Stations as Nodes:

At the main point of intersection between the railway and the city, stations are key elements in the organization of the intermodal transport as well as catalysts of urban developments in metropolises, medium and small cities. The focus of this publication is to explore the enrichment of a renewed approach of railway stations as intermodal nodes, therefore acting as breeding grounds for both urban and social developments. This book has been initiated and built upon several activities currently running at the Amsterdam Institute for Advanced Metropolitan Solutions (AMS Institute), Delft University of Technology (DIMI, Delft Deltas Infrastructure Mobility Initiative and Department of Architecture of the Faculty of Architecture and the Built Environment) and University of Paris-Est (l’École d’Urbanisme de Paris). These activities have been framed within the context of two rapidly developing metropolitan areas: Randstad in the Netherlands and Métropole du Grand Paris in the Ile de France. This volume forms the basis for a research on the ‘role of stations in future metropolitan areas’ with the ambition to link the two countries, learning from their different cities and distinct geographical context through comparable mobility challenges on the levels of the inner city, suburban and peripheral areas. In line with these considerations, in 2018 AMS Institute, TU Delft/ DIMI and the Dutch Embassy in Paris with Atelier Néerlandais organized a successful workshop: ‘Stations of the Future’, in collaboration with La Fabrique de la Cité. Together with Dutch and French planning entities, involving mass transit operators and railway companies, this workshop focused on several case studies in both metropolitan areas to understand the role of station hubs as intermodal nodes. During this joint French-Dutch event that took place in Paris, we spoke on topics like Station as intermodal node, Station as destination and Station as data center, including a debate on the relation between public space and architecture, densification and programming of station areas, pedestrian flows management and the integration of data. Following the Paris workshop, the summer school ‘Integrated Mobility Challenges in Future Metropolitan Areas’ was organised by AMS Institute and Delft University of Technology/DIMI with the collaboration of the ARENA architectural research network, University of Paris-Est and the City of Amsterdam. This 8-day workshop extended the debate among international young professionals, academics and master students by looking at an important rail-metro node in the metropolitan area of the city Amsterdam: Sloterdijk Station – a crucial hub in a bigger urban area for mobility and exchange, and for urban growth. The main question was: which approaches and scenarios can be tested and applied to these intermodal nodes, particularly when dealing with lack of space and growing number of users? The results were four very different plans to improve the Sloterdijk Station area and to make the station a ‘future proof’ intermodal hub. In this publication, invited experts from practice and knowledge institutes in France and the Netherlands share their common experience and draw on specific aspects and problems of conception, management and development of stations. A brief overview of the results of the two initiatives ‘Stations of the Future’ and the summer school ‘Integrated Mobility Challenges in Future Metropolitan Areas’ is here illustrated, accompanied by photo reportages of both events and by a curated reportage of the Amsterdam Sloterdijk station area

Stations as Nodes

At the main point of intersection between the railway and the city, stations are key elements in the organization of the intermodal transport as well as catalysts of urban developments in metropolises, medium and small cities. The focus of this publication is to explore the enrichment of a renewed approach of railway stations as intermodal nodes, therefore acting as breeding grounds for both urban and social developments. This book has been initiated and built upon several activities currently running at the Amsterdam Institute for Advanced Metropolitan Solutions (AMS Institute), Delft University of Technology (DIMI, Delft Deltas Infrastructure Mobility Initiative and Department of Architecture of the Faculty of Architecture and the Built Environment) and University of Paris-Est (l’École d’Urbanisme de Paris). These activities have been framed within the context of two rapidly developing metropolitan areas: Randstad in the Netherlands and Métropole du Grand Paris in the Ile de France. This volume forms the basis for a research on the ‘role of stations in future metropolitan areas’ with the ambition to link the two countries, learning from their different cities and distinct geographical context through comparable mobility challenges on the levels of the inner city, suburban and peripheral areas. In line with these considerations, in 2018 AMS Institute, TU Delft/ DIMI and the Dutch Embassy in Paris with Atelier Néerlandais organized a successful workshop: ‘Stations of the Future’, in collaboration with La Fabrique de la Cité. Together with Dutch and French planning entities, involving mass transit operators and railway companies, this workshop focused on several case studies in both metropolitan areas to understand the role of station hubs as intermodal nodes. During this joint French-Dutch event that took place in Paris, we spoke on topics like Station as intermodal node, Station as destination and Station as data center, including a debate on the relation between public space and architecture, densification and programming of station areas, pedestrian flows management and the integration of data. Following the Paris workshop, the summer school ‘Integrated Mobility Challenges in Future Metropolitan Areas’ was organised by AMS Institute and Delft University of Technology/DIMI with the collaboration of the ARENA architectural research network, University of Paris-Est and the City of Amsterdam. This 8-day workshop extended the debate among international young professionals, academics and master students by looking at an important rail-metro node in the metropolitan area of the city Amsterdam: Sloterdijk Station – a crucial hub in a bigger urban area for mobility and exchange, and for urban growth. The main question was: which approaches and scenarios can be tested and applied to these intermodal nodes, particularly when dealing with lack of space and growing number of users? The results were four very different plans to improve the Sloterdijk Station area and to make the station a ‘future proof’ intermodal hub. In this publication, invited experts from practice and knowledge institutes in France and the Netherlands share their common experience and draw on specific aspects and problems of conception, management and development of stations. A brief overview of the results of the two initiatives ‘Stations of the Future’ and the summer school ‘Integrated Mobility Challenges in Future Metropolitan Areas’ is here illustrated, accompanied by photo reportages of both events and by a curated reportage of the Amsterdam Sloterdijk station area

Integrated Condition Assessment of Subway Networks Using Computer Vision and Nondestructive Evaluation Techniques

Subway networks play a key role in the smart mobility of millions of commuters in major metropolises. The facilities of these networks constantly deteriorate, which may compromise the integrity and durability of concrete structures. The ASCE 2017 Report Card revealed that the condition of public transit infrastructure in the U.S. is rated D-; hence a rehabilitation backlog of $90 billion is estimated to improve transit status to good conditions. Moreover, the Canadian Urban Transit Association (CUTA) reported 56.6 billion CAD in infrastructure needs for the period 2014-2018. The inspection and assessment of metro structures are predominantly conducted on the basis of Visual Inspection (VI) techniques, which are known to be time-consuming, costly, and qualitative in nature. The ultimate goal of this research is to develop an integrated condition assessment model for subway networks based on image processing, Artificial Intelligence (AI), and Non-Destructive Evaluation (NDE) techniques. Multiple image processing algorithms are created to enhance the crucial clues associated with RGB images and detect surface distresses. A complementary scheme is structured to channel the resulted information to Artificial Neural Networks (ANNs) and Regression Analysis (RA) techniques. The ANN model comprises sequential processors that automatically detect and quantify moisture marks (MM) defects. The RA model predicts spalling/scaling depth and simulates the de-facto scene by developing a hybrid algorithm and interactive 3D presentation. In addition, a comparative analysis is performed to select the most appropriate NDE technique for subway inspection. This technique is applied to probe the structure and measure the subsurface defects. Also, a novel model for the detection of air voids and water voids is proposed. The Fuzzy Inference System (FIS), Adaptive Neuro-Fuzzy Inference System (ANFIS), and Monte Carlo Simulation (MCS) are streamlined through successive operations to create the integrated condition assessment model. To exemplify and validate the proposed methodology, a myriad of images and profiles are collected from Montréal Metro systems. The results ascertain the efficacy of the developed detection algorithms. The attained recall, precision, and accuracy for MM detection algorithm are 93.2%, 96.1%, and 91.5% respectively. Whereas for spalling detection algorithm, are 91.7%, 94.8%, and 89.3% respectively. The mean and standard deviation of error percentage in MM region extraction are 12.2% and 7.9% respectively. While for spalling region extraction, they account for 11% and 7.1% respectively. Subsequent to selecting the Ground Penetrating Radar (GPR) for subway inspection, attenuation maps are generated by both the amplitude analysis and image-based analysis. Thus, the deteriorated zones and corrosiveness indices for subway elements are automatically computed. The ANN and RA models are validated versus statistical tests and key performance metrics that indicated the average validity of 96% and 93% respectively. The air/water voids model is validated through coring samples, camera images, infrared thermography and 3D laser scanning techniques. The validation outcomes reflected a strong correlation between the different results. A sensitivity analysis is conducted showing the influence of the studied subway elements on the overall subway condition. The element condition index using neuro-fuzzy technique indicated different conditions in Montréal subway systems, ranging from sound concrete to very poor, represented by 74.8 and 35.1 respectively. The fuzzy consolidator extrapolated the subway condition index of 61.6, which reveals a fair condition for Montréal Metro network. This research developed an automated tool, expected to improve the quality of decision making, as it can assist transportation agencies in identifying critical deficiencies, and by focusing constrained funding on most deserving assets

Robustness of hierarchical spatial critical infrastructure networks

PhD ThesisThe economic state and wellbeing of a nation is dependent upon the critical infrastructure networks that deliver resources, goods and services. However, these are increasingly exposed to a number of hazards, both natural and man-made, which threaten to disrupt their ability to function. It is essential that in order to develop long-term strategic plans of infrastructure provision we are able to understand their current robustness to such hazards. The robustness of critical infrastructure networks has typically been investigated from a topological perspective as a means of simplifying the complexities associated with their analysis. Such work has led to many studies suggesting critical infrastructures exhibit a topological structure, from random to exponential degree distributions. However, often such analysis ignores the explicit spatial characteristics of the node and edge assets. Furthermore, the very nature of topological analysis means that flows/movements that take place over such networks cannot be considered. This work addresses these weaknesses by extending traditional topological analysis to consider emergent properties critical infrastructure networks exhibit when considering higher-order connectivity and flows. An analysis of a suite of synthetic networks with a spectrum of topologies alongside real infrastructure spatial networks, in terms of their basic topology and high-order connectivity, shows that a number of critical infrastructure networks seem to be better characterised as hierarchical networks. Subsequent failure modelling reveals that such hierarchical networks responded in a dramatically different manner to perturbations; complete failure occurring approximately 19 and 34 percent sooner for random and targeted failures compared to random networks. Such poor robustness is further exacerbated when flow simulation modelling over the resulting hierarchical networks is undertaken, revealing particular sensitivity to cascading failures from spatial hazards. In light of these results, it is suggested that it is essential to improve the robustness of critical infrastructure networks that exhibit a hierarchical spatial organisation.School of Civil Engineering and Geosciences, Newcastle University

Individual mobility in context: from high resolution trajectories to social behaviour

Understanding human mobility can help creating solutions to society-wide issues, from urban planning and traffic forecasting, to the modelling of epidemics. Existing studies have shown that knowledge on how single individuals take spatial decisions is fundamental for modelling collective mobility patterns. However, individual mobility remains poorly understood, also due to the lack of suitable data. In this thesis, we use novel datasets to characterize and model mobility in relation to other individual aspects: social behaviour, personality, and demographic attributes. Our study focuses on mobility across unprecedented spatial ranges, from ~ 10 m to ~ 10000 Km, and temporal scales, from seconds to years

Automatic object classification for surveillance videos.

PhDThe recent popularity of surveillance video systems, specially located in urban scenarios, demands the development of visual techniques for monitoring purposes. A primary step towards intelligent surveillance video systems consists on automatic object classification, which still remains an open research problem and the keystone for the development of more specific applications. Typically, object representation is based on the inherent visual features. However, psychological studies have demonstrated that human beings can routinely categorise objects according to their behaviour. The existing gap in the understanding between the features automatically extracted by a computer, such as appearance-based features, and the concepts unconsciously perceived by human beings but unattainable for machines, or the behaviour features, is most commonly known as semantic gap. Consequently, this thesis proposes to narrow the semantic gap and bring together machine and human understanding towards object classification. Thus, a Surveillance Media Management is proposed to automatically detect and classify objects by analysing the physical properties inherent in their appearance (machine understanding) and the behaviour patterns which require a higher level of understanding (human understanding). Finally, a probabilistic multimodal fusion algorithm bridges the gap performing an automatic classification considering both machine and human understanding. The performance of the proposed Surveillance Media Management framework has been thoroughly evaluated on outdoor surveillance datasets. The experiments conducted demonstrated that the combination of machine and human understanding substantially enhanced the object classification performance. Finally, the inclusion of human reasoning and understanding provides the essential information to bridge the semantic gap towards smart surveillance video systems

Engineering a Better Future

This open access book examines how the social sciences can be integrated into the praxis of engineering and science, presenting unique perspectives on the interplay between engineering and social science. Motivated by the report by the Commission on Humanities and Social Sciences of the American Association of Arts and Sciences, which emphasizes the importance of social sciences and Humanities in technical fields, the essays and papers collected in this book were presented at the NSF-funded workshop ‘Engineering a Better Future: Interplay between Engineering, Social Sciences and Innovation’, which brought together a singular collection of people, topics and disciplines. The book is split into three parts: A. Meeting at the Middle: Challenges to educating at the boundaries covers experiments in combining engineering education and the social sciences; B. Engineers Shaping Human Affairs: Investigating the interaction between social sciences and engineering, including the cult of innovation, politics of engineering, engineering design and future of societies; and C. Engineering the Engineers: Investigates thinking about design with papers on the art and science of science and engineering practice

Towards Mobility-as-a-Service: a cross-case analysis of public authorities' roles in the development of ICT-supported integrated mobility schemes

Automobiles have become counter-productive. Negative externalities resulting from car use have overcome the social benefits automobiles brought when initially introduced. Having shaped most contemporary transportation systems, the automobility regime is known to be hard to revert from. However, as all path-dependent systems, automobility can be subject to tipping points. Among other elements, the Information and Communication Technologies (ICTs) have enabled the development of new solutions having the potential to support a paradigm shift. At the forefront of ICT-enabled developments, so-called ICT-supported integrated mobility schemes have emerged, encompassing smart transportation cards, Integrated Mobility Platforms and Mobility-as-a-Service, that bundle different transport offers together and aim at providing users with a mobility solution of a level of service competitive with the one provided by private cars, ultimately holding the promise of supporting a shift from vehicle ownership to mobility usership and potentially help unlatching transportation systems from the current automobility lock-in. However, most of those solutions are being proposed by the private sector, which often has different interests than the public sector. While the organization of transport usually falls under the responsibility of public actors, new governance structures are needed in order to make the most out of ICT-supported integrated mobility schemes. Hence, this thesis aims at shedding light on the role that public bodies are playing into the birth of smart cards, integrated mobility platforms and MaaS, and more specifically on the way they are governing their development. A case study strategy was employed in this thesis, where, building on grey literature and semi-structured interviews, the cases of smart cards development in London, integrated mobility platform unfolding in Vienna and Mobility-as-a-Service expansion in Helsinki served as empirical material. Based on a cross-case analysis conducted using governance and socio-technical transition literature, the main findings of this thesis are that (i) public transport authorities and state-owned railway undertakings are usually quite reluctant to ICT-supported integrated mobility schemes brought by external actors and prefer developing those by themselves and stay in control or avoid collaborating; (ii) central governments can act as true enablers by developing visions including strong quantitative targets, showing political support for those solutions, acting as matchmakers between public and private bodies, developing legislation, providing funding and steering, and using network governance to make incumbent regime actors change behaviors; (iii) city governments have a greater role to play by setting stronger quantitative-based visions and stop governing by laissez-faire; (iv) ICT-supported integrated mobility schemes should not be understood as magic bullets and must be combined with demand management policies to be truly effective. By providing thick-descriptions of the nuts and bolts of smart cards, IMP and MaaS development, this thesis contributes to the literature on transport integration, transport governance and socio-technical transitions, and contributes to practice by suggesting fourteen recommendations for public authorities interested in a sustainable and impactful development of ICT-supported integrated mobility schemes