北九州市における低炭素都市モビリティデザインのための歩行者のプロフィール・活動・環境に関する研究

By understanding the walking experience, the importance of walking in sustainable urban development could be comprehended. A tool for urban planning was proposed so that an urban area could be improved to become a walk-able area.北九州市立大

Exploring attributes, sequences, and time in Recommender Systems: From classical to Point-of-Interest recommendation

Tesis Doctoral inédita leída en la Universidad Autónoma de Madrid, Escuela Politécnica Superior, Departamento de Ingenieria Informática. Fecha de lectura: 08-07-2021Since the emergence of the Internet and the spread of digital communications throughout the world, the amount of data stored on the Web has been growing exponentially. In this new digital era, a large number of companies have emerged with the purpose of ltering the information available on the web and provide users with interesting items. The algorithms and models used to recommend these items are called Recommender Systems. These systems are applied to a large number of domains, from music, books, or movies to dating or Point-of-Interest (POI), which is an increasingly popular domain where users receive recommendations of di erent places when they arrive to a city. In this thesis, we focus on exploiting the use of contextual information, especially temporal and sequential data, and apply it in novel ways in both traditional and Point-of-Interest recommendation. We believe that this type of information can be used not only for creating new recommendation models but also for developing new metrics for analyzing the quality of these recommendations. In one of our rst contributions we propose di erent metrics, some of them derived from previously existing frameworks, using this contextual information. Besides, we also propose an intuitive algorithm that is able to provide recommendations to a target user by exploiting the last common interactions with other similar users of the system. At the same time, we conduct a comprehensive review of the algorithms that have been proposed in the area of POI recommendation between 2011 and 2019, identifying the common characteristics and methodologies used. Once this classi cation of the algorithms proposed to date is completed, we design a mechanism to recommend complete routes (not only independent POIs) to users, making use of reranking techniques. In addition, due to the great di culty of making recommendations in the POI domain, we propose the use of data aggregation techniques to use information from di erent cities to generate POI recommendations in a given target city. In the experimental work we present our approaches on di erent datasets belonging to both classical and POI recommendation. The results obtained in these experiments con rm the usefulness of our recommendation proposals, in terms of ranking accuracy and other dimensions like novelty, diversity, and coverage, and the appropriateness of our metrics for analyzing temporal information and biases in the recommendations producedDesde la aparici on de Internet y la difusi on de las redes de comunicaciones en todo el mundo, la cantidad de datos almacenados en la red ha crecido exponencialmente. En esta nueva era digital, han surgido un gran n umero de empresas con el objetivo de ltrar la informaci on disponible en la red y ofrecer a los usuarios art culos interesantes. Los algoritmos y modelos utilizados para recomendar estos art culos reciben el nombre de Sistemas de Recomendaci on. Estos sistemas se aplican a un gran n umero de dominios, desde m usica, libros o pel culas hasta las citas o los Puntos de Inter es (POIs, en ingl es), un dominio cada vez m as popular en el que los usuarios reciben recomendaciones de diferentes lugares cuando llegan a una ciudad. En esta tesis, nos centramos en explotar el uso de la informaci on contextual, especialmente los datos temporales y secuenciales, y aplicarla de forma novedosa tanto en la recomendaci on cl asica como en la recomendaci on de POIs. Creemos que este tipo de informaci on puede utilizarse no s olo para crear nuevos modelos de recomendaci on, sino tambi en para desarrollar nuevas m etricas para analizar la calidad de estas recomendaciones. En una de nuestras primeras contribuciones proponemos diferentes m etricas, algunas derivadas de formulaciones previamente existentes, utilizando esta informaci on contextual. Adem as, proponemos un algoritmo intuitivo que es capaz de proporcionar recomendaciones a un usuario objetivo explotando las ultimas interacciones comunes con otros usuarios similares del sistema. Al mismo tiempo, realizamos una revisi on exhaustiva de los algoritmos que se han propuesto en el a mbito de la recomendaci o n de POIs entre 2011 y 2019, identi cando las caracter sticas comunes y las metodolog as utilizadas. Una vez realizada esta clasi caci on de los algoritmos propuestos hasta la fecha, dise~namos un mecanismo para recomendar rutas completas (no s olo POIs independientes) a los usuarios, haciendo uso de t ecnicas de reranking. Adem as, debido a la gran di cultad de realizar recomendaciones en el ambito de los POIs, proponemos el uso de t ecnicas de agregaci on de datos para utilizar la informaci on de diferentes ciudades y generar recomendaciones de POIs en una determinada ciudad objetivo. En el trabajo experimental presentamos nuestros m etodos en diferentes conjuntos de datos tanto de recomendaci on cl asica como de POIs. Los resultados obtenidos en estos experimentos con rman la utilidad de nuestras propuestas de recomendaci on en t erminos de precisi on de ranking y de otras dimensiones como la novedad, la diversidad y la cobertura, y c omo de apropiadas son nuestras m etricas para analizar la informaci on temporal y los sesgos en las recomendaciones producida

Integrated Security And Development Simulation Assessment For Counterinsurgency Operations: Is Urbansim An Effective Training Tool For Junior U.S. Army Officers?

Based on the current and recent conflicts in Afghanistan and Iraq, there is a strong need to train junior officers on COIN operations, to include security and development. This involves training to increase knowledge as well as to develop critical decision-making and analytical skills. UrbanSim is a serious game that has been developed recently to meet this need. UrbanSim’s original intent was to train Battalion commanders; however, it can also be of great benefit to train junior officers. UrbanSim trains users by utilizing specific training scenarios based on real-world situations faced by military leaders deployed to COIN environments. Research and experimental results from this study show that UrbanSim can improve the COIN knowledge and decision-making and analytical skills of junior Army officers beyond what is currently being taught at the Maneuver Captain’s Career Course (MCCC). In addition, the junior officers in this study recommended that UrbanSim be implemented Army-wide to train junior officers at the company and battalion level. If this is done, it will help junior officers in the U.S. Army to be better prepared for current and future conflicts in COIN environments. The following hypothesis was developed, tested, and accepted as a result of the research for this thesis: H:O = The use of UrbanSim does not improve company grade officers’ application of counterinsurgency skills, to include security and development, above that of the standard Program of Instruction (POI) currently being used at the U.S. Army Maneuver Captain’s Career Course. To conduct this experiment, forty participants from the Maneuver Captains Career Course were selected to test UrbanSim. A Situational Judgment Test was used to test for improvements in COIN application and results were tested with a Students T-Test and ANOVA. Additionally short answer questionnaires and After Action Reviews were conducted to measure qualitative input

LIPIcs, Volume 277, GIScience 2023, Complete Volume

LIPIcs, Volume 277, GIScience 2023, Complete Volum

Exploring Service Learning in Study Abroad: An Evaluation of The Umbra Institute’s Urban Spaces Course

Over the proceeding decades, service learning programs combining academic study with community service have been growing in popularity at U.S. institutions of higher education. This growth has been equated to service learning’s ability to assist students with achieving personal and academic goals, as well as broader goals of civic engagement for communities. With these programs occurring in an increasingly interconnected world, that is also seeing growth in study abroad participation, it is only natural that students would seek out similar service learning opportunities in their international destinations. Today more than 80% of students enrolled at The Umbra Institute in Perugia, Italy, participate in one or more of its service learning course offerings each semester. Participation in such offerings can lead to deeper understanding of course content, facilitate long lasting personal transformations, increase global awareness and intercultural understanding, and encourage the development of civic awareness and active citizenship. With higher education directing increased attention to assessment of these service learning outcomes this study proposed the following question: In a global world, how can international service learning initiatives be better developed to capture the values and expectations of its stakeholders? To answer this question, The Umbra Institute’s ESUS 310: Urban Spaces: Rebuilding Community in Perugia course was utilized as a case study. In this multidisciplinary study, research examined literature and studies on service learning, international service learning, civic education, global citizenship, and community relationships

Access beyond geographic accessibility: understanding opportunities to human needs in a physical-virtual world

Access to basic human needs, such as food and healthcare, is conceptually understood to be comprised of multiple spatial and aspatial dimensions. However, research in this area has traditionally been explored with spatial accessibility measures that almost exclusively focus on just two dimensions. Namely, the availability of resources, services, and facilities, and the accessibility or ease to which locations of these opportunities can be reached with existing land-use and transport systems under temporal constraints and considering individual characteristics of people. These calculated measures are insufficient in holistically capturing available opportunities as they ignore other components, such as the emergence of virtual space to carry out activities and interactions enabled by modern information and communication technologies (ICT). Human dynamics today exist in a hybrid physical-virtual space, and recent research has highlighted the importance of understanding ICT, individual behavior, local context, social relations, and human perceptions in identifying opportunities available to people. However, there lacks a holistic approach that relates these different aspects to access research. This dissertation addresses this gap by proposing a new conceptual framework for the geography of access for various kinds of human needs, using food access as a case study to illustrate how the proposed framework can be applied to address critical societal issues. An interactive multispace geographic information system (GIS) web application is developed to better understand and visualize individual potential food access based on the conceptual framework. This dissertation contributes to the body of research with a proposed conceptual framework of access in a hybrid physical-virtual world, integration of various big and small data sources to reveal information relating to the access of people, and novel development of a multi-space GIS to analyze and visualize access to opportunities

Expanding Opportunities for Single Parents through Housing. Guidelines for New and Existing Housing and Neighborhoods that Meet the Needs of Single-Parent Families.

Supported by the Center for Urban and Regional Affairs, University of Minnesota, and the Minnesota Association of Women in Housing

AWARENESS OF PRIVILEGE AND OPPRESSION SCALE-2: CONSTRUCTION AND INITIAL VALIDATION

The purpose of this study was to revise the Awareness of Privilege and Oppression Scale (Montross, 2003) and to improve upon the psychometric properties of the original instrument. The APOS-2 is a diversity training outcome measure that is designed to measure the social justice-related construct awareness of privilege and oppression. I retained 26 items from the original APOS (Montross, 2003) and utilized an expert focus group to generate new test items for the APOS-2. Feedback from an expert rater group was solicited and then incorporated into the APOS-2 to help reduce the number of items, improve item content, and evaluate content validity. The newly revised scale was then administered to a combined sample of 484 undergraduate students at a large public university through an internet-based survey. Item-analysis procedures and an exploratory factor analysis (EFA) with direct oblim oblique rotation were utilized to further reduce the number of items and then determine the psychometric properties of the final solution. The EFA of the APOS-2 data provided support for the theoretical four-factor solution. The observed Cronbach alpha reliability estimates for the final 40-item total score and subscale scores were as follows: Total score (.92), Awareness of Heterosexism (.84), Awareness of Sexism (.73), Awareness of Classism (.84), and Awareness of Racism (.86). The APOS-2 correlated low and positively (r = .29) with a measure of openness to diversity and negatively and close to zero (r = -.10) with a social desirability measure. These collective data suggest the APOS-2 may be a viable alternative to the original APOS with a stronger initial effort to link item content to the extant literature, improved subscale reliability estimates, continued support for the use of the theoretically derived subscales, and a predictable relationship with measures of convergent and discriminant validity

Crime Prevention Through Environmental Design in the Bancroft Neighborhood.

Prepared for the Bancroft Neighborhood Association, 612/724-5313. Sponsored by Neighborhood Planning for Community Revitalization, Center for Urban and Regional Affairs, University of Minnesota