Payment Behavior Prediction and Statistical Analysis for Shared Parking Lots

2021 ◽  
pp. 288-293
Author(s):  
Qingyu Xu ◽  
Feng Zhang ◽  
Mingde Zhang ◽  
Jidong Zhai ◽  
Jiazao Lin ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Behavior Prediction ◽  
Parking Lots

scholarly journals EVALUASI KANTONG PARKIR DI KAWASAN UGM DAN DESAIN PERANCANGAN TRANSPORTASI KAMPUS YANG TERINTEGRASI

Jurnal PenSil ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 8-17
Author(s):  
Muhammad Iqbal Habibi Kamal ◽  
Muhammad Zudhy Irawan ◽  
Raihan Pasha Isheka
Keyword(s):  
Statistical Analysis ◽  
Architectural Design ◽  
Descriptive Analysis ◽  
Development Planning ◽  
Transportation System ◽  
Ideal Condition ◽  
Transit Oriented Development ◽  
Parking Lots ◽  
Data Collection Process ◽  
Parking Lot

The focus of this study is by the quality increase of UGM parking lots. Parking lots performance is evaluated at the beginning of this study and continued with the development planning as a parking lot that integrated with the campus transportation system. The aim of this study is to examine the UGM parking lots facilities caused by the phenomenon of an increase in the number of student vehicles that occur every year. The data collection process was done by field observation and interview using questioner. The data is processed by counting-analysis of parking characteristic and descriptive analysis related students' responses about the development of campus transportation system. After that, the Transit Oriented Development (TOD) principle area is planned to create conducive area in the transportation system. The result of statistical analysis showed there was no ideal condition in between both of parking lot samples, with parking index 135% for the Eastern Faculty of Philosophy parking lot and 103% for the PPB South parking lot. In addition, based on the TOD assessment metric according to ITDP (2014), UGM scored 74 out of 100. Therefore, alternative solution given by this study were architectural design as parking lots, pedestrian sidewalk, bicycle road, and bus-campus route. The effort created to bring UGM to be one of educopolis campus.  

Payment behavior prediction on shared parking lots with TR-GCN

2022 ◽  
Author(s):  
Qingyu Xu ◽  
Feng Zhang ◽  
Mingde Zhang ◽  
Jidong Zhai ◽  
Bingsheng He ◽  
...  
Keyword(s):  
Behavior Prediction ◽  
Parking Lots

scholarly journals PewLSTM: Periodic LSTM with Weather-Aware Gating Mechanism for Parking Behavior Prediction

2020 ◽  
Author(s):  
Feng Zhang ◽  
Ningxuan Feng ◽  
Yani Liu ◽  
Cheng Yang ◽  
Jidong Zhai ◽  
...  
Keyword(s):  
New York ◽  
State Of The Art ◽  
Prediction Method ◽  
Well Being ◽  
Behavior Prediction ◽  
Parking Lots ◽  
Gating Mechanism ◽  
Smart Parking ◽  
Reservation System ◽  
Parking Place

In big cities, there are plenty of parking spaces, but we often find nowhere to park. For example, New York has 1.4 million cars and 4.4 million on-street parking spaces, but it is still not easy to find a parking place near our destination, especially during peak hours. The reason is the lack of prediction of parking behavior. If we could provide parking behavior in advance, we can ease this parking problem that affects human well-being. We observe that parking lots have periodic parking patterns, which is an important factor for parking behavior prediction. Unfortunately, existing work ignores such periodic parking patterns in parking behavior prediction, and thus incurs low accuracy. To solve this problem, we propose PewLSTM, a novel periodic weather-aware LSTM model that successfully predicts the parking behavior based on historical records, weather, environments, and weekdays. PewLSTM has been successfully integrated into a real parking space reservation system, ThsParking, which is one of the top smart parking platforms in China. Based on 452,480real parking records in 683 days from 10 parking lots, PewLSTM yields 85.3% parking prediction accuracy, which is about 20% higher than the state-of-the-art parking behavior prediction method. The code and data can be obtained fromhttps://github.com/NingxuanFeng/PewLSTM. 

Statistical analysis of classification

1966 ◽  
Vol 24 ◽  
pp. 188-189
Author(s):  
T. J. Deeming
Keyword(s):  
Multivariate Analysis ◽  
Statistical Analysis ◽  
Classification Scheme ◽  
Analytical Procedure ◽  
Narrow Band ◽  
Scientific Research ◽  
Maximum Amount ◽  
Amount Of Information

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.

Quantitative parallel EELS spectrum imaging developed as a new tool in AEM

1992 ◽  
Vol 50 (2) ◽  
pp. 1202-1203
Author(s):  
Gianluigi Botton ◽  
Gilles L'espérance
Keyword(s):  
Statistical Analysis ◽  
Spatial Resolution ◽  
Personal Computer ◽  
Systematic Study ◽  
Present Author ◽  
Chemical Elements ◽  
Detection Limits ◽  
Research Groups ◽  
Quantitative Performance ◽  
Spectrum Imaging

As interest for parallel EELS spectrum imaging grows in laboratories equipped with commercial spectrometers, different approaches were used in recent years by a few research groups in the development of the technique of spectrum imaging as reported in the literature. Either by controlling, with a personal computer both the microsope and the spectrometer or using more powerful workstations interfaced to conventional multichannel analysers with commercially available programs to control the microscope and the spectrometer, spectrum images can now be obtained. Work on the limits of the technique, in terms of the quantitative performance was reported, however, by the present author where a systematic study of artifacts detection limits, statistical errors as a function of desired spatial resolution and range of chemical elements to be studied in a map was carried out The aim of the present paper is to show an application of quantitative parallel EELS spectrum imaging where statistical analysis is performed at each pixel and interpretation is carried out using criteria established from the statistical analysis and variations in composition are analyzed with the help of information retreived from t/γ maps so that artifacts are avoided.

Statistical analysis related to fetal heart rate patterns

1979 ◽  
Vol 135 (1) ◽  
pp. 168
Author(s):  
H. William Perlis ◽  
John F. Huddleston
Keyword(s):  
Heart Rate ◽  
Statistical Analysis ◽  
Fetal Heart Rate ◽  
Fetal Heart

Intraindividual Variability in Development Within and Between Individuals

2001 ◽  
Vol 6 (3) ◽  
pp. 187-193 ◽  
Author(s):  
John R. Nesselroade
Keyword(s):  
Statistical Analysis ◽  
Research Design ◽  
Intraindividual Variability ◽  
Factor Analytic

A focus on the study of development and other kinds of changes in the whole individual has been one of the hallmarks of research by Magnusson and his colleagues. A number of different approaches emphasize this individual focus in their respective ways. This presentation focuses on intraindividual variability stemming from Cattell's P-technique factor analytic proposals, making several refinements to make it more tractable from a research design standpoint and more appropriate from a statistical analysis perspective. The associated methods make it possible to study intraindividual variability both within and between individuals. An empirical example is used to illustrate the procedure.

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