Method of intermodal accessibility graph construction

Mishina, Margarita; Khrulkov, Alexander; Solovieva, Valentina; Tupikina, Liubov; Mityagin, Sergey A.

doi:10.1016/j.procs.2022.10.206

Cited by 6 publications

(2 citation statements)

References 7 publications

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“…Public transport routes and stops were also obtained with OpenStreetMap (OSM, 2022) within the administrative boundaries of the city. The intermodal graph is obtained by combining the walk graph and the graph of public transport in the vertices corresponding to stops (Mishina et al, 2022). The links in the graph are the pedestrian sections and public transport routes.…”

Section: Figurementioning

confidence: 99%

“…We obtained a similarity matrix of distances between all blocks. Knowing the distances between all blocks, we calculated the minimum time to travel by public transportation (using the intermodal graph (Mishina et al, 2022)). As a result, we obtained matrices with the shortest distances and times between all the blocks that can be mapped (Figure 3).…”

Section: Travel Time Calculationmentioning

confidence: 99%

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Assessing the transport connectivity of urban territories, based on intermodal transport accessibility

Morozov,

Kontsevik,

Shmeleva

et al. 2023

Front. Built Environ.

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By 2050, around 70% of people will live in urban areas. According to the 11.2 target of UN SDG “Sustainable cities and communities” to provide access to safe, affordable, accessible, and sustainable transport systems for all, the aim of the paper presented was to investigate accessibility and connectivity of urban territories by public transport systems. The main emphasis of the research was directed at transport infrastructure, which can be seen as sustainable, including public transport. The quality of life in a large city is determined by the ability to get from one destination to another quickly and efficiently. To implement this task a methodology has been developed to assess the connectivity and accessibility of urban areas. The method, based on an intermodal transport graph, is presented as an example of assessing accessibility and connectivity in different districts of Saint Petersburg (Russia), Helsinki (Finland), Stockholm (Sweden), and Amsterdam (Netherlands). The results are presented as graphs with clusters of city blocks presented as points. It is indicated that different areas of the city are connected through time values differently. The method can be used to make urban planning decisions about the provision of urban infrastructure, allows for ongoing monitoring of the situation, and filling in the gaps.

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Section: Figurementioning

confidence: 99%

Section: Travel Time Calculationmentioning

confidence: 99%