GIS for accessibility and universal design. Sven Michaelis KARTVERKET GIS&Health2014-Lund

Transcription

1 GIS for accessibility and universal design Sven Michaelis KARTVERKET GIS&Health2014-Lund

2 AGENDA 1. Background of the project 2. GIS Tilgjengelighetsportal 3. Methodology for mapping 4. Results 5. Future

3 1 Background

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5 WE create the barriersfor us and for other! Think and act we properly it will be no (or less) limits/barriers in our daily life!

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8 UNIVERSAL DESIGN Means it more costs for the few? NO!! UD=usefully for EVERYONE, necessary for SOMEONE!

9 DEFINITION Universal design (UD) is the design of products and environments to be usable by all people, to the greatest extent possible, without the need for adaption or specialized design The Center for Universal Design, North Carolina State University, USA

10 Based on this: Norwegian government developed a - long term strategy: Norway - universal designed in 2025 includes 16 ministries focus on urban areas / recreating areas, buildings, transport and on information and communications technology

11 Our project is a part of this plan: GIS for accessibility and universal design Web map client Data integration Mapping Develop methodology Testing methodology Field work Training for local authorities Statistics as basement for urban planning

12 allergy motion disabled But how should we start? mentally handicapped Hearing impaired visually impaired

13 Let s start easy! Primary focus on: motion disabled visually impaired

14 2 Tilgjengelighetsportal - a web map client and more

15 GIS for universal design and accessibility Planning tools in local authorities Map clients for national departements Tilgjengelighetsportal Cadastre client GPSregistration View, use and updating Updating Updating WMS / WFS WMS / WFS National infrastructure spatial data and information about UD Background maps (Norwegian Mapping Authority) Specific solutions UD-data (NPRA, Statsbygg,..) Cadstre UD-data inside Accessibility-data UD-data outside UDdata

16 Tilgjengelighetsportalen - General project information:

17 Tilgjengelighetsportalen - Map client:

18 INTEGRATED DATA Urban areas

19 INTEGRATED DATA Recreational areas

20 INTEGRATED DATA Cultural heritage

21 INTEGRATED DATA Tourist cabins

22 3 Methodology for mapping

23 MAPPING 2 instruction manuals Urban areas Sidewalk network Parking areas Entrances Recreational areas Hiking trails Bathing sites Fishing sites

24 MAPPING CHOICE OF OBJECTS 3-zone-mapping with different objects within each zone 1. Local authority area 2. Urban area 3. Center

25 MAPPING CHOICE OF OBJECTS Objects within local authority areas Outdoor activities Hiking trails Bathing sites Fishing sites

26 MAPPING CHOICE OF OBJECTS Objects within urban areas Public buildings Town hall Local agencies Education Schools Colleges/universities Culture Cinema, cultural center, concert halls Sports Sports hall, tribunes Public transport and traffic Railway stations Parking areas

27 MAPPING CHOICE OF OBJECTS Objects within the center Way network Cycle facilities Pedestrian zones Sidewalks Pedestrian crossings

28 MAPPING attributes of objects

29 MAPPING attributes of objects

30 Equipment

31 MAPPING Workflow 1. Preparation: a) Choice of area b) Choice of objects

32 MAPPING Workflow 1. Preparation: a) Choice of area b) Choice of objects c) Print out/check out data to tablet pc

33 MAPPING Workflow 2. The field work: o one person o measures the attributes o fills in schema/digitis data on tablet pc o classify objects

34 MAPPING 3 classes of accessibility Accessible Difficult accessible Not accessible Meet minimum requirements Meet most of minimum requirements Do not meet minimum requirements Norwegian standard : Universal design of developed outdoor areas - Requirements and recommendations

35 MAPPING example for classification of objects in urban areas Property Universal Designed prtially UD not UD Parking area Number HC parking >= 5% min 1 0 surface plane rough *) HC-Parking place Distance entry <= 25 m > 25 m eller Ingen Wide >= 450 cm < 450 >= 380 cm < 380 cm Length >= 600 cm < 600 >= 500 cm < 500 cm Sign Yes No Ground mark Yes No If parking against fee: Automat height <= 110 cm > 110 cm Way Wide >= 180 cm < 180 >= 130 cm < 130 cm Gradient <= 2,9 gard (1:20) > 2,9 <= 4,9 grad > 4,9 grad (1:12) Gradient-crosswise <= 1,2 gard (1:50, 2%) > 1,2 <= 1,9 gard > 1,9 gard (1:30, 3%) surface plane rough*) Pedestrian crossings Threshold 1 <= 2,5 cm > 2,5 cm Threshold 2 <= 2,5 cm > 2,5 cm Entry Distance_HC <= 25 m > 25 m or not HC Door opening Half-/Automat Manual Door wide >= 90 cm < 90cm Threshold <= 2,5 cm > 2,5 cm Way gradient <= 2,9 gard (1:20) > 2,9 <= 4,9 grad > 4,9 grad (1:12) If ramp: Ramp wide >=90 cm < 90 cm Ramp handrail Both sides Min one side not Classification for motion disabled Accessible Only green Difficult accessible 1 or more yellow Not accessible 1 or more red Handrail height cm >= 65<85 OR >95 >=100cm Handrail height cm >= 50<65 OR >75 >=80cm

36 MAPPING Workflow 3. Post processing: Tablet pcregistration download data(sosi, shape) WMS / WFS Norgeskart/ tilgjengelighet On demand via WFS-T Every night Real time Distribution base Production base Registration base Manual correction check UD-classification Check objects and attributes delete wrong registrations Post Processing

37 5 Results

38 Registration registration 148 communities o o o o o 9264 way 4373 entry 2937 HC-parking place 2833 parking area Sum objects

39 Registration registration update data 100 communities o o o o o 6872 way 2181 entry 1807 HC-parking place 1740 parking area Sum objects

40 Statistic Norway percent off all registered objects, motion disabled Accessible Difficult accessible Not accesible Not classificated Entry HC-parking Parking area Sidewalk

41 Statistic Norway percent off all registered objects, visually impaired Accessible Difficult accessible Not accesible Not classificated Entry HC-parking Parking area Sidewalk

42 Statistic Sidewalk, selected communities percent off all registered objects, motion disabled Accessible Difficult accessible Not accesible Not classificated

43 Statistic HC-parking, selected communities percent off all registered objects, motion disabled Accessible Difficult accessible Not accesible Not classificated

44 6 Future

45 Tasks & opportunities more responsibility from the communities, local knowledge is the key for more quality new user groups (e.g.: ) more automatic survey get information from remote sensing (laser, photography, )

46 Thank you for your attention! Questions?