The time to treatment plays a major factor in recovery for stroke patients, and simulation techniques can be valuable tools for testing healthcare policies and improving the situation for stroke patients. However, simulation requires individual-level data about stroke patients which cannot be acquired due to patient’s privacy rules. This thesis presents a hybrid simulation model for generating a synthetic population of stroke patients by combining Agent-based and microsimulation modeling. Subsequently, Agent-based simulation is used to estimate the locations where strokes happen. The simulation model is built by conducting the Design Science research method, where the simulation model is built by following a set of steps including data preparation, conceptual model formulation, implementation, and finally running the simulation model. The generated synthetic population size is based on the number of stroke events in a year from a Poisson Point Process and consists of stroke patients along with essential attributes such as age, stroke status, home location, and current location. The simulation output shows that nearly all patients had their stroke while being home, where the traveling factor is insignificant to the stroke locations based on the travel survey data used in this thesis and the assumption that all patients return home at midnight.

The lack of legitimate datasets on mobile money transactions toperform research on in the domain of fraud detection is a big prob-lem today in the scientic community. Part of the problem is theintrinsic private nature of mobile transactions, not much infor-mation can be exploited. This will leave the researchers with theburden of rst harnessing the dataset before performing the actualresearch on it. The dataset corresponds to the set of data in whichthe research is to be performed on. This thesis discusses a solutionto such a problem, namely the Paysim simulator. Paysim is a -nancial simulator that simulates mobile money transactions basedon an original dataset. We present a solution to ultimately yieldthe possibility to simulate mobile money transactions in such a waythat they become similar to the original dataset. The similarity orthe congruity will be measured by calculating the error-rate betweenthe synthetic data set and the original data set. With technologyframeworks such as "Agent Based" simulation techniques, and theapplication of mathematical statistics, it can be demonstrated thatthe synthetic data is as prudent as the original data set. The aimof this thesis is to demonstrate with statistical models that PaySimcan be used as a tool for the intents of nancial simulations.

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This paper analyzes how an agent-based simulation model of Stockholm can be used for water transitplanning. A new route for commuters by boat was added to the model of Stockholm’s existingtransport system and evaluated. By comparing results from the model and statistic data fromTrafikförvaltningen Region Stockholm during the morning rush-hour, a scale factor was calculated.The scale factor was later used to adjust the number of travelers on the added new water transit routeas the model underestimate the number of persons who use the available public transport by boat. Thelarge size of the calculated factor made the results uncertain when trying to predict any effects the newroute would have, e.g. on congestion in the system. Simulations of the new transit line resulted in amajority of short trips, between stations were the other public transit options took longer routes. Thetransit stops close to the city centre were used the most and most trips were conducted between them.To gain an improved ability to simulate water transit, continued studies of people’s preferencesregarding mode choice appear to be crucial.

京都大学 / 新制・課程博士 / 博士(工学) / 甲第24217号 / 工博第5045号 / 新制||工||1788(附属図書館) / 京都大学大学院工学研究科都市社会工学専攻 / (主査)教授 山田 忠史, 教授 藤井 聡, 准教授 SCHMOECKER Jan-Dirk / 学位規則第4条第1項該当 / Doctor of Philosophy (Engineering) / Kyoto University / DFAM

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No description available.

京都大学 / 新制・課程博士 / 博士(経済学) / 甲第23665号 / 経博第648号 / 新制||経||300(附属図書館) / 京都大学大学院経済学研究科経済学専攻 / (主査)教授 COLPAN Meziyet Asli, 教授 関口 倫紀, 教授 山田 仁一郎 / 学位規則第4条第1項該当 / Doctor of Economics / Kyoto University / DGAM

With the world’s population moving to urban areas due to an increase in population and employment opportunities, e-commerce businesses need to drastically improve logistics to levelwith the eruptive demand from the customers. This expands an already major need to undertake a study on urban logistics management to highlight its best practices. The most sustainable means of “End mile delivery” is a cargo bike, but this operation is limited to selective areas of the city. This prompts van deliveries to be an integral part of logistics, even for small packages. Major limitations of the cargo bike operation not expanding is the non-consolidation of package and routing issues. This research holistically explores how simulation techniques, such as “Agent-Based Modeling”, can play a vital role in the operational side of logistics management and planning. These models can solve the issues, such as package sorting, for cargo bike riders which are facilitated by a mobile hub. This smart mobile hub operation collaborates with the cargo bikes to ensure a larger geo-fence and higher vehicle utilization. Further study of reverse logistic policies in Stockholm is incorporated in the model, to establish a circular economy. An “ABM”, simulating the daily operation of this new proposed urban logistics, has been developed on AnyLogic®. / I takt med världsbefolkningens förflyttning till städer behöver e-handelsindustrin drastiskt förbättra logistiken för att möta den ständigt ökande efterfrågan hos konsumenter. Detta utvidgar ett redan stort behov av studier av stadslogistikhantering för att lyfta fram dess bästa praktiker. Det mest hållbara medlet för ”End mile delivery” är lastcyklar, men de är begränsade till utvalda stadsområden. Således blir skåpbilsleveranser en väsentlig del av logistiken, även gällande mindre paket. Brist på utveckling av lastcyklarnas stora begränsningar är paket- och ruttproblemens icke-konsolidering. Denna forskning utforskar holistiskt hur simulationstekniker, såsom ”Agent-Baserad modellering”, kan spela en väsentlig roll i den operativa sidan av logistik-hantering och planering. Dessa modeller kan lösa lastcyklarnas problem, däribland med paketsorteringen, vilka underlättas med hjälp av ett mobilt nav. Denna smarta mobila-nav-verksamhet samarbetar med lastcyklarna för att säkra ett större geo-fence och högre fordonsutnyttjande. Vidare studie av returlogistik-regelverk i Stockholm är inkorporerad i modellen, för att etablera en cirkulärekonomi. En ”ABM”, som simulerar den dagliga driften av denna nya föreslagna stadslogistik, har blivit utvecklad på AnyLogic®.

This report investigates how the construction and query time of multiple spatial partitioning data structures is impacted by spatial distribution of and number of agents in a crowd simulation. In addition a method is investigated for updating the data structures less frequently at the cost of increasing the radius queried, without affecting the correctness of the queries. The data structures are tested in a simulation using a Boids model and update and query times are measured. It is found that the performance of the grid is better than the quad tree and the kd- tree for low number of agents, but deteriorates more quickly when the number of agents increase. It is also found that this approach can decrease the sum of time spent updating and the time spent querying in the simulation. The effectiveness of this method is highly dependent on the update of the data structure. / Denna rapport undersöker hur konstruktion och grannsökning av flera datastrukturer för spatial partitionering påverkas av spatial fördelning av simuleringens agenter och antal agenter i simuleringen. Dessutom undersöks en metod för att uppdatera datastrukturerna mindre ofta, på bekostnad av att utöka grannsökningens radie, utan att påverka grannsökningens korrekthet. Datastrukturerna testas i en simulering baserad på Boids och uppdaterings- och frågetider för datastrukturerna mäts. Det visar sig att prestandan av grid är bättre än prestandan av quad tree och kd- tree för ett litet antal agenter, men att prestandan för grid försämras snabbare när antalet agenter ökar. Dessutom visar sig denna metod kunna ge en minskning i den totala tiden som går åt till att göra grannsökningar och uppdateringar av datastrukturen. Hur effektiv denna metod är beror i hög grad på hur lång uppdateringstiden är för den använda datastrukturen.