scholarly journals DEMAND RESEARCH FOR “PARK AND RIDE” PARKING LOTS

2018 ◽  
Vol 17 (1) ◽  
pp. 42-50 ◽  
Author(s):  
A. O. Lobashov ◽  
S. B. Dulfan ◽  
A. V. Prasolenko ◽  
K. V. Dolya ◽  
D. L. Burko
Keyword(s):  
Questionnaire Survey ◽  
Urban Transportation ◽  
Traffic Networks ◽  
Traffic Demand ◽  
Parking Lots ◽  
Suburban Areas ◽  
On Demand ◽  
Park And Ride ◽  
Transportation Distance ◽  
The City

The paper presents results of demand research for “park and ride” parking lots in the city of Kharkiv. The analysis of the previous research pertaining to demand for “park and ride” parking lots has been carried out in the paper. Disadvantages of the existing methods have been identified as well. A methodology in research on demand for “park and ride” demand for “park and ride” parking lots in the city of Kharkiv according to various characteristics. Distribution of traffic parking lots in the city of Kharkiv has been developed and it is based on modelling of transportation correspondence distribution on traffic networks and a questionnaire survey of car drivers. The obtained data have made it possible to segment the demand for drivers representing suburban areas according to frequency of visits to the city by private cars has been determined in the paper. Drivers’ satisfaction with their efficient movement through the city has been assessed in the paper. Segmentation of traffic demand in the places of possible locations for “park and ride” parking lots has been made according to urban transportation distance and on the basis of modelling distribution of transport correspondences. Quantity demanded for “park and ride” parking lots in the Kharkiv city in dependence to conditions for services has been calculated according to a questionnaire survey of car drivers. It has been established that conditions for parking services significantly determine the demand for “park and ride” parking lots. Analysis of segmentation results concerning the demand for “park and ride” parking lots has shown that under current condions demand for this type of parkings in Kharkiv is at rather low level and they are practically absent in case of 5 km urban transportation distance. Parameters demonstrating dependence of demand for “park and ride” parking lots on transportation distance through the city have beendetermined in the paper. The obtained results of the research are considered as initial data to study demand for “park and ride” parking lots.

Simulation of Potential Use Cases for Shared Mobility Services in the City of Ann Arbor

2021 ◽  
pp. 036119812110045
Author(s):  
Richard Twumasi-Boakye ◽  
Xiaolin Cai ◽  
James Fishelson ◽  
Andrea Broaddus
Keyword(s):  
Motor Vehicle ◽  
Simulation Software ◽  
Use Cases ◽  
Transportation Services ◽  
On Demand ◽  
Park And Ride ◽  
Mobility Service ◽  
Shared Mobility ◽  
Ann Arbor ◽  
The City

In this paper, we model and simulate special use cases of on-demand shared mobility services for the City of Ann Arbor, MI. We define shared mobility as any motor-vehicle-served transportation option between private vehicles and public transit, such as taxis, demand-responsive transit, and dynamic shuttles. Here, we present and evaluate a suite of four different service types that could potentially complement existing transportation services in Ann Arbor. A novel aspect of this study is that it tests scenarios that were developed in consultation with city planners looking for insights into real-world problems. This study used fleet simulation software to test four service configuration scenarios for a hypothetical on-demand shared mobility service: citywide shuttle, a corridor-based downtown shuttle, a park and ride shuttle, and a transit-complementary service. Three levels of demand were tested for each scenario: 3%, 9%, and 15% of all private vehicle trips in the city. Findings indicated that citywide on-demand shared mobility services struggled to achieve higher vehicle occupancies than private vehicles at approximately 1.4. Service configurations with aggregated trip density resulted in slightly improved occupancies, as found in downtown- and park and ride shuttle scenarios. More impactful was aggregating demand by moving from “many-to-many” routing as with citywide floating services to “many-to-one” routing as with downtown- or park and ride shuttle services, which increased vehicle occupancy from 1.4 to almost 2. Lastly, we also discuss the potential benefits of reduced congestion and parking needs.

scholarly journals On-Demand Channel Bonding in Heterogeneous WLANs: A Multi-Agent Deep Reinforcement Learning Approach

Sensors ◽  
2020 ◽  
Vol 20 (10) ◽  
pp. 2789 ◽  
Author(s):  
Hang Qi ◽  
Hao Huang ◽  
Zhiqun Hu ◽  
Xiangming Wen ◽  
Zhaoming Lu
Keyword(s):  
Reinforcement Learning ◽  
Transmission Rate ◽  
Single Agent ◽  
Time Of Day ◽  
Action Space ◽  
Traffic Load ◽  
Traffic Demand ◽  
Channel Bonding ◽  
On Demand ◽  
Multi Agent

In order to meet the ever-increasing traffic demand of Wireless Local Area Networks (WLANs), channel bonding is introduced in IEEE 802.11 standards. Although channel bonding effectively increases the transmission rate, the wider channel reduces the number of non-overlapping channels and is more susceptible to interference. Meanwhile, the traffic load differs from one access point (AP) to another and changes significantly depending on the time of day. Therefore, the primary channel and channel bonding bandwidth should be carefully selected to meet traffic demand and guarantee the performance gain. In this paper, we proposed an On-Demand Channel Bonding (O-DCB) algorithm based on Deep Reinforcement Learning (DRL) for heterogeneous WLANs to reduce transmission delay, where the APs have different channel bonding capabilities. In this problem, the state space is continuous and the action space is discrete. However, the size of action space increases exponentially with the number of APs by using single-agent DRL, which severely affects the learning rate. To accelerate learning, Multi-Agent Deep Deterministic Policy Gradient (MADDPG) is used to train O-DCB. Real traffic traces collected from a campus WLAN are used to train and test O-DCB. Simulation results reveal that the proposed algorithm has good convergence and lower delay than other algorithms.

SPATIAL STRUCTURE TRANSFORMATION OF THE ULAN-UDE CITY WESTERN AND SOUTHERN SUBURBS

2021 ◽  
Vol 27 (5) ◽  
pp. 99-106
Author(s):  
А. Badmaev ◽  
◽  
В. Sharaldaev ◽  
Keyword(s):  
Spatial Structure ◽  
Road Transport ◽  
Residential Areas ◽  
City Center ◽  
Huge Number ◽  
Non Profit ◽  
Suburban Areas ◽  
Historical Factors ◽  
The Village ◽  
The City

The article analyzes the processes of suburbanization and transformation of the spatial structure of the city of Ulan-Ude. Modern trends in the growth of Western and historical factors of development, due to socio-economic and historical factors of development. In the 1990s-2000s, because of the decline in agriculture and, as a result, the lack of jobs, the rural population began to migrate massively to the Buryat Republic’s capital. However, the prices for houses and apartments in the city center were unbearable for many migrants, so the purchase of land plots and the construction of houses were affordable for many. The estrangement of agricultural lands and their inclusion in residential areas allowed the city of Ulan-Ude and suburban areas to somewhat expand the territory of settlements and create a huge number of GNPP (gardeners non-profit partnership) and DNPP (dacha non-profit partnership). The city and suburban areas were not ready for such a flow and were not able to provide the newly arrived migrants with social, road transport and communal infrastructure. As a result, the city was surrounded by a suburbia almost devoid of any infrastructure. There are some elements of false urbanization or squatter area, which is a type of urbanization in which the urban population rapid growth is not accompanied by a commensurate increase in urban functions. In recent years, the growth rate of suburban settlements has decreased, mainly due to mortgages, which have become more affordable for the population and the growth of multi-storey construction. In addition, the village is slowly depleting the human resources that feed the city and the suburbs. In other words, those who wanted to move to the city have already moved

scholarly journals Migrations of city dwellers to suburban areas – the example of the city of Olsztyn

2012 ◽  
Vol 18 (18) ◽  
pp. 117-124 ◽  
Author(s):  
Agnieszka Szczepańska ◽  
Adam Senetra
Keyword(s):  
Spatial Structure ◽  
Precast Concrete ◽  
Residential Areas ◽  
Dominant Group ◽  
Migration Patterns ◽  
Rural Districts ◽  
Concrete Buildings ◽  
Suburban Areas ◽  
The City

AbstractThe migration of city dwellers to suburbs is a commonly observed phenomenon. The growth of residential areas on the fringes of cities is referred to as suburbanisation. In the present study, migration patterns were investigated in rural districts located in the direct vicinity of the administrative boundaries of Olsztyn over a 10-year timespan. Several hundred building plot purchase/sale transactions in the form of notarial deeds were analysed to determine the dwelling place of the buyer. The analysis of the transactions revealed that the dominant group of purchasers were owners of apartments in multi-family precast concrete buildings, located in the city quarter closest to the studied suburbs. Changes in the spatial structure of suburban areas were also noted.

Study on Location Planning of Regional Parking

2012 ◽  
Vol 178-181 ◽  
pp. 1748-1752
Author(s):  
Xin Jie Zhang
Keyword(s):  
Location Planning ◽  
Chinese Cities ◽  
Parking Lots ◽  
Parking Lot ◽  
The City

Parking difficulty is being a highlighted problem in nowadays' cities. As a reality of planning of parking lots in Chinese cities are later than other countries, and also parking lot planning are based on city blueprint and needs of parking places, as well as limit of making parking lot plan, we can make a model on planning and choosing parking lot fields to find the most suitable scheme. Thus it can bring the greatest benefit to the whole area in the city, and also make a reference to planning of the parking lot construction in area.

scholarly journals Prediksi Perubahan Penggunaan Lahan dan Pola Berdasarkan Citra Landsat Multi Waktu dengan Land Change Modeler (LCM)

2021 ◽  
Vol 5 (1) ◽  
pp. 10-18
Author(s):  
Herlawati Herlawati ◽  
Fata Nidaul Khasanah ◽  
Prima Dina Atika ◽  
Rafika Sari ◽  
Rahmadya Trias Handayanto
Keyword(s):  
Land Use ◽  
Suburban Areas ◽  
Green Areas ◽  
Accuracy Result ◽  
Prediction And Forecasting ◽  
Business As Usual ◽  
The City ◽  
Land Types ◽  
Regional Types

Land use/cover greatly affect the quality of an area. Therefore, many regional planners need assistance byother fields, such as geoinformatics, computer science, environment, and others. Although prediction and forecasting have been widely studied, in regardto real conditions (geospatial)itstill needmoredevelopment, especially thoseinvolving a combination of regional types, such as urban and suburban areas. This study uses a remote sensing base and geographic information system in predicting land in the city and district of Bekasi, West Java, Indonesia. With two scenarios compared (business as usual and vegetation conservation), the model that has been created and validated (with an AUC accuracy result of 0.828) is used to predict land use change until 2030. Scenarios with vegetation conservation are able to keep green areas to switch to land types others, such as buildings and industry

scholarly journals A pattern of alcohol consumption among marijuana users in the adult population of the city of Gdańsk

2020 ◽  
Vol 10 (1) ◽  
pp. 9-14
Author(s):  
Maciej Brosz
Keyword(s):  
Substance Use ◽  
Alcohol Consumption ◽  
Questionnaire Survey ◽  
Representative Sample ◽  
Adult Population ◽  
Psychoactive Substance ◽  
Psychoactive Substances ◽  
Psychoactive Substance Use ◽  
The City

Alcohol and marijuana are the most commonly used psychoactive substances both in Europe and Poland. In the last four years the proportion of marijuana users in the adult population of Gdańsk has almost doubled: from 7.1% in 2015 to 14.1% in 2019. The surveys concerning the consumption of alcohol conducted every four years since 2007 indicate a significant fact: the proportion of people who drink is decreasing. However, this does not mean that they drink less or less often. A question elaborated in this article is whether marijuana users consume more or less alcohol than non-users. This article is based on the data collected in a questionnaire survey on alcohol and other psychoactive substance use conducted in Gdańsk in the autumn of 2019 on a representative sample of 1,004 adult residents of the city.

scholarly journals Pilgrims’ Motivation for Travelling to the Iasi Feast

2019 ◽  
Vol 8 (2) ◽  
pp. 157-175
Author(s):  
Maria Tatarusanu ◽  
Valentin Niță ◽  
Iațu Corneliu ◽  
Gina-Ionela Butnaru ◽  
Elena Ciortescu
Keyword(s):  
Questionnaire Survey ◽  
Quantitative Research ◽  
Demographic Profile ◽  
Religious Tourism ◽  
Travel Motivations ◽  
The City

Abstract Either due to religious and spiritual motivations or to personal ones, religious pilgrimages have become increasingly popular during the last decades. The article proposes a study concerning the motivations of pilgrims who travel to Iasi every year in October to attend a religious event organized in the city. The main goal of this paper is to present the results of the research concerning the main travel motivations of pilgrims. The issue is whether their socio-demographic profile influences their travel motivations and the extent to which pilgrims’ satisfaction is determined by the travel motivations they declare. This is quantitative research which uses a questionnaire survey, based on the data provided by 441 respondents. The results are important for the scholars in religious tourism and for destination managers who use this kind of data to improve their planning and organisational activities of such events.

scholarly journals Effect of Community Road Infrastructure, Socio-Demographic and Street Pattern in Promoting Walking as Sustainable Transportation Mode

2019 ◽  
Vol 13 (1) ◽  
pp. 25-34
Author(s):  
Shakil Mohammad Rifaat ◽  
Mosabbir Pasha ◽  
Richard Tay ◽  
Alex De Barros
Keyword(s):  
Greenhouse Gas ◽  
Oil And Gas ◽  
Greenhouse Gas Emission ◽  
Sustainable Transportation ◽  
Community Level ◽  
Gas Emission ◽  
Road Infrastructure ◽  
Traffic Demand ◽  
Street Pattern ◽  
The City

Background: Traffic demand is growing worldwide and the increased carbon emission from transport and travel activities is contributing to greenhouse gas emission and climate change. As the oil and gas capital of Canada, the city of Calgary has a very high carbon footprint per population and the reduction of automobile use is an important policy goal for the city. Walking, a part of active transportation promotes sustainable transportation initiative by reducing greenhouse gas emission. To encourage walking, favorable walking environment should be ensured which largely depends on street pattern and connectivity. However, the effect of street pattern on walking at community level was not explored much in previous studies, particularly at rapidly expanding city such as Calgary’s context. Aims and Objectives: The study identifies the effects of different neighborhood design and planning factors associated with the share of walking in work trips while controlling for differences in social economic characteristics of the neighborhood. Methods: A linear regression model was developed using community-level data from the 2011 census and the road infrastructure data of Calgary. Results: Our study finds that different street patterns and types of land use, length of train tracks, number of train stations and number of schools have significant effect on walking. Conclusion: Thus, different neighbourhood street patterns and land uses should be considered in the development of new communities for promoting active and sustainable transportation.

scholarly journals FAKTOR – FAKTOR YANG MEMPENGARUHI PERMINTAAN TANAMAN ANGGREK (Orchidaceae) DI KOTA MEDAN

2018 ◽  
Vol 4 (2) ◽  
pp. 129
Author(s):  
Khairunnisa Rangkuti
Keyword(s):  
Statistical Analysis ◽  
Confidence Level ◽  
Secondary Data ◽  
T Test ◽  
Demand Elasticity ◽  
On Demand ◽  
Independent Variable ◽  
Consumer Tastes ◽  
The City

The purpose of this study was to determine the effect of prices, consumer tastes, income and location / place to Requests Orchid Plant in the city of Medan, and to know the Demand Elasticity of orchids in the city of Medan. The data collected from the data Primary and Secondary Data. Based on the results of testing statistical analysis obtained by value Multiple R of 86.6%. The value of F table at the level of 0.05 is thus calculated F 2,76 = 18.801> F table = 2.76 at 95% confidence level. Furthermore, in testing T test, to see the effect of demand factors partially on the request of orchids, the value of the T-table 2.045 with a confidence level of 86.6%. X2, X3 and X4 real impact While real variables X1 No Effect on Demand (Y). Analysing the value of Elasticity, Elastic Retrieved much as 3.395> 1. Demand level of sensitivity to the independent variable (tastes, income, and location) of 3.395.

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