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Smart Mobility and Last-Mile Rail Integration: Comparison
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Please note this is a comparison between Version 2 by Abigail Zou and Version 1 by Wil Martens.

Smart-city last-mile rail access, referred to in this entry simply as last-mile access, captures how travelers connect to and from rail stations during the first or last leg of a journey. It encompasses both the design of multimodal connections and the experience of accessibility that results from them. On the supply side, last-mile access involves the coordination of walking, cycling, micromobility, and feeder transit with rail services, supported by digital systems that unify planning, ticketing, and payment. On the demand side, it reflects how efficiently and equitably travelers can reach stations within these coordinated networks. Together, these physical and institutional dimensions extend the functional reach of rail, reduce transfer barriers, and reinforce its role as the backbone of sustainable urban mobility. As cities strive to reduce car dependency while promoting inclusivity and accessibility, last-mile access has become a key indicator of how infrastructure, technology, and governance intersect to deliver more equitable transportation systems.

  • smart mobility
  • last mile access
  • intermodal integration
  • shared mobility
  • transit-oriented development
  • transit platforms
Smart cities are increasingly studied in the transport literature as socio-technical systems that align digital technologies with sustainability and citizen-oriented goals. In this paper, the term refers not only to the technological layer of sensors, the Internet of Things (IoT), and analytics, but also to the governance and service-integration capacities that embed these tools in everyday mobility [1,2][1][2]. In this perspective, information and communication technologies (ICT), IoT, and data analytics are deployed to optimize networks, manage demand, and reduce environmental externalities. Rail plays a central role in these efforts, as it provides high passenger throughput with relatively low energy use and markedly lower greenhouse gas emissions compared to road or air transport [3,4][3][4]. On average, passenger rail requires only one-fifth to one-third of the energy per passenger-kilometer consumed by private cars, and freight rail produces only a fraction of the emissions of equivalent truck transport. Beyond mitigation, rail expansion improves accessibility, air quality, and safety.
The strengths of rail are limited by the reach of the stations and the quality of their connections to the surrounding neighborhoods [5]. This “first-and last-mile problem” describes the distance between trip origins or destinations and the nearest stop. Although often treated together, the two legs pose different challenges: morning first-mile trips from residential areas frequently lack reliable feeder options, while evening last-mile returns face congested curbs and conflicts in the station area. Walking is typically feasible for up to 500–800 m [6], but many residents live or work beyond this threshold, especially in low-density or peri-urban areas. Planning benchmarks are more conservative, often requiring micromobility docks or feeder stops within 300 m of station entrances to ensure practical access [7]. Where connections are inadequate, ridership declines, and vulnerable groups such as older adults, the mobility-impaired, and low-income households bear disproportionate burdens [8,9][8][9]. Accessibility is therefore not only a matter of network design but also an equity concern.
Comparative evidence underscores the global scale of this challenge. In European cities, roughly 30–45% of residents live beyond a comfortable walking catchment (≈800 m) of the nearest rail station, with shares rising to 60–70% in lower-density North American metropolitan areas [10,11][10][11]. In rapidly urbanizing regions of Asia and Africa, inadequate first-and last-mile connections are associated with rail ridership operating 40–60% below practical capacity, with shortfalls concentrated among low-income households in peripheral neighborhoods [12,13][12][13]. These spatial gaps trans-late into tangible welfare losses: households without proximate feeder services routinely face 25–40% longer commute times and reduced access to employment and education [13]. Together, these findings demonstrate that last-mile access is a structural barrier to inclusive mobility, reinforcing the need for integrated approaches that combine spatial design with digital coordination.
This entry synthesizes academic and policy research on smart-city last-mile rail access published primarily between 2015 and 2025. It draws on peer-reviewed research in transport planning, urban studies, and sustainability science, alongside reports from international organizations such as the ITF, OECD, and World Bank, as well as case documentation from metropolitan transport authorities. The synthesis emphasizes conceptual integration rather than systematic review, organizing the evidence around five domains: theoretical foundations, physical and digital infrastructure, implementation models, equity and governance challenges, and sustainability outcomes. Case studies are included to illustrate the spectrum of service models—from public-led and public–private partnerships to technology-driven and informal systems—across diverse geographical and institutional contexts. Indicators cited throughout reflect bench-marks used in policy and planning practice rather than universal standards, situating the discussion in both academic and applied relevance.
To guide readers, the entry is structured to move from conceptual framing to applied synthesis. Section 2 establishes the theoretical foundations linking transit-oriented development (TOD), information and communication technologies (ICT) and intelligent transportation systems (ITS), and Mobility-as-a-Service (MaaS) studies that have evolved largely in parallel. Section 3 identifies the physical and digital components of a smart-city last-mile ecosystem, translating abstract principles into infrastructure and coordination mechanisms. Section 4 examines implementation models—public-led, PPP-based, technology-driven, and informal—illustrated through comparative case studies. Section 5 addresses equity and governance challenges that shape whether technical innovations yield inclusive outcomes, and Section 6 explores sustainability trade-offs across lifecycle emissions, resource recovery, and data governance. Finally, Section 7 synthesizes findings and outlines research pathways for empirical validation. This progression reflects the entry’s dual aim: to consolidate fragmented studies into an integrated conceptual framework and to provide actionable insight for scholars and practitioners seeking to build digitally coordinated, equity-oriented mobility systems.

References

  1. Martens, W.; Pham, D.T.H.; Pang, J.M. A computational approach to transparency in corporate governance across borders. VMOST J. Soc. Sci. Humanit. 2023, 65, 51–65.
  2. Martens, W. Beyond the Barriers: Institutional Strength as a Shield in Curbing Earnings Manipulation. 2024. Available online: https://ssrn.com/abstract=4963405 (accessed on 19 September 2025).
  3. Craven, N.; Philippe, M.-L. Railways as the Backbone of Environmentally Sustainable Transport and Their Contribution to the Sustainable Development Goals (SDGS); Background paper for plenary session 11; United Nations Centre for Regional Development: Nagoya, Japan, 2017.
  4. Sekasi, J.; Martens, M.L. Assessing the contributions of urban light rail transit to the sustainable development of addis ababa. Sustainability 2021, 13, 5667.
  5. Lu, Y.; Kimpton, A.; Prato, C.G.; Sipe, N.; Corcoran, J. First and last mile travel mode choice: A systematic review of the empirical literature. Int. J. Sustain. Transp. 2024, 18, 1–14.
  6. Streb, M. Walkable neighbourhoods: Building in the right places to reduce car dependency. Sustrans. 2022. Available online: https://www.walkwheelcycletrust.org.uk/media/10520/walkable-neighbourhoods-report.pdf?utm_source=chatgpt.com (accessed on 18 September 2025).
  7. Viegas, J.; Martinez, L. Transition to Shared Mobility; International Transport Forum, OECD: Paris, France, 2017; Available online: https://www.itf-oecd.org/sites/default/files/docs/transition-shared-mobility.pdf (accessed on 19 September 2025).
  8. Kåresdotter, E.; Page, J.; Mörtberg, U.; Näsström, H.; Kalantari, Z. First mile/last mile problems in smart and sustainable cities: A case study in stockholm county. Mobil. Plan. Support Syst. 2022, 29, 115–137.
  9. Alfaris, R.E.; Patel, D.; Jalayer, M.; Meenar, M. Barriers associated with the first/last mile trip and solutions to bridge the gap: A scoping literature review. Transp. Res. Rec. 2024, 2678, 38–48.
  10. Forum, I.T. Integrating Public Transport into Mobility as a Service; OECD Publishing: Paris, France, 2021.
  11. Currie, G.; Adli, S.N.; Chowdhury, S.; Shiftan, Y. Evaluating spatial justice in rail transit: Access to terminals by foot. J. Transp. Land Use 2018, 11, 45–60.
  12. Bank, W. Transforming the Urban Space Through Transit-Oriented Development: The 3v Approach; World Bank Group: Washington, DC, USA, 2017; Available online: https://www.worldbank.org/en/topic/transport/publication/transforming-the-urban-space-through-transit-oriented-development-the-3v-approach (accessed on 18 September 2025).
  13. Chetty, R.; Hendren, N. The Impacts of Neighborhoods on Intergenerational Mobility I: Childhood Exposure Effects. Q. J. Econ. 2018, 133, 1107–1162.
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