, or directly to community cohesion. Particular focus is given to our most promising variable for further analysis (Convex Hull Maximum Radius 600 m).MethodsIn the current study we analysed social cohesion as measured at Enumeration District level, aggregated from a survey of 10,892 individuals aged 18 to 74 years in the Caerphilly Health and Social Needs Cohort Study, 2001. In a data mining process we test 16 network variables on multiple scales. The variable showing the most promise is validated in a test on an independent data set. We then conduct a multivariate regression also including Townsend deprivation scores and urban/rural status as predictor variables for social cohesion.ResultsWe find convex hull maximum radius at a 600 m scale to have a small but highly significant correlation with social cohesion on both data sets. Deprivation has a stronger effect. Splitting the analysis by tertile of deprivation, we find that the effect of severance as measured by this variable is strongest in the most deprived areas. A range of spatial scales are tested, with the strongest effects being observed at scales that match typical walking distances.ConclusionWe conclude that physical connectivity as measured in this paper has a significant effect on social cohesion, and that our measure is unlikely to proxy either deprivation or the urban/rural status of communities. Possible mechanisms for the effect include intrinsic navigability of areas, and the existence of a focal route on which people can meet on foot. Further investigation may lead to much stronger predictive models of social cohesion.

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Section: Discussionmentioning

confidence: 87%

Section: Introductionmentioning

confidence: 96%

Measuring the impact of spatial network layout on community social cohesion: a cross-sectional study

2014

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“…The average education level of them is lower than that of the locals (34.3%, compared to 63.2% of Hong Kong's whole population with high-school education or above). These immigrants' lower educational level is the reason why they usually engage in lower-paid jobs (Ho & Cheung, 2011). That's an important reason for the difference of housing in which new Chinese immigrants and foreign immigrants are residing (Table 5).…”

Section: Descriptive Statistics Of Immigrantsmentioning

confidence: 99%

Mobility and work-residence matching for new immigrants in Hong Kong

Hui

Zhong

2012

Habitat International

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“…In this context, all the resources used and the output obtained as a result of scientific progress and the information society have to stay under the sign of conservation and regeneration, to ensure continuity for future generations. The trend of sustainable development of society has been emphasized in the last decade, but there has been little change in the interdependence of the socio-economic system with the ecological one [1,2]. The fact that these changes, which were expected following the implementation of specific sustainability strategies, were delayed resulted from multiple causes, including the way in which the results were measured.…”

Section: Introductionmentioning

confidence: 99%

Perspectives of Ecological Footprint in European Context under the Impact of Information Society and Sustainable Development

et al. 2018

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The perspective of ecological footprint, which is a tool for measuring and monitoring the sustainability of the new information society and the higher degree of openness in the European economy powered by the globalization process, was approached from the viewpoint of accelerated technical, scientific, and innovative progress. This research aims at identifying and forecasting patterns of environmental footprint behavior in European countries, depending on factors reflecting the innovation activity, the degree of economic freedom, and EU membership status. In the article, three factors are identified that explain to a large extent the variation of the ecological footprint values: employment in foreign controlled enterprises, eco-innovation index, and region. The statistical and econometric methods used in the analysis are aimed at applying a Proportional-Odds Cumulative Logistic regression model in order to verify the existence of the association between the statistical variables and to forecast the likelihood of changing the ecological footprint from a lower to a higher score under the impact of selected factors by quantifying their influence. The results have led to the conclusion that, by applying the model, both the share of the employed population in the foreign-controlled enterprises and the eco-innovation index will have a significant direct influence on the variability in the ecological footprint (through the odds-ratio). Referring to the EU membership, the model shows that non-EU member countries or newer EU member countries are predominantly assigned low ecological footprint scores.

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Social sustainability for mothers in Hong Kong’s low-income communities

Cited by 6 publications

References 48 publications

Measuring the impact of spatial network layout on community social cohesion: a cross-sectional study

Measuring the impact of spatial network layout on community social cohesion: a cross-sectional study

Mobility and work-residence matching for new immigrants in Hong Kong

Perspectives of Ecological Footprint in European Context under the Impact of Information Society and Sustainable Development

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