<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article">
 <front>
  <journal-meta>
   <journal-id journal-id-type="publisher-id">
    cus
   </journal-id>
   <journal-title-group>
    <journal-title>
     Current Urban Studies
    </journal-title>
   </journal-title-group>
   <issn pub-type="epub">
    2328-4900
   </issn>
   <issn publication-format="print">
    2328-4919
   </issn>
   <publisher>
    <publisher-name>
     Scientific Research Publishing
    </publisher-name>
   </publisher>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="doi">
    10.4236/cus.2025.132005
   </article-id>
   <article-id pub-id-type="publisher-id">
    cus-143423
   </article-id>
   <article-categories>
    <subj-group subj-group-type="heading">
     <subject>
      Articles
     </subject>
    </subj-group>
    <subj-group subj-group-type="Discipline-v2">
     <subject>
      Social Sciences 
     </subject>
     <subject>
       Humanities
     </subject>
    </subj-group>
   </article-categories>
   <title-group>
    Michigan’s Rural Transit Enterprises and Their Attributes
   </title-group>
   <contrib-group>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Utpal
      </surname>
      <given-names>
       Dutta
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Xiaohui
      </surname>
      <given-names>
       Zhong
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff2"> 
      <sup>2</sup>
     </xref>
    </contrib>
   </contrib-group> 
   <aff id="aff1">
    <addr-line>
     aDepartment of Civil Architectural&amp;Environmental Engineering, University of Detroit Mercy, Detroit, USA
    </addr-line> 
   </aff> 
   <aff id="aff2">
    <addr-line>
     aDepartment of Mathematics, University of Detroit Mercy, Detroit, USA
    </addr-line> 
   </aff> 
   <pub-date pub-type="epub">
    <day>
     21
    </day> 
    <month>
     05
    </month>
    <year>
     2025
    </year>
   </pub-date> 
   <volume>
    13
   </volume> 
   <issue>
    02
   </issue>
   <fpage>
    99
   </fpage>
   <lpage>
    109
   </lpage>
   <history>
    <date date-type="received">
     <day>
      11,
     </day>
     <month>
      March
     </month>
     <year>
      2025
     </year>
    </date>
    <date date-type="published">
     <day>
      17,
     </day>
     <month>
      March
     </month>
     <year>
      2025
     </year> 
    </date> 
    <date date-type="accepted">
     <day>
      17,
     </day>
     <month>
      June
     </month>
     <year>
      2025
     </year> 
    </date>
   </history>
   <permissions>
    <copyright-statement>
     © Copyright 2014 by authors and Scientific Research Publishing Inc. 
    </copyright-statement>
    <copyright-year>
     2014
    </copyright-year>
    <license>
     <license-p>
      This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/
     </license-p>
    </license>
   </permissions>
   <abstract>
    Technology is an integral part of modern transit systems, and this is especially critical in rural areas where “transportation and connectivity are vital for rural development” (
    <xref ref-type="bibr" rid="scirp.143423-5">
     Kamalesh et al., 2023
    </xref>). However, rural transit users often face significant challenges in accessing public transportation due to limited connectivity and infrastructure. Many technologies used in large transit systems, which rely heavily on digital infrastructure and robust internet connectivity, are less effective in these rural areas. In Michigan, 57 rural public transit agencies provide an estimated 5.6 million trips annually, covering 37,000 square miles. These agencies vary in size and capacity, but on average, each agency provides 93,184 annual trips with a fleet of 20 vehicles and a staff of 28, serving an area of 620 square miles. A survey conducted by HNTB in 2022 classified the technology readiness of these rural agencies into four levels, ranging from novice to expert. In the spring of 2024, another survey was conducted at the Michigan Public Transit Association (MPTA) annual conference to reassess technology readiness, identify technological barriers, and evaluate the potential benefits of introducing advanced transit technologies in these rural settings. This study examines the current state of Michigan’s rural transit systems in 2024, drawing on surveys from the Michigan Public Transit Association (MPTA) annual conference and prior research by 
    <xref ref-type="bibr" rid="scirp.143423-4">
     HNTB (2022)
    </xref>. Key focus areas include: 1) Advancements in technology readiness for the agencies compared to past experiences. 2) Rider demographics and trip purposes. 3) Funding mechanisms and expenses of the systems. 4) Voter support through millage approvals in recent elections. Based on the findings, a set of recommendations is made on leveraging strategic communication, technology adaptation, and understanding user needs. The goal is to develop a framework for rural transit systems to improve service levels in terms of user-centered design to enhance accessibility, efficiency, and satisfaction via advanced technologies and a statewide Mobility-as-a-Service (MaaS) platform.
   </abstract>
   <kwd-group> 
    <kwd>
     Rural Transit Systems
    </kwd> 
    <kwd>
      MaaS
    </kwd> 
    <kwd>
      Technology Readiness
    </kwd> 
    <kwd>
      Voter Support
    </kwd>
   </kwd-group>
  </article-meta>
 </front>
 <body>
  <sec id="s1">
   <title>1. Introduction</title>
   <p>Rural transit systems (<xref ref-type="fig" rid="fig1">
     Figure 1
    </xref>) are essential for connecting residents to critical services like healthcare, education, and employment, yet their effectiveness is often constrained by limited technological infrastructure. In Michigan, most rural transit agencies offer dial-a-ride services, which require complex coordination—scheduling trips, dispatching vehicles, processing fares, and reporting to grant providers. For medical or school trips, timeliness is critical, adding complexity compared to urban fixed-route systems (<xref ref-type="bibr" rid="scirp.143423-1">
     Berg &amp; Ihlström, 2019
    </xref>). Also, transit systems as a part of scheduling, have to plan for the rider’s return trip to home after their medical/school related appointments. Despite these challenges, technologies such as mobile apps, real-time tracking, automated fare collection, and digital schedules—common in urban settings—offer potential benefits for rural providers (<xref ref-type="bibr" rid="scirp.143423-15">
     Shaheen &amp; Cohen, 2021
    </xref>; <xref ref-type="bibr" rid="scirp.143423-13">
     Peterson et al., 2020
    </xref>). These tools can improve efficiency by optimizing scheduling, enhance user experience through on-demand options and mobile payments, and increase accessibility by bridging geographic gaps (<xref ref-type="bibr" rid="scirp.143423-5">
     Kamalesh et al., 2023
    </xref>; <xref ref-type="bibr" rid="scirp.143423-19">
     Via Transportation, 2022
    </xref>). However, rural users face barriers, including limited digital literacy and poor internet connectivity, which hinder adoption (<xref ref-type="bibr" rid="scirp.143423-20">
     Yu &amp; Liu, 2024
    </xref>).</p>
   <fig id="fig1" position="float">
    <label>Figure 1</label>
    <caption>
     <title>Figure 1. Location of Michigan’s Rural Transit Systems (<xref ref-type="bibr" rid="scirp.143423-4">
       HNTB, 2022
      </xref>).</title>
    </caption>
    <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/1150933-rId14.jpeg?20250620020834" />
   </fig>
   <p>To address these challenges, the Michigan Department of Transportation (MDOT) is developing a statewide MaaS platform. Initiated with a 2020 Request for Information that drew responses from 19 vendors, this platform aims to integrate mobility options, allowing riders to plan, book, and pay for trips seamlessly (<xref ref-type="bibr" rid="scirp.143423-4">
     HNTB, 2022
    </xref>; <xref ref-type="bibr" rid="scirp.143423-9">
     MDOT, 2024b
    </xref>). However, agency readiness varies, as earlier assessments revealed inconsistent facility condition tracking (<xref ref-type="bibr" rid="scirp.143423-4">
     HNTB, 2022
    </xref>). Building on this foundation, this paper examines Michigan’s rural transit systems in 2024, using data from <xref ref-type="bibr" rid="scirp.143423-4">
     HNTB (2022)
    </xref> and a 2024 MPTA survey. It explores technology readiness, rider profiles, funding, and voter support, proposing strategies to improve service delivery through targeted technology and MaaS integration, informed by innovations like those showcased in recent MDOT media events (<xref ref-type="bibr" rid="scirp.143423-10">
     MDOT, 2024a, 2024c
    </xref>).</p>
  </sec><sec id="s2">
   <title>2. Data and Methodology</title>
   <p>At the 2024 Michigan Public Transit Association (MPTA) annual meeting, a survey was conducted among transit agency professionals—including directors and operational managers—who attended the conference. The primary goal was to assess the current state of technology readiness, identify barriers, and capture rider needs and operational challenges within transit systems. The survey consisted of two multiple-response questions, two ranking questions, seven open-ended questions, and several demographic questions. Of the 52 respondents, 32 represented agencies serving rural areas, and this paper focuses solely on their responses. The questions were designed based on a similar survey conducted by HNTB in 2022, which explored the technological readiness of all 57 of Michigan’s rural transit systems. Using the <xref ref-type="bibr" rid="scirp.143423-4">
     HNTB (2022)
    </xref> findings as a benchmark, a chi-square test was performed to evaluate the current state in technology adoption. Additionally, qualitative open-ended responses, multiple-answer selections, and ranking data were analyzed to provide deeper insights into challenges and priorities. Supplementary data on rider demographics, trip purposes, funding, and voter support were sourced from MDOT’s 2023 Public Transportation Management System Performance Indicators Report (<xref ref-type="bibr" rid="scirp.143423-10">
     MDOT, 2023a, 2023b
    </xref>), June 2024 media reports, and the 2024 Rural Transit Fact Book (<xref ref-type="bibr" rid="scirp.143423-16">
     Small Urban and Rural Transit Center, 2024
    </xref>; <xref ref-type="bibr" rid="scirp.143423-6">
     Litman, 2017
    </xref>). Descriptive statistics from this data further illuminated the critical hurdles and goals faced by rural transit systems.</p>
  </sec><sec id="s3">
   <title>3. Findings</title>
   <sec id="s3_1">
    <title>3.1. Advancements in Technology Readiness Levels</title>
    <p>The Advancing Rural Mobility pilot project, funded by a USDOT SMART grant, has introduced online tools to enhance rural transit access since July 2024. Despite this, technology readiness levels among Michigan’s rural agencies show limited progress since 2022. The 2022 survey categorized agencies into four levels:</p>
    <p>The latest data was summarized in <xref ref-type="table" rid="table1">
      Table 1
     </xref>.</p>
    <table-wrap id="table1">
     <label>
      <xref ref-type="table" rid="table1">
       Table 1
      </xref></label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.143423-"></xref>Table 1. Technology readiness levels between 2 years.</title>
     </caption>
     <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
      <tr> 
       <td class="custom-bottom-td aleft" width="89.14%" colspan="3"><p style="text-align:left">Technology readiness levels</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td custom-top-td aleft" width="24.01%"><p style="text-align:left">Level</p></td> 
       <td class="custom-bottom-td custom-top-td aleft" width="36.95%"><p style="text-align:left">2022 (Proportion, n)</p></td> 
       <td class="custom-bottom-td custom-top-td aleft" width="28.19%"><p style="text-align:left">2024 (proportion, n)</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="24.01%"><p style="text-align:center">1—Novice</p></td> 
       <td class="custom-top-td acenter" width="36.95%"><p style="text-align:center">0.28 (16)</p></td> 
       <td class="custom-top-td acenter" width="28.19%"><p style="text-align:center">0.22 (5)</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="24.01%"><p style="text-align:center">2—Basic</p></td> 
       <td class="acenter" width="36.95%"><p style="text-align:center">0.38 (22)</p></td> 
       <td class="acenter" width="28.19%"><p style="text-align:center">0.40 (10)</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="24.01%"><p style="text-align:center">3—Intermediate</p></td> 
       <td class="acenter" width="36.95%"><p style="text-align:center">0.25 (14)</p></td> 
       <td class="acenter" width="28.19%"><p style="text-align:center">0.28 (7)</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="24.01%"><p style="text-align:center">4—Expert</p></td> 
       <td class="acenter" width="36.95%"><p style="text-align:center">0.09 (5)</p></td> 
       <td class="acenter" width="28.19%"><p style="text-align:center">0.08 (2)</p></td> 
      </tr> 
     </table>
    </table-wrap>
    <p>A chi-square test indicates no significant shift in distribution between two years (p &gt; 0.05), suggesting stagnation in the state of technology readiness.</p>
    <p>This result showed that technology readiness varies across agencies, with some still relying on traditional methods while others have adopted a wide range of technologies to improve efficiency, safety, and customer experience. Representatives from a number of rural agencies provided the answer to the question: “What are some technologies that your agency has implemented that have been successful for your agency and why? Why was this technology selected and what does it solve?”. The following is a summary of responses (number of mentions are displayed within parenthesis), which gives us some insight into the stagnation of advancement and the current state of technology readiness.</p>
    <p>Furthermore, agencies also face a lot of challenges which is reflected by the answer to an enquiry: “Did your agency implement technology that had challenges or did not go according to plan? If yes, how did your agency overcome those challenges?” For 16 out of 25 rural agencies who responded, it was reported that most technology projects haven’t gone according to plan, requiring flexibility and adjustments. Communication and managing changes have been key to dealing with these issues. In particular,</p>
    <p>In answering the question: What are your agency’s current internal technology needs (this is the need of the agencies)? “Dispatching system” ranked the first with 12 mentioned, followed by “Realtime Information” and “Infrastructure/Vehicle-Based Safety Applications” with 9 mentions each. These answers echo with the answer from last question “dispatch software did not meet the expectation.” Real time information also aligns with this aspect of the problem.</p>
    <p>While answering the question: What are the greatest technology needs of your agency’s riders (this is the rider’s need)? The ranks were (listing from most important to least): Realtime Data/Information (2.48); Digital Fare Collection/Mobile Wallet (2.55); Mobility-as-a-Service (3.72), On-vehicle rider amenities (i.e., WiFi, assistive technology) (3.85); Assistive Technology (visually, hearing and physically impaired support) (3.95); Bus stop and station amenities (4.93). It is noticed that MaaS was not seen/considered as the greatest need by the agencies. Agencies prioritized dispatching systems (12 mentions) and real-time information (9), while riders valued real-time data (rank 2.48) and mobile payments (2.55) over MaaS (3.72), suggesting limited awareness of its potential (<xref ref-type="bibr" rid="scirp.143423-15">
      Shaheen &amp; Cohen, 2021
     </xref>).</p>
    <p>In addition, during a Solution Design workshop, held in MDOT secondary complex on Feb 20, 2025, the project team had one-on-one conversation with a number of Michigan’s rural transit operators. They expressed their limitation about their technical skills as well as bargaining power (due to the size of the system) while selecting/procuring any technology. Above and beyond the upgrading of technology and protecting them from any possible cyber-attack has also been a challenge. These responses further highlighted operators’ concerns about technical skills, system scale, and cybersecurity risks (<xref ref-type="bibr" rid="scirp.143423-#HYPERLINK  l R14">
      Poltimäe et al., 2022
     </xref>).</p>
   </sec>
   <sec id="s3_2">
    <title>3.2. Composition of Riders and Trip Purposes</title>
    <p>Michigan rural transit systems serve a diverse population, with 38% of passengers classified as elderly or disabled (E&amp;D), and 28 out of 57 agencies reporting over 50% E&amp;D ridership (<xref ref-type="bibr" rid="scirp.143423-10">
      MDOT, 2023a
     </xref>). A recent University of Michigan study found that over half of Michigan’s adult rural population living below the poverty line face transportation insecurity, with 6% lacking vehicle access (<xref ref-type="bibr" rid="scirp.143423-18">
      USDOT, 2024
     </xref>). Michigan rural transit systems also serve a diverse range of trip purposes, including access to healthcare, education, employment, and essential services. These systems are crucial for residents who rely on public transportation as their primary means of mobility. The 2024 survey ranked trip purposes: medical (2.125), commuting (2.59375), errands (2.65625), leisure (3.59375), and school (4.03125). These patterns highlight transit’s role in meeting basic needs, particularly in harsh Michigan winters where real-time information is vital.</p>
   </sec>
   <sec id="s3_3">
    <title>3.3. Funding Sources and Expenses</title>
    <p>According to the MDOT revenue/expense report (<xref ref-type="bibr" rid="scirp.143423-9">
      MDOT, 2023b
     </xref>), funding primarily stems from the Comprehensive Transportation Fund (CTF), supported by the Michigan Transportation Fund and auto-related sales taxes. In case of Michigan’s rural transit the breakdown is Federal (16%), State (30%), Local (47%), and Farebox Revenue (7%) (<xref ref-type="bibr" rid="scirp.143423-9">
      MDOT, 2023b
     </xref>). Local funding predominates, indicating agencies could seek more federal support to ease this burden (<xref ref-type="bibr" rid="scirp.143423-#HYPERLINK  l R03">
      Godavarthy et al., 2014
     </xref>). Meanwhile, nearly all agencies (52/57) generated revenues exceeding eligible expenses, suggesting capacity to allocate funds for technology purchasing, training, and adoption advertising (<xref ref-type="bibr" rid="scirp.143423-4">
      HNTB, 2022
     </xref>). <xref ref-type="fig" rid="fig2">
      Figure 2
     </xref> below depicts the distribution of revenue and eligible expenses per vehicle and per passenger across agencies.</p>
    <fig-group id="fig2" position="float">
     <fig id="fig2" position="float">
      <label>Figure 2</label>
      <caption>
       <title>Figure 2. Distribution of revenue and eligible expenses per vehicle and per passenger across agencies (MDOT, 2023b).</title>
      </caption>
      <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/1150933-rId15.jpeg?20250620020836" />
     </fig>
     <fig id="fig2" position="float">
      <label>Figure 2</label>
      <caption>
       <title>Figure 2. Distribution of revenue and eligible expenses per vehicle and per passenger across agencies (MDOT, 2023b).</title>
      </caption>
      <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/1150933-rId16.jpeg?20250620020836" />
     </fig>
     <fig id="fig2" position="float">
      <label>Figure 2</label>
      <caption>
       <title>Figure 2. Distribution of revenue and eligible expenses per vehicle and per passenger across agencies (MDOT, 2023b).</title>
      </caption>
      <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/1150933-rId17.jpeg?20250620020836" />
     </fig>
     <fig id="fig2" position="float">
      <label>Figure 2</label>
      <caption>
       <title>Figure 2. Distribution of revenue and eligible expenses per vehicle and per passenger across agencies (MDOT, 2023b).</title>
      </caption>
      <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/1150933-rId18.jpeg?20250620020836" />
     </fig>
    </fig-group>
    <p>Figure 2. Distribution of revenue and eligible expenses per vehicle and per passenger across agencies (<xref ref-type="bibr" rid="scirp.143423-9">
      MDOT, 2023b
     </xref>).</p>
   </sec>
   <sec id="s3_4">
    <title>3.4. Voter Support through Millage Approvals</title>
    <p>Michigan residence has a long history of supporting public transit through mileage even though some take few election cycles to win such support (<xref ref-type="bibr" rid="scirp.143423-21">
      Zhong et al., 2022
     </xref>). Recent millage approvals signal strong public backing. Michigan’s rural transit riders are very supportive of their system by approving transit related millages. In November 2024, six of seven proposals passed with strong majorities (e.g., Midland County, 75%), reflecting growing recognition of transit’s value, though one (Shiawassee) failed narrowly (<xref ref-type="bibr" rid="scirp.143423-2">
      Detroit Transit, 2024
     </xref>). This aligns with broader rural transit marketing efforts (<xref ref-type="bibr" rid="scirp.143423-17">
      Transit Marketing, 2023
     </xref>).</p>
   </sec>
  </sec><sec id="s4">
   <title>4. Discussion</title>
   <p>While some agencies, like the top-ranked BENZE system, have embraced innovation, overall progress of all rural transit agencies in technology adoption remains slow. Barriers include unreliable apps, poor training, and high costs, compounded by rural connectivity issues. Rider needs—real-time data and mobile payments—align with agency priorities, yet MaaS, despite its potential, ranks low (3.72) in perceived importance, indicating awareness gaps (<xref ref-type="bibr" rid="scirp.143423-15">
     Shaheen &amp; Cohen, 2021
    </xref>). Barriers like the digital divide, resistance to change, and high costs further complicate progress (<xref ref-type="bibr" rid="scirp.143423-20">
     Yu &amp; Liu, 2024
    </xref>; <xref ref-type="bibr" rid="scirp.143423-14">
     Poltimäe et al., 2022
    </xref>).</p>
   <p>Real-time information and mobile payment options are essential for riders, especially in Michigan, where harsh winters necessitate precise vehicle arrival times to minimize outdoor waiting. Meeting these needs effectively requires a robust technological framework, including system security, which a statewide Mobility-as-a-Service (MaaS) platform could provide for rural transit. Such a system would address critical challenges, including selecting suitable technologies, managing upgrades and maintenance, strengthening cybersecurity, and securing local funding. Michigan, the second state in the country to pursue this approach, has partnered with HNTB to pilot MaaS, advancing its rural transit system.</p>
  </sec><sec id="s5">
   <title>5. Recommendations</title>
   <p>While it is true that no technology implementation goes perfectly, some agencies’ approaches of making adjustments and moving on were practical. It’s impressive how some of the agencies managed to stay flexible and find workarounds. To address the challenges, we propose: 1) For author/s of only one affiliation: To change the default, adjust the template as follows.</p>
  </sec><sec id="s6">
   <title>6. Conclusion and Future Study</title>
   <p>Michigan’s rural transit agencies stand at a pivotal moment, weighing technological promise against practical hurdles. Transit operators must recognize that their purpose revolves around serving riders. Meanwhile, drivers, as the primary point of contact for riders, play a key role in this ecosystem. Their active participation in selecting, training, and promoting transit technology is therefore essential. By adopting multi-channel marketing strategies, ensuring technological accessibility, and focusing on education and community engagement, transit systems can successfully introduce technology to rural areas, enhancing mobility and improving quality of life for users. While challenges exist, the potential for growth in rural transit technology adoption is significant, benefiting both residents and local economies. In addition, by addressing readiness barriers and embracing a tailored MaaS framework, these systems can enhance accessibility, efficiency, and satisfaction, ensuring equitable mobility for rural residents.</p>
   <p>While this study focuses on the current state of technology in rural Michigan’s transit systems. Future study could include a comparative analysis with other states or countries that have implemented similar technologies in their rural transit systems. This would not only offer a benchmark but also provide insights into different approaches and their effectiveness, potentially offering lessons learned or best practices that could be applicable to Michigan.</p>
  </sec>
 </body><back>
  <ref-list>
   <title>References</title>
   <ref id="scirp.143423-ref1">
    <label>1</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Berg, J.,&amp;Ihlström, J. (2019). The Importance of Public Transport for Mobility and Everyday Activities among Rural Residents. Social Sciences, 8, Article 58. &gt;https://doi.org/10.3390/socsci8020058
    </mixed-citation>
   </ref>
   <ref id="scirp.143423-ref2">
    <label>2</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Detroit Transit (2024). Election Wins. &gt;https://www.detroittransit.org/election-wins/ 
    </mixed-citation>
   </ref>
   <ref id="scirp.143423-ref3">
    <label>3</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Godavarthy, R., Mattson, J.,&amp;Ndembe, E. (2014). Cost-Benefit Analysis of Rural and Small Urban Transit. &gt;https://www.cutr.usf.edu/wp-content/uploads/2014/03/CUTR-Webcast-Handout-3.20.14.pdf
    </mixed-citation>
   </ref>
   <ref id="scirp.143423-ref4">
    <label>4</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     HNTB (2022). MDOT OPT Statewide Technology Plan for Michigan Rural Public Transit Agencies. &gt;https://www.michigan.gov/mdot/-/media/Project/Websites/MDOT/Travel/Mobility/Public-Transportation/Publications/Statewide-Transit-Technology-Plan-Rural-RTAs.pdf?rev=9e9e49601b8c4204adb7189ce6d1cd16&amp;hash=9BFEE8546BCA22E1767B635AB61AFE49 
    </mixed-citation>
   </ref>
   <ref id="scirp.143423-ref5">
    <label>5</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Kamalesh, A., Dinesh, M., Hariharen, V., Hemanth Kumar, K.,&amp;Lokesh, P. (2023). Revolutionizing Rural Transportation: The Role of Bus Tracking Apps in Improving Mobility and Connectivity in Remote Communities. International Journal of Research and Analytical Reviews, 10, 116-119. &gt;https://ijrar.org/papers/IJRAR1DDP021.pdf 
    </mixed-citation>
   </ref>
   <ref id="scirp.143423-ref6">
    <label>6</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Litman, T. (2017). Public Transportation’s Impact on Rural and Small Towns, a Vital Mobility Link. American Public Transportation Association. &gt;https://www.apta.com/wp-content/uploads/Resources/resources/reportsandpublications/Documents/APTA-Rural-Transit-2017.pdf
    </mixed-citation>
   </ref>
   <ref id="scirp.143423-ref7">
    <label>7</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Lynott, J. (2023). Innovations in Rural Public Transportation: Data Standards under Development. &gt;https://www.aarp.org/pri/topics/livable-communities/transportation/innovations-in-rural-public-transportation-data-standards-under/ 
    </mixed-citation>
   </ref>
   <ref id="scirp.143423-ref8">
    <label>8</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Michigan Department of Transportation (MDOT) (2023a). Public Transportation Management System Performance Indicators Report. &gt;https://www.michigan.gov/mdot/-/media/Project/Websites/MDOT/Travel/Mobility/Public-Transportation/Programs-Data/Program-Data/FY23-Ridership-Report.pdf?rev=66e13533d2d74d5ab235743b7bf1e051&amp;hash=6345CE44B981A27961DA5588A5D48FE1
    </mixed-citation>
   </ref>
   <ref id="scirp.143423-ref9">
    <label>9</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     MDOT (2023b). Michigan Public Transit Facts Revenue/Expense Report. &gt;https://www.michigan.gov/mdot/-/media/Project/Websites/MDOT/Travel/Mobility/Public-Transportation/Programs-Data/Program-Data/FY23-Revenue-Expense-Report.pdf?rev=c2341e56cc5440b9ba4702e9aa2e88fa&amp;hash=C887023CB5DD28317D0B04F512AD772D
    </mixed-citation>
   </ref>
   <ref id="scirp.143423-ref10">
    <label>10</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     MDOT (2024a). New Innovations for Rural Public Transit Agencies Highlighted in Video News Release. &gt;https://www.michigan.gov/mdot/news-outreach/pressreleases/2024/07/03/new-innovations-for-rural-public-transit-agencies-highlighted-in-video-news-release
    </mixed-citation>
   </ref>
   <ref id="scirp.143423-ref11">
    <label>11</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     MDOT (2024b). Media Event to Showcase New Innovations for Rural Public Transit Agencies. &gt;https://www.michigan.gov/mdot/news-outreach/pressreleases/2024/06/21/media-event-to-showcase-new-innovations-for-rural-public-transit-agencies
    </mixed-citation>
   </ref>
   <ref id="scirp.143423-ref12">
    <label>12</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     MDOT (2024c). New Innovations for Rural Public Transit Agencies Highlighted in Video News Release. &gt;https://content.govdelivery.com/accounts/MIDOT/bulletins/3a67897
    </mixed-citation>
   </ref>
   <ref id="scirp.143423-ref13">
    <label>13</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Peterson, D., Mattson, J.,&amp;Ezekwem, K. (2020). ITS Technology Usage and Feasibility in Small Urban and Rural Transit. &gt;https://library.ndsu.edu/ir/items/f702427d-b99b-40a8-b055-5cf3f89a7bbe
    </mixed-citation>
   </ref>
   <ref id="scirp.143423-ref14">
    <label>14</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Poltimäe, H., Rehema, M., Raun, J.,&amp;Poom, A. (2022). In Search of Sustainable and Inclusive Mobility Solutions for Rural Areas. European Transport Research Review, 14, Article No. 13. &gt;https://doi.org/10.1186/s12544-022-00536-3
    </mixed-citation>
   </ref>
   <ref id="scirp.143423-ref15">
    <label>15</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Shaheen, S.,&amp;Cohen, A. (2021). Mobility on Demand (MOD) and Mobility as a Service (MaaS): Similarities, Differences, and Potential Implications for Transportation in the Developing World. Transportation Sustainability Research Center. &gt;https://tsrc.berkeley.edu/sites/default/files/publications/shaheen_cohen_similaritiesdifferences_modandmaas_.pdf
    </mixed-citation>
   </ref>
   <ref id="scirp.143423-ref16">
    <label>16</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Small Urban and Rural Transit Center (2024). Rural Transit Fact Book 2024. &gt;https://rosap.ntl.bts.gov/view/dot/76942
    </mixed-citation>
   </ref>
   <ref id="scirp.143423-ref17">
    <label>17</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Transit Marketing (2023). Revolutionizing Rural Transportation: Marketing Strategies. &gt;https://ruraltransportation.org/wp-content/uploads/2023/09/TransitMarketing.pdf
    </mixed-citation>
   </ref>
   <ref id="scirp.143423-ref18">
    <label>18</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     U.S. Department of Transportation (USDOT) (2024). MDOT Rural Transit Study. &gt;https://www.transportation.gov/sites/dot.gov/files/2024-10/MDOT%20-%202.pdf
    </mixed-citation>
   </ref>
   <ref id="scirp.143423-ref19">
    <label>19</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Via Transportation (2022). 5 Myths about Using TransitTech in Rural Transportation Networks. &gt;https://ridewithvia.com/resources/5-myths-about-using-transittech-in-rural-transportation-networks 
    </mixed-citation>
   </ref>
   <ref id="scirp.143423-ref20">
    <label>20</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Yu, J.,&amp;Liu, Y. (2024). Barriers to Transportation in Rural Communities: Perspective of Older Adult Users. The Journals of Gerontology: Series B, 79, gbad135. &gt;https://doi.org/10.1093/geronb/gbad135
    </mixed-citation>
   </ref>
   <ref id="scirp.143423-ref21">
    <label>21</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Zhong, X., Bernasconi, C.,&amp;Maalouf, N. (2022). Willingness to Support Transit Index: Understanding the Impact of Political, Ideological, and Socio-Demographic Traits on Support for Public Transit. Journal of Public Transportation, 24, Article 100007. &gt;https://doi.org/10.1016/j.jpubtr.2022.100007
    </mixed-citation>
   </ref>
  </ref-list>
 </back>
</article>