Density and Decision-Making: Findings from an Online Survey
Abstract
:1. Introduction
2. Describing Density
- Built form (e.g., dwelling density)
- Natural form (e.g., density of green space)
- Static form (e.g., road density)
- Mobile material form (e.g., traffic density)
- People- individual and social/organizational (e.g., population density, employment density)
3. Research Methods
- The Association of Town Centre Management
- The Chartered Institution of Highways and Transportation
- Environmental Sustainability Knowledge Transfer Network
- Institution of Civil Engineers (North West region)
- Landscape Institute
- Local Government Association
- Royal Institute of British Architects
- Royal Town Planning Institute
- Urban Design Group
Set | Question |
---|---|
Respondent demographics | Age; gender; ethnicity; education; profession; employer; place of profession; decision-making role within the organization |
Perceptions | Dimensions of density; top three drivers of density; estimating low, medium and high density |
Practice | Who makes density decisions; when are density decisions made; decision-making resources; importance of density in urban design and planning |
4. Findings: Respondent Demographics
5. Findings: Perceptions of Density
Demographic | Responses (percentages in brackets) |
---|---|
Age (N = 109) | Under 25 (1.8%) |
25–34 (27.5%) | |
35–44 (27.5%) | |
45–54 (24.8%) | |
55–64 (15.6%) | |
65+ (2.8%) | |
Gender (N = 104) | Male (72.1%) |
Female (27.9%) | |
Ethnicity (N = 109) | White British (79.8%) |
White Irish (2.8%) | |
White Other (13.8%) | |
Mixed (0.9%) | |
Indian (0.9%) | |
Black Caribbean (0.9%) | |
Other ethnic group (0.9%) | |
Education (N = 109) | Undergraduate degree or equivalent (5.5%) |
Professional qualification (22%) | |
Postgraduate degree or equivalent (72.5%) | |
Profession (N = 113) | Town planning (53.1%) |
Urban designers (20.4%) | |
Academia (5.3%) | |
Transport planners (5.3%) | |
Architects (2.7%) | |
Highways engineers (1.8%) | |
Civil engineering (0.9%) | |
Landscape architecture (0.9%) | |
Surveying (0.9%) | |
Other (8.8%) | |
Employer (N = 111) | Local authorities (64.9%) |
Private practice (12.6%) | |
Higher education institutions (6.3%) | |
Sole practitioner/consultant (5.4%) | |
Construction/engineering company (5.4%) | |
Central government (3.6%) | |
Other (1.8%) | |
Place of profession (N = 112) | Southeast (17.0%) |
London (14.3%) | |
International (11.6%) | |
Northwest (10.7%) | |
Southwest (8.9%) | |
West Midlands (8.0%) | |
East Midlands (6.3%) | |
East of England (5.4%) | |
Scotland (5.4%) | |
Yorkshire & the Humber (4.5%) | |
Wales (4.5%) | |
Northeast (1.8%) | |
Northern Ireland (1.8%) | |
Length of employment (N = 111) | More than 10 years (66.7%) |
Between 5–10 years (22.5%) | |
Less than 5 years (10.8%) | |
Decision-making role within their organization (N = 111) | Make strategic decisions (57.7%) |
Make operational/day-to-day decisions (42.3%) |
5.1. Different Kinds of Density
5.1.1. Built Form Density
5.1.2. Population Density
5.1.3. Mobile Material Form Density
5.1.4. Natural Form Density
5.1.5. Static Form Density
5.2. The Drivers of Density
Number | Driver |
---|---|
1 | Efficient use of land |
2 | Increased profitability/return on investment |
3 | More use of public transport |
4 | Efficient use of resources |
5 | Promoting a critical mass to support services |
6 | Policy/regulation |
7 | More people immigrating to cities |
8 | Creating area employment |
9 | Improving housing choice and affordability |
10 | Less use of private transport |
11 | Reduced energy consumption |
12 | Other |
13 | Increasing diversity in an area |
5.3. Perceptions of Low, Medium and High Dwelling Density
Dwelling density | Mean (dph) | Median (dph) | Mode (dph) | Range (dph) | Standard deviation |
---|---|---|---|---|---|
Low | 23 | 20 | 30 | 1–70 | 11.68 |
Medium | 44 | 40 | 30 | 5–200 | 23.97 |
High | 79 | 60 | 50 | 10–400 | 58.47 |
6. Findings: Density in Practice
6.1. Who Makes and Who Should Make Decisions about Density
6.2. When in the Process Do Respondents and Others Make Density Decisions
- Pre-design 1: Identify need or opportunity
- Pre-design 2: Explore and research
- Design 1: Conceptual design and development
- Design 2: Detailed design and development
- Design 3: Choosing a Design
- Post-design 1: On-site implementation and construction
- Post-design 2: Evaluation
Profession | When respondents make density decisions (N = 109) | When others make density decisions (N = 102) |
---|---|---|
Academics | Pre-design 1, Pre-design 2 | Pre-design 1, Pre-design 2 |
Architects | Pre-design 1, Pre-design 2, Pre-design 3 | Pre-design 1, Pre-design 2, Pre-design 3 |
Highways engineers | Pre-design 3, Design 1, Post-design 1 | Pre-design 1, Pre-design 3, Design 1, Post-design 1, Post-design 2 |
People with multiple professions | Pre-design 1, Pre-design 2, Pre-design 3 | Pre-design 1, Pre-design 2, Pre-design 3 |
Town Planners | Pre-design 1, Pre-design 3, Design 1 | Pre-design 1, Design 1, Design 2 |
Transport planners | Pre-design 3 | Pre-design 1, Design 1, Design 2 |
Urban designers | Pre-design 3 | Pre-design 1, Pre-design 3 |
Other professions | Design 1, Design 2 | Pre-design 1, Pre-design 2, Pre-design 3, Design 1 |
6.3. Resources Used by Respondents to Inform Density Decisions
- Best practice guidance on density.
- Clear guidance at the national, regional and local scales about the importance of getting a proper balance between density and design quality.
- Guidance about participatory processes to help show what density looks like.
- Guidance on legal policies for density and related issues.
- A “pattern book” of similar densities with different physical forms to improve innovation, variety and quality of buildings and spaces.
- Recreation space standards.
- Highways standards for existing urban design developments.
- Standards from Central government that illustrate “good” and “bad” examples of residential density and their impacts on the public realm, infrastructure, neighborhoods and cities.
- Using models to visualize different densities for urban design developments
- Considering density at the appropriate scale (e.g., there are times when the density of whole neighborhoods is more important for decision makers to think about than just individual dwellings or developments)
- Earlier consideration of density in the urban design and development process
7. Conclusions
Acknowledgments
Conflicts of Interest
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Boyko, C.T.; Cooper, R. Density and Decision-Making: Findings from an Online Survey. Sustainability 2013, 5, 4502-4522. https://doi.org/10.3390/su5104502
Boyko CT, Cooper R. Density and Decision-Making: Findings from an Online Survey. Sustainability. 2013; 5(10):4502-4522. https://doi.org/10.3390/su5104502
Chicago/Turabian StyleBoyko, Christopher T., and Rachel Cooper. 2013. "Density and Decision-Making: Findings from an Online Survey" Sustainability 5, no. 10: 4502-4522. https://doi.org/10.3390/su5104502
APA StyleBoyko, C. T., & Cooper, R. (2013). Density and Decision-Making: Findings from an Online Survey. Sustainability, 5(10), 4502-4522. https://doi.org/10.3390/su5104502