Walk Score Assessment Using Urban Modeling Interface in Mahachai City, Thailand

Abstract

The objectives of this study were to exhibit walk scores in the Mahachai sub-district, Mueng District, Samut Sakhon Province, Thailand, and build and construct acceptable models for diverse problem circumstances. The 3D physical model and walk score simulations were examined utilizing an urban modeling interface (UMI) plug-in, a part of a comprehensive modeling method in Rhinoceros computer-aided design software. The algorithm evaluates the proximity of points of interest to amenities of grocery stores, restaurants, shopping malls, coffee shops, banks, schools, bookstores, and entertainment. The simulation results show that the average walk score of the existing urban context is 87 points, according to the walkable city. However, the trial of new amenities added to the urban context by the same amenity type can change the score to 88 points, which would not significantly improve the score. The score increased to 93 points when adding the different amenities to the area. These reflect the need for urban amenities variety can improve the walkable quality in the city. The research proves the ease of using the UMI plug-in associated with the Rhinoceros software. Moreover, the results are necessary to guide urban designers to create walkable cities in the future.