Multimodal urban mobility and multilayer transport networks

Transportation networks, from bicycle paths to buses and railways, are the backbone of urban mobility. In large metropolitan areas, the integration of different transport modes has become crucial to guarantee the fast and sustainable flow of people. Using a network science approach, multimodal transport systems can be described as multilayer networks, where the networks associated to different transport modes are not considered in isolation, but as a set of interconnected layers. Despite the importance of multimodality in modern cities, a unified view of the topic is currently missing. Here, we provide a comprehensive overview of the emerging research areas of multilayer transport networks and multimodal urban mobility, focusing on contributions from the interdisciplinary fields of complex systems, urban data science, and science of cities. First, we present an introduction to the mathematical framework of multilayer networks. We apply it to survey models of multimodal infrastructures, as well as measures used for quantifying multimodality, and related empirical findings. We review modelling approaches and observational evidence in multimodal mobility and public transport system dynamics, focusing on integrated real-world mobility patterns, where individuals navigate urban systems using different transport modes. We then provide a survey of freely available datasets on multimodal infrastructure and mobility, and a list of open source tools for their analyses. Finally, we conclude with an outlook on open research questions and promising directions for future research.Comment: 31 pages, 4 figure

Promoting Intermodal Connectivity at California’s High Speed Rail Stations

High-speed rail (HSR) has emerged as one of the most revolutionary and transformative transportation technologies, having a profound impact on urban-regional accessibility and inter-city travel across Europe, Japan, and more recently China and other Asian countries. One of HSR’s biggest advantages over air travel is that it offers passengers a one-seat ride into the center of major cities, eliminating time-consuming airport transfers and wait times, and providing ample opportunities for intermodal transfers at these locales. Thus, HSR passengers are typically able to arrive at stations that are only a short walk away from central business districts and major tourist attractions, without experiencing any of the stress that car drivers often experience in negotiating such highly congested environments. Such an approach requires a high level of coordination and planning of the infrastructural and spatial aspects of the HSR service, and a high degree of intermodal connectivity. But what key elements can help the US high-speed rail system blend successfully with other existing rail and transit services? That question is critically important now that high-speed rail is under construction in California. The study seeks to understand the requirements for high levels of connectivity and spatial and operational integration of HSR stations and offer recommendations for seamless, and convenient integrated service in California intercity rail/HSR stations. The study draws data from a review of the literature on the connectivity, intermodality, and spatial and operational integration of transit systems; a survey of 26 high-speed rail experts from six different European countries; and an in-depth look of the German and Spanish HSR systems and some of their stations, which are deemed as exemplary models of station connectivity. The study offers recommendations on how to enhance both the spatial and the operational connectivity of high-speed rail systems giving emphasis on four spatial zones: the station, the station neighborhood, the municipality at large, and the region

On the Temporal-spatial Analysis of Estimating Urban Traffic Patterns Via GPS Trace Data of Car-hailing Vehicles

Car-hailing services have become a prominent data source for urban traffic studies. Extracting useful information from car-hailing trace data is essential for effective traffic management, while discrepancies between car-hailing vehicles and urban traffic should be considered. This paper proposes a generic framework for estimating and analyzing urban traffic patterns using car-hailing trace data. The framework consists of three layers: the data layer, the interactive software layer, and the processing method layer. By pre-processing car-hailing GPS trace data with operations such as data cutting, map matching, and trace correction, the framework generates tensor matrices that estimate traffic patterns for car-hailing vehicle flow and average road speed. An analysis block based on these matrices examines the relationships and differences between car-hailing vehicles and urban traffic patterns, which have been overlooked in previous research. Experimental results demonstrate the effectiveness of the proposed framework in examining temporal-spatial patterns of car-hailing vehicles and urban traffic. For temporal analysis, urban road traffic displays a bimodal characteristic while car-hailing flow exhibits a 'multi-peak' pattern, fluctuating significantly during holidays and thus generating a hierarchical structure. For spatial analysis, the heat maps generated from the matrices exhibit certain discrepancies, but the spatial distribution of hotspots and vehicle aggregation areas remains similar

A Comparative Analysis of High-Speed Rail Station Development into Destination and Multi-Use Facilities: The Case of San Jose Diridon

As a burgeoning literature on high-speed rail development indicates, good station-area planning is a very important prerequisite for the eventual successful operation of a high-speed rail station; it can also trigger opportunities for economic development in the station area and the station-city. At the same time, “on the ground” experiences from international examples of high-speed rail stations can provide valuable lessons for the California high-speed rail system in general, and the San Jose Diridon station in particular. This study identifies and draws lessons from European HSR stations that share similarities across several criteria with the San Jose area context. From an initial consideration of twenty European HSR stations, the researchers chose five stations for in depth case studies: Euralille and Lyon Part Dieu in France, Rotterdam Centraal and Utrecht Centraal in the Netherlands, and Torino Porta Susa in Italy. Additionally, the study drew information from relevant local actors and stakeholders to better tailor recommendations to the particular California context.Through the undertaking of different research tasks–literature review, case studies of European railway stations, survey of existing station plans and other planning documents for the Diridon station, station area analysis, and interviews with station area planners and designers–the study compiles timely recommendations for the successful planning of the Diridon station and other stations along the California high-speed rail corridor

Urban mobility data analysis in Montevideo, Uruguay

Transportation systems play a major role in modern urban contexts, where citizens are expected to travel in order to engage in social and economic activities. Understanding the interaction between citizens and transportation systems is crucial for policy-makers that aim to improve mobility in a city. Within the novel paradigm of smart cities, modern urban transportation systems incorporate technologies that generate huge volumes of data in real time, which can be processed to extract valuable information about the mobility of citizens. This thesis studies the public transportation system of Montevideo, Uruguay, following an urban data analysis approach. A thorough analysis of the transportation system and its usage is outlined, which combines several sources of urban data. The analyzed data includes the location of each bus of the transportation system as well as every ticket sold using smart cards during 2015, accounting for over 150 GB of raw data. Furthermore, origin-destination matrices, which describe mobility patterns in the city, are generated by processing geolocalized bus ticket sales data. For this purpose, a destination estimation algorithm is implemented following methodologies from the related literature. The computed results are compared to the ndings of a recent mobility survey, where the proposed approach arises as a viable alternative to obtain up-to-date mobility information. Finally, a visualization web application is presented, which allows conveying the aggregated information in an intuitive way to stakeholders

Novas soluções para a interação entre operador e passageiro nos transportes públicos

Environmental awareness has been increasing over the years. Since the transportation sector is one of the great contributors of greenhouse gas (GHG) emissions, it is necessary to motivate people to leave their car at home and use public transport. However, service providers must meet passengers' needs in a more personalized way and improve the quality of the service they offer. This project aims to provide a tool that positively impacts the required shift towards sustainability, and it relies on the exchange of passenger information to achieve this goal. The challenge proposed by the company, OPT, is based on the creation of new solutions for the interaction between operator and passenger through the Smartphone. Given that OPT is headquartered in Porto, its area of intervention par excellence is focused on the Metropolitan Area of Porto (MAP). The project focused on the acquisition of passenger data from this same area to characterize it in terms of urban mobility. The study has the MAP as a starting point however, the goal is to create a solution that is scalable to any city. The project began by characterizing the current situation regarding passenger information in the metropolitan area of Porto and a passenger survey was conducted to understand their perception towards information in public transports. Despite the available app offer, there are opportunities for improvement in the context of the integration of essential app functionalities and user experience. In addition, a bilateral interaction between the two stakeholders is needed in order to generate relevant information from user feedback. In this way, a new mobile application concept for public transport was designed to co-create value and improve the quality of service and allow seamless mobility across the travel network. Taking into account the commercial potential of this project, the strategies of innovation and business are based on the optimization of resources and value for the clientAo longo dos anos, a consciencialização das populações relativamente ao meio ambiente tem vindo a aumentar. O setor dos transportes, nomeadamente o de passageiros, tem um grande impacto na emissão de gases poluentes e, por isso, a utilização do veículo próprio como meio de transporte de eleição tem de ser reduzida. Para isto, é necessário que o transporte público se torne apelativo e sirva as necessidades das pessoas de forma personalizada e com qualidade. Este projeto é desenvolvido de acordo com a premissa de melhoria da qualidade dos transportes públicos e baseia-se na troca de informação para atingir este objetivo. O desafio lançado pela OPT assenta na criação de novas soluções para a interação entre operador e passageiro. Tendo em conta que a OPT está sediada no Porto, a sua área de intervenção por excelência foca-se na Área Metropolitana do Porto (AMP) e, por isso, o projeto focou-se na aquisição de dados desta mesma área para a caracterizar em termos de mobilidade. O estudo tem a AMP como ponto de partida, no entanto, o objetivo é criar uma solução que seja escalável para qualquer cidade. Para analisar o estado da informação ao público na área metropolitana do Porto, procedeu-se ao levantamento da oferta e à realização de um inquérito aos passageiros. Apesar de existir alguma oferta relativamente a aplicações móveis que disponibilizam informação, existem oportunidades de melhoria no contexto da integração de funcionalidades essenciais e user experience. Além disso, a evolução indica uma interação entre os intervenientes de forma a que se possa gerar informação relevante a partir do feedback do utilizador. Desta forma, foi concetualizado um novo modelo de aplicação móvel para os transportes públicos. O objetivo é baseado na co-criação de valor para melhorar a qualidade do serviço e permitir uma mobilidade contínua, motivando assim para a utilização dos transportes coletivos. Tendo em conta o potencial comercial deste projeto, reflete-se sobre as estratégias de inovação e negócio tendo por base a otimização dos recursos e o valor para o clienteMestrado em Engenharia e Gestão Industria