scholarly journals Development of Parking Demand Model for Private Hospital in Developing Country (Case Study of Denpasar City, Indonesia)

2017 ◽  
Vol 10 (5) ◽  
pp. 52 ◽  
Author(s):  
Putu Alit Suthanaya
Keyword(s):  
Motor Vehicle ◽  
Population Increase ◽  
Annual Growth Rate ◽  
Demand Model ◽  
Private Hospitals ◽  
The Road ◽  
Motor Cycle ◽  
Demand Models ◽  
Class 1 ◽  
Parking Demand

Denpasar City is the capital of Bali Province and the center of activities in Bali, Indonesia. The population continue to increase with the annual growth rate of 2%. As the number of population increase, the number of facilities including health facility also continue to increase. The traffic volume is predominated by private motor vehicle (where 80% is motor cycle) as lack of public transport service available. The trip attraction to hospital increases, however parking spaces provided are very limited. As the results the visitors usually park their vehicles on street around the hospital. This has caused a significant reduction in the road capacity. Therefore, it is required to accurately estimate parking demand both for car and motor cycle. The objectives of this study are to analyze parking characteristics and to develop parking demand models for car and motor cycle. Five private hospitals were considered in this study. Parking data were collected and used to model parking demand based on simple and multiple liner regression models. The results of this study indicated that the parking index for all private hospitals has exceeded 1. The number of beds for room class 1 was found to be the main predictor for parking demand for car. However, the number of hospital’s employees was found to be the best predictor for parking demand for motor cycle. 

scholarly journals TOD Parking Demand Models for New Urban Areas in China

2020 ◽  
Vol 12 (20) ◽  
pp. 8406
Author(s):  
Zhenyu Mei ◽  
Liang Kong ◽  
Wenchao Zheng
Keyword(s):  
Urban Areas ◽  
Measurement Model ◽  
Travel Cost ◽  
Sustainable Urban Development ◽  
Hangzhou Bay ◽  
Transit Oriented Development ◽  
Demand Model ◽  
Core Element ◽  
Demand Models ◽  
Parking Demand

At present, many new urban areas adopt the transit-oriented development (TOD) exploitation concept to achieve sustainable urban development, accurately predict parking demand under TOD exploitation, determine factors that influence demand, and establish demand models that are essential to the formation of a reasonable traffic structure in the new urban area. The present study aims to establish a scientific and reasonable parking demand model for TOD exploitation in new urban areas. Influencing factors of parking demand in new urban areas under the concept of TOD are determined, and a framework for a parking demand model is constructed. A travel cost measurement model for travel structures at different travel distances is established, considering travel cost as the core element, given that it affects the travel structure at different distances. Finally, taking the Hangzhou Bay New District as an example, the costs of various travel structures under TOD exploitation are calculated, and the reasonable parking demand is calculated. From the perspective of parking management, the concept of TOD is effectively supported.

scholarly journals Unusual airway injury following a motor vehicle collision

CJEM ◽  
2015 ◽  
Vol 17 (5) ◽  
pp. 569-570
Author(s):  
Christopher Sampson
Keyword(s):  
Emergency Department ◽  
Neck Pain ◽  
Motor Vehicle ◽  
Motor Vehicle Collision ◽  
Pickup Truck ◽  
The Road ◽  
Airway Injury ◽  
Vehicle Collision

A 16-year-old male presented to the emergency department following a single-truck motor vehicle collision. The patient was the driver of an older model pickup truck that he lost control of while driving and went off of the road. He was restrained with a lap belt only, given the age of the vehicle. His only complaint at the presenting hospital was left-sided neck pain and hoarseness.

Regional Bicycle Network Evaluation and Strategic Planning: A Quantitative Methodological Approach Despite Limited Data Sources for Cycling

2021 ◽  
pp. 036119812110288
Author(s):  
Alex van Dulmen ◽  
Martin Fellendorf
Keyword(s):  
Travel Demand ◽  
Choice Model ◽  
Methodological Approach ◽  
Data Availability ◽  
Data Sources ◽  
Test Case ◽  
Demand Model ◽  
Limited Data ◽  
Demand Models ◽  
Bicycle Infrastructure

In cases where budgets and space are limited, the realization of new bicycle infrastructure is often hard, as an evaluation of the existing network or the benefits of new investments is rarely possible. Travel demand models can offer a tool to support decision makers, but because of limited data availability for cycling, the validity of the demand estimation and trip assignment are often questionable. This paper presents a quantitative method to evaluate a bicycle network and plan strategic improvements, despite limited data sources for cycling. The proposed method is based on a multimodal aggregate travel demand model. Instead of evaluating the effects of network improvements on the modal split as well as link and flow volumes, this method works the other way around. A desired modal share for cycling is set, and the resulting link and flow volumes are the basis for a hypothetical bicycle network that is able to satisfy this demand. The current bicycle network is compared with the hypothetical network, resulting in preferable actions and a ranking based on the importance and potentials to improve the modal share for cycling. Necessary accompanying measures for other transport modes can also be derived using this method. For example, our test case, a city in Austria with 300,000 inhabitants, showed that a shift of short trips in the inner city toward cycling would, without countermeasures, provide capacity for new longer car trips. The proposed method can be applied to existing travel models that already contain a mode choice model.

scholarly journals Model Contrast of Autonomous Vehicle Impacts on Traffic

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Derek Hungness ◽  
Raj Bridgelall
Keyword(s):  
Autonomous Vehicles ◽  
Travel Demand ◽  
Autonomous Vehicle ◽  
Sociodemographic Factors ◽  
Vehicle Miles Traveled ◽  
The Road ◽  
Traffic Conditions ◽  
Demand Models ◽  
Wide Range ◽  
Potential Benefits

The adoption of connected and autonomous vehicles (CAVs) is in its infancy. Therefore, very little is known about their potential impacts on traffic. Meanwhile, researchers and market analysts predict a wide range of possibilities about their potential benefits and the timing of their deployments. Planners traditionally use various types of travel demand models to forecast future traffic conditions. However, such models do not yet integrate any expected impacts from CAV deployments. Consequently, many long-range transportation plans do not yet account for their eventual deployment. To address some of these uncertainties, this work modified an existing model for Madison, Wisconsin. To compare outcomes, the authors used identical parameter changes and simulation scenarios for a model of Gainesville, Florida. Both models show that with increasing levels of CAV deployment, both the vehicle miles traveled and the average congestion speed will increase. However, there are some important exceptions due to differences in the road network layout, geospatial features, sociodemographic factors, land-use, and access to transit.

scholarly journals Surface tyre imprints caused by a motorcycle collision rather than by being run over

2018 ◽  
Vol 59 (1) ◽  
pp. 4-8
Author(s):  
Ning Xiao ◽  
Sheng-Dong Li ◽  
Xue Zhang ◽  
Yan-Geng Yu ◽  
Fu Zhang ◽  
...  
Keyword(s):  
Traffic Accident ◽  
Motor Vehicle ◽  
Forensic Autopsy ◽  
Surveillance Videos ◽  
Traffic Police ◽  
The Road

Tyre imprints on the skin are usually considered to be the result of being run over by a motor vehicle. This article reports a traffic accident in which tyre marks on the victim’s skin were caused by a collision rather than by being run over. The mechanism of the injury in this case is analysed and discussed. A 23-year-old male drove a motorcycle while under the influence of alcohol and collided with a sign pillar on the side of the road. Both the victim and the motorcycle careened into the bottom of a tractor-trailer. No witnesses or surveillance videos could confirm the process of the accident. Because tyre imprints were found on the victim’s skin, traffic police believed that he had been run over during the accident. However, forensic autopsy and analysis of the accident process revealed that the true cause of the imprints was a collision between the victim’s body and a tyre.

scholarly journals ANALISIS POLA KONSUMSI DAN MODEL PERMINTAAN IKAN MENURUT KARAKTERISTIK RUMAH TANGGA DI INDONESIA

2018 ◽  
Vol 13 (1) ◽  
pp. 73 ◽  
Author(s):  
Freshty Yulia Arthatiani ◽  
Nunung Kusnadi ◽  
Harianto Harianto
Keyword(s):  
Fish Consumption ◽  
Income Elasticity ◽  
Fish Distribution ◽  
Consumption Patterns ◽  
Demand System ◽  
Coefficient Of Determination ◽  
Almost Ideal Demand System ◽  
Demand Model ◽  
Demand Models ◽  
The Government

ABSTRAKTujuan penelitian ini adalah untuk mendeskripsikan pola konsumsi ikan di Indonesia dan mengidentifikasi faktor-faktor yang mempengaruhi permintaan ikan menurut karakteristik rumah tangga di Indonesia. Penelitian ini menggunakan data SUSENAS yang dilaporkan oleh Badan Pusat Statistik pada bulan Maret 2016. Pola konsumsi ikan dianalisis menggunakan statistik deskriptif dan model permintaan ikan dianalisis dengan menggunakan pendekatan model Linnear Approximation Almost Ideal Demand System (LA/AIDS). Hasil riset menunjukkan bahwa pola konsumsi rumah tangga di Indonesia dikelompokkan menjadi konsumsi ikan air laut segar sebesar 22.10 kg/kapita/tahun, ikan air tawar/payau segar sebesar 16.75 kg/kapita/tahun, udang segar sebesar 9.58 kg/kapita/tahun dan ikan olahan sebesar 4.22 kg/kapita/tahun. Dugaan model permintaan memberikan hasil cukup baik dengan 82.15% dari semua peubah berpengaruh signifikan terhadap fungsi permintaan kelompok ikan dan koefisien determinasi sebesar 27.06%. Nilai elastisitas pendapatan mengindikasikan bahwa seluruh kelompok ikan merupakan barang normal dan ikan olahan cenderung inelastis, sedangkan dari nilai elastisitas harga menunjukkan tanda negatif yang sesuai dengan teori ekonomi. Nilai elastisitas silang antar kelompok ikan menunjukkan hubungan yang bervariasi antar kelompok. Implikasi kebijakan yang dapat disarankan untuk meningkatkan konsumsi ikan segar adalah dengan peningkatan ketersediaan ikan melalui kebijakan peningkatan produksi dan peningkatan efektifitas distribusi ikan. Kebijakan promosi dan edukasi masih diperlukan untuk meningkatkan konsumsi ikan olahan karena sifatnya yang inelastis  terhadap perubahan harga dan pendapatan.Title: Analysis of Fish Consumption Patterns and Fish Demand Model Based on Household’s Characteristics in IndonesiaABSTRACTThis study aims to describe the pattern of fish consumption in Indonesia and to identify factors affecting household’s fish demand in Indonesia as well as estimating the elasticities of income and price. The data analyzed were mainly obtained from the SUSENAS Database-a nation social economy survey  conduct by the Indonesian Bureau of Statistic (BPS- during march 2016. Fish consumption patterns were analyzed using descriptive statistical analysis, while fish demand models were analyzed by Linnear Approximation Almost Ideal Demand System (LA/AIDS). Research shows that household consumption patterns in Indonesia are grouped into consumption of marine fish at 22.10 kg / capita / year, freshwater/brackish fish at 16.75 kg / capita / year, fresh shrimp at 9.58 kg / capita / year and processed fish amounted to 4.22 kg / capita / year. The estimation of the demand model gives quite good results with82,15% of all variables have a significant effect on the demand function of fish groups and the coefficient of determination is 27.06%. The value of income elasticity showed that all fish groups are normal goods and were negatively related to prices. The cross elasticities showed variation relationship between fish groups. With such result, in order for the government to be able to push the fish consumption level furtherwould require an increasing fish availbility through policies to increase production and effectiveness of fish distribution for fresh fish. Meanwhile education and promotion policies are necessary to increase consumption of processed fish because of their inelastic demand for changes in prices and income.

scholarly journals ANALISA CLUSTERING PADA DATA PELANGGARAN LALULINTAS DI PENGADILAN NEGERI DUMAI DENGAN MENGGUNAKAN METODE K-MEANS

2019 ◽  
Vol 4 (2) ◽  
pp. 1
Author(s):  
Elisawati Elisawati ◽  
Deasy Wahyuni ◽  
Adi Arianto
Keyword(s):  
Clustering Analysis ◽  
Motor Vehicle ◽  
District Court ◽  
Central Cluster ◽  
The Road ◽  
The Poor ◽  
Cluster Data ◽  
Traffic Violations ◽  
On The Road

The order of traffic on the road is very important for motorists on the highway, the lack of awareness of motor vehicle users and the poor drivers of traffic discipline make the level of traffic violations in driving on the highway always increase so that the number of ticket data received by the Dumai District Court. This research was conducted to analyze and classify data violations using the k-means method to facilitate knowing the types of violations that are often violated by vehicle users. The attributes to be analyzed are the types of violations and types of vehicles. The test was carried out using the Rapidminer 5 application where the data tested was data from the Dumai District Court on December 2017, as many as 616 violations. Central cluster data consists of 3 clusters, namely C1 = Many, C2 = moderate and C3 = few who commit traffic violations. So the results of the data obtained where C1 produces 1 data, C2 gets as much as 4 data and C3 as many as 7 data. Where the type of violation that is often violated is the type of violation that does not use a helmet and the type of vehicle is a motorcycle. From the results of this study can be used or can be followed up with the holding of socialization to reduce the number of traffic violations. Keywords: Clustering Analysis, K-Means, Traffic Violations, Rapidminer

scholarly journals Development of the "Technical Service" Program for Enterprises Working with the GLONASS System and Containing a Large Vehicle Fleet

2021 ◽  
pp. 93-98
Author(s):  
Р.Д. Адакин ◽  
И.М. Соцкая
Keyword(s):  
Fuel Consumption ◽  
Motor Vehicle ◽  
Technical Service ◽  
Short History ◽  
Service Program ◽  
The Road ◽  
Technical Personnel ◽  
History Of ◽  
Vehicle Fleet ◽  
On The Road

Представлена разработанная программа «Технический сервис», обменивающаяся информацией с базой данных систем ГЛОНАСС/GPS. Данная программа работает по сети и позволяет оповещать технический персонал, занимающийся обслуживанием, ремонтом и выпуском на линию или в рейс автотранспорта, напоминая ему о времени наступления прохождения технического обслуживания (ТО) для каждой единицы техники предприятия. При этом идёт информирование о количестве заменяемых жидкостей, марок и кодов фильтров, с краткой историей о неисправностях и ДТП техники, а также дублированием всей информации с системы ГЛОНАСС: расход топлива, пробег, скорость, марки и госномера техники. Разработанная программа имеет следующие возможности: хранит список техники с государственными номерами, постоянно обновляя данные о пробегах автотранспорта; хранит для каждой единицы техники необходимую информацию для проведения ТО автотранспорта, краткую историю о крупных неисправностях, проведённых капитальных ремонтах и ДТП автотранспорта. Данную информацию можно распечатать или сохранить на компьютер. Вовремя проведённое ТО является основой и залогом безотказной работы автотранспорта, что сказывается на успешном ведении бизнеса. The developed program "Technical Service" is presented, exchanging information with the database of GLONASS/GPS systems. This program works on the network and allows you to notify technical personnel engaged in service, repair and release on the road or on a motor vehicle trip, reminding them of the time of receipt of maintenance operation (MOT) for each unit of the enterprise equipment. At the same time, there is information about the number of liquids, grades and filter codes to be replaced with a short history of equipment malfunctions and accidents of vehicles, as well as duplication of all information from the GLONASS system: fuel consumption, mileage, speed, brands and license plates of vehicles. The developed program has the following capabilities: stores a list of vehicles with license plates, constantly updating data on vehicle mileage, and stores for each unit of equipment the necessary information for maintenance operation of vehicles, a short history of major malfunctions, major repairs and accidents of vehicles. This information can be printed or saved to a computer. Timely maintenance operation is the basis and key to the failure-free operation of vehicles, which affects the successful conduct of business.

scholarly journals State-of-the-art review: preventing child and youth pedestrian motor vehicle collisions: critical issues and future directions

2020 ◽  
pp. injuryprev-2020-043829 ◽  
Author(s):  
Marie-Soleil Cloutier ◽  
Emilie Beaulieu ◽  
Liraz Fridman ◽  
Alison K Macpherson ◽  
Brent E Hagel ◽  
...  
Keyword(s):  
Risk Factors ◽  
English Language ◽  
Motor Vehicle ◽  
State Of The Art ◽  
Intersectoral Collaboration ◽  
Future Directions ◽  
Vehicle Collisions ◽  
The Road ◽  
Vehicle Collision ◽  
Critical Issues

AimTo undertake a comprehensive review of the best available evidence related to risk factors for child pedestrian motor vehicle collision (PMVC), as well as identification of established and emerging prevention strategies.MethodsArticles on risk factors were identified through a search of English language publications listed in Medline, Embase, Transport, SafetyLit, Web of Science, CINHAL, Scopus and PsycINFO within the last 30 years (~1989 onwards).ResultsThis state-of-the-art review uses the road safety Safe System approach as a new lens to examine three risk factor domains affecting child pedestrian safety (built environment, drivers and vehicles) and four cross-cutting critical issues (reliable collision and exposure data, evaluation of interventions, evidence-based policy and intersectoral collaboration).ConclusionsResearch conducted over the past 30 years has reported extensively on child PMVC risk factors. The challenge facing us now is how to move these findings into action and intervene to reduce the child PMVC injury and fatality rates worldwide.

scholarly journals Using multiple hybrid spatial design network analysis to predict longitudinal effect of a major city centre redevelopment on pedestrian flows

2019 ◽  
Author(s):  
Crispin H. V. Cooper ◽  
Ian Harvey ◽  
Scott Orford ◽  
Alain J. F. Chiaradia
Keyword(s):  
Network Analysis ◽  
Shortest Path ◽  
City Centre ◽  
Demand Model ◽  
Railway Stations ◽  
Spatial Design ◽  
Demand Models ◽  
Directional Change ◽  
Spatial Network Analysis ◽  
Changes Over Time

AbstractPredicting how changes to the urban environment layout will affect the spatial distribution of pedestrian flows is important for environmental, social and economic sustainability. We present longitudinal evaluation of a model of the effect of urban environmental layout change in a city centre (Cardiff 2007–2010), on pedestrian flows. Our model can be classed as regression based direct demand using Multiple Hybrid Spatial Design Network Analysis (MH-sDNA) assignment, which bridges the gap between direct demand models, facility-based activity estimation and spatial network analysis (which can also be conceived as a pedestrian route assignment based direct demand model). Multiple theoretical flows are computed based on retail floor area: everywhere to shops, shop to shop, railway stations to shops and parking to shops. Route assignment, in contrast to the usual approach of shortest path only, is based on a hybrid of shortest path and least directional change (most direct) with a degree of randomization. The calibration process determines a suitable balance of theoretical flows to best match observed pedestrian flows, using generalized cross-validation to prevent overfit. Validation shows that the model successfully predicts the effect of layout change on flows of up to approx. 8000 pedestrians per hour based on counts spanning a 1 km2 city centre, calibrated on 2007 data and validated to 2010 and 2011. This is the first time, to our knowledge, that a pedestrian flow model with assignment has been evaluated for its ability to forecast the effect of urban layout changes over time.

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