Training of Crisis Mappers and Map Production from Multi-sensor Data: Vernazza Case Study (Cinque Terre National Park, Italy)

This aim of paper is to presents the development of a multidisciplinary project carried out by the cooperation between Politecnico di Torino and ITHACA (Information Technology for Humanitarian Assistance, Cooperation and Action). The goal of the project was the training in geospatial data acquiring and processing for students attending Architecture and Engineering Courses, in order to start up a team of "volunteer mappers". Indeed, the project is aimed to document the environmental and built heritage subject to disaster; the purpose is to improve the capabilities of the actors involved in the activities connected in geospatial data collection, integration and sharing. The proposed area for testing the training activities is the Cinque Terre National Park, registered in the World Heritage List since 1997. The area was affected by flood on the 25th of October 2011. According to other international experiences, the group is expected to be active after emergencies in order to upgrade maps, using data acquired by typical geomatic methods and techniques such as terrestrial and aerial Lidar, close-range and aerial photogrammetry, topographic and GNSS instruments etc.; or by non conventional systems and instruments such us UAV, mobile mapping etc. The ultimate goal is to implement a WebGIS platform to share all the data collected with local authorities and the Civil Protectio

EXPLORING THE POTENTIAL FOR GEOGRAPHIC TRANSPORTATION MODELING TO IMPROVE FOOD ASSISTANCE: A CASE STUDY OF THE MISSOULA FOOD BANK

Over the last ten years, the Missoula Food Bank has seen a greater need for its services leading to funding shortfalls. To meet the needs of an increasing number of clients with a limited budget, the Missoula Food Bank must look for ways to modify its operations while increasing efficiency of its services. As the Food Bank budget is used to acquire food and currently also transport it from warehouse locations to the food pantry in a crowded space, reducing distances and transport cost of hauling food would in turn free up funds to obtain more food. At the same time, the Food Bank needs to operate from a central location that can be readily accessed by its clients. The primary objective of this thesis is to explore whether the current or an alternative location would be better for operating the food bank in order to provide the greatest level of access to food bank clients. To accomplish this, GIS-based facility location modeling is employed using the p-median approach and incorporating a variety of scenarios. Geographically, scenarios include the entire county as well as a smaller area centered on the Missoula urban area. Socio-demographically, location models are run without taking populations into account (unweighted), by using population weight, and by weighting for poor and very poor households. Separate sets of models include and exclude the current food bank location as a candidate site. Whether for the entire Missoula county or the smaller urban areas, whether with or without socio-demographic weights, the facility location models identify the same sites as most accessible based on minimal average costs of access to clients. The findings of this thesis help to inform the discussion about ways to improve services designed to eradicate community food insecurity, and contribute to broadening the use of GIS to advance the efficiency of social services

Municipal solid-waste collection and disposal management using geospatial techniques in Maseru City, Lesotho

The use of geospatial techniques plays a crucial role in solid waste management. Collection and transportation of solid waste must be done in an efficient manner to avoid negative environmental impacts. At the time of study, there are no collection and routing system in Maseru City, leading to haphazard collection and disposal of Municipal Solid Waste (MSW). The aims of the study are: (i) To get an understanding and address the challenges faced by relevant stakeholders in solid waste management for Maseru City, (ii) To minimize adverse environmental impacts due to unscientific location of a disposal site and (iii) To minimize transportation costs and time during collection. The objectives of this study are summarized in the following: assess the current solid waste management, model suitable disposal/dump sites, determine MSW collection points and develop an optimal route for MSW collection and disposal in Maseru City. To assess the current solid waste management, 130 households, 73 community waste pickers, 15 Maseru City Council (MCC) management staff and 3 drivers were interviewed, and relevant data collected. Both primary and secondary data collection methods were used. Primary data collection methods included interviews, questionnaires and observations and creating feature classes in a geo database. Secondary data collection was done from relevant government repositories, digitization, and internet web sites. Simple random, area, cluster, and convenience sampling techniques were applied. Geographical Information Systems (GIS) and Remote sensing techniques were used to carry out suitability and network analysis, and location of MSW collection points. The study found out that the dump site (Ts'osane) was used by MCC and was not suitably located, hence more suitable alternative dump sites have been proposed. However, Ts'osane dump site was adopted in the analysis as it is the one used by MCC at the time of study. The researcher also found out that there were no designated MSW collection points and optimal routes, and that solid waste collection was done by both MCC and CBOs. In this regard, 334 collection points have been determined based on population and generated solid waste per Constituency and were randomly located in the study area. However, due to the policy that within 25m from the road no development could take place, only collection points which fell v within 25m from the road were selected and used in the routing analysis. One truck was used in the analysis, although more trucks could be used as it was at the time of study. For future research, there is a need to research on policy so that criteria for locating solid waste disposal and location of collection points is explicitly specified in the law to be able to conduct scientific analyses. A multi modal network analysis that would include all the vehicles used by MCC and the CBOs to develop a comprehensive network analysis that would also include necessary attributes such as road names, type, class, and length is needed

Crowdsensing-driven route optimisation algorithms for smart urban mobility

Urban rörlighet anses ofta vara en av de främsta möjliggörarna för en hållbar statsutveckling. Idag skulle det dock kräva ett betydande skifte mot renare och effektivare stadstransporter vilket skulle stödja ökad social och ekonomisk koncentration av resurser i städerna. En viktig prioritet för städer runt om i världen är att stödja medborgarnas rörlighet inom stadsmiljöer medan samtidigt minska trafikstockningar, olyckor och föroreningar. Att utveckla en effektivare och grönare (eller med ett ord; smartare) stadsrörlighet är en av de svåraste problemen att bemöta för stora metropoler. I denna avhandling närmar vi oss problemet från det snabba utvecklingsperspektivet av ITlandskapet i städer vilket möjliggör byggandet av rörlighetslösningar utan stora stora investeringar eller sofistikerad sensortenkik. I synnerhet föreslår vi utnyttjandet av den mobila rörlighetsavkännings, eng. Mobile Crowdsensing (MCS), paradigmen i vilken befolkningen exploaterar sin mobilkommunikation och/eller mobilasensorer med syftet att frivilligt samla, distribuera, lokalt processera och analysera geospecifik information. Rörlighetavkänningssdata (t.ex. händelser, trafikintensitet, buller och luftföroreningar etc.) inhämtad från frivilliga i befolkningen kan ge värdefull information om aktuella rörelsesförhållanden i stad vilka, med adekvata databehandlingsalgoriter, kan användas för att planera människors rörelseflöden inom stadsmiljön. Såtillvida kombineras i denna avhandling två mycket lovande smarta rörlighetsmöjliggörare, eng. Smart Mobility Enablers, nämligen MCS och rese/ruttplanering. Vi kan därmed till viss utsträckning sammanföra forskningsutmaningar från dessa två delar. Vi väljer att separera våra forskningsmål i två delar, dvs forskningssteg: (1) arkitektoniska utmaningar vid design av MCS-system och (2) algoritmiska utmaningar för tillämpningar av MCS-driven ruttplanering. Vi ämnar att visa en logisk forskningsprogression över tiden, med avstamp i mänskligt dirigerade rörelseavkänningssystem som MCS och ett avslut i automatiserade ruttoptimeringsalgoritmer skräddarsydda för specifika MCS-applikationer. Även om vi förlitar oss på heuristiska lösningar och algoritmer för NP-svåra ruttproblem förlitar vi oss på äkta applikationer med syftet att visa på fördelarna med algoritm- och infrastrukturförslagen.La movilidad urbana es considerada una de las principales desencadenantes de un desarrollo urbano sostenible. Sin embargo, hoy en día se requiere una transición hacia un transporte urbano más limpio y más eficiente que soporte una concentración de recursos sociales y económicos cada vez mayor en las ciudades. Una de las principales prioridades para las ciudades de todo el mundo es facilitar la movilidad de los ciudadanos dentro de los entornos urbanos, al mismo tiempo que se reduce la congestión, los accidentes y la contaminación. Sin embargo, desarrollar una movilidad urbana más eficiente y más verde (o en una palabra, más inteligente) es uno de los temas más difíciles de afrontar para las grandes áreas metropolitanas. En esta tesis, abordamos este problema desde la perspectiva de un panorama TIC en rápida evolución que nos permite construir movilidad sin la necesidad de grandes inversiones ni sofisticadas tecnologías de sensores. En particular, proponemos aprovechar el paradigma Mobile Crowdsensing (MCS) en el que los ciudadanos utilizan sus teléfonos móviles y dispositivos, para nosotros recopilar, procesar y analizar localmente información georreferenciada, distribuida voluntariamente. Los datos de movilidad recopilados de ciudadanos que voluntariamente quieren compartirlos (por ejemplo, eventos, intensidad del tráfico, ruido y contaminación del aire, etc.) pueden proporcionar información valiosa sobre las condiciones de movilidad actuales en la ciudad, que con el algoritmo de procesamiento de datos adecuado, pueden utilizarse para enrutar y gestionar el flujo de gente en entornos urbanos. Por lo tanto, en esta tesis combinamos dos prometedoras fuentes de movilidad inteligente: MCS y la planificación de viajes/rutas, uniendo en cierta medida los distintos desafíos de investigación. Hemos dividido nuestros objetivos de investigación en dos etapas: (1) Desafíos arquitectónicos en el diseño de sistemas MCS y (2) Desafíos algorítmicos en la planificación de rutas aprovechando la información del MCS. Nuestro objetivo es demostrar una progresión lógica de la investigación a lo largo del tiempo, comenzando desde los fundamentos de los sistemas de detección centrados en personas, como el MCS, hasta los algoritmos de optimización de rutas diseñados específicamente para la aplicación de estos. Si bien nos centramos en algoritmos y heurísticas para resolver problemas de enrutamiento de clase NP-hard, utilizamos ejemplos de aplicaciones en el mundo real para mostrar las ventajas de los algoritmos e infraestructuras propuestas

Readiness registries: improving the effectiveness of state access and functional needs registries

Master of Regional and Community PlanningDepartment of Landscape Architecture/Regional and Community PlanningSusmita RishiPopulations with access and functional needs are a demographic group that requires specific planning and response considerations to ensure their safety during disasters. People with disabilities face greater exposure to physical hazards and are more likely to experience negative social, economic, political and psychological consequences when impacted by disasters (Wolkin, Patterson, Harris, Soler, Burrer, McGeehin and Greene, 2015). People with disabilities, therefore, are more socially vulnerable when compared to the rest of the population. This social vulnerability is further exacerbated by the higher rate of poverty and lower level of education experienced by people with disabilities. (American Psychological Association, 2019). A direct consequence of being more socially vulnerable is that people with disabilities reside in areas that are more frequently impacted by hazards correlated to lower housing costs (Hallegatte, Vogt-Schilb, Bangalore and Rozenberg, 2017). Further, on average people with disabilities have lower levels of personal preparedness than people without disabilities (Smith & Notaro, 2009). As a response to the greater level of social vulnerability to disasters and a lack of adequate local and state emergency planning, the Americans with Disabilities Act (ADA) required that those with disabilities are incorporated into emergency plans (Federal Emergency Management, 2010). Collecting basic demographic and location information about people with disabilities is a necessary first step towards more comprehensive emergency planning for people with disabilities. Statewide access and functional needs registries are a government program aimed at collecting information about people with disabilities. The data collected through these registries is intended to be utilized for emergency planning and response services. The intent of a registry varies based upon state emergency management program capabilities, and data collected can be utilized for varied planning and response interventions such as the incorporation into geographic information systems for analysis, situational awareness, priority warning, communication, decision making, evacuation, sheltering and connection of available support and resources. Multiple states have developed access and functional needs registries including Texas, New Jersey, Florida, Utah, Pennsylvania, North Dakota, Rhode Island and Delaware. These registries all have similar concepts but often vary in form and function based upon particularities of statewide needs. Despite the benefits of the information gathered from access and functional needs registries, there are some inherent difficulties in implementation that can potentially impact the overall effectiveness and success of these programs. Some issues can include advertising the program, displaying the importance of voluntarily registering, making the process accessible, ensuring security and privacy of personal information, as well as utilizing the information for the intended purposes. Due to problems similar to ones mentioned above, the access and functional needs registry program in Kansas was discontinued a few years after development, and state initiatives were redirected towards other projects. The problems faced in Kansas with the implementation of the access and functional needs registry program need to be mitigated to improve the success of the program and ensure maximum effectiveness. Through an analysis of the Texas, Florida and New Jersey access and functional needs registries, the report gathers insight into their utilization, challenges faced and perspectives, that will help identify potential variables that could impact the program’s effectiveness. Once identified, these inherent issues with access and functional needs registries can be mitigated so the effectiveness, success and benefits provided by these registries can be utilized for the integration into emergency plans and to help create an environment for an inclusive planning process involving some of the most vulnerable populations in the state of Kansas

Geoinformatics in Citizen Science

The book features contributions that report original research in the theoretical, technological, and social aspects of geoinformation methods, as applied to supporting citizen science. Specifically, the book focuses on the technological aspects of the field and their application toward the recruitment of volunteers and the collection, management, and analysis of geotagged information to support volunteer involvement in scientific projects. Internationally renowned research groups share research in three areas: First, the key methods of geoinformatics within citizen science initiatives to support scientists in discovering new knowledge in specific application domains or in performing relevant activities, such as reliable geodata filtering, management, analysis, synthesis, sharing, and visualization; second, the critical aspects of citizen science initiatives that call for emerging or novel approaches of geoinformatics to acquire and handle geoinformation; and third, novel geoinformatics research that could serve in support of citizen science