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Reduction of high speed railway speed has an influence on not only high speed railway passenger flow but also passenger flow of the public transport system within the scope of relevant transportation corridor.
This paper will use the Logit choice model, analysis of changing of passenger travel mode choice facing reduction of high-speed railway.
Efficient operation results will guide further diversification of high speed passenger products and high speed railway passenger transport organization based on data and analysis.
The Actual influence of Wuhan Guangzhou High-speed Railwayspeed reduction Combined with the actual case, the market changes brought to the train diagram adjustment of high-speed railway have the intuitive description of the image.
High-speed Rail quantity statistics before and after July 1, 2011 areshown as follows: Table 5 The Schedule of High speed rail before and after the change of capacity G D sum Before 128 0 128 After 122 20 142 From June 20, 2011 to June 26th and July 4, 2011 to July 10.Analysis of ticket data collected in these two stages,mainly put 20 on the D prefix train.

Therefore, we have to acquire the correct and integrated data by data preprocessing.
Data Alignment.
Simplifying data is to reduce the large amount of redundant data in points cloud.
Its can be simplified by command Modify→Data Reduction→Chordal Deviation and by altering the value of Max.
Converting Points Cloud Data.

This paper studies the influence on the Lateral Stiffness of Frame Structure, to provide Earthquake Fortifying Areas with reference data in the design process of filling wall.
The Influence of 0pening Rate on the Lateral Stiffness of Filling Frame.Analysis found that the stiffness reduction factor of model is decreasing as the opening rate of wall is increasing.
When the positions of openings on filling wall are different, the size of the stiffness reduction factor and the speed of change are different.
When the door opening is on the left (the side of equivalent brace), the stiffness reduction factor of model l=0.94, when the door opening is in the center, the stiffness reduction factor of model l=0.54, and such factor l=0.35 when the door opening is on the right(the corner area of equivalent brace ).
The opening rate of wall has obvious reduction effect on the stiffness of filling frame, and for the same opening rate, when the position of openings are different, the stiffness reduction effect of filling frame is also different.

Before we get stuck inlisting the benefits of this solution for retail chains and the possibility to yield information and knowledge from the obtained data, let us define two terms.
For example, the most important strength is the ability to automate the data collection which will significantly reduce the costs of marketing surveys.
The negative publicity and initial distrust of customers due to the loss of personal data or sensitive data were determined as the threat with the highest degree of importance here.
Table 11 ST strategy   Strengths   Threats 1 Automatic data collection 1 Negative publicity 2 Localization of cart position 2 Initial mistrust of customers (loss of personal data, sensitive data) 3 Minimisation of costs of marketing research 3 Destruction of tags 4 Bulk reading of carts 4 Decreased interest of employees in work (control, loss of privacy) 5 Reuse and high resistance of tags 5 Theft of tags 6 High reading distance 6 Software threats - viruses 7 Easy to install RFID infrastructure 8 Optimisation of storage of cleaning equipment utilisation 9 Minimisation of theft and loss For the confrontation strategy, it is very important to use all strengths and eliminate as many threats as possible.
The work will be led up to the possibilities of data mining and visualization of outputs using sophisticated software tools.

Transition layer material properties are connected with properties of soil and introduced into the same data sets.
The layers abutting on the cluster under consideration or those inside it get the same data set.
Data set of the interface-layer has its own strength reduction coefficient Rinter (Brinkgreve [6]).
As a result of comparison of experimental data and analysis of the structure according to the proposed model the range of approximate values of strength reduction coefficient has been proposed.
Stress values calculated on the proposed model have been compared with experimental data.

Shape Optimization One of key aspects of sustainability is reduction of primary material consumption.
Aggregated LCA results: Aggregated impact data for specific life cycle phases construction are presented in Table 1.
Table 1 Aggregated impact data of construction life phase The higher water consumption of V3 (subtle HPC frame) in comparison to V2 (precast RC frame) in construction life phase (Table 1) is connected with production of lightening elements from wood shavings concrete.
Fig. 9 Aggregated data – primary energy consumption per unit area of all alternatives in MJ Figure 10 presents the comparison of assessed alternatives. 100% is represented by V1 (monolithic RC frame structure from C30/37).
Fig. 10 Aggregated data – primary energy consumption per unit area of all alternatives in MJ.

By frequency spectrum analysis before noise reduction and after noise reduction, Identify the source of main noise, points out relative elements gears 26/54, and presents some methods to decrease the noise: the methods of gear correction, improving the vibration resistance of mechanism, reducing noise in the view of process and control noise transmission.
(a) (b) (a) Noise frequency spectrum analysis before noise reduction (b) Noise frequency spectrum analysis after noise reduction Fig. 2 The analysis of the frequency spectrum Frequency spectrum analysis and results The meshing frequency calculation for each pairs of gears in transmission chain.
Ying, Waveform and Frequency Analysis and Random Data Processing, (China Railway Publishing House, Chinese, 1985) [2] P.

Fig. 2a displays the ϕ2=0 and 45° sections of the ODF which was obtained by a GIA simulation (cf. infra) of a 70% rolling reduction applied on a random texture of an FCC material.
a (levels: 1-2-4-6-8) b (levels: .8-1.0-1.3-1.6-2.0-2.5-3.2) c Fig. 2: (a) Calculated FCC rolling texture obtained by simulating a 70% rolling reduction with the GIA model, (b) calculated BCC transformation texture obtained by applying the K-S transformation rules on the texture of Fig. 2a, (c) typical BCC transformation texture observed after transformation of the deformed austenite structure. experimental data on the high temperature austenite texture prior to transformation or either to the lack of understanding of the transformation mechanism.
After a cold rolling reduction of 70% the conventional α/γ fibre texture of Fig. 3b is measured.
In this respect there is also a need for still more extensive experimental data gathering.
These data seem to suggest that the texture increasingly intensifies with rolling reductions as high as 99.9%, which agrees well with the conventional Taylor or Sachs type models which predict an ultimate stable orientation for a given deformation mode.

First, this paper chose three representative regions on construction land carbon intensity, namely Beijing, Hubei province and Guizhou province; second, based on LMDI method, it analyzed the contribution of different industrial carbon intensity effect and industrial structure effect to construction land carbon intensity in different regions between 2002 and 2008, the results show proposing the second industrial’s energy efficiency(65.11%) was crucial for Beijing, different industries’s energy efficiency(110.5%) was important for Hubei, energy efficiency and industrial structure optimizing were crucial equally for Guizhou; finally it proposed different regions should find carbon reduction ways to local conditions.
Different industrial carbon intensity effect: (5) Industrial structure effect: (6) Data Source and Processing The construction land carbon emissions data was obtained by calculating energy consumption indirectly, see [9] for more details.
Land area data come from ZhongGuo GuoTu ZiYuan TongJi NianJian and TuDi LiYong BianGeng DiaoCha Baogao, et al, and was made summary and arrangement.
The second industries carbon intensity cumulative effect become the main contribution to the carbon emissions reduction gradually.
The third industries structure cumulative effect was feeble compared to the reduction proportion of the second industries.

The reduction in radius.
Consequently, the 360 of data of reduction in radius can be obtained whenever the calculation of a whole revolution (360 steps) of workpiece has been finished.
Repeating this cycle for five same workpieces and measuring their roundness with a roundness measurement instrument give five data of roundness.
The average value of the five data is then regarded as the roundness under the given geometrical arrangement.
After resetting the geometrical arrangement and performing the same grinding and measuring process as above described, other data of roundness are obtained for the corresponded conditions.