Bicycle Station and Lane Location Selection Using Open Source GIS Technology
To create more sustainable and livable cities, researchers work on different topics. In this context, bicycles have an important positive effect on people living in urban areas since they provide not only relief of traffic congestion but also enhance citi
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and Tahsin Yomralioglu
Abstract To create more sustainable and livable cities, researchers work on different topics. In this context, bicycles have an important positive effect on people living in urban areas since they provide not only relief of traffic congestion but also enhance citizens’ health. The finding suitable locations of bicycle sharing system stations and bicycle lanes are attracted attention because they have a huge contribution to providing bicycles are part of everyday life. The aim of this study is to propose a workflow that combines GIS and MCDM methods to determine locations of bicycle sharing system stations and bicycle lanes together. MCDM methods are used to identify which criterion more effective than others since different factors affect the location selection process. Weights of criteria are obtained using AHP, FAHP, and BWM while TOPSIS is applied to rank alternative locations. To provide a more useful and sharable solution, site selection model is prepared in QGIS which is a widely used open source GIS software. First, three different suitability index are obtained using weights that came from MCDM methods. After, average analysis is applied to these suitability indexes so as to increase the reliability of the result. Furthermore, three different scenario applications that take into consideration whether study area has bicycle sharing system station and bike lane currently are implemented in this study. Various alternative locations for bicycle sharing system station and bike lane are proposed in order to support urban planning studies. Keywords Bicycle sharing system station · Bicycle lane · Best worst method (BWM) · Multi-criteria decision making (MCDM) · Geographic information systems (GIS) · Fuzzy logic
D. Guler (B) · T. Yomralioglu Department of Geomatics Engineering, Istanbul Technical University, Istanbul, Turkey e-mail: [email protected] T. Yomralioglu e-mail: [email protected] © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021 A. Mobasheri (ed.), Open Source Geospatial Science for Urban Studies, Lecture Notes in Intelligent Transportation and Infrastructure, https://doi.org/10.1007/978-3-030-58232-6_2
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D. Guler and T. Yomralioglu
1 Introduction Public transportation systems have high importance for achieving urban sustainability since these systems can reduce traffic congestion, provide fertile energy consumption, and decrease carbon footprints. This is why traffic flow plays an important role in supplying efficient urban economic growth [1, 2]. Motorized vehicles that burn fossil fuels are used as the primary urban transportation mode in order to meet public demand because of fast population growth especially in developing countries [3, 4]. Nevertheless, this causes negative impacts on the environment as these vehicles increase harmful greenhouse gas emissions and exhaust natural resources [5]. To prevent these kinds of negative impacts and secure sustainable urban transportation, urban planners and trans
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