BEGIN:VCALENDAR VERSION:2.0 PRODID:-//pretalx//talks.staging.osgeo.org//foss4g-europe-2024-academic-tra ck//speaker//LFSGTR BEGIN:VTIMEZONE TZID:EET BEGIN:STANDARD DTSTART:20000101T000000 RRULE:FREQ=YEARLY;BYMONTH=1;UNTIL=20001231T220000Z TZNAME:EET TZOFFSETFROM:+0200 TZOFFSETTO:+0200 END:STANDARD BEGIN:STANDARD DTSTART:20021027T050000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:EET TZOFFSETFROM:+0300 TZOFFSETTO:+0200 END:STANDARD BEGIN:DAYLIGHT DTSTART:20020331T040000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:EEST TZOFFSETFROM:+0200 TZOFFSETTO:+0300 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:pretalx-foss4g-europe-2024-academic-track-Y9RS3B@talks.staging.osgeo.or g DTSTART;TZID=EET:20240704T121500 DTEND;TZID=EET:20240704T122000 DESCRIPTION:Mobility is one of the main factors affecting urban environment al performances. Car dependency is still widespread worldwide and integrat ed planning approaches are needed to exploit the potential of active and s hared mobility solutions\, making them an effective alternative to the use of private vehicles. The analysis and optimization of public transportati on (PT) services have so become increasingly important in the planning and management of urban infrastructure. This work aims to develop and impleme nt a QGIS plug-in for analyzing urban PT networks\, assessing the accessib ility and intermodality dimensions\, relying on General Transit Feed Speci fication (GTFS) data as source of information.\n\nGTFS is a standardized f ormat for PT schedules and geographic information. It defines a common for mat for transit agencies to share their data\, making it possible for deve lopers to create applications that provide accurate and up-to-date informa tion about services. This standard was chosen because it is one of the mos t popular and widely used\, especially when the data are used for static t ype analysis. The information extracted mainly concerns PT stops\, routes and nodes preparatory to route construction and connection. All data belon ging to the geospatial standard\, in order to be usable by GIS software\, must be extracted\, interpreted and converted to a GIS layer. Specifically \, all information regarding stops and routes was extracted to obtain a ve ctor layer for each type of data. Going deeper\, one of the most important layers concerns that of the PT routes\, as it shows the entire urban netw ork\, obtained by converting the data within a graph data structure using NetworkX\, a library for the creation\, management and manipulation of com plex networks\, including graphs. This graph was created following a perso nal interpretation with the aim of facilitating the achievement of our pur pose. to facilitate the achievement of our purpose\, it was decided to mod el the edges of the graph in such a way that an edge is only used by one P T route. If two public vehicles use the same edge\, there will be two diff erent overlapping edges. It is also important to emphasise that each edge in the graph shows the type of means of transport using it (underground\, train\, bus\, ...)\, the average travel time of that edge\, and the length of the edge itself. The creation of the graph is fundamental to carry out two types of analysis.\n\nThe accessibility analysis is conducted to dete rmine which areas are reachable within the specified time frames via all t he possible combinations of PT lines. Starting from any point in the city\ , it provides service areas combining PT and walking within a given time i nterval defined by the user up to a maximum of 60 minutes. The outputs are both lines\, all the edges of the network that can be travelled\, and pol ygons\, convex hulls built on them. This analysis\, already available only within proprietary software ArcGIS\, is extremely useful to provide very detailed information about the potential of each PT stop and its surroundi ng urban area. The second analysis concerns PT interoperability and introd uces some elements of novelty. It is intended to assess intermodality beyo nd the PT nodes (hubs)\, exploring which paths in the street network have the higher probability of being taken to change from one line/mode to anot her. The evaluation is purely physical and only considers network distance . Its results are expected to be integrated with complementary dimensions as proximity to Point of Interests\, street comfort and safety for a holis tic planning approach. Starting from any PT stop\, a circular catchment ar ea is drawn using a user-defined distance and the PT stops within it are s elected. Among them\, those with at least one PT line in common with the d eparture stop are discarded\, the remainder being selected. This is done a ssuming that PT is generally faster than walking and so\, when the PT alte rnative is available\, walking is less attractive. It is then shown how th e starting stop is connected to the other stops via the most direct pedest rian path. Finally\, once drawn all the pedestrian paths\, the number of t imes that each street segment is used is also calculated\, providing a cla ssification according to their potential use for modal change. The pedestr ian graph is obtained through OSMnx\, a library for retrieving\, processin g\, and visualizing road network data from OpenStreetMap.\n\nThe plugin wa s tested on two different case studies\, Milan and Rio de Janeiro\, produc ing significant results highlighting the created plug-in’s utility and a pplication in the context of GTFS data-driven studies of urban public tran sportation networks. The outcomes of both analyses were consistent\, demon strating the plugin’s applicability in comprehending the dynamics of met ropolitan public transit networks. Overall\, the plug-in stands out as an important tool that can analyse GTFS data and use it to create a network o f a city’s PT. The built plug-in provides a flexible and easy-to-use too l for studying urban PT networks\, which constitutes a significant additio n to the geospatial community. The plug-in offers a thorough overview of s ervice coverage\, accessibility\, and connectivity within various metropol itan contexts by utilizing GTFS data. Subsequent examinations offer a powe rful tool for analysing specific areas of a city\, showing interconnection s between stops and possible routes that can be travelled. The studies are therefore very useful as they quantitatively analyse a context\, consider ing the context itself\, assessing the accessibility and interoperability of an urban area.\n\nThe ultimate goal is to contribute to a deeper unders tanding of urban public transportation networks and urban areas through a practical and intuitive tool that can be used by those involved in the ana lysis and management of city infrastructure. Work is also underway to exte nd these analyses to other city contexts\, thus not limiting them to publi c transportation alone. For example\, by showing the distribution of Point s of Interest within the city\, highlighting how they are interconnected. This must\, however\, be done while trying to maintain a reasonable runtim e\, as it can still be a problem for very complex and detailed networks. DTSTAMP:20260415T153655Z LOCATION:Omicum SUMMARY:CITY TRANSPORT ANALYZER: A POWERFUL QGIS PLUGIN FOR PUBLIC TRANSPOR T ACCESSIBILITY AND INTERMODALITY ANALYSIS - Gianmarco Naro\, Carlo Andrea Biraghi URL:https://talks.staging.osgeo.org/foss4g-europe-2024-academic-track/talk/ Y9RS3B/ END:VEVENT END:VCALENDAR