ArcGIS for Desktop

  • Documentation
  • Pricing
  • Support

  • My Profile
  • Help
  • Sign Out
ArcGIS for Desktop

ArcGIS Online

The mapping platform for your organization

ArcGIS for Desktop

A complete professional GIS

ArcGIS for Server

GIS in your enterprise

ArcGIS for Developers

Tools to build location-aware apps

ArcGIS Solutions

Free template maps and apps for your industry

ArcGIS Marketplace

Get apps and data for your organization

  • Documentation
  • Pricing
  • Support
Esri
  • Sign In
user
  • My Profile
  • Sign Out

Help

  • Home
  • Get Started
  • Map
  • Analyze
  • Manage Data
  • Tools
  • More...

How Huff Model Calibration By Survey Data works

For this method of calibration, you must make an appropriate division of your study area into small subareas. The main difference from the Huff Model Calibration By Real Data method is that you are calculating the probabilities here based on survey data showing the proportions of trips made from each subarea to the shopping centers. Therefore, you don't need to have a point customer layer, because the survey is operating directly on the subareas.

The survey data must be collected in a survey table using one of the following formats:

  • Several lines per one interviewed customer

    List of customers' answers to the question, How often did you visit stores 1, 2, 3, or 4 during the last few weeks? The answer could be, Store 4—two times; store 3—four times. It should be tabulated as follows:

    Blockgroup IDStore IDCount

    1232234234

    4

    2

    1232234234

    3

    4

    1232234234

    4

    1

    1232234234

    3

    2

    Several lines per one interviewed customer The Blockgroup ID should be the ID of the block group (BG) in which the customer lives. In this example, the last two lines came from interviewing another customer living in the same BG.

  • One line per geography unit

    It is a summarized version of the first variant. It can be calculated by summarizing the overall patronage count for a particular store from a particular block group, then calculating the percentage of people from this block group who visit each store. The same percentage can represent the percentage of money spent in this store.

    Blockgroup IDStore IDPercentage

    1232234234

    4

    12

    1232234234

    3

    45

    One line per geography unit

  • One line per interviewed customer

    This variant may be more convenient for the people who do the survey.

    Blockgroup IDStore 1 CountStore 2 CountStore 3 CountStore 4 Count

    1232234234

    4

    1

    3

    0

    1232234234

    0

    0

    0

    1

    One line per interviewed customer For this variant, you will have a separate count (or dollar amount) field for every store. The table contains as many lines as the number of customers surveyed. Each customer indicates the number of times he or she visited each store. With this survey data, you can estimate the probabilities for each subarea that customers from that subarea will make trips to a specific shopping center.

Feedback on this topic?

ArcGIS for Desktop

  • Home
  • Documentation
  • Pricing
  • Support

ArcGIS Platform

  • ArcGIS Online
  • ArcGIS for Desktop
  • ArcGIS for Server
  • ArcGIS for Developers
  • ArcGIS Solutions
  • ArcGIS Marketplace

About Esri

  • About Us
  • Careers
  • Insiders Blog
  • User Conference
  • Developer Summit
Esri
© Copyright 2016 Environmental Systems Research Institute, Inc. | Privacy | Legal