Smart Mobility Hubs for Sustainable Urban Traffic Management

Thesis Abstract

Urban traffic congestion and environmental pollution pose significant challenges to sustainable city development, necessitating innovative transportation solutions that integrate technological advancements with urban planning. This study investigates the development and implementation of smart mobility hubs as a means to enhance urban traffic management, reduce congestion, and promote environmentally sustainable transportation behaviors. The primary aim is to assess the effectiveness of strategically located multimodal mobility hubs in optimizing transportation flows and fostering commuter adoption of sustainable travel modes within the metropolitan area. Specific objectives include evaluating current mobility patterns, identifying spatial and infrastructural requirements for effective hub deployment, and examining user perceptions and acceptance of the integrated services offered by smart mobility hubs. Employing a mixed-methods research design, the study combines quantitative surveys with qualitative interviews to capture comprehensive insights into mobility behaviors and stakeholder perspectives. The targeted population comprises 2,000 urban commuters and 50 transportation planners, selected through stratified random sampling to ensure representation across different socioeconomic groups and geographic zones within the city. Data collection instruments include structured questionnaires to quantify commuter preferences, GIS-based spatial analysis to identify optimal hub locations, and semi-structured interview guides for transportation officials. Validity and reliability of the survey instruments are ensured through pilot testing and Cronbach’s alpha analysis, with pilot responses from 150 participants indicating a reliability coefficient exceeding 0.85. Quantitative data will be analyzed using descriptive statistics, regression analysis, and multivariate cluster analysis to discern patterns in mobility choices and identify factors influencing adoption of multimodal travel options. Spatial data analysis via Geographic Information Systems (GIS) will inform the strategic placement and infrastructural design of the mobility hubs. Qualitative data from interviews will undergo thematic analysis to explore perceptions, barriers, and facilitators related to the deployment and use of smart mobility hubs, guided by the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB). It is expected that the findings will demonstrate a positive correlation between the presence of integrated mobility hubs and improvements in traffic flow efficiency, modal share shift towards sustainable options such as cycling, walking, and public transit, and increased user satisfaction. The study anticipates revealing critical infrastructural, socio-economic, and technological factors that influence successful implementation and utilization of smart mobility hubs. Additionally, insights into stakeholder perceptions and behavioral drivers will inform policy recommendations aimed at enhancing user engagement and addressing potential barriers. This research advances the body of knowledge by providing empirical evidence on the role of ICT-enabled multimodal hubs in urban traffic management and sustainable transportation promotion. It contributes a comprehensive framework for integrating spatial analytics, user behavior insights, and technological innovation within urban planning strategies. The main conclusion underscores that intelligently designed, well-located mobility hubs significantly enhance urban traffic efficiency, reduce environmental impacts, and encourage sustainable travel behaviors. Based on these findings, the study recommends increased investments in ICT infrastructure, stakeholder-driven planning processes, and targeted awareness campaigns to facilitate user acceptance. It further advocates for the adoption of adaptive, data-driven approaches for continuous monitoring and optimization of mobility hub operations. Suggestions for future research include exploring the long-term environmental impacts of mobility hub deployment, integrating autonomous vehicle technologies, and extending the framework to peri-urban and rural contexts. The implications of this study aim to support urban policymakers, transport agencies, and urban planners in designing smarter, more sustainable cities through innovative mobility solutions driven by ICT.