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Jia Chen Int. Journal of Engineering Research and Applications www.ijera.com
ISSN: 2248-9622, Vol. 5, Issue 11, (Part - 2) November 2015, pp.108-114
www.ijera.com 108 | P a g e
Research on the characteristics and evaluation of nightscape
along the LRT line
Jia Chen *, Mamoru Takamatsu *
*(Faculty of Engineering, University of Toyama, Gofuku3190, Toyama city, 930-8555 Japan
Email: mikutoyamajapan@yahoo.co.jp)
ABSTRACT
With people's increasing demand of nightlife activities, the nightscape has become more important than ever to
enhance the image of city. In this study, we tried to analyze the effects and influence of the landscape lighting
that produced the nightscape and pointed out that the optimal nightscapes along the LRT (Light Rail Transit)
line. We selected the urban landscapes along the LRT wayside as the research objects, used the SD (Semantic
Differential) technique to compare the difference between the daytime and the nighttime landscapes by the
vision engineering and measurement psychology. As a result, it became clear as follows: 1) image evaluation of
the nightscapes got higher estimation than that of daytime landscapes. The importance of the nightscape has been
recognized once again; 2) landscape lighting played the important role in the charming nightscape; 3) the
optimal nightscapes along the LRT routes could be chosen with the results of factor analysis.
Keywords - Light rail transit, Nightscape, Landscape lighting, Image evaluation, Analysis of factors
I. Introduction
In recent years, with the development of city
economy and citizens’ lifestyles, most people are
busy at work during the day time, night time become
their main leisure periods. People start to pay more
attention to their nightlife activities in many places
in Japan. Therefore, the night landscape of city is as
important as how it looks like during the daytime.
And sometimes, nightscape can make more impact
on people’s mind about the city. A city’s nightscape
can be treated as a re-introduction of the city during
the night. With appropriate urban design and
landscape lighting system, a city can draw very
impressive pictures as its "Identification Card" to the
whole world. Many cities, especially some
metropolises, have already noticed the importance of
nightscape and put efforts in their urban design, such
as the nightscape of "Odaiba Rainbow Bridge" and
"Tokyo Sky Tree" at Tokyo, Sapporo white
illumination" and "Okurayama view point" at
Sapporo , the nightscape of Fukuoka city etc..
On the other hand, many papers of landscape
lighting design for urban nightscape have already
been published such as Y. Nakamura et al. [1], A.
Okutani et al. [2], S. Nagayama et al. [3] For
example, Okutani et al. [2] for the impression of the
landscape lighting, to perform an analysis of the
fractal dimension by computer image processing,
said the association about the impression evaluation
and fractal dimension. In addition, S. Nagayama et
al. [3] examined the color temperature of
illumination light source most suitable for Japanese
historical buildings. Nevertheless, there are very few
papers to describe with respect to attractive creation
of city that is based on the characteristics and
evaluation of nightscape in cooperation with city
development plan [4].
Fig. 1. Toyama castle and LRT vehicle a night.
In this study, we picked up a major local city of
japan, which introduced the Japan’s first full-scale
LRT (Light Rail Transit) system [Fig.1]. By using
visual engineering and psychometric approach, we
compared with the nighttime landscape and daytime
landscape, tried to analyze the effects and influence
of the landscape lighting that produced the
nightscape and pointed out that the optimal
nightscapes along the LRT line. It is expect to
provide basic data for building a beautiful and
charming night urban landscape in the future.
RESEARCH ARTICLE OPEN ACCESS
Jia Chen Int. Journal of Engineering Research and Applications www.ijera.com
ISSN: 2248-9622, Vol. 5, Issue 11, (Part - 2) November 2015, pp.108-114
www.ijera.com 109 | P a g e
II. Experimental
<1>Selection of experimental landscapes
We selected a total of 16 places from 5 typical of
the landscapes along the Toyama LRT line as well
as those have been widely recognized by the citizens.
(Table 1).
(1) Cultural and exhibition facility (such as
Koshinokuni museum), (2) Historical facility (such
as Toyama castle), (3) Administration and public
relations facility (such as JR Toyama station), (4)
Commercial and tourist facility (such as ANA
crowne plaza hotel), (5) Parks and green space
facility (such as Toyama ring water park).
Table 1. The number and name of each landscape.
No Landscape name No Landscape name
① Koshinokuni Museum ⑨ CIC Building
② city Plaza ⑩ Toyama Ring water’s park
③ Toyama Castle ⑪ Daiwa Department Store
④ Toyama Electrical Building ⑫ Marier Toyama
⑤ Toyama City Hall ⑬ Ikedaya Store
⑥ Toyama International
Conference Center
⑭ Northern Japan Newspaper
office
⑦ Urban Place ⑮ Hokuriku Electric Company
⑧ ANA Crowne Plaza Toyama ⑯ JR Toyama Station
<2> Preparation of samples
The landscape photography samples were be
selected an observation point that can understand the
whole pictures and characteristics of the landscapes.
(1)Photographic equipment as the shooting
conditions digital camera (CANON EOS Kiss X5),
lens focal length 35mm equivalent 28mm
equivalent, dedicated tripod.
(2)Take photos’ date and time to be selected in the
good weather, during 11:00 to 15:00, and after
sunset 19:00 to 21:00 by consider the order light.
(3)Shoot position in LRT wayside road centerline
supplementary near and then, the height from the
ground to the center of the camera lens is set to 1.5
m.
(4)Photography quality can be maintained at high
quality pixels, the alignment condition of the four or
more points. Our vision and visual angle also taken
into consideration, and conscious so that it becomes
a natural scenery samples as possible.
According the above-described criteria were
taken photographic samples. In reading all the
photos have taken a personal computer, we have
created day landscape 16 pieces, night landscape 16
pieces of a total of 32 points of the experimental
observation for the landscape sample. Actually used
the nightscape samples are shown in Fig.2
<3> Experimental method
We did all of experiment under the conditions of
a dark room. The distance of the subject's anterior 4
m place the screen (W2.4m × H1.8m) for presenting
the landscape sample, using a projector, and is
presented in a random one by one slide experimental
landscape samples on the entire surface of the
screen. (Fig.3).
Fig. 2. Sample photos of nightscape in LRT line
Fig. 3. Experimental image.
Subject observed the presentation of the
landscape sample in one minute, thereafter,
evaluates the impression felt the scene sample data
sheet using the SD method of psychological
techniques. In order to prevent accidental filling,
etc., it is assumed that fill one by one for one scene
sample.
The configuration of the subject are 25 students
(18 males, 7 females) of the Faculty of Engineering
Jia Chen Int. Journal of Engineering Research and Applications www.ijera.com
ISSN: 2248-9622, Vol. 5, Issue 11, (Part - 2) November 2015, pp.108-114
www.ijera.com 110 | P a g e
with 23.8 average age, both are familiar to the SD
method. In addition, psychological subject, namely
in consideration of feeling and physical condition,
etc., in order to measure and reduce the error as
much, experiments were performed while taking a
break at fixed intervals.
<4> Experiment SD method
Semantic Differential technique is a typical
method in performing landscape image evaluation
test was developed by C.E.Osgood [5]. Impression
evaluation by SD method, for a given impression
measure, is an evaluation method for numerical
select the degree to which subjects felt. This method,
it is possible to quantify the evaluation value for
each evaluation item, it is possible to comparative
analysis between a plurality of target. We selected
20 pairs of impression adjective words in this
experiment. Rating scale in seven stage such as
neutral around the (0 points), toward the respective
adjective little (1 or -1), quite (2 or -2), very (3 or -3)
(Fig.1).
Fig. 4. Bipolar scales defined with adjectives on each end.
The analysis of the evaluation data of the SD
method, we used the factor analysis method. This
analysis made it possible to grasp the overall
impression to the target from the impression words
that are similar to.
III. Results and Discussions
<1> Impression results
We showed an example of the image evaluation
result impression evaluation results in Fig.5 (a) ~
(d). For each landscape sample, it is intended that
the average value of all image evaluation results of
the displayed on the polar coordinates. In each
figure, placing the adjective of positive impression
in the circumferential direction. The radially taking
an evaluation value, the evaluation value of each
adjective enough to be located outside the circle
indicating that is high. Parameter is "night" and
"day."
First, Fig.5 (a) showed the average value, it can
be said that shows the respective landscape
evaluation trend day landscape and night landscape.
Overall image evaluation of the day landscape and
light-up night Landscape is, "night landscape ", the
area surrounded by the closed curve in the order of
"night landscape" is larger. That is, in the evaluation
of the landscape samples showed that the image
evaluation of the "night landscape" is above it in the
overall the "day landscape".
Then, we showed for individual landscape. In
koshinokuni museum of Fig.5 (b), higher overall
trend compared image evaluation is that of the
daytime "night landscape" can be seen. The
difference was remarkable in adjectives such as
(urbanity), (gorgeous), (remarkable), (exciting),
(crowded), (lively) and (warm).
In Fig.5 (c) Toyama Castle, (light) and (quiet) a
high evaluation value of "night scene" with the
exception of the indicated. Specifically, the
evaluation value of the adjective and such as
(funny), (favorite), (remarkable), (comfortable),
(harmonious), (attractive), (charming), (bright),
(quiet), (calm) and (beautiful).
On the other hand, JR Toyama station in Fig.5
(d), different from the previous results, the variation
of the evaluation value is large, the tendency of
evaluation is reversed in the [Day Landscape] and
[night Landscape] is shown. In particular, the
evaluation of adjectives such as (urbanity),
(comfortable), (harmonious), (beautiful), (funny)
and (light) value that has been shown very low.
0
very
3
quite
2
little
1
urbanity
gorgeous
favorite
remarkable
harmonious
open
crowded
charming
comfortable
exciting
lively
swanky
warm
bright
funny
light
quiet
cheerful
calm
beautiful
aflame
ugly
dreary
heavy
close
noisy
simple
-1
quite
-2
very
-3
neutral little
dark
rural
simple
annoying
nondescript
uncomfortable
unsophisticated
cold
unexciting
inharmonious
lonely
uninviting
apathetic
Jia Chen Int. Journal of Engineering Research and Applications www.ijera.com
ISSN: 2248-9622, Vol. 5, Issue 11, (Part - 2) November 2015, pp.108-114
www.ijera.com 111 | P a g e
<2> Factor analysis
By the analysis to better interpret the scene
sample results factor analysis, on the basis of the
results obtained from the subjects and subjected to
factor analysis with respect to average data of an
image evaluation of each adjective pair in the
landscape sample it was [6].
In performing the factor analysis, principal
component analysis was performed for firstly
determining the number of factors. The eigenvalues
of the factor for the correlation matrix between each
adjective pair I is shown in Fig. 6. Eigenvalues 1.0
or more factors are two extraction (see Table 2)
cumulative for the contribution rate was 80.06%, in
consideration of the possibility of semantic
interpretation is the number of factors and "2" was
conducted factor analysis.
As a result, it shows the contribution rate after
varimax rotation until the resulting second factor and
the factor loadings of each adjective pair in Table 2.
Factor loadings indicates the influence factors on
each evaluation item, factor of interpretation I went
in load factors.
The first factor is 48.53% contribution rate,
(comfortable), (harmonious), (beautiful),
(charming), (favorite) from being included
adjectives such as, it was interpreted as [Evaluation]
factor.
The second factor is the contribution rate of
31.53%, (lively), (crowded), (exciting), (gorgeous),
such as an adjective of factor loadings since the
-3
-2
-1
0
1
2
3
urbanity
gorgeous
favorite
remarkable
comfortable
exciting
harmonious
crowded
charming
lively
swanky
warm
bright
open
quiet
cheerful
calm
beautiful
funny
light
-3
-2
-1
0
1
2
3
urbanity
gorgeous
favorite
remarkable
comfortable
exciting
harmonious
crowded
charming
lively
swanky
warm
bright
open
quiet
cheerful
calm
beautiful
funny
light
(a) Overall mean (b) koshinokuni museum of literature
-3
-2
-1
0
1
2
3
urbanity
gorgeous
favorite
remarkable
comfortable
exciting
harmonious
crowded
charming
lively
swanky
warm
bright
open
quiet
cheerful
calm
beautiful
funny
light
-3
-2
-1
0
1
2
3
urbanity
gorgeous
favorite
remarkable
comfortable
exciting
harmonious
crowded
charming
lively
swanky
warm
bright
open
quiet
cheerful
calm
beautiful
funny
light
(c) Toyama castle (d) JR Toyama station
Day ---- Night
Fig. 5. The result in each landscape
Jia Chen Int. Journal of Engineering Research and Applications www.ijera.com
ISSN: 2248-9622, Vol. 5, Issue 11, (Part - 2) November 2015, pp.108-114
www.ijera.com 112 | P a g e
amount is high, it was interpreted as [Activity]
factor.
0
1
2
3
4
5
1 2 3 4 5 6 7 8 9
Factor number
Eigenvalue
Fig. 6. The intrinsic value of factor.
Table 2. Factor loading to adjectives
Variable Name No.1(Evaluation) No.2(Activity)
Comfortable 0.969047172 0.04943547
Harmonious 0.934657141 -0.025114283
Beautiful 0.921890238 0.115394226
Charming 0.902306398 0.138171099
Favorite 0.894991338 0.046307605
Calm 0.883632875 -0.177324858
Cheerful 0.800734429 0.557142167
Swanky 0.780504913 0.674065295
Funny -0.718055535 0.586844132
Lively 0.199353347 0.950263054
Crowded 0.243656404 0.945828803
Exciting -0.058079067 0.907254039
Remarkable 0.366687188 0.885814567
Gorgeous -0.305178155 0.844292318
Bright 0.340734429 0.808441318
Warm 0.454123061 0.79036606
Open 0.179133633 0.750652953
Light 0.520504913 0.71660601
Urbanity 0.343843896 0.366060098
Quiet 0.18654283 -0.27535434
Contribution Rate 48.53% 31.53%
Cumulative
Contribution Rate
48.53% 80.06%
Based on the factor analysis results, it shows a
graph plotted together factor score of each sample
(Fig.7). The horizontal axis first factor [Evaluation]
factors, and the vertical axis is one that took the
[Activity] factor. The first factor [Evaluation] factor
is preferably enough to go to the positive side, this
indicates that it is not preferred as it goes to the
negative side, the second factor [Activity] has a
positive direction "lively thing" and "liveliness" it is
expressed, the negative direction indicates that
"settle" and a "gentle". Further parameters are the
two stages of the points indicated by triangles is
"night scene", the point indicated by diamonds
"daytime scenery".
From Fig.7, [Activity] in the "night landscape"
as a whole tendency, and [Evaluation] means that
has been shown to be higher than the "day
landscape". In particular, in the [Activity] of the
vertical axis, they tend to factor score can be greatly
increased in the "night landscape" was seen. This
difference is mainly is due appropriate landscape
lighting effects at night, as compared to it more
lively than "day landscape", it is believed that
because gave a certain impression of vitality.
Fig. 7. The rendering effect in each landscape
Specifically, particularly high landscape sample
of evaluation in the "Activities" of the vertical axis,
⑦Urban Place, ⑧ANA Hotel and ⑫Marie Toyama,
both of which are night landscape. Day and night of
⑬Ikedaya, day and night of ③Toyama castle, it is
very low factor score in the night of the ⑯ JR
Toyama Station was shown. The main cause of such
negative evaluation is due to the "vibrant and lively"
of the commercial and tourist facilities scenery,
historic landscape, such as ⑬Ikedaya and ③Toyama
castle is an al-quiet is calm." It is considered to be
because the relatively susceptible to impression.
On the other hand, Toyama Station of public
facilities, station square and sidewalks is relatively
narrow, is an adjective on the airy "light",
evaluation, such as "open" is low, also in the only
part in the night light-up the station building
①
②
③
④
⑤
⑥
⑦
⑧
⑨
⑩
⑪
⑫
⑬ ⑭
⑮
⑯
①
②
③
④
⑤
⑥
⑦
⑧
⑨
⑩
⑪
⑫
⑬
⑭
⑮
⑯
-1.5
-1
-0.5
0
0.5
1
1.5
-1.5 -1 -0.5 0 0.5 1 1.5
Evaluation
Activity
Day
Night
Jia Chen Int. Journal of Engineering Research and Applications www.ijera.com
ISSN: 2248-9622, Vol. 5, Issue 11, (Part - 2) November 2015, pp.108-114
www.ijera.com 113 | P a g e
Because only been implemented, that the overall
light is small and I are considered to mainly cause.
Also, the [Evaluation] of the horizontal axis,
day landscape and night view of high landscape
evaluation ⑩Toyama ring water’s park, noon Jing
and night view of Takashi countries Cultural Center
①, ③Toyama castle it is a night scene. On the other
hand, evaluation low landscape, ⑯ JR Toyama
Station, there was a daytime scenery and night view
of the ⑨ CIC building. From the above, a high
valuation landscape, green a lot, lighting tended to
stand out landscapes and beautifully lit up the
Toyama Castle unique landscapes such as an LED,
such as maintenance has been Toyama ring water
park. On the other hand, low landscape of the
valuation, the commercial ones, are in the city, such
as station building, include the landscape to receive
the mundane impression. Further, the main cause of
negative evaluation in night view of the CIC
building may be due to fluorescent mercury lamp
has been used to light up. As a feature of the
fluorescent mercury lamp illuminance for low color
rendering property but can be secured, the landscape
can be mentioned disadvantages would appear
dimensionally such as gray color. In addition, JR
Toyama Station, it is believed to inhibit the
[Evaluation] of the landscape due to the impact of
the wire such that has been spread around in large
utility pole and sky before station building.
In order to select the best night landscape from
the above results, for each landscape sample, first
factor score (Evaluation), second factor score
(Activity) a comprehensive evaluation value
obtained by adding the two factor score (The sum ) a
vertical bar graph comparing than to display in
Fig.8.
Fig. 8. Factor value of landscapes.
From the above, indicating night optimal view-
points in LRT wayside for each type of landscape
(Table 3). In order to select a view point, it is
desirable that the first factor as [Evaluation], second
factor [Activity] choose both together high, function
and the role that is determined by the type of
landscape to say the landscape and bite me different.
For example, such as the downtown commercial and
business landscape includes, but is liveliness and
vigor is a good thing high activity for sought, on the
other hand, such as the Toyama castle historic
landscape, the elements of such calm and tranquility
also important some because of the high score of
[Evaluation] is desirable.
Table 3. Night view points along the LRT line.
Landscape type The optimal nightscapes
Park ⑩ Toyama ring water park
Culture
① Koshinokuni museum of literature
⑥ Toyama international conference center
② Toyama shimin plaza
Business
⑦ Urban place
⑧ ANA crowne plaza toyama
⑫ Marier toyama
Public facility ⑤ Toyama city hall
History
③ Toyama castle
④ Toyama electrical building
By the way, the impression of the streets that
tourists and business travelers visiting the Toyama is
overlooking out of the Toyama Station, and directly
connected to Toyama impression, should be noted
and particularly important because it is a major
impact on consumer confidence and expectations
during your stay. But factor score of ⑯JR Toyama
station as shown in Fig.8 is very low value both
[Activity] and [Evaluation] , around utility wire
poles underground development future, such as the
improvement of the light-up and station building
design is required, it is important to attempt to
further image enhancement.
Jia Chen Int. Journal of Engineering Research and Applications www.ijera.com
ISSN: 2248-9622, Vol. 5, Issue 11, (Part - 2) November 2015, pp.108-114
www.ijera.com 114 | P a g e
IV. Conclusions
From this experiment, image evaluation for the
night landscape of LRT along the line has been
shown to tend to exceed this of daytime landscape,
the importance of nightscape has been recognized
again.
Leading to a night landscape, the first factor
[Evaluation] leads to the "amenities creation" and
"image-up effect" of the landscape. The second
factor [Activity] of a cityscape "creation of bustle" it
was found. Furthermore, in order to elect a more
preferred "night scene" is to be considered by the
factor analysis results about the factors scores
greater factor loading [Evaluation] and [Activity]
has been suggested to be effective.
To produce a beautiful attractive night
landscape, the role of the landscape lighting are
important, rather than merely applying illumination,
I considered there is a need to be done with an
understanding of the landscape of the characteristics
and purposes.
REFERENCES
[1] Y. Nakamura, Impression of the urban
landscape, Journal of the Illuminating
Engineering Society, 74(3), 1999, 143-148.
[2] A. Okutani, Y. Tada, Y. Kazutaka, About the
impression evaluation and fractal dimension of
landscape lighting, Kobe University
Developmental Sciences Research Bulletin,
7(1), 1999, 123-135.
[3] S. Nagayama, Y. Nakajima, Study of
impression evaluation and factor structure of
the landscape lighting to direct the historical
landscape, Japan lighting Journal, 87(5),
2003,319-327.
[4] J. Chen, M. Takamatsu, Y. Nakashima,
Evaluation of Landscape Lighting for Urban
Nightscape in a Snowy Region, Proc. 5th
Lighting Conference of China, Japan and
Korea, Tokyo, 2012, 283-286
[5] CE. Osgood, Semantic Differential Technique
in Comparative Study of Cultures, American
Anthropologist, 66(3), 1964, 171–200.
[6] T. Mamoru, S. Nagayama, Y. Nakajima,
Basic research of mental evaluation on the
night city landscape lighting, Journal of the
Japan Society of color ,26(1), 2002, 11-17

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Research on the characteristics and evaluation of nightscape along the LRT line

  • 1. Jia Chen Int. Journal of Engineering Research and Applications www.ijera.com ISSN: 2248-9622, Vol. 5, Issue 11, (Part - 2) November 2015, pp.108-114 www.ijera.com 108 | P a g e Research on the characteristics and evaluation of nightscape along the LRT line Jia Chen *, Mamoru Takamatsu * *(Faculty of Engineering, University of Toyama, Gofuku3190, Toyama city, 930-8555 Japan Email: mikutoyamajapan@yahoo.co.jp) ABSTRACT With people's increasing demand of nightlife activities, the nightscape has become more important than ever to enhance the image of city. In this study, we tried to analyze the effects and influence of the landscape lighting that produced the nightscape and pointed out that the optimal nightscapes along the LRT (Light Rail Transit) line. We selected the urban landscapes along the LRT wayside as the research objects, used the SD (Semantic Differential) technique to compare the difference between the daytime and the nighttime landscapes by the vision engineering and measurement psychology. As a result, it became clear as follows: 1) image evaluation of the nightscapes got higher estimation than that of daytime landscapes. The importance of the nightscape has been recognized once again; 2) landscape lighting played the important role in the charming nightscape; 3) the optimal nightscapes along the LRT routes could be chosen with the results of factor analysis. Keywords - Light rail transit, Nightscape, Landscape lighting, Image evaluation, Analysis of factors I. Introduction In recent years, with the development of city economy and citizens’ lifestyles, most people are busy at work during the day time, night time become their main leisure periods. People start to pay more attention to their nightlife activities in many places in Japan. Therefore, the night landscape of city is as important as how it looks like during the daytime. And sometimes, nightscape can make more impact on people’s mind about the city. A city’s nightscape can be treated as a re-introduction of the city during the night. With appropriate urban design and landscape lighting system, a city can draw very impressive pictures as its "Identification Card" to the whole world. Many cities, especially some metropolises, have already noticed the importance of nightscape and put efforts in their urban design, such as the nightscape of "Odaiba Rainbow Bridge" and "Tokyo Sky Tree" at Tokyo, Sapporo white illumination" and "Okurayama view point" at Sapporo , the nightscape of Fukuoka city etc.. On the other hand, many papers of landscape lighting design for urban nightscape have already been published such as Y. Nakamura et al. [1], A. Okutani et al. [2], S. Nagayama et al. [3] For example, Okutani et al. [2] for the impression of the landscape lighting, to perform an analysis of the fractal dimension by computer image processing, said the association about the impression evaluation and fractal dimension. In addition, S. Nagayama et al. [3] examined the color temperature of illumination light source most suitable for Japanese historical buildings. Nevertheless, there are very few papers to describe with respect to attractive creation of city that is based on the characteristics and evaluation of nightscape in cooperation with city development plan [4]. Fig. 1. Toyama castle and LRT vehicle a night. In this study, we picked up a major local city of japan, which introduced the Japan’s first full-scale LRT (Light Rail Transit) system [Fig.1]. By using visual engineering and psychometric approach, we compared with the nighttime landscape and daytime landscape, tried to analyze the effects and influence of the landscape lighting that produced the nightscape and pointed out that the optimal nightscapes along the LRT line. It is expect to provide basic data for building a beautiful and charming night urban landscape in the future. RESEARCH ARTICLE OPEN ACCESS
  • 2. Jia Chen Int. Journal of Engineering Research and Applications www.ijera.com ISSN: 2248-9622, Vol. 5, Issue 11, (Part - 2) November 2015, pp.108-114 www.ijera.com 109 | P a g e II. Experimental <1>Selection of experimental landscapes We selected a total of 16 places from 5 typical of the landscapes along the Toyama LRT line as well as those have been widely recognized by the citizens. (Table 1). (1) Cultural and exhibition facility (such as Koshinokuni museum), (2) Historical facility (such as Toyama castle), (3) Administration and public relations facility (such as JR Toyama station), (4) Commercial and tourist facility (such as ANA crowne plaza hotel), (5) Parks and green space facility (such as Toyama ring water park). Table 1. The number and name of each landscape. No Landscape name No Landscape name ① Koshinokuni Museum ⑨ CIC Building ② city Plaza ⑩ Toyama Ring water’s park ③ Toyama Castle ⑪ Daiwa Department Store ④ Toyama Electrical Building ⑫ Marier Toyama ⑤ Toyama City Hall ⑬ Ikedaya Store ⑥ Toyama International Conference Center ⑭ Northern Japan Newspaper office ⑦ Urban Place ⑮ Hokuriku Electric Company ⑧ ANA Crowne Plaza Toyama ⑯ JR Toyama Station <2> Preparation of samples The landscape photography samples were be selected an observation point that can understand the whole pictures and characteristics of the landscapes. (1)Photographic equipment as the shooting conditions digital camera (CANON EOS Kiss X5), lens focal length 35mm equivalent 28mm equivalent, dedicated tripod. (2)Take photos’ date and time to be selected in the good weather, during 11:00 to 15:00, and after sunset 19:00 to 21:00 by consider the order light. (3)Shoot position in LRT wayside road centerline supplementary near and then, the height from the ground to the center of the camera lens is set to 1.5 m. (4)Photography quality can be maintained at high quality pixels, the alignment condition of the four or more points. Our vision and visual angle also taken into consideration, and conscious so that it becomes a natural scenery samples as possible. According the above-described criteria were taken photographic samples. In reading all the photos have taken a personal computer, we have created day landscape 16 pieces, night landscape 16 pieces of a total of 32 points of the experimental observation for the landscape sample. Actually used the nightscape samples are shown in Fig.2 <3> Experimental method We did all of experiment under the conditions of a dark room. The distance of the subject's anterior 4 m place the screen (W2.4m × H1.8m) for presenting the landscape sample, using a projector, and is presented in a random one by one slide experimental landscape samples on the entire surface of the screen. (Fig.3). Fig. 2. Sample photos of nightscape in LRT line Fig. 3. Experimental image. Subject observed the presentation of the landscape sample in one minute, thereafter, evaluates the impression felt the scene sample data sheet using the SD method of psychological techniques. In order to prevent accidental filling, etc., it is assumed that fill one by one for one scene sample. The configuration of the subject are 25 students (18 males, 7 females) of the Faculty of Engineering
  • 3. Jia Chen Int. Journal of Engineering Research and Applications www.ijera.com ISSN: 2248-9622, Vol. 5, Issue 11, (Part - 2) November 2015, pp.108-114 www.ijera.com 110 | P a g e with 23.8 average age, both are familiar to the SD method. In addition, psychological subject, namely in consideration of feeling and physical condition, etc., in order to measure and reduce the error as much, experiments were performed while taking a break at fixed intervals. <4> Experiment SD method Semantic Differential technique is a typical method in performing landscape image evaluation test was developed by C.E.Osgood [5]. Impression evaluation by SD method, for a given impression measure, is an evaluation method for numerical select the degree to which subjects felt. This method, it is possible to quantify the evaluation value for each evaluation item, it is possible to comparative analysis between a plurality of target. We selected 20 pairs of impression adjective words in this experiment. Rating scale in seven stage such as neutral around the (0 points), toward the respective adjective little (1 or -1), quite (2 or -2), very (3 or -3) (Fig.1). Fig. 4. Bipolar scales defined with adjectives on each end. The analysis of the evaluation data of the SD method, we used the factor analysis method. This analysis made it possible to grasp the overall impression to the target from the impression words that are similar to. III. Results and Discussions <1> Impression results We showed an example of the image evaluation result impression evaluation results in Fig.5 (a) ~ (d). For each landscape sample, it is intended that the average value of all image evaluation results of the displayed on the polar coordinates. In each figure, placing the adjective of positive impression in the circumferential direction. The radially taking an evaluation value, the evaluation value of each adjective enough to be located outside the circle indicating that is high. Parameter is "night" and "day." First, Fig.5 (a) showed the average value, it can be said that shows the respective landscape evaluation trend day landscape and night landscape. Overall image evaluation of the day landscape and light-up night Landscape is, "night landscape ", the area surrounded by the closed curve in the order of "night landscape" is larger. That is, in the evaluation of the landscape samples showed that the image evaluation of the "night landscape" is above it in the overall the "day landscape". Then, we showed for individual landscape. In koshinokuni museum of Fig.5 (b), higher overall trend compared image evaluation is that of the daytime "night landscape" can be seen. The difference was remarkable in adjectives such as (urbanity), (gorgeous), (remarkable), (exciting), (crowded), (lively) and (warm). In Fig.5 (c) Toyama Castle, (light) and (quiet) a high evaluation value of "night scene" with the exception of the indicated. Specifically, the evaluation value of the adjective and such as (funny), (favorite), (remarkable), (comfortable), (harmonious), (attractive), (charming), (bright), (quiet), (calm) and (beautiful). On the other hand, JR Toyama station in Fig.5 (d), different from the previous results, the variation of the evaluation value is large, the tendency of evaluation is reversed in the [Day Landscape] and [night Landscape] is shown. In particular, the evaluation of adjectives such as (urbanity), (comfortable), (harmonious), (beautiful), (funny) and (light) value that has been shown very low. 0 very 3 quite 2 little 1 urbanity gorgeous favorite remarkable harmonious open crowded charming comfortable exciting lively swanky warm bright funny light quiet cheerful calm beautiful aflame ugly dreary heavy close noisy simple -1 quite -2 very -3 neutral little dark rural simple annoying nondescript uncomfortable unsophisticated cold unexciting inharmonious lonely uninviting apathetic
  • 4. Jia Chen Int. Journal of Engineering Research and Applications www.ijera.com ISSN: 2248-9622, Vol. 5, Issue 11, (Part - 2) November 2015, pp.108-114 www.ijera.com 111 | P a g e <2> Factor analysis By the analysis to better interpret the scene sample results factor analysis, on the basis of the results obtained from the subjects and subjected to factor analysis with respect to average data of an image evaluation of each adjective pair in the landscape sample it was [6]. In performing the factor analysis, principal component analysis was performed for firstly determining the number of factors. The eigenvalues of the factor for the correlation matrix between each adjective pair I is shown in Fig. 6. Eigenvalues 1.0 or more factors are two extraction (see Table 2) cumulative for the contribution rate was 80.06%, in consideration of the possibility of semantic interpretation is the number of factors and "2" was conducted factor analysis. As a result, it shows the contribution rate after varimax rotation until the resulting second factor and the factor loadings of each adjective pair in Table 2. Factor loadings indicates the influence factors on each evaluation item, factor of interpretation I went in load factors. The first factor is 48.53% contribution rate, (comfortable), (harmonious), (beautiful), (charming), (favorite) from being included adjectives such as, it was interpreted as [Evaluation] factor. The second factor is the contribution rate of 31.53%, (lively), (crowded), (exciting), (gorgeous), such as an adjective of factor loadings since the -3 -2 -1 0 1 2 3 urbanity gorgeous favorite remarkable comfortable exciting harmonious crowded charming lively swanky warm bright open quiet cheerful calm beautiful funny light -3 -2 -1 0 1 2 3 urbanity gorgeous favorite remarkable comfortable exciting harmonious crowded charming lively swanky warm bright open quiet cheerful calm beautiful funny light (a) Overall mean (b) koshinokuni museum of literature -3 -2 -1 0 1 2 3 urbanity gorgeous favorite remarkable comfortable exciting harmonious crowded charming lively swanky warm bright open quiet cheerful calm beautiful funny light -3 -2 -1 0 1 2 3 urbanity gorgeous favorite remarkable comfortable exciting harmonious crowded charming lively swanky warm bright open quiet cheerful calm beautiful funny light (c) Toyama castle (d) JR Toyama station Day ---- Night Fig. 5. The result in each landscape
  • 5. Jia Chen Int. Journal of Engineering Research and Applications www.ijera.com ISSN: 2248-9622, Vol. 5, Issue 11, (Part - 2) November 2015, pp.108-114 www.ijera.com 112 | P a g e amount is high, it was interpreted as [Activity] factor. 0 1 2 3 4 5 1 2 3 4 5 6 7 8 9 Factor number Eigenvalue Fig. 6. The intrinsic value of factor. Table 2. Factor loading to adjectives Variable Name No.1(Evaluation) No.2(Activity) Comfortable 0.969047172 0.04943547 Harmonious 0.934657141 -0.025114283 Beautiful 0.921890238 0.115394226 Charming 0.902306398 0.138171099 Favorite 0.894991338 0.046307605 Calm 0.883632875 -0.177324858 Cheerful 0.800734429 0.557142167 Swanky 0.780504913 0.674065295 Funny -0.718055535 0.586844132 Lively 0.199353347 0.950263054 Crowded 0.243656404 0.945828803 Exciting -0.058079067 0.907254039 Remarkable 0.366687188 0.885814567 Gorgeous -0.305178155 0.844292318 Bright 0.340734429 0.808441318 Warm 0.454123061 0.79036606 Open 0.179133633 0.750652953 Light 0.520504913 0.71660601 Urbanity 0.343843896 0.366060098 Quiet 0.18654283 -0.27535434 Contribution Rate 48.53% 31.53% Cumulative Contribution Rate 48.53% 80.06% Based on the factor analysis results, it shows a graph plotted together factor score of each sample (Fig.7). The horizontal axis first factor [Evaluation] factors, and the vertical axis is one that took the [Activity] factor. The first factor [Evaluation] factor is preferably enough to go to the positive side, this indicates that it is not preferred as it goes to the negative side, the second factor [Activity] has a positive direction "lively thing" and "liveliness" it is expressed, the negative direction indicates that "settle" and a "gentle". Further parameters are the two stages of the points indicated by triangles is "night scene", the point indicated by diamonds "daytime scenery". From Fig.7, [Activity] in the "night landscape" as a whole tendency, and [Evaluation] means that has been shown to be higher than the "day landscape". In particular, in the [Activity] of the vertical axis, they tend to factor score can be greatly increased in the "night landscape" was seen. This difference is mainly is due appropriate landscape lighting effects at night, as compared to it more lively than "day landscape", it is believed that because gave a certain impression of vitality. Fig. 7. The rendering effect in each landscape Specifically, particularly high landscape sample of evaluation in the "Activities" of the vertical axis, ⑦Urban Place, ⑧ANA Hotel and ⑫Marie Toyama, both of which are night landscape. Day and night of ⑬Ikedaya, day and night of ③Toyama castle, it is very low factor score in the night of the ⑯ JR Toyama Station was shown. The main cause of such negative evaluation is due to the "vibrant and lively" of the commercial and tourist facilities scenery, historic landscape, such as ⑬Ikedaya and ③Toyama castle is an al-quiet is calm." It is considered to be because the relatively susceptible to impression. On the other hand, Toyama Station of public facilities, station square and sidewalks is relatively narrow, is an adjective on the airy "light", evaluation, such as "open" is low, also in the only part in the night light-up the station building ① ② ③ ④ ⑤ ⑥ ⑦ ⑧ ⑨ ⑩ ⑪ ⑫ ⑬ ⑭ ⑮ ⑯ ① ② ③ ④ ⑤ ⑥ ⑦ ⑧ ⑨ ⑩ ⑪ ⑫ ⑬ ⑭ ⑮ ⑯ -1.5 -1 -0.5 0 0.5 1 1.5 -1.5 -1 -0.5 0 0.5 1 1.5 Evaluation Activity Day Night
  • 6. Jia Chen Int. Journal of Engineering Research and Applications www.ijera.com ISSN: 2248-9622, Vol. 5, Issue 11, (Part - 2) November 2015, pp.108-114 www.ijera.com 113 | P a g e Because only been implemented, that the overall light is small and I are considered to mainly cause. Also, the [Evaluation] of the horizontal axis, day landscape and night view of high landscape evaluation ⑩Toyama ring water’s park, noon Jing and night view of Takashi countries Cultural Center ①, ③Toyama castle it is a night scene. On the other hand, evaluation low landscape, ⑯ JR Toyama Station, there was a daytime scenery and night view of the ⑨ CIC building. From the above, a high valuation landscape, green a lot, lighting tended to stand out landscapes and beautifully lit up the Toyama Castle unique landscapes such as an LED, such as maintenance has been Toyama ring water park. On the other hand, low landscape of the valuation, the commercial ones, are in the city, such as station building, include the landscape to receive the mundane impression. Further, the main cause of negative evaluation in night view of the CIC building may be due to fluorescent mercury lamp has been used to light up. As a feature of the fluorescent mercury lamp illuminance for low color rendering property but can be secured, the landscape can be mentioned disadvantages would appear dimensionally such as gray color. In addition, JR Toyama Station, it is believed to inhibit the [Evaluation] of the landscape due to the impact of the wire such that has been spread around in large utility pole and sky before station building. In order to select the best night landscape from the above results, for each landscape sample, first factor score (Evaluation), second factor score (Activity) a comprehensive evaluation value obtained by adding the two factor score (The sum ) a vertical bar graph comparing than to display in Fig.8. Fig. 8. Factor value of landscapes. From the above, indicating night optimal view- points in LRT wayside for each type of landscape (Table 3). In order to select a view point, it is desirable that the first factor as [Evaluation], second factor [Activity] choose both together high, function and the role that is determined by the type of landscape to say the landscape and bite me different. For example, such as the downtown commercial and business landscape includes, but is liveliness and vigor is a good thing high activity for sought, on the other hand, such as the Toyama castle historic landscape, the elements of such calm and tranquility also important some because of the high score of [Evaluation] is desirable. Table 3. Night view points along the LRT line. Landscape type The optimal nightscapes Park ⑩ Toyama ring water park Culture ① Koshinokuni museum of literature ⑥ Toyama international conference center ② Toyama shimin plaza Business ⑦ Urban place ⑧ ANA crowne plaza toyama ⑫ Marier toyama Public facility ⑤ Toyama city hall History ③ Toyama castle ④ Toyama electrical building By the way, the impression of the streets that tourists and business travelers visiting the Toyama is overlooking out of the Toyama Station, and directly connected to Toyama impression, should be noted and particularly important because it is a major impact on consumer confidence and expectations during your stay. But factor score of ⑯JR Toyama station as shown in Fig.8 is very low value both [Activity] and [Evaluation] , around utility wire poles underground development future, such as the improvement of the light-up and station building design is required, it is important to attempt to further image enhancement.
  • 7. Jia Chen Int. Journal of Engineering Research and Applications www.ijera.com ISSN: 2248-9622, Vol. 5, Issue 11, (Part - 2) November 2015, pp.108-114 www.ijera.com 114 | P a g e IV. Conclusions From this experiment, image evaluation for the night landscape of LRT along the line has been shown to tend to exceed this of daytime landscape, the importance of nightscape has been recognized again. Leading to a night landscape, the first factor [Evaluation] leads to the "amenities creation" and "image-up effect" of the landscape. The second factor [Activity] of a cityscape "creation of bustle" it was found. Furthermore, in order to elect a more preferred "night scene" is to be considered by the factor analysis results about the factors scores greater factor loading [Evaluation] and [Activity] has been suggested to be effective. To produce a beautiful attractive night landscape, the role of the landscape lighting are important, rather than merely applying illumination, I considered there is a need to be done with an understanding of the landscape of the characteristics and purposes. REFERENCES [1] Y. Nakamura, Impression of the urban landscape, Journal of the Illuminating Engineering Society, 74(3), 1999, 143-148. [2] A. Okutani, Y. Tada, Y. Kazutaka, About the impression evaluation and fractal dimension of landscape lighting, Kobe University Developmental Sciences Research Bulletin, 7(1), 1999, 123-135. [3] S. Nagayama, Y. Nakajima, Study of impression evaluation and factor structure of the landscape lighting to direct the historical landscape, Japan lighting Journal, 87(5), 2003,319-327. [4] J. Chen, M. Takamatsu, Y. Nakashima, Evaluation of Landscape Lighting for Urban Nightscape in a Snowy Region, Proc. 5th Lighting Conference of China, Japan and Korea, Tokyo, 2012, 283-286 [5] CE. Osgood, Semantic Differential Technique in Comparative Study of Cultures, American Anthropologist, 66(3), 1964, 171–200. [6] T. Mamoru, S. Nagayama, Y. Nakajima, Basic research of mental evaluation on the night city landscape lighting, Journal of the Japan Society of color ,26(1), 2002, 11-17