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Description
Description of the bug
I stepped through the demo notebook using our own transit feed and walk network. The code worked well but when inspecting result looks like places far away from transit network also got significant job counts.
My understanding is that after combining transit and walk network, pandana query will search jobs disregard network types. So transit accessibility analysis could end up including travel by walk + transit, transit only and walk only mode. But in general, transit accessibility study targets people lives within certain distance to transit service. So places beyond reasonable walking distance/time to transit should be filtered out from the analysis. And transit should be one of the major/necessary mode in the travel.
This issue is similar to issue 38 but for a different reason. Also, after filtering far away walk network nodes, the indicator locations need to be filtered as well (get_node_ids with distance limits).
Let me know if anything is wrong with my analysis or interpretation.
Environment
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Operating system:
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Python version:
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UrbanAccess version:
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