Examining the relationship between urban density and sense of community in the Greater Vancouver Regional District

Douglas, Eric

doi:10.1016/j.cities.2022.103870

Cited by 6 publications

(3 citation statements)

References 101 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To examine the performance of the options for urban settings of different building densities, the number of residential buildings within the same space in the floodplain area was set to vary from least dense (i.e., a smaller number of houses) to highly dense (i.e., more houses per land area; see the application in Section 3.1). Other parameters, such as the number of people living in the area, building typology, construction types of buildings as well as road networks and public spaces as part of an urban space configuration (e.g., Douglas, 2022; Ellis, 2004) are not included to avoid complexities in the experimental design. This means that the building footprint or changes in land use (e.g., infrastructure, and actual space scaled up due to the building density assumptions) are not considered.…”

Section: Methodsmentioning

confidence: 99%

A comparison of the cost effectiveness of property‐level adaptation and community‐scale flood defences in reducing flood risk

Rehan,

Hall,

Penning‐Rowsell

et al. 2023

J Flood Risk Management

View full text Add to dashboard Cite

Adaptations to flood‐proof individual properties (referred to here as property‐level adaptation, PLA) provide a potential means of reducing flood risk at isolated properties, whilst conventional community‐scale flood protection (CSFP) is usually more economical in protecting high‐density urban spaces. This paper develops a risk‐based framework to identify the tipping point when PLA measures become more cost‐beneficial when compared to CSFP in different urban densities. The framework was demonstrated using a hypothetical case study based on a residential area in Teddington, London. Sensitivity analysis was performed by varying the building densities in the urban space. Results show that PLA can have a role to supplement CSFP even in dense urban areas if the CSFP standard of protection is low. However, adding some element of CSFP to PLA can be more cost‐effective than implementing a single higher protection standard of PLA. Given the unique flood risk condition of most urban spaces, and the sensitivity of cost‐effectiveness of flood adaptation measures such as those demonstrated in this work, this approach can provide additional information to assist decisions in finding a sensible portfolio of measures that match that risk condition.

show abstract

Section: Methodsmentioning

confidence: 99%

A comparison of the cost effectiveness of property‐level adaptation and community‐scale flood defences in reducing flood risk

Rehan,

Hall,

Penning‐Rowsell

et al. 2023

J Flood Risk Management

View full text Add to dashboard Cite

show abstract

“…Despite ongoing scholarly debate, many scholars acknowledge and support the fundamental principle that residential location influences travel behavior (Mokhtarian & Cao, 2008;Handy et al, 2005;Van Acker et al, 2007;Sarzynski et al, 2006;Cervero, 2013;Ewing et al, 2016). Numerous studies have investigated the relationship between residential density and travel behavior, lending credibility to the claims of proponents of new urbanism, who contend that walkable environments, mixed-use residential areas, and density promote the use of sustainable transportation modes, such as walking and public transit, thereby reducing reliance on cars (Andraos et al, 2021;Song, 2022;Douglas, 2022). For several decades, scholars have struggled with the issue of residential self-selection, by which households or individuals may choose their place to live centered upon their travel choices (Cao et al, 2009).…”

Section: Development Of Research Hypotheses and Research Modelmentioning

confidence: 99%

The Nexus between Residential Density, Travel Behavior and Traffic Congestion in Developing Metropolitans: A Case Study of Harare, Zimbabwe

Kanyepe

2023

JCUA

View full text Add to dashboard Cite

There is a noticeable dearth of empirical studies on the mediating role of travel behaviour on the influence of residential density on traffic congestion in developing countries, particularly in Zimbabwe. To address this gap, this study examined the effect of residential density on traffic congestion and delved into the potential mediating role of travel behaviour in this relationship. This study used data from a sample of 384 households in the Harare metropolitan province of Zimbabwe. Structural equation modelling was used to test the research hypotheses. The findings indicate that residential density and travel behaviour have a positive effect on traffic congestion. The results also established that travel behaviour partially mediates the relationship between residential density and traffic congestion. This study adds to the existing body of knowledge by providing an array of indicators that can inform policymakers in transportation and urban planning to alleviate traffic congestion.

show abstract

“…Extensive development of hard surfaces can disrupt natural ecological environments, leading to severe traffic congestion during peak hours. The lack of public activity spaces contributes to decreased community awareness [27], and high-frequency interactions among the population may result in psychological health issues such as anxiety, tension, and irritability [28].…”

Section: Introductionmentioning

confidence: 99%

The Relationship between Emotional Perception and High-Density Built Environment Based on Social Media Data: Evidence from Spatial Analyses in Wuhan

Liu,

Li,

Meng

et al. 2024

Land

View full text Add to dashboard Cite

The utilization of Social Media Data (SMD) from location-based services offers a wealth of information to analyze changes in human emotional perception influenced by high-density built environments. This study aimed to examine the impact of high-density built environment factors on human emotion perception. First, a set of indicators for high-density built environments was established. Subsequently, Natural Language Processing (NLP) was employed to analyze SMD for sentiment identification and classification. Finally, the Multi-scale Geographically Weighted Regression (MGWR) model was utilized to investigate the spatial differentiation of human emotional perception in high-density built environments. The findings revealed that positive emotions display spatial variations in high-density built environments. Additionally, positive emotions were found to be influenced by multiple variables, with different variables simultaneously affecting individuals’ positive emotions. Specific built environment indicators showed positive correlations with Open Space Ratio (OSR), Green Space Ratio (GSR), POI Functional Density (PFD), and Road Network Density (RND), while negative correlations with Floor Space Index (FSI), Ground Space Index (GSI), Building Average Layer (BAL), Water Index (WI), and Space Syntax Integration (SSI) were observed. Normalized Difference Vegetation Index (NDVI), POI Functional Mixture (PFM), Space Syntax Choice (SSC), and Population Density (PD) exhibited mixed results in different spatial contexts. This research on human perception provides insights for refined urban design and governance, addressing the limitations of top-down approaches in dense urban renewal.

show abstract

Examining the relationship between urban density and sense of community in the Greater Vancouver Regional District

Cited by 6 publications

References 101 publications

A comparison of the cost effectiveness of property‐level adaptation and community‐scale flood defences in reducing flood risk

A comparison of the cost effectiveness of property‐level adaptation and community‐scale flood defences in reducing flood risk

The Nexus between Residential Density, Travel Behavior and Traffic Congestion in Developing Metropolitans: A Case Study of Harare, Zimbabwe

The Relationship between Emotional Perception and High-Density Built Environment Based on Social Media Data: Evidence from Spatial Analyses in Wuhan

Contact Info

Product

Resources

About