Searched for: subject%3A%22crowd%22
(1 - 20 of 77)

Pages

document
Hwang, Sun Ah (author)
To every rise and fall of nations, crowds were vital. They could appear in the form of armies defending their motherlands or revolutionaries rewriting the courses of history, but they are also vital to political baiting beloved by every ‘big guy’. Crowds also bring in life to the masses; it is the various social spectacles that we (occasionally)...
master thesis 2022
document
Koreman, Romeny (author)
Waiting outside in a long line in front of a music building is not always pleasant. Sometimes concert visitors stand in line for hours and even in the rain. This waiting time and experience are related to the overall experience of the concert night. Therefore, the waiting time should be reduced and the waiting should become more pleasant. To...
master thesis 2022
document
Drabicki, Arkadiusz (author), Kucharski, Rafał (author), Cats, O. (author)
A common problem in public transport systems is bus bunching, characterized by a negative feedback loop between service headways, number of boarding passengers and dwell times. In this study, we examine whether providing real-time crowding information (RTCI) at the stop regarding the two next vehicle departures can stimulate passengers to...
journal article 2022
document
Shelat, S. (author), Cats, O. (author), van Cranenburgh, S. (author)
With a few exceptions, public transport ridership around the world has been hit hard by the COVID-19 pandemic. Travellers are now likely to adapt their behaviour with a focus on factors that contribute to the risk of COVID-19 transmission. Given the unprecedented spatial and temporal scale of this crisis, these changes in behaviour may even...
journal article 2022
document
Rajwade, Sameer (author)
The growth in the e-commerce platforms and online shopping has been increasing exponentially in the last decade. Businesses and logistics companies are finding new ways to ensure fast, sustainable, and safe deliveries to customers through existing means. However, to meet the ever increasing demand of deliveries, innovative shipping or delivery...
master thesis 2021
document
Singh, Jyotsna (author)
Crowding in trains during rush hour is known to cause discomfort. After the outbreak of COVID-19 pandemic, crowding has also been highlighted as a risk factor for catching Acute Respiratory Infections (ARIs) such as COVID-19 which has affected the demand of public transport. Several countries, including the Netherlands, have differential fare...
master thesis 2021
document
Herrewijnen, Wessel (author)
Architectural Design Crossover Graduation Studio final design project. Research paper and graduation design looking into Temporary Intensities and crowd machines in the city of London, resulting in the design of a live music venue with a capacity of 3000 visitors. This design project aims to design this 'crowd machine' as being part of a 'crowd...
master thesis 2021
document
Kanaris, Orestis (author)
The rise in the use of crowd computing platforms led to the birth of Dandelion, a conversational crowd computing platform developed at TU Delft with the main goals being to connect students with researchers and to allow students to report on their well-being by using a friendly interface. Dandelion was tested manually up to the time of drafting...
bachelor thesis 2021
document
Feng, Y. (author), Duives, D.C. (author), Daamen, W. (author), Hoogendoorn, S.P. (author)
Collecting pedestrian behaviour data is vital to understand pedestrian behaviour. This systematic review of 145 studies aims to determine the capability of contemporary data collection methods in collecting different pedestrian behavioural data, identify research gaps and discuss the possibilities of using new technologies to study pedestrian...
review 2021
document
Gong, X. (author), Daamen, W. (author), Bozzon, A. (author), Hoogendoorn, S.P. (author)
City events are getting popular and are attracting a large number of people. This increase needs for methods and tools to provide stakeholders with crowd size information for crowd management purposes. Previous works proposed a large number of methods to count the crowd using different data in various contexts, but no methods proposed using...
journal article 2021
document
Yap, M.D. (author), Cats, O. (author)
Many public transport networks worldwide experience high crowding levels. Overcrowding can result in passengers not able to board the first arriving vehicle. We infer how waiting time induced by being denied boarding in crowded public transport systems is valued by passengers, based on observed passenger route choice behaviour. For this purpose,...
journal article 2021
document
van der Wal, C.N. (author), Robinson, Mark A. (author), Bruine de Bruin, Wändi (author), Gwynne, Steven (author)
Emergencies such as fires and terrorist attacks pose risks of injuries and fatalities, which can be exacerbated by delayed, ill-informed, or unmanaged responses. Effective emergency communication strategies could be used to better inform people and reduce these risks. This research analyzes videos of real-world emergencies to: (a) identify...
journal article 2021
document
van der Wal, C.N. (author), Formolo, Daniel (author), Robinson, Mark A. (author), Gwynne, Steven (author)
To improve communication during emergencies, this research introduces an agent-based modeling (ABM) method to test the effect of psychological emergency communication strategies on evacuation performance. We follow a generative social science approach in which agent-based simulations allow for testing different candidate solutions. Unlike...
journal article 2021
document
Peftitsi, Soumela (author), Jenelius, Erik (author), Cats, O. (author)
As travel demand grows in many cities around the world, overcrowding in public transport systems has become a major issue and has many negative effects for both users and operators. Measures to address on-board congestion span from large-scale strategic investments (e.g. increasing infrastructure capacity), through tactical planning (e.g....
journal article 2021
document
Drabicki, Arkadiusz (author), Cats, O. (author), Kucharski, R.M. (author)
Bus bunching is a well-known problem in public transport networks. It is characterized by a self-amplifying relationship between uneven distribution of rising passenger loads and deteriorating service regularity. The focus of this study is to analyse whether this negative feedback loop can be addressed by providing real-time crowding...
conference paper 2021
document
Bakker, Niels (author)
Event managers at large city events use crowd density as a metric in the process of maintaining safety at large scale city events. Identifying the density of crowds at these events relies on expensive physical infrastructure to work well or have limited accuracy. We propose amethod that addresses the gap of not relying on physical infrastructure...
master thesis 2020
document
Godoy, Paula (author)
Predicting crowd movements in real-time during mass events has been shown to be a complex yet valuable task in order to reduce the risk of overcrowding. The aim of this research is to propose and validate a crowd movement forecasting method for which simulation is performed offline (i.e. prior to the event) but the forecast is done online, in...
master thesis 2020
document
Gong, X. (author)
Using social media data, such as Twitter and Instagram, I identify relevant information, develop data models, estimate and analyse crowds’ characteristics in city events, including demographic and city-role composition, Spatial-temporal distribution, sentiment estimation, Points of Interest preferences, word use, crowd size and density...
doctoral thesis 2020
document
van Alphen, Gerard (author)
Crowd-mapping is a relatively new field of research, which involves the collection of geographic data by a crowd of workers. The collection of said data is of great importance for organizations like municipalities, where it is used for applications such as maintaining streets and greenery. The benefit of crowd-mapping over traditional mapping...
master thesis 2020
document
Peftitsi, Soumela (author), Jenelius, Erik (author), Cats, O. (author)
We propose a methodology based on multiple automated data sources for evaluating the effects of station layout, arriving traveler flows, and platform and on-board crowding on the distribution of boarding passengers among individual cars of metro trains. The methodology is applied to a case study for a sequence of stations in the Stockholm...
journal article 2020
Searched for: subject%3A%22crowd%22
(1 - 20 of 77)

Pages