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What data should you use to inform urban regeneration strategies?

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Urban regeneration is the process of transforming underused, degraded, or obsolete urban areas into more productive, livable, and sustainable spaces. It can involve physical, social, economic, and environmental interventions that aim to improve the quality of life and opportunities for residents and visitors. To design and implement effective urban regeneration strategies, you need to use data that can help you understand the current and potential conditions, needs, and preferences of the urban context. In this article, we will discuss what types of data you should use and how to collect, analyze, and communicate them.

本文章的要点总结

Comprehensive data analysis:

Dive into spatial, demographic, and behavioral data to understand the community’s needs and urban area’s potential. This approach ensures your strategies are tailored to real-world conditions and can drive impactful change.
Engage with local stakeholders:

Building trust with property owners through dialogue, transparency, and showing benefits like value appreciation is key. Their involvement brings diverse insights, fostering effective urban regeneration aligned with residents' interests.

本摘要由 AI 和以下专家提供支持

Tarun Pant

Architect, Urbanist, Researcher, Carpe…
★ Emanuel von Graffenried, MRICS

Directeur & Associé BN Conseils@Groupe…

1 Spatial data

Spatial data refers to any information that has a geographic location and can be mapped. Spatial data can help you visualize and measure the physical characteristics, features, and patterns of the urban area, such as land use, infrastructure, buildings, natural resources, hazards, and accessibility. You can use spatial data to identify the strengths and weaknesses of the existing urban fabric, assess the potential for redevelopment or improvement, and evaluate the impacts of different scenarios or interventions. You can collect spatial data from various sources, such as satellite imagery, aerial photography, surveys, sensors, or crowdsourcing platforms. You can analyze spatial data using geographic information systems (GIS), spatial statistics, or spatial modeling tools. You can communicate spatial data using maps, charts, diagrams, or interactive dashboards.

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Tarun Pant

Architect, Urbanist, Researcher, Carpe diem.
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Data plays a crucial role in informing effective urban regeneration strategies. These data types can be used: 1. Demographic Data 2. Economic Data 3. Housing Data 4. Land Use Data 5. Transportation Data 6. Environmental Data 7. Crime and Safety Data 8. Social and Health Data 9. Cultural and Heritage Data 10. Retail and Commercial Data 11. Education Data 12. Climate and Weather Data 13. Real Estate Data 14. Public Engagement Data 15. Mobility Data

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Ranjan Baral

Content Creator || Copywriter || Freelance writer || Ghostwriter || Author || Trainer || Consultant || Urban Management Expert
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Demographic shifts: Ageing populations, migration patterns, evolving family structures. Economic pulse: Job markets, income disparities, access to opportunity. Infrastructural whispers: Transit networks, green spaces, energy consumption. Social echoes: Crime rates, community engagement, health indicators. Environmental footprints: Pollution levels, resource usage, climate resilience.

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2 Demographic data

Demographic data refers to any information that describes the characteristics and composition of the population in the urban area, such as age, gender, ethnicity, income, education, occupation, household size, and migration. Demographic data can help you understand the social and economic profile, diversity, and dynamics of the urban community. You can use demographic data to estimate the current and future demand for housing, services, amenities, and jobs, as well as to identify the vulnerable or marginalized groups that may need special attention or support. You can collect demographic data from official sources, such as census, registries, or administrative records, or from alternative sources, such as surveys, interviews, or social media. You can analyze demographic data using descriptive statistics, inferential statistics, or cluster analysis. You can communicate demographic data using tables, graphs, infographics, or stories.

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Ali Al Sammarraie, PMP, LEED AP ND

Mobility | City Design & Development | Strategy
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Incorporate demographic data to comprehend the population’s composition, needs, and trends. Analyzing age, income, and cultural diversity informs targeted regeneration efforts. Theories of urban sociology by Ernest Burgess are a great datum for a foundational understanding

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3 Behavioral data

Behavioral data refers to any information that captures the actions, interactions, and preferences of the people in the urban area, such as mobility, consumption, participation, satisfaction, and feedback. Behavioral data can help you understand how people use and experience the urban space, what they value and expect from it, and how they respond to changes or interventions. You can use behavioral data to design and test user-centered solutions that can enhance the functionality, attractiveness, and livability of the urban area, as well as to monitor and evaluate their performance and outcomes. You can collect behavioral data from direct observation, tracking devices, digital platforms, or user research methods. You can analyze behavioral data using qualitative analysis, quantitative analysis, or network analysis. You can communicate behavioral data using narratives, visualizations, or simulations.

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4 Contextual data

Contextual data refers to any information that provides the background, framework, and trends that influence the urban area, such as policies, regulations, plans, programs, projects, stakeholders, and best practices. Contextual data can help you understand the opportunities and constraints that shape the urban regeneration process, as well as the goals and expectations of the different actors and interests involved. You can use contextual data to align your urban regeneration strategy with the broader vision and objectives of the urban development, as well as to benchmark and learn from other cases and experiences. You can collect contextual data from official documents, reports, publications, or websites, or from stakeholder engagement methods. You can analyze contextual data using content analysis, comparative analysis, or SWOT analysis. You can communicate contextual data using summaries, matrices, or maps.

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5 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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★ Emanuel von Graffenried, MRICS

Directeur & Associé BN Conseils@Groupe Bernard Nicod & Chair ULI Romandie | Sustainable Real Estate Strategist | Improving Real Assets for positive impact and lasting returns | Guest lecturer & Keynote speaker
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- Pour inciter les propriétaires privés à s'impliquer dans la régénération urbaine, il faut leur montrer les bénéfices qu'ils peuvent en tirer, tels que la valorisation de leur patrimoine, l'amélioration de leur cadre de vie, la réduction de leurs charges, ou encore la possibilité de bénéficier d'aides financières ou fiscales. - Il faut également les informer et les accompagner tout au long du processus, en leur proposant des diagnostics, des conseils techniques, des solutions adaptées à leurs besoins, et en les associant aux décisions. - Il faut enfin créer un climat de confiance et de coopération entre les différents acteurs, en favorisant le dialogue, la concertation, la transparence, et le respect des engagements.

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What data should you use to inform urban regeneration strategies?

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1 Spatial data

2 Demographic data

3 Behavioral data

4 Contextual data

5 Here’s what else to consider

Urban Planning

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What data should you use to inform urban regeneration strategies?

1

2

3

4

5

1 Spatial data

2 Demographic data

3 Behavioral data

4 Contextual data

5 Here’s what else to consider

Urban Planning

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