GIS, Industry 4.0, and Sustainability

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Now showing 1 - 4 of 4
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    A Hybrid Genetic Algorithm for Solving the VRP with Pickup and Delivery in Rural Areas
    ( 2023-01-03) Stadler, Timo ; Schrader, Jonas ; Dünnweber, Jan
    In this paper, we present a new Hybrid Genetic Search (HGS) algorithm for solving the Capacitated Vehicle Routing Problem for Pickup and Delivery (CVRPPD) as it is required for public transport in rural areas. One of the biggest peculiarities here is that a large area has to be covered with as few vehicles as possible. The basic idea of this algorithm is based on a more general version of HGS, which we adopted to solve the CVRPPD in rural areas. It also implements improvements that lead to the acceleration of the algorithm and, thereby, to a faster generation of a fastest route. For example, we use a modified form of the 2Opt method. We tested the algorithm on real road data from Roding, a rural district in Bavaria, Germany. Moreover, we designed an API for converting data from the Openrouteservice, so that our algorithm can be applied on real world examples as well.
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    Exploring Food Accessibility and Social Vulnerability in Atlanta, Georgia
    ( 2023-01-03) Vo, Ace ; Plachkinova, Miloslava ; Sai, Ying ; Seal, Kala
    The current study offers an in-depth spatial analysis of food accessibility and social vulnerability in the City of Atlanta, GA. We used the Two-Step Floating Catchment (2SFCA) methodology to develop a food accessibility index (FAI) and combined that with CDC’s social vulnerability index (SVI) to study the most vulnerable population with low food access. Using the 2020 Census data, we identified six main Census tracts where the socially vulnerable residents were affected the most because they had the least access to food within a 15-minute walk or 15-minute drive time in three distinctive regions in Atlanta. Our findings can be used by city officials to provide incentives for improving food access and by organizations looking for suitable regions to place new food-serving sites.
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    Introduction to the Minitrack on GIS, Industry 4.0, and Sustainability
    ( 2023-01-03) Shin, Namchul ; Farkas, Daniel
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    Geographic Information Systems in Information Systems Research - Review and Research Prospects
    ( 2023-01-03) Priefer, Jennifer
    Since historical times, cartographic maps have revealed spatial relations and enabled decisions and processes. Geographic Information Systems (GIS) allow for acquisition, management, analysis, and presentation of geospatial objects. With free geospatial data becoming available through open data policies and an increasing amount of digitally connected objects in the Internet of Things (IoT), GIS are becoming indispensable to Information Systems (IS) research. However, the consideration and relevance of GIS has only been investigated rarely. We examine, how and in which fields of application GIS have been studied in the IS literature and elicit the importance of GIS regarding their design and usage. A systematic literature review leads us to develop four research propositions. Our results indicate that GIS are still an undeservedly underrepresented discipline in IS and should be more theorized, put center-stage in design-oriented research, and considered for creating superior value co-creation in service systems.