web analytics

— urbantick

Archive
Tag "urbaDiary"

The publication has been reworked and we can now feature an updated version of the preview. See previous version HERE. We also offer a few more pages for you to read. Not much sorry. Each chapter is lead in by an essay, each written by an academic or professional with a specific interest and expertise in the particular topic. It will set the scene to the topic and beyond.
The book is illustrated with 400 tiny graphics in black and white. The content is full indexed to find tags easily. References and links in the text are fully ported and are directly accessible through the blog, so no tedious typing here.

Contributors: Sandra Abegglen, Matthew Dance, Jeff Ho, Ana Rebelo, Luis Suarez, Zahra Azizi

The preview below is really only a preview. Intro and outro are more or less complete, each chapter is only present with the first page of each section. But it should give you an idea of what the book will be like.
Anyway, also the cover now goes bold very much in the sense of the recent trend of pimped publication. You can see this as an homage to all these books that appear big and bold, but actually have some really ephemeral content. Feedback welcome! If you would like to have a look at the full publication drop me a line and I can give you access.

Read More

I will be at the POPFest 2009 tomorrow, presenting elements of my research work under the title
UrbanDiary – The Spatial Extension of Everyday Life
I will be focusing on the method and the first trial with the GPS data collection, specifically on the individual level. This will mainly focus then on the mental maps and individual perception of routine and space.
The presentation can be seen here as a preview.

The POPFest 2009 is this year at LSE in London, from July 2nd to July 4th. It is a platform for mainly postgrad students to show and discuss their work.
“POPFEST is a population studies conference organised by postgraduates for postgraduates with the aim of providing a relaxed, supportive environment for students to come together to present work and discuss ideas. This is a great opportunity to meet other students studying in the same area, practice your presentation skills and get some useful feedback from your peers.

The conference provides a forum for postgraduate students studying any aspect of population in disciplines including Social Sciences, Demography, Human Geography, Social Anthropology, Social Statistics, Health, Development, Social Policy and other related fields. Presenters have an excellent opportunity to discuss their work in front of their peers and have a chance to get feedback and ideas from fellow researchers. Those not wishing to present can get an idea of the sort of research being conducted by their peers and make valuable contacts for the future.

POPFEST is an ideal spring-board for all postgraduates regardless of their stage of research providing an opportunity to practice ones presentation skills, whether as a paper or poster display, before facing more demanding academic conferences.

PopFest has survived over the past 14 years due to the support and good will of the postgraduate community and the BSPS. For PopFest to continue this support and enthusiasm is essential. The BSPS is very keen to ensure the development of postgraduate population research through PopFest and has confirmed its continuing support to the conference. ”

This years Timetable.

Read More

CASA has recently been awarded “Centre of Excellence“ by Autodesk, and they provide their software packages. The software no is available in CASA and a few projects are taking shape on them. See a recent post by digitalUrban on the latest project using LandXplorer to map aerial images onto a 3d Lidar London model.
An other software of the Autodesk package is the Map 3D, a sort of AutoCAD GIS. On their website it is described as ”AutoCAD® Map 3D software enables engineers, planners, mapping technicians, surveyors, and GIS professionals to directly access, edit, visualize, and analyze a broad variety of CAD and spatial data in a familiar AutoCAD® software environment.“
With the experience from the previous mapping of the UrbanDiary data, this product looked as if it would be worth having a look at. The initial came from a link I came a cross on the web while searching for something related to a csv file. On map3d.wordpress.com I cam ​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​ a blog post on how to import a csv file into Map 3D and as the UrbanDiary data was available in csv I thought I just give it a go.​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​ ​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​ ​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​ ​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​

map3D_01.14mW0E6WMcAR.jpgmap3D_02.XHiM0El985JJ.jpg
Image by UrbanTick – Screenshots from Map 3D

map3D.dgJfTT76jtso.jpg
Image by UrbanTick – Screenshots from Map 3D – attribute box

It is actually straightforward once I figured out that the data formats in the csv file have to be set to number rather than text. Anyway, the data can be linked in via the OCDB data base link. This will include all the attributes from the csv table.
So far so good the data is there and can be used. With the help of the attribute table, changes in the visualization are simple. The rule builder is easy to use and produces good results, including an automatically generated key

Map3d_04.LSI7Qbo2lg4i.jpg
Image by UrbanTick – Screenshots from Map 3D – generated key

map3D_06.5L5ca1HtfgLF.jpg
Image by UrbanTick – Screenshots from Map 3D – data displayed per week day including a label

So for not having used the software before I am quite satisfied with the result. Importing the data, sorting it according to the attribute table and apply visualization characteristics depending on features, not bad.
It appears that the program slows down quite quickly. The first run was with a subset o the UrbanDiary data, some 10’000 points and this was fine. Going up to 45’000 points used quite a lot of power and slowed down the machine drastically. Switching from 2D mode into 3D did not really work and it was a struggle to get back without quitting the program.
The next thing was the analyzing functions. Using the buffer worked ok, again on a subset of points, but the machine got slower again. Meaning it was not responding at times and I would get the funny message by Vista ”The program is currently not responding would you like to quit or wait for the program?“ Of course I want to wait for the program and eventually it would come back. The first crash was not far and after the importing some aerial imagery of London to give the points some context I gave up. But only for today, because I was impressed by the program’s user-friendly approach. Compared to other GIS that are very technical, Map 3D was a little bit intuitive to me. I am now telling myself that the performance problems are all down to me not being experienced enough and it will be all better next time.
The next thing to try is eventually to get the GPS data from Map 3D into Autodesk 3D Studio Max for visualization purposes. This would be the software way, people here in CASA are currently working on a programming solution for this.

Read More

Another look at the recent interviews does focus on the personal schedule. Part one on mental maps can be found here. To complement the GPS records the individual information regarding the daily program participants have set up, is an important bit to draw a more comprehensive picture.
During the interview participants are asked to note down what their schedule is on a daily, weekly and yearly basis. The daily schedule is an obvious unit, but to put it in a more meaningful context additional units have been chosen.
It turned out that this is usually the longest and most complicated bit of the interview. It seems to be not as simple to explain one’s daily schedule. There are a lot of ifs, ands, ors together with thens and woulds. In short it is presented as a dynamic string of decisions with numerous dependencies. Nevertheless there are strong elements of directory within this pool of fluent decision making. Again the major element is the working week versus the weekend. It is very easy to simplify all this information and boil it down to a few catchy phrases. Too often in the past personal schedules have been described as work, leisure, home. I don’t think this can captures the richness with which participants have talked about their personal routines. Even if on first sight a story sounds simple and organized the perception of it for the individual might be different. To illustrate this an extract of one record.

UDp-02_sheduleSketch_exDay_090423.040I9aNXd37X.jpg
Image by UrbanTick for UrbanDiary – the daily schedule
​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​
To put it in a context the weekly time frame can help to understand that there are variations to this. In the example the changes are mainly between workweek and weekend. The focus does represent the personal situation. There are big differences between participants that have dependent children and those that have none.

UDp-02_sheduleSketch_exWeek_090423.onqU5K9LxxF8.jpg
Image by UrbanTick for UrbanDiary – the weekly schedule

Taking the two time frames together it represents the participants “mind map” of weekly activities. Regarding the information one might think there could be large gaps between plans and activities. But actually the two are pretty close. The “mental picture” of our routines is pretty good. Comparing this to participants’ perception of their spatial activities this is surprising. In spatial terms people often think their activities are much more flexible and they are traveling more than they actually are. This has lead to a lot of disappointment during the GPS tracking. (See UrbanDiary week 2)
By generating a schedule from the GPS data we have another record of when activities take place and are able to compare the two. They are pretty similar. The generated schedule plots data per hour and is coloured by weekday. Vertically the amount of activity at the time is shown an is derived from the number of recorded log points.
The two peaks represent the rush hour. The very light colour on top is the activities that took place on Saturdays. Sunday on the other hand is
the darkest colour on the bottom.

​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​UDp-02_tableSchedule_090527.7eNWGsaOxxkC.jpg
​Image by UrbanTick for UrbanDiary – Weekly schedule generated from GPS records

Regarding the timeframe interaction with the urban form takes place an abstract version of the schedule can help. The following representation has only four units over 24 hours to simplify and make clear where activity takes place, the units are morning, midday, afternoon and evening. Activity that involves spatial interaction on weekdays is basically during the rush hour in the morning and the evening. Other than this there is little activity. The weekend pattern is different in terms that there is afternoon and evening activity, with Saturday being the most active day. (See also the detailed analysis of the daily weekly and monthly pattern of UD participants)

UDp-02_tableScheduleAbstract_090527.ytSwU5wlTZul.jpg
Image by UrbanTick for UrbanDiary – the weekly schedule simplified

The information from the time frame of one year has not proofed to be too interesting. For most of the participants this was a too wide category. It seems not be a unit that a lot of people plan in, although in professional life this is definitely important and annual planning is key. In terms of personal activity few have had planned activities other than the expected Christmas and Easter brakes. Birthdays and holiday were among the other named activities on a yearly scale.
Regarding the city and spatial morphology longer terms are of course interesting, but the connections have probably to be found elsewhere.

Read More

As a second phase of the UrbanDiary project, the data collection focuses on the participants perception of their routine and activity. During semi structured interviews detailed information to accompany and extend the data collected via the GPS device. The selected topics for the interview are personal information such as work status and family status, routine, schedule, spatial knowledge, contextual knowledge, transport, memory of routes and GPS device usage. During the interview the participants are also asked to write down information about their daily, weekly and yearly schedule and also to draw a mental map of their travel from home to work and back.
Some preliminary observations from on e of the first sketches drawn by a UD participant, looking at mode of transport, sequence of noting down descriptive elements and a comparison to the GPS record of the route.

MentalMapSketch_090514.Rfaj8do406Sr.jpg
Mental Map analysis by UrbanTick for UrbanDiary

Of course also the way participants’ use the space given to work on is already very interesting and in this case only the very top of the sheet was used. Participants are asked to comment on what they draw and the transcript of this helps to interpret the drawing, for example regarding the sequence or comments they have made about their feelings in connection with a certain element.
The first two analysis diagrams look at relationship of mode of transports (top) and sequence of map creation (bottom), both based on the participants meal map. What looks like another of the GPS records is more of a dot-to-dot doodle.
Mode of transport in this example is bus journeys and walking. Comparing this to the GPS record (left) it is clearly visible that the length of the bus journey is different. In the mental map the walked part is in much more detail represented than the bus journey.

This is only to give a quick update on the UD project. The amount of data that these interviews provide for the project will keep me busy for a while. The next update will be on a comparison of schedules.

Read More

While working with the GPS track data of the UrbanDiary project, in connection with the series of interviews I am conducting, I suddenly recognized the different shapes and patterns that are being produced by the participants. Really funny shapes and forms, but always with a number of strong fix points. The shape is determined by a number of factors such as the spatial relationship of destinations, the distances traveled, the amount of travel and the intensity of repetition. The first point, relationship of destinations makes for the overall shape and the last point, the intensity of repetition makes for the character of the shape.
The images are all generated from data of participants who have a track record of two month and the drawings are the same scale.

UDp_shapeOfRecords_090423.A9BK60Or0d1z.jpg
Images by UrbanTick for UrbanDiary

Read More

It is over two month of tracking participants of the UrbanDiary project. The data is now used to render a set of new animations.
It is a general setting, superimposing all participants days on top of one day, including weekdays and weekends.
The radial transport structure in the city really starts showing up now and the corridors are highlighted. The dally beat of moving from the outside to the inside in the morning and back out in the evening is a strong characteristic. The trips that do not follow this rule can be identified as weekend activities or days of. The colours correspond to the map posted earlier.

UDtwoMonth_London from urbanTick on Vimeo.

UD_TwoMonth_Detail_Bloomsbury from urbanTick on Vimeo.

Read More

The new and updated UrbanDiary Map is here! Bigger, bolder and with even more tracks!
It contains now two month of tracking data of sixteen different participants. The collection is still growing and will be updated continuously.
After this period of two month the participants routes have mainly established and show up bold on the map. Nevertheless some one off routes continue to appear and they could be of much interest.

UDp_mapFold_090415.u95jfOzUoFKj.jpg
Images by urbanTick for UrbanDiary – click on image for detailed map

Read More

A refreshed visualization of the space-time diagram, called the aquarium. This time with the all new UrbanDiary project data.
Schematic representation of a Saturday track record of three participants of the UrbanDiary project recorded in London. The data is plotted with the z-axis representing time of the day. The time frame in this case is 24 hours and starts from the bottom  at 00h00 passing the time upwards to 24h00. Each participant has a time reference icon over the home location, where the journey starts and ends. 
There is one female and two male participants, of whom the female and one male participant have family. The single male goes in to work just as normal although it is a Saturday and returns home in the afternoon to do some sport activity locally where he lives. His journey starts at 08h23, ends at 17h19 and travels around 15 km. The woman does some local activities with her family and travels in to her workplace briefly later on. She starts her day at 07h01, ends at 20h09, and covers 30 km wile traveling. The Second male participant spends his day in the local area. This journey starts at 11h45, ends at 18h53, and measures 5 km.

​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​UDaquarium_ImageMontage01_090317.idIn9z1hzVT6.jpg UDaquarium_07-09-UT_0221Final02_m_090319.0ONQoC7ZeWPB.jpg
Image by UrbanTick for UrbanDiary 2009 – click on the image for large version

Read More

I have quickly generated a track map coded according to weekdays. It is coded in orange for the weekend tracks and in brownish for the week days.
A comment on analysis of the pattern will follow…
Click on the image to see a higher resolution image.

UDrecords_weekdays_090311_m.HHOovyudDRYe.jpg
Image by urbanTick for UrbanDiary

Read More