Research Trends and Results

Movement of people, development of a platform, andworking on the application of transportation planning
IMAI Ryuichi, Researcher (Ph.D.)
IBOSHI Yuki, Researcher
TAJIMA Satoshi, Guest Research Engineer
FUKADA Masayuki, Guest Research Engineer
SHIGETAKA Koichi, HeadInformation Technology Division, Research Center for Advanced Information Technology(Key words) Movement of people, Trail data
1. Introduction
Information that can clarify the actual way people
move collected 24 hours/day for 365 days/year on anationwide scale from smartphones, car navigation
systems, transportation smart card systems etc. (below,“movements of people”) is counted on to be used in avariety of fields.
The NILIM is researching the possibility ofapplying diverse movements of people totransportation planning by developin a platform
capable of collecting and analyzing such information1). This paper reports on the results of a verification of
the possibility of applying diverse movement ofpeopletotransportation
planning
throughcombinational analysis of this information and future
prospects.
2. Trial of combinational analysis
This research performed features analysis of diverse
movement of people and abstraction of usage scenes
in the transportation field, verifying that it is possible
to apply diverse movements of people to each usage
scene based on a case study of combinational
analysis2). The following introduces examples of theresults of a case study of combinational analysis thatclarifies the actual state of public transportation
services.
In order to promote the use of public transportation
by making it more convenient, it is important toprovide public transportation adapted to the residents’needs. The figure shows an image of the abstraction oflatent demand for public transportation. As one
applicationof
thiscombinational
analysis,superimposing the flow of people in mesh form
obtained from cell phones and actual bus usage byroute, by bus-stop, and by time period obtained fromtransportation system IC cards etc., we succeeded inclarifying the actual movement before and after
boarding/alighting from busses at bus-stops in addition
to the state of boarding/alighting at each bus-stop(figure on left). By comparing this with population
distribution by mesh based on the national census andthe Basic Residents Register, it was possible to clarify
areas where, although the latent demand (populationof elderly people etc.) is high, bus use is low (publictransportation usage promotion areas). (Fig. on right)
It can be said, that in this way, combinational
analysis of multiple movements of people can analyze
or visualize the state of transportation, which isdifficult to do with only a single movement of people,
so that it can be applied to transportation planning.
3. Future prospects
The results of the research were obtained throughactivities of the Tsukuba Mobility Traffic ResearchCommittee3). In the future, we will verify thecombinational analysis of diverse movement sof
people in the field and clarify the possibility ofapplying it to transportation planning.
Figure. Image of Abstraction of Latent Demand for
Public Transportation[Sources]
1) Information Technology Division: Movement ofpeople, information infrastructure and Working on theapplication of transportation planning<http://www.nilim.go.jp/lab/qbg/bunya/gis/idoujyouhou.html>
2) Imai, R., Fukada, M., Shigetaka, K., Yabe, T.,
Makimura, K., Adachi, R.: Feasibility study on
applicability of multi-trial data using combinational
analysis in urban transportation planning, Collectedpapers on Civil Engineering Planning, Vol. 48, 20133) City of Tsukuba: Clarifying movement of people(urban activities) in Tsukuba City, Tsukuba Mobility
Traffic Research Committee
http://www.city.tsukuba.ibaraki.jp/dbps_data/_materia
l_/_files/000/000/015/445/No77.pdf