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Advancing Public Transport and Urban Infrastructures for Micro-Mobility in Sustainable Cities

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A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Transportation".

Deadline for manuscript submissions: 31 December 2025 | Viewed by 3648

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Special Issue Editors

Dr. Sebastian Seriani

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Escuela de Ingenieria de Construcción y Transporte, Pontificia Universidad Catolica de Valparaíso, Valparaiso, Chile
Interests: cyclists; pedestrians; accessibility; urban mobility; modelling; public transport
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Dr. Fernandes Vicente

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Escuela de Ingenieria de Construcción y Transporte, Pontificia Universidad Catolica de Valparaíso, Valparaíso, Chile
Interests: transport geography; urban geography; economic geography; regional planning
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Dr. Taku Fujiyama

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Faculty of Civil, Environmental and Geomatic Engineering, University College London, Gower St., London WC1E 6BT, UK
Interests: railway research; the resilience of infrastructure including transport systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

To achieve sustainable cities, one requirement is to improve micro-mobility in public transport and urban infrastructure through the use of quantitative and qualitative methodologies. These methodologies allow us to study these systems with relation to their flow condition, and at the same time incorporate their relationship with their territory through the conception of the place in which they are being developed (e.g., a metro station as a node-place). This implies combining sustainability and interdisciplinary approaches, such as surveys, documentary analysis, field observation, experimentation, and simulation. In this Special Issue, we understand sustainability as the combination of social, environmental, and economic dimensions that require territorial governance that allows for a good articulation between them. This Special Issue is interested in studies related to railway infrastructure, bus systems, universality, intermodality, accessibility, inclusive design, equity, spatial analysis of mobility, service-level analysis, the use of innovative technologies, urban environment, public policies, and strategies to promote public and non-motorized transport. We also welcome studies that explore these issues at different scales, from the local to the regional, both in urban and rural areas, focused on micro-mobility. Overall, this Special Issue hopes to contribute theoretically and practically to generate proposals and strategies to promote greater sustainable development from the problems related to transport and mobility.

You may choose our Joint Special Issue in Applied Science.

Dr. Sebastian Seriani
Dr. Fernandes Vicente
Dr. Taku Fujiyama
Guest Editors

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Keywords

equity, accessibility, and sustainability
service-level analysis, intermodality, and railway infrastructure
inclusive design and universal accessibility in public transport
crowd management and public space
spatial analysis of mobility and big data
the use of innovative technologies and methodologies
urban environment and mobility challenges
public policies in sustainable mobility
strategies for the promotion of public and non-motorized transport
the resilience of public transport systems and urban infrastructure

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Published Papers (3 papers)

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Research

27 pages, 738 KB

Open AccessArticle

Association of Urban Form, Neighbourhood Characteristics, and Socioeconomic Factors with Travel Behaviour in Windhoek, Namibia

by Hilma Nuuyandja, Noleen Pisa, Houshmand Masoumi and Chengete Chakamera

Sustainability 2025, 17(17), 7800; https://doi.org/10.3390/su17177800 - 29 Aug 2025

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Abstract

This paper investigates the associations between urban form, neighbourhood characteristics, socioeconomic factors and commuting mode choice and neighbourhood-level active travel (walking and cycling) in Windhoek, Namibia. Despite growing interest in sustainable mobility, limited research has examined these relationships in medium-sized African cities, particularly in distinguishing between commuting and neighbourhood travel behaviour. To address this gap, the study explores three interrelated research questions: (1) In what ways are urban form, accessibility, and socioeconomic factors associated with residents’ choices between motorised and non-motorised commuting modes? (2) What factors determine the propensity of cycling within neighbourhoods? (3) How are similar factors associated with walking propensity at the neighbourhood level? Using survey data from 1000 residents across nine constituencies and spatial analysis through GIS, the study applies binary logistic and multiple linear regression models to analyse commuting and local travel patterns. The findings show that commuting mode choice is significantly associated with socioeconomic status, car ownership, commuting time, and urban sprawl around homes, all of which reduce the likelihood of walking or cycling. Neighbourhood walking, in contrast, is largely driven by necessity in underserved, high-density areas and is positively associated with population density, perceived safety, and community belonging but constrained by inadequate infrastructure and car access. Cycling, though less frequent, is associated with perceived security, access to local amenities, and cycling competence, while negatively constrained by inexperience and cultural norms. The study concludes that fragmented urban form and socioeconomic disparities reinforce mobility exclusion and calls for equity-oriented transport planning that integrates infrastructure and behavioural change. Full article

(This article belongs to the Special Issue Advancing Public Transport and Urban Infrastructures for Micro-Mobility in Sustainable Cities)

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20 pages, 858 KB

Open AccessArticle

Comparative Analysis of Data Augmentation Strategies Based on YOLOv12 and MCDM for Sustainable Mobility Safety: Multi-Model Ensemble Approach

by Volkan Tanrıverdi and Kadir Diler Alemdar

Sustainability 2025, 17(12), 5638; https://doi.org/10.3390/su17125638 - 19 Jun 2025

Cited by 1 | Viewed by 834

Abstract

The transportation sector is an important stakeholder in greenhouse gas emissions. Sustainable transportation systems come to the forefront against this problem, with the solutions within the scope of micro-mobility especially attracting attention for their environmentally friendly structures. While micro-mobility vehicles reduce the carbon footprint in transportation, their widespread use remains limited due to various security concerns. In this paper, an image processing-based process was carried out on vehicle and safety equipment usage to provide solutions to the security concerns of micro-mobility users. The effectiveness of frequently used data augmentation techniques was also examined to detect the presence of micro-mobility users and equipment usage with higher accuracy. In this direction, two different datasets (D1_Micro-mobility and D2_Helmet detection) and a total of 46 models were established and the effects of data augmentation techniques on YOLOv12 model performance outputs were evaluated with Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE), one of the Multi-Criteria Decision-Making (MCDM) methods. In addition, the determination of Multiple Model Ensemble (MME), consisting of multiple data augmentation techniques, was also carried out through the K-means clustering–Elbow method. For D1_Micro-mobility datasets, it is observed that MME improves the model performance by 19.7% in F1-Score and 18.54% in mAP performance metric. For D2_Helmet detection datasets, it is observed that MME improves the model performance by 2.36% only in the Precision metric. The results show that, in general, data augmentation techniques increase model performance in a multidimensional manner. Full article

(This article belongs to the Special Issue Advancing Public Transport and Urban Infrastructures for Micro-Mobility in Sustainable Cities)

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23 pages, 4318 KB

Open AccessArticle

Incident Analysis in Micromobility Spaces at Metro Stations: A Case Study in Valparaíso, Chile

by Sebastian Seriani, Vicente Aprigliano, Catalina Toro, Gonzalo Rojas, Felipe Gonzalez, Alvaro Peña and Kamalasudhan Achuthan

Sustainability 2024, 16(23), 10483; https://doi.org/10.3390/su162310483 - 29 Nov 2024

Cited by 2 | Viewed by 1531

Abstract

This study analyzes passenger incidents in metro stations and their relationship with safety in Valparaiso, Chile. The primary aim is to examine how factors such as station design, passenger flow, and weather conditions influence the frequency and types of incidents in various micromobility spaces within metro stations. A comprehensive data analysis was conducted using records from the Valparaiso Metro between 2022 and 2023. During this period, approximately 500 incidents were documented, providing a substantial dataset for identifying incident patterns and correlations with contributing factors. The analysis revealed that incidents are significantly influenced by peak-hour conditions and weekdays. The platform–train interface emerged as the most complex space for incident occurrences. Specifically, the study found that crowded conditions inside trains during morning and evening rush hours contribute substantially to incidents. In other station spaces, incidents were closely linked to the station type and the presence of stair access. Conversely, stations designed with more accessible features appeared to have fewer incidents. Future studies will expand on this framework by incorporating additional factors and analyzing new data to develop a more comprehensive understanding of incident dynamics. Full article

(This article belongs to the Special Issue Advancing Public Transport and Urban Infrastructures for Micro-Mobility in Sustainable Cities)

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