The GoogleMaps API approach is not free of concerns.
Our experiments have revealed some limitations. First of
all, an ordinary user without a paid license to Google Maps
API Premier is subject to a daily query limit of 2500 geolocation
requests and is likely to experience some ‘hiccups’
in executing the tool. We welcome feedbacks from users
with a Google Maps API Premier license. Second, all data
used in the computation are maintained by Google, and
thus a user has neither control over its quality nor any
editing rights. While the Google’s road network has a reputation
of good quality, no data are completely free of errors.
Most users may not care about any modification rights of
network data, but the lack of data transparency is nevertheless
a drawback for many advanced researchers in spatial
analysis. Furthermore, the tool can only generate the contemporary
travel time by accessing the most updated road
network data in Google. In some cases, researchers need
the travel time in the past. Such a task is only feasible by
using a historical road network. Finally, the tool is currently
implemented in a desktop GIS environment. It is our plan
to develop an online version in the near future.
The GoogleMaps API approach is not free of concerns.
Our experiments have revealed some limitations. First of
all, an ordinary user without a paid license to Google Maps
API Premier is subject to a daily query limit of 2500 geolocation
requests and is likely to experience some ‘hiccups’
in executing the tool. We welcome feedbacks from users
with a Google Maps API Premier license. Second, all data
used in the computation are maintained by Google, and
thus a user has neither control over its quality nor any
editing rights. While the Google’s road network has a reputation
of good quality, no data are completely free of errors.
Most users may not care about any modification rights of
network data, but the lack of data transparency is nevertheless
a drawback for many advanced researchers in spatial
analysis. Furthermore, the tool can only generate the contemporary
travel time by accessing the most updated road
network data in Google. In some cases, researchers need
the travel time in the past. Such a task is only feasible by
using a historical road network. Finally, the tool is currently
implemented in a desktop GIS environment. It is our plan
to develop an online version in the near future.
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