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Official Freedom Trail® App

Official Freedom Trail® App

The Freedom Trail Foundation

Travel$9.99v9.0.506
App Store
评分

3.2

15 条评分

星级

★★★☆☆

最近更新

2026年4月6日

发布日期

2022年7月21日

更新内容

v9.0.506

Small bug fixes and improvements

应用信息

开发者
The Freedom Trail Foundation
分类
Travel
价格
$9.99
版本
9.0.506
App ID
1581798136

简介

Experience more than 250 years of history with the official Freedom Trail® app! Boston’s revolutionary past comes to life with this innovative app, including a self-guided audio tour, interactive map, pictures, and more. The iconic 2.5-mile Freedom Trail connects 16 of America’s most significant historical landmarks, including museums, churches, meeting houses, burying grounds, parks, a ship, and historic markers that tell the story of the American Revolution and beyond. Special Features of this App: - Over 1.5 hours of audio content tells the stories of the Freedom Trail, including music and guest interviews with historians, academics, authors, and others. - The audio for each stop plays automatically thanks to GPS mapping. - An interactive map helps you find your next stop on the Freedom Trail with ease. - Photos and illustrations help direct your eyes and place you within the stories covered. This app is an official product of The Freedom Trail® Foundation. Established in 1964, the Freedom Trail Foundation is a 501(c)3 nonprofit organization that markets, promotes, and helps to preserve the Freedom Trail through visitor services and programs, educational programs, and marketing and public relations efforts. The Foundation’s Preservation Fund helps support preservation, rehabilitation, and capital projects for official Freedom Trail historic sites; these projects help avoid, minimize, or mitigate adverse effects of the elements and manmade wear and tear of Boston’s precious 17th-, 18th-, and 19th-century sites. For more information about the Freedom Trail, please visit TheFreedomTrail.org

下载量预测

专业 · 预览

预估总下载量

1K7502K
保守估计乐观估计

16

低 / 月

24

预估 / 月

46

高 / 月

基于15 条评分
假设评分率1.4%
应用年龄47 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。