  Urban parks play an essential role in meeting the ecological, social, and
recreational requirements of residents. Access to urban parks reflects people's
quality of life. The present research focused on the cumulative accessibility
by walking and driving to attractive urban parks for different population
groups in Chicago. The present study used the ratings and the number of reviews
on Google Maps to evaluate each parks' attractiveness. The results present the
cumulative accessibility scores using gravity, linear, and kernel models. In
addition, the spatial distribution of the accessibility to parks for population
groups of different races and levels of income are shown at the 90 m X 90 m
land cell scale and at the community level. Highly attractive parks that people
walk to receive a high accessibility score. However, parks with high
accessibility scores that people drive to were along the major highways. The
present study also determined that the Black and high-income populations have a
higher accessibility score to parks than other population groups. Moreover, a
planning supporting system is proposed that uses rating data that can be
gathered from apps such as Google Maps and Yelp to evaluate all types of Points
of Interest (POIs) in parks.
