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On Monday, the city announced a possible remedy for the uncertain: a new, $6 million network of pedestrian maps, oriented in the direction that the viewer is facing — so that someone looking east from Lower Manhattan, for instance, might find the Brooklyn Bridge at the top of the display.
Instead, we suggest that the creation of pedestrian-friendly cartography requires pragmatic data collected by pedestrians on the field, which will enable the production of pedestrian maps, at the next stage.
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Also, it is responsible for sending to the client a review or pedestrian map.
Furthermore, the 90 paths performed during the experiment, appear sufficient to create a relatively complete pedestrian map.
Most notably, our work has emphasized the creation of a pedestrian map with pragmatic routes that have been followed by fellow city dwellers in the past.
In this section we briefly describe the way we created the pedestrian map in order to assess whether its creation is possible from user-generated data.
For this purpose, we need to create a new kind of pedestrian map, which emphasizes the suitability of a street for walking.
This App suggests that sometimes a pedestrian might opt for an isolated route, thus the sociability of a pedestrian map layer should probably be just a parameter among many others, such as accessibility, safety, nature, sightseeings, shops, etc.
We suggest that an important challenge for the future is to increase the automation in the creation of a pedestrian map, but we expect that there should also be some manual effort.
Although the gamification of the mobile application could be considered as lightweight in comparison to related work (e.g., [21]), it has been sufficient to collect enough data for preparing a pedestrian map of a small city with forty thousand inhabitants.
We have confirmed Haklay et al. [35] that even a small number of motivated users who performed a few kilometers each (2 5 km) has produced enough data to create a useful pedestrian map for a small city of forty thousand inhabitants.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com