Access to adequate public transportation plays a critical role in inequity and socio-economic mobility, particularly in low-income communities. Low-income workers who rely heavily on public transportation face a spatial disparity between home and work, which leads to higher unemployment, longer job searches, and longer commute times. The overarching goal of this study is to get initial data that would result in creating a connected, coordinated, demand-responsive, and efficient public bus system that minimizes transit gaps for low-income, transit-dependent communities. To create equitable metropolitan public transportation, this paper evaluates existing CATS mobile applications that assist passengers in finding bus routes and arrival times. Our community survey methodology includes filling out questionnaires on Charlotte's current bus system on specific bus lines and determining user acceptance for a future novel smart technology. We have also collected data on the demand and transit gap for a real-world pilot study, Sprinter bus line, Bus line 7, Bus line 9, and Bus lines 97-99. These lines connect all of Charlotte City's main areas and are the most important bus lines in the system. On the studied routes, the primary survey results indicate that the current bus system has many flaws, the major one being the lack of proper timing to meet the needs of passengers. The most common problems are long commutes and long waiting times at stations. Moreover, the existing application provides inaccurate information, and on average, 80 percent of travelers and respondents are inclined to use new technology.
翻译:探索需求响应公共交通的好处和挑战 - 以北卡罗来纳州夏洛特市为例
Translated abstract:
本文致力于理解公共交通对社会经济流动性和不平等问题的影响,特别是针对低收入社区。依靠公共交通的低收入工人面临家庭和工作之间的空间差异,这导致更高的失业率、更长的求职期和更长的通勤时间。本文的主要目标是收集数据,以创建一种连接、协调、响应需求和高效率的公交系统,最大限度地减少低收入且依赖公交的社区的交通空缺问题。为了实现都市公共交通的公平性,本文评估了已有的 CATS 移动应用程序,以协助乘客查找公交路线和到站时间。我们采用社区问卷调查方法,针对 Charlotte 的特定巴士线路填写问卷,确定用户对未来新智能技术的接受程度。此外,我们还收集了现实世界 pilot 研究、Sprinter 巴士线、巴士线 7、巴士线 9 和 97-99 巴士线的需求和交通空缺数据。在研究的路线上,主要调查结果表明,当前的公交系统存在许多缺陷,最主要的是缺乏适当的时机来满足乘客的需求。最常见的问题是长途通勤和长时间等候车站。此外,现有的应用程序提供不准确的信息,平均而言,有80%的旅客和受访者倾向于使用新技术。