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Understanding Gravity Models

Before running a heatmap analysis, let's understand the theory behind gravity-based accessibility modeling.

What is a Gravity Model?

Gravity models in accessibility analysis are inspired by Newton's law of gravitation. The basic concept:

The attractiveness of a destination decreases with distance (or travel time)

The Formula

The accessibility score at any location is calculated as:

$$ Ai = \sum{j} \frac{Oj}{f(t{ij})} $$

Where:

  • $A_i$ = Accessibility at location $i$
  • $O_j$ = Opportunities at destination $j$ (e.g., number of jobs, shops)
  • $t_{ij}$ = Travel time from $i$ to $j$
  • $f()$ = Impedance function (how distance affects attractiveness)

Impedance Functions

GOAT supports several impedance functions:

FunctionBehaviorBest For
LinearGradual decreaseGeneral analysis
ExponentialSharp decayShort-distance trips
GaussianBell curvePeak attractiveness at certain distance
PowerCustomizable decayResearch applications

Real-World Example

Imagine you're analyzing access to supermarkets:

Location A: Has 3 supermarkets within 5 minutes walking Location B: Has 1 supermarket at 3 minutes, 2 at 15 minutes

Even though both have access to 3 supermarkets, Location A has better accessibility because all stores are close by. The gravity model captures this nuance!

Why This Matters for Planning

Gravity-based heatmaps help planners:

  • 🎯 Identify underserved areas with poor accessibility
  • 📊 Quantify accessibility inequalities across neighborhoods
  • 🏗️ Evaluate new facility locations before building
  • 🔄 Compare scenarios to find optimal solutions
Key Insight

Unlike simple "count within buffer" approaches, gravity models recognize that a nearby facility is more valuable than a distant one.

Next Step

Now that you understand the theory, let's configure your heatmap analysis!


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