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DCTA GoZone On-Demand

DCTA GoZone On-Demand

Via Transportation, Inc.

Travel免费v4.27.1
App Store
评分

4.7

3,614 条评分

星级

★★★★★

最近更新

2026年5月3日

发布日期

2021年8月24日

更新内容

v4.27.1

Performance improvements and bug fixes

应用信息

开发者
Via Transportation, Inc.
分类
Travel
价格
免费
版本
4.27.1
App ID
1574156936

简介

The GoZone app makes it easier than ever to move around Denton County, TX! With a few taps in the app, book a ride and we’ll pair you with others headed your way. What we’re about: SHARED. Our tech matches people headed in the same direction. This means you’re getting the convenience and comfort of a private ride with the affordability and efficiency of a public one. AFFORDABLE. Rides are priced comparable to public transportation, and you can add people to your bookings for even less. GoZone offers one of the most affordable rideshare options in the nation! SUSTAINABLE. Sharing rides reduces the number of vehicles on the roads, bringing down congestion and CO2 emissions. With a couple of taps, you get to do your part to make your city a little bit greener and cleaner, every time you ride. How does GoZone work? GoZone is an on-demand travel concept that takes multiple passengers heading in the same direction and books them into a shared vehicle. Using the app, input your location and we’ll match you with a vehicle going your way. We’ll pick you up on a nearby corner and drop you off within a short walk of your chosen destination. Now for the clever bit; our algorithms provide journey times that are comparable to a taxi and much more convenient than other modes of travel, making public transportation easier than ever before! How long will I wait? - You’ll always get an accurate estimate of your pick-up ETA before booking. - You can also track your vehicle in real-time using the app. Questions? Reach out at gozone@dcta.net. Loving your experience so far? Give us 5-star rating with your feedback!

下载量预测

专业 · 预览

预估总下载量

268K181K516K
保守估计乐观估计

3K

低 / 月

5K

预估 / 月

9K

高 / 月

基于3,614 条评分
假设评分率1.4%
应用年龄58 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。