Walkalytics - Accurate planning for your pedestrian-based services
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With walkalytics.GWR and walkalytics.STAT, we introduce two datasets which can be directly used in conjunction with open government datasets: the first one relates every Swiss entrance from the federal register of buildings and dwellings (GWR) with the closest public transportation stop including additional information such as walking time. The second dataset enhances the population and household statistics (STATPOP) and the business demography statistics (STATENT) with reachability measures for each hectar in Switzerland.
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Walkalytics - Accurate planning for your pedestrian-based services
- 1. Entrance-to-POI Walking Times and Reachability Analysis with Walkalytics Stephan Heuel, EBP
- 2. 12.06.2019 © EBP | 2Walkalytics https://www.atlasobscura.com/articles/isochrone-maps-commutes-travel-times …
- 3. 12.06.2019 © EBP | 3Walkalytics Manchester 1914 Map courtesy of Manchester Archives
- 4. 12.06.2019 © EBP | 4Walkalytics Manchester 2019 Map+Data: © Esri and partners Travel time by car Isochrones are great, but there may be some problems: • Categorical Data • Not optimal for pedestrian movements • Not based on custom data
- 5. Walkalytics: Very High-Resolution Isochrones 12.06.2019 © EBP | 5| Titel der Präsentation Advantages of Walkalytics: • Very High Resolution (every second, every square-meter) • Optimized for pedestrian movements (desire-paths) • Cadastral Data + OpenStreetMap + other data can be used Map: © Esri, partners, Data: © EBP
- 6. Walkalytics.GWR: Enrichment of 2.1 million Swiss address 12.06.2019 © EBP | 6Walkalytics New attributes for every Swiss entrance of every building (EGID, EDID): Closest public transportation stop («tram, bus», «suburban train», «long-distance») Walking time to closest public transportation stop («tram, bus», «suburban train», «long-distance») Service quality for public transportation («ÖV Güteklasse») Closest Mobility station Walking time to next mobility station … walking time for your own set of POIs in Switzerland
- 7. Walkalytics.GWR: 2.1 million Swiss addresses with travel times 12.06.2019 © EBP | 7Walkalytics
- 8. Walkalytics.STAT: Enrich STATPOP with reachability data 12.06.2019 © EBP | 8Walkalytics → walking time [min] ↑ total resident population («bbtot»)
- 9. Walkalytics.STAT: Enrich STATENT with reachability data 12.06.2019 © EBP | 9Walkalytics → walking time [min] ↑ total working population («empt»)
- 10. Walkalytics.STAT: Enrich STATPOP & STATENT Every hectare in STATPOP/STATENT gets a new set of reachability values: © EBP | 10
- 11. Walkalytics.GWR + Walkalytics.STAT: Contact us for details 12.06.2019 © EBP | 11Walkalytics Stephan Heuel stephan.heuel@ebp.ch Twitter: @ping13 Jonas Fürstenberger jonas.fuerstenberger@ebp.ch www.walkalytics.com
Editor's Notes
- Have you heard of «isochrones»? An isochrone map is a planning tool with a long history: Since the 19th century, people have been using isochrones for transportation and spatial planning. <click> But what exactly is an isochrone map?
- An example of an isochrone is this map of Manchester from 1914: Color-coded are the reachable areas from the city center: Yellow can be reached by train within 10 minutes, Blue can be reached within 20 minutes, Brownish with 30 minutes and so on.
- In 2019, the calculation of such a map based can be done automatically with a proper street network and is almost a commodity… But these isochrones are calculated for cars. What happens, if we look at walking instead driving? <click> Then the network-based approach has some problems: You have only intervals of 10, 20, 30 minute …resulting in rather rough shapes People typically don’t move along lines, they walk in areas and zones It is based on a commercial street-network or on OpenStreetMap, but no governmental data
- This is an example in the city of Bern. Starting from the city center, we obtain a very high resolution isochrone map, measuring virtually every second. The underlying topography is optimally modelled for pedestrians and one can freely move on squares and other pedestrian areas. The data used here comes from OpenStreetMap, but Cadastral Data including sidewalks
- Today, we show two data products. The first one is “Walkalytics.GWR”, where GWR refers to the “Federal Register of Buildings and Dwellings”. For each of the 2.1 million Swiss addresses, we have calculated the next public transportation stop and its walking time. We distinguish here between tram/bus stops, suburban train stops and long-distance railway stations. We can also assess the service quality of any address. Furthermore, we have done the same for every station of the carsharing company “Mobility” and we can do the same assessment for any POI of your choice for the whole of Switzerland.
- You actually don’t need a GIS in order to use Walkalytics.GWR: As a result, you just get a database table, which you can directly relate to the addresses of your customers.
- The second product enriches STATPOP and STATENT, the Population and Households Statistics respectively the Structural Business Statistics by the Federal Statistical Office. An animation is worth a million words: Here you see the number of reachable residence with respect to the walking time: For every second along the 20 minutes, you can estimate the number of residents you can reach at that point of time. We have actually calculated these statistics for every survey-point in the STATPOP statistics. (The Population and Households Statistics are part of the surveys conducted within the framework of the Federal population census. The statistics provides information regarding population size and composition of the permanent resident population at the end of a year as well as population change during the same year. Together with the structural survey, it provides the household statistics.) STATPOP = https://www.bfs.admin.ch/bfs/en/home/statistics/population/surveys/statpop.html STATENT = https://www.bfs.admin.ch/bfs/en/home/statistics/industry-services.html
- In this animation you see the number of reachable working population or employees with respect to the walking time. The chart is obviously different from before since the density of the working population is much higher around the city center and central station.
- As said before, we have calculated the reachable statistics for 4 parameters and for every hectare in the statistics dataset. There are literally billions of routes calculated für Walkalytics.STAT, so don’t try to do this with Google Maps or other providers, this will get very expensive. Again, you don’t need a GIS in order to take advantage of the data, it’s just a database table. So, this is Walkalytics.STAT. Together with Walkalytics.GWR, the enrichment of Swiss postal addresses, you can plan and optimize your pedestrian-based services with a very high accuracy.
- Questions? Come and talk to us!