Sakai - city and surroundings Low-poly 3D model

cgtrader

This is a precise and accurate 3D city model of Sakai, Japan, and its surrounding region based on GIS data from November 2019. File units: Meters Scale: 1:1 PACKAGE CONTENTS This collection features three scenes in various sizes: 60 x 60 km - Entire scene You can purchase any scene with an extra discount! 40 x 40 km - Complete city boundaries (including airport) 10 x 10 km - Downtown area (city center) FORMATS INCLUDED MAX - Autodesk 3dsMax BLEND - Blender FBX - Exchange Format OBJ - Exchange Format DAE - Exchange Format FREE CONVERSION (same day delivery) UNITYPACKAGE - Unity 3D SKP - SketchUp 3DM - Rhino 3D RVT - Autodesk Revit PRODUCT INFO USAGE This model is suitable for visualization, AR/VR, real-time, and game use, architecture, consulting, education It's perfect for town and urban planning, real estate, and property development KEY BENEFITS This 3D city model is georeferenced, precise, and accurate to real-world scale Administrative boundaries of all levels (polygons or splines with names) Buildings, landuse areas, roads, and railways are split by type (see scene structure) Surface is flat, easy to add details and edit geometry (terrain available upon request) EXTRAS Road and railway splines for traffic animation Public transport stops with names Realistic low-poly trees SCENE STRUCTURE - model organized by layers, all objects split by type and named properly BUILDINGS residential commercial industrial public sports parkings transport ROADS highways primary secondary tertiary residential service RAILWAYS train city tram subway monorail PAVEMENT sidewalk footway cycleway LANDUSE residential public industrial construction agriculture VEGETATION forest grass scrub park garden cemetery recreation NATURAL land sea lake river AIRPORT building (terminal, gates) apron taxiway runway SUPPORT - send us a message 24/7 for support FREE - Product update with the latest GIS data $199+ - Request any other city or area (same day delivery) $99+ - Add terrain based on SRTM or LIDAR elevation data (3-5 LODs optimized)