TU Delft Open Access Journals
Not a member yet
3113 research outputs found
Sort by
My Photostory, Your Photostory, Our Neighbourhood: Photography with Captions in the Participatory Urban Regeneration Process
Get PDFComprehensive urban regeneration pays special attention to the needs and aspirations of the users that are already present in the spaces to be regenerated, however new participatory tools are needed. The paper illustrates concrete fieldwork in an older neighbourhood in Ljubljana, Slovenia, where the photovoice was used to experiment with new ways of integrating residents’ notions of spaces. The paper describes the experimental process that aims to develop an operational approach to integrate the opinions of residents into the regeneration process. It discusses the methodological approach and issues of the interpretation of the individual points of view expressed through the photography and the captions. The shared values of the community are pointed out as an important base to interpret the individuals’ notions within the broader context of the non-homogeneous community where the opinions differ among its members, but a common ground is anticipated for the needs of urban planning. The paper addresses the issue of emergent property and its role in community-based neighbourhood renewal. It also encourages further experimentation with new and innovative tools for participatory urban planning where different voices must not be lost but nurtured
Placing Urban Writings. Narrative Technology and Possible Futures for the European City: Working Group 1
No full textThe essay departs from the question: How can stories be used for the development of cities?
In response, a theoretical framework is delineated that recognizes the built environment as a model that is both telic (a vision of a possible future) and technical (the means required to attain that future). By adopting this framework, the essay approaches the city at the scale of everyday, ordinary planning, rather than at the scale of ‘cosmic crisis’.
In line with that approach, the essay shows how stories can be useful to develop cities given their ability to encourage and foster sympatry, understood as the quality of environments where different (even adversarial) species coexist. Different individuals simultaneously use and offer different resources to the environment they share, and some of these resources fall within the category of ‘understanding’. This final category is captured in a series of micro-narratives about the city, which are then evaluated in relation to three distinct technologies that can be seen as common to buildings and stories, namely: sense, sequence and proportion. 
Kamza and Tirana: A Travel Captured in Correspondence. The Planned, the Unplanned, and Everything in Between
No full textThe text offers a glimpse into the conversation between two of the three organizers behind the training school titled ‘The Planned, the Unplanned, and Everything in Between’ held in Tirana and Kamza in March 2023. Three months before the training school, the two correspondents, Willie, visiting Albania for the first time through an STSM, and Dorina, temporarily located in the Netherlands, exchange daily thoughts aiming to interpret the two cities’ urban situations and sociopolitical conditions. Albania’s historical position at the edge of Europe has seen a remarkable shift in recent times, turning into an emerging discovery. Simultaneously, a burgeoning self-awareness of subverting narratives of representation has begun to take root among the Albanian youth – a phenomenon that adds depth and complexity to the ongoing dialogue. The transformation of the cities and the country is explained as multivocal while acknowledging protests, loss and destruction as part of a glorified urban project. 
Revisiting periurban water (in)security in South Asia
Get PDFThe Sixth Assessment Report (AR6) of the Intergovernmental Panel on Climate Change (IPCC) has identified periurban development as one of the major drivers of climate risk on vulnerable communities. At the same time, ‘grand challenges’ such as the Covid pandemic and urban–rural contestations create a new imperative for renewed attention to issues of periurban water insecurity by drawing attention to living conditions in periurban spaces where people live in crowded and often informal settlements with inadequate access to safe water. Understanding periurban water insecurity requires paying attention to the dynamic processes of change characterising periurban spaces that make access to water in periurban spaces uncertain and fluctuating. Rather than focus on quantitative indicators of periurban water insecurity or assume that reclassification of jurisdiction status will improve periurban water security, action research with robust partnerships across academia, government and civil society organisations should inform approaches to improve water governance in periurban spaces
Performance of flood defences in the Netherlands during the 2021 Summer floods
Get PDFDuring the July 2021 Flood, the main flood defences along the River Meuse in the Netherlands performed well and did not breach. This paper provides an overview and description of the reported incidents related to flood defences, including a few breaches in minor flood defences. The incidents include overflow of embankments, sand boils, internal erosion at structures, and damage to a large weir and an outflow structure. Also, two local flood defences breached: an emergency embankment at Horn and an embankment in Roermond. During the event, the media reported on a dike breach at Meerssen/Bunde, however, after further investigation, it appeared that the concentrated outflow there was fuelled from a forgotten buried culvert.
 
Rapid damage assessment caused by the flooding event 2021 in Limburg, Netherlands
Get PDFThe floods in the Netherlands in the summer of 2021 led to severe economic damage and losses in the affected area. A first estimate in September 2021 showed that more than 2,500 houses, more than 5,000 inhabitants and around 600 businesses were affected. Using the Dutch standard Flood Damage and Loss Model (SSM2017), and based on figures from international literature, the total damage in the Netherlands is estimated in the order of € 350 – 600 million. Physical damage to houses and businesses, business interruption, damage to infrastructure and crop losses were the most substantial. The differences in damage to individual structures (residential and commercial) were large. The estimated damage in the affected area is clearly larger than for the Meuse river floods in 1993 and 1995 which occurred in the same region (converted to 2021 prices: around € 200 million and € 125 million, respectively, excluding damage due to business interruption). It is important to note that the largest damages and losses in 2021 occurred the smaller regional rivers, mainly in the Geul floodplain, while in 1993 and 1995 most damage and losses were recorded in the Meuse floodplain.
This paper aims to improve the preliminary damage estimates made right after the floods in 2021 by comparing them with actual damage reports from insurance companies and information acquired for the implementation of the national Act “Compensation of damage due to disasters” (WTS). We conclude that the value of the damage is about € 400 - 500 million, which is in line with the initial estimate. It is however seen that there is a gap between the assessments of damage by experts and the damage as perceived by citizens and companies
The futures of the air transportation system: automated foresight scenarios generation and analysis
Get PDFThe aviation sector needs to face multiple challenges, whether to mitigate its environmental impact, recover from the sanitary crisis, or satisfy its customers. This paper presents a foresight tool to help make decisions considering possible futures. It is designed to automatically and exhaustively generate all the possible futures of a system of agents, based on a formal model to define the system and its components along with the interactions between them. It is applied to the air transport system and the questions an airline company could ask itself. It aims to limit the impacts of past data and cognitive biases of participants with classic scenario production methods while using qualitative data. As principles of the agents of the system are considered, it adds a new perspective to make decisions and enables us to consider a notion of moral conflict. In fact, the analysis of generated scenarios shows that reaching a goal may require making a compromise between principles or defining priorities. It also shows that an agent, whatever decisions they can make, may face conflict situations because of other agents. The representations of the results allow a better understanding of the situation and analyses of the initial knowledge.
[Poster] Classification of Holdings in Flights Arriving at Dubai International Airport (DXB) in One Year
No full textThe purpose of this study was to use a machine-learning approach for the classification of holdings for all flights arriving at Dubai International Airport (IATA DXB) in a period of one year. The study used data from ADS-B for all flights arriving and departing DXB for the period 15 February 2018 and 15 February 2019. For all 189,999 arrivals analyzed, it was identified the Standard Terminal Arrival Route (STAR) flown, the occurrence of holdings, the aircraft flying (for the determination of wake turbulence category), the visibility, and data related to the interception of a circle centered around DXB with a radius of 50 NM (geographical position, number of aircraft entering the circle for several time windows, number of aircraft flying within this circle etc), along with the number of aircraft taking-off and landing during a given time period. These features were tested, in different combinations, to determine their impact on metrics used to evaluate the classifier output quality. After running classifiers designed with different algorithms and combinations of features, it was identified the one which, with the CatBoost algorithm, gave the best F1 (0.777), Precision (0.847) and Accuracy (0.912) for a period of 10 minutes after interception. The F1 increased to 0.85 when the altitude and the speed at the interception of the circle were included as features, but they were discarded as they introduced an undesirable bias in the final model
[Poster] Spatial modelling of midair collision risk using ADS-B data
No full textThe airspace environment is a complex system that is only expected to continue increasing in complexity with the introduction of new types of air vehicles and operations, such as uncrewed aircraft, and the projected growth of air traffic volumes. This increase in complexity brings a need for investigating and developing new models of complex airspace environments to better understand their constituent parts. To address this need, this paper presents a methodology to create a geospatial model of complex airspace environments which can be used to study any geospatially distributed entity part of these environments. The methodology leverages Discrete Global Grid Systems (DGGS) for this purpose, a Geographic Information Systems framework previously utilized in geography and urban planning. The usefulness of the model is demonstrated on a case study geospatial entity which is the risk of midair collisions for many geospatially distributed points in an airspace region of interest. Since such a model needs to be able to work for any type of air vehicle and airspace region in a fully three-dimensional model that is capable of performing time varying analysis in a computationally efficient manner, a rudimentary midair collision risk model was also developed which satisfies these requirements. Air traffic data from the OpenSky Network was collected and integrated in the geospatial model and the midair collision risk model was used to calculate the risk of collisions for many geospatially distributed points in the airspace for four scenarios of ascending airspace complexity. The results from these four scenarios showed that the proposed methodology can be used to study the risk of midair collisions for different points in the airspace for any type of air vehicle and airspace region of interest in a fully three-dimensional model that is capable of performing time varying analysis in a computationally efficient manner.
 
A First Look at Exploiting the Automatic Dependent Surveillance-Contract Protocol for Open Aviation Research
Get PDFThe OpenSky Network has accumulated air traffic data for research for over a decade, with sensor registrations increasing from a few to over 6000. Recent enhancements have included the addition of data sources such as Mode S, FLARM, and VHF to the initial collection, which started only with the Automatic Dependent Surveillance - Broadcast (ADS-B) technology. However, the growth of the crowdsourced network has predominantly occurred in developed nations, leaving extensive inhabited regions, but also remote areas such as oceans and mountains, with lacking coverage.
To address this issue, the deployment of Automatic Dependent Surveillance - Contract (ADS-C) technology offers a potential remedy. ADS-C is an advanced surveillance system that utilizes an aircraft\u27s onboard systems to automatically transmit crucial information, including position, altitude, speed, navigation intentions, and meteorological data. Different from ADS-B, ADS-C transmits contract data via satellite to specific Air Traffic Services Units (ATSU) or Aeronautical Operational Control (AOC) facilities, contributing to a more comprehensive and global approach to air traffic monitoring.
In this paper, we describe the background of ADS-C and implement a resource-intensive data collection. We analyse 227,126 messages collected over 4 months and find that they can be an excellent complementary data source for researchers working with aviation data