Simulation as Support to evaluate UMP
Context: To provide continuous mobility, municipalities need to rethink the transport system in cities, described in the Urban Mobility Plan (UMP). Problem: Before proposing changes to UMP, it is necessary to evaluate the improvements in relation to the available infrastructure. This can be accomplished through computer simulation. Therefore, one of the major challenges to simulation is data lacking. Solution: This work evaluates changes to UMP and their impacts on urban mobility using different traffic flows, supported by computer simulation. Web information is used to generate lacking data. IS (Information System) Theory: Computer simulation can support the decision making process and allow municipalities evaluating different situations before making changes to the current traffic scenario. Method: Simulation of traffic scenarios using Web information to generate lacking data. The resulting output can support the decision making process. Summary of Results: According to the experiments carried out in the context of this work, considering different traffic scenarios, there was a drop of 4% in CO2, 15% in CO, 10% in HC, 4% in NOX, 5% in fuel consumption and 7% reduction in travel times. Contributions and Impact in the IS area: The main contribution of the article is to enable a technology based on traffic simulation for evaluation of UMP that can provide information and support for decision making process even with the absence of a full dataset.
Hossein Bidgoli. 1989. Decision Support System - Principles and Practice. (1989).
Sergio Manuel Serra da Cruz and Jonice de Oliveira Sampaio. 2018. Using Government Open Government Data Enriched With Provenance To Investigate Urban Mobility. ISys - Revista Brasileira de Sistemas de Informação 11, 2(2018), 91–123.
Hugo da Silveira Ribeiro and Mário Jorge Ferreira de Oliveira. 2004. A Simulação como Ferramenta de Auxílio ao Dimensionamento de Frotas para o Transporte Público Urbano. VII Simpósio de Pesquisa Operacional e Logística da Marinha (2004), 164–177.
European Commission - Directorate-General for the Environment. 2004. Reclaiming city streets for people Chaos or quality of life?Luxembourg: Office for Official Pub. of the European Communities. 52 pages. https://ec.europa.eu/environment/pubs/pdf/streets_people.pdf
Karst T. Geurs, Lissy La Paix, and Sander Van Weperen. 2016. A multi-modal network approach to model public transport accessibility impacts of bicycle-train integration policies. European transport research review 8, 4 (2016), 25.
Vítor Felipe Guedes de Sousa. 2017. Mobilidade Urbana no Centro da Cidade de João Pessoa: uma Proposta sob um Novo Paradigma. In Trabalho de Conclusão de Curso de Graduação, Curso de Graduação em Engenharia Civil, Universidade Federal da Paraíba.
Barbara Lenz and Dirk Heinrichs. 2017. What Can We Learn from Smart Urban Mobility Technologies?IEEE Pervasive Computing 16, 2 (2017), 84–86. https://doi.org/10.1109/MPRV.2017.27
Maria Morfoulaki, Evangelos Mitsakis, Katerina Chrysostomou, and Iraklis Stamos. 2011. The contribution of urban mobility management to trip planning and the environmental upgrade of urban areas. Procedia - Social and Behavioral Sciences 20 (2011), 162–170. https://doi.org/10.1016/j.sbspro.2011.08.021
Prefeitura de Santa Maria. 2015. Lei Complementar No 098, DE 10 de junho de 2015, Institui o Plano Diretor de Mobilidade Urbana do Município de Santa Maria e dá outras providências. [link] Last access: 20 nov. 2020.