Algorithmic
City
Planning Lab
Transforming urban data into actionable insights, we build simple, high-resolution indicators for planning and policy in partnership with public sector entities
מנגישים בפשטות נתונים ציבוריים למקבלי ההחלטות, בדרך המאפשרת תכנון מושכל המבוסס על תפיסות מעמיקות של דינמיקות עירוניות
مختبر لإنشاء مؤشرات كمية قائمة على بيانات للتخطيط الحضري والسياسة العامة بالشراكة مع الحكومات المحلية
About us
Jerusalem Centre for Urban Innovation
«ACP Lab bridges this gap with algorithmic tools that turn complex urban data into actionable insights for more equitable planning»
Talia Kaufmann
head of ACP lab
head of ACP lab
Part of the
Cities struggle to allocate public services equitably, often leaving certain communities underserved. Despite the availability of rich urban data, planning decisions frequently overlook mobility patterns and the ways people actually use public amenities.
We combine high-resolution public sector data, spatial analysis, and predictive modelling to map how people access and interact with amenities and services.
We combine high-resolution public sector data, spatial analysis, and predictive modelling to map how people access and interact with amenities and services.
Partnership approach
Mapping Service Accessibility
We analyze how easily residents can reach public services by examining spatial distribution, visitation patterns, and neighborhood connectivity, highlighting disparities in access across socioeconomic groups.
We analyze how easily residents can reach public services by examining spatial distribution, visitation patterns, and neighborhood connectivity, highlighting disparities in access across socioeconomic groups.
Search & Explore:
Spatial Distribution
We build interactive tools that allow decision-makers to explore the city’s network of public amenities, supporting transparent, data-informed planning.
Spatial Distribution
We build interactive tools that allow decision-makers to explore the city’s network of public amenities, supporting transparent, data-informed planning.
Policy Insights
We support strategic decision-making by layering spatial analysis to uncover actionable insights.
Our approach includes:
We support strategic decision-making by layering spatial analysis to uncover actionable insights.
Our approach includes:
- Physical Layer: Identifies geographic gaps in accessibility and helps partners target infrastructure investments
- Socioeconomic Layer: Analyzes demographic and economic data to surface inequalities and local needs
- Integrative Layer: Combines multiple data sources using overlay analysis, weighted scoring, and spatial statistics to quantify cross-layer patterns and inform targeted interventions.
Selected Projects
Our Partners
Publications
Variation in access to urban parks across six OECD countries, Kaufmann et al., (2025)
Towards Algorithmic City Planning Data-driven indicators for policies and planning, Kaufmann, T., (2022)
Scaling of urban amenities: generative statistics and implications for urban planning, Kaufmann et al., (2022)
Director
Talia Kaufmann
Variation in access to urban parks across six OECD countries, Kaufmann et al., (2025)
Towards Algorithmic City Planning Data-driven indicators for policies and planning, Kaufmann, T., (2022)
Scaling of urban amenities: generative statistics and implications for urban planning, Kaufmann et al., (2022)
Director
Talia Kaufmann
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