Travel Time Map of Szczecin Main Railway Station

2017 ◽  
Author(s):  
Joanna Tomala ◽  
Krzysztof Pokonieczny ◽  
Albina Moscicka ◽  
Anna Wilbik
Keyword(s):  
Travel Time ◽  
Public Transportation ◽  
Good Accuracy ◽  
Population Distribution ◽  
Measurement Data ◽  
Absolute Error ◽  
Control Points ◽  
Railway Station ◽  
The Absolute ◽  
The City

This article presents the research on time accessibility of public transport. The study concerned the territory of Szczecin and travelling from anywhere in the city to the Main Railway Station. A self-gathering measurement data method was used, which was developed by Authors in earlier studies. Szczecin was selected as the test area because of the shape of the city as well as the location and shape of the excluded areas (areas not accessible to pedestrians or cyclists). Two travel maps were created, for daytime and nighttime public transportation. The study used 162 measurement points arranged in 1x1 km grids. Travel times to the Main Railway Station were calculated with the use of the jakdojade.pl online service. They were calculated for each measurement point and these values were then interpolated with the IDW method. The travel time maps were evaluated by computing the absolute error on the basis of 10 control points. The absolute error was not greater than 4 minutes, what proves very good accuracy of research. The results of the analysis were compared with the population distribution in Szczecin. The interdependence of population distribution and accessibility of the Main Railway Station was analysed.

scholarly journals Measuring when Uber behaves as a substitute or complement to transit: An examination of travel-time differences in Toronto

2019 ◽  
Author(s):  
Mischa Young ◽  
Jeff Allen ◽  
Steven Farber
Keyword(s):  
Travel Time ◽  
Public Transportation ◽  
Ordinary Least Squares ◽  
Gap Filling ◽  
Service Levels ◽  
Transit Service ◽  
Logistic Regressions ◽  
Transit Agencies ◽  
Using Data ◽  
The City

Policymakers in cities worldwide are trying to determine how ride-hailing services affect the ridership of traditional forms of public transportation. The level of convenience and comfort that these services provide is bound to take riders away from transit, but by operating in areas, or at times, when transit is less frequent, they may also be filling a gap left vacant by transit operations. These contradictory effects reveal why we should not merely categorize all ride-hailing services as a substitute or supplement to transit, and demonstrate the need to examine ride-hailing trips individually. Using data from the 2016 Transportation Tomorrow Survey in Toronto, we investigate the differences in travel-times between observed ride-hailing trips and their fastest transit alternatives. Ordinary least squares and ordered logistic regressions are used to uncover the characteristics that influence travel-time differences. We find that ride-hailing trips contained within the City of Toronto, pursued during peak hours, or for shopping purposes, are more likely to have transit alternatives of similar duration. Also, we find differences in travel-time often to be caused by transfers and lengthy walk- and wait-times for transit. Our results further indicate that 31% of ride-hailing trips in our sample have transit alternatives of similar duration (≤ 15 minute difference). These are particularly damaging for transit agencies as they compete directly with services that fall within reasonable expectations of transit service levels. We also find that 27% of ride-hailing trips would take at least 30 minutes longer by transit, evidence for significant gap-filling opportunity of ride-hailing services. In light of these findings, we discuss recommendations for ride-hailing taxation structures.

scholarly journals KARAKTERISTIK DAN POLA PERGERAKAN PENDUDUK KOTA BATAM DAN HUBUNGANNYA DENGAN PERKEMBANGAN WILAYAH HINTERLAND

2016 ◽  
Vol 4 (1) ◽  
Author(s):  
Imam Setyohadi
Keyword(s):  
Travel Time ◽  
Public Transportation ◽  
Rural Areas ◽  
Industrial Development ◽  
Coastal Region ◽  
Industrial Area ◽  
City Center ◽  
The People ◽  
The Many ◽  
The City

Batam Island’s role as an industrial development center causes fast-paced growth in many sectors with an uneven inhabitant distribution. With most people inhabit the Batam city.The hinterland area is characterised by islands and housing pattern of community clusters in the form of fishermen’s neighborhood along the coastal region with most of the houses are semi-permanent buildings. Most of people’s activities there are consisted of fishing. With limited infrastructure, the mode of transportation used in between the many islands there is with motor boats (Pancung). This is very much in contrast with the condition down the Batam City, in terms of its socio-economic, housing and other aspects.This research is aimed at figuring out the reason as to why people prefer to have their house located in rural areas and finding out the characteristic pattern of people’s movement around the Batam Island.Samples were taken using the sample random proporsional method. Samples were taken randomly from many districts with a proper ratio of people from weak, middle and upper class economic strata. The data were then analyized with cross classification.Results show that people chose rural areas because that where the industrial locations are so that it is closer for them to go to work, and the housin price or rent there are relatively cheaper too. Whereas people who chose to live in the Batam City do so because they want to improve their livelyhood by opening up alternative businesses other than working within the industry.People’s traveling destination is in and around the rural areas because it is where the industries are located evenly and the rest of them travel to the areas surrounding Batam Island. Such as people of Nongsa, 23% of the travel to the Kabil industrial area, and 12% of them go to the city center (Nagoya). In contrast, people of the Sekupang District, 29% of them travel only in and around Sekupang area. Other than that only 2% of Batam inhabitants travel to the islands surrounding Batam Island. Whereas for the people of Sei Beduk, 29% of them go to Muka Kuning and 14% of them to the city center. And for the people of Lubuk Baja District, 32% of them go to the city center (Nagoya), because it is actually the CBD center.The type of transportation used by people in rural areas are mostly private vehicles because they are thought to be more comfortable and safe, as is the case for Nongsa and Sekupang. Nonetheless, 2% of Sekupang inhabitants use motor boats to travel to the islands surrounding Batam Island. In Nongsa, 36% of the people use motorcycle, public transportation account for 32%, and in Sekupang car owners are around 35%. Contrary, the people of Sei Beduk are mostly using public transportation, 42%, due to the already availabel public road and vehicles and only 34% use cars.As for the distance covered by those people, Nongsa and Sekupang residents are 42% cover around 5-10 Km with a travel time of 20-30 minutes a day. Whereas the people of Sei Beduk, 45% of them only cover 105 km in around 10 minutes a day due to the proximity of their living place with the industrial location.On the other hand, Lubuk Baja (city center) people are 43% using cars,  for the are much more comfortable and allow them to have higher mobility. And only 31% of the inhabitants there use public transportation. Most of the people there cover 1-5 km (52%) to 5-10 km (27%) a day with a travel time of around 10 to 20-30 minutes. 

scholarly journals Implementation of road charging in the city of Žilina – a tool for reducing negative externalities

2019 ◽  
Vol 294 ◽  
pp. 04009
Author(s):  
Alica Kalašová ◽  
Veronika Harantová ◽  
Simona Kubíková ◽  
Jerzy Mikulski
Keyword(s):  
Travel Time ◽  
Urban Area ◽  
Public Transportation ◽  
Negative Externalities ◽  
Social Survey ◽  
Traffic Volumes ◽  
The City

It has been proven on several implementations worldwide, that introducing of road charging scheme in urban area is very simple and efficient way to reduce traffic volumes, lower congestions and shorten travel time. Herewith, there is a possibility of utilization of charged money, e.g. for financing of public transportation. In our paper, based on analysis of traffic intensities and results of social survey, we describe a proposal of charging schema for the central part of the city of Žilina in Slovakia.

scholarly journals Introducing a Navigation Algorithm for Reducing the Spread of Diseases in Public Transport Networks

2021 ◽  
Author(s):  
Jens Klinker ◽  
Mohamed Hechem Selmi ◽  
Mariana Avezum ◽  
Stephan Jonas
Keyword(s):  
Travel Time ◽  
Public Transport ◽  
Public Transportation ◽  
Urban Traffic ◽  
Planning Problem ◽  
Navigation Algorithm ◽  
Urban Public Transport ◽  
Flow Through ◽  
The Impact ◽  
The City

Reducing passenger flow through highly frequented bottlenecks in public transportation networks is a well-known urban planning problem. This issue has become even more relevant since the outbreak of the SARS-CoV-2 pandemic and the necessity for minimum distances between passengers. We propose an approach that allows to dynamically navigate passengers around dangerously crowded stations to better distribute the passenger load across an entire urban public transport network. This is achieved through the introduction of new constraints into routing requests, that enable the avoidance of specific nodes in a network. These requests consider walks, bikes, metros, subways, trams and buses as possible modes of transportation. An implementation of the approach is provided in cooperation with the Munich Travel Corporation (MVG) for the city of Munich, to simulate the effects on a real city’s urban traffic flow. Among other factors, the impact on the travel time was simulated given that the two major exchange points in the network were to be avoided. With an increase from 26.5 to 26.8 minutes on the average travel time, the simulation suggests that the time penalty might be worth the safety benefits.

scholarly journals Proposal of a Multicriteria Method to Implement New Primary Health Care Units - a Case Study in São Carlos - SP

2021 ◽  
Vol 73 (4) ◽  
pp. 1071-1085
Author(s):  
Lucas Brandão Monteiro de Assis ◽  
Paulo César Lima Segantine
Keyword(s):  
Health Care ◽  
Primary Health Care ◽  
Public Transportation ◽  
Population Distribution ◽  
Main Tool ◽  
Raster Calculator ◽  
Primary Health ◽  
Multicriteria Method ◽  
The City

Primary Health Care (PHC) is understood as the user's first contact with the Brazilian health system. The planning of PHC units is usually done based on political decisions, which neglect technical aspects related to the theme. The general objective of this study is to present a multicriteria method to assist in planning the implantation of new PHC units, through technical and objective criteria. Then this method is put into practice in the city of São Carlos - SP. The study used as the main tool the Geographic Information System (GIS), and evaluated the quality of six criteria, which are: (1) service area; (2) spatial constraints; (3) risk of natural events; (4) public transportation supply; (5) population distribution; and (6) average income. Each criterion was based on a series of indicators with clear definitions that allowed for the assignment of values according to the theme of the criterion. Each criterion culminated in a thematic map, which, when combined through a raster calculator, allowed the general classification of the study area and the viability of implanting new PHC units. The proposed method proved to be a technical and objective tool, capable of helping in the planning of new PHC units. This is exemplified in the case study in the city of São Carlos- SP.

scholarly journals ANÁLISE DA ACESSIBILIDADE DA POPULAÇÃO DA CIDADE DE MONTES CLAROS/MG À UMA ESCOLA PÚBLICA POR TRANSPORTE COLETIVO

2020 ◽  
Vol 16 (01) ◽  
pp. 329-343
Author(s):  
Narciso Ferreira Santos Neto ◽  
Rodrigo Marques do Nascimento ◽  
José Luiz Lopes Teixeira Filho
Keyword(s):  
Travel Time ◽  
Public Transportation ◽  
Social Role ◽  
Minas Gerais ◽  
The North ◽  
Palabras Clave ◽  
City Population ◽  
Traffic Generator ◽  
The City ◽  
Sistemas De Informacion

As cidades médias se destacam pelo seu caráter dinâmico, centralizador, atrativo de mercadoria, serviços e pessoas. A cidade de Montes Claros, localizada no norte de Minas Gerais, tem demonstrado tais características através do intenso fluxo de viagens demandado pela população aos Polos Geradores de Tráfego. Nesse cenário, necessita-se de um modo capaz de suprir a carência de transporte das pessoas, de maneira segura, econômica, sustentável e racionalizando. O ônibus, gerido por meio de diretrizes do Estado, se apresenta como melhor opção em relação aos automóveis particulares, uma vez que reduzem congestionamento e exercem papel social. Nessa perspectiva, o presente trabalho analisa a acessibilidade por transporte público coletivo ao polo gerador de tráfego (Escola Estadual Professor Plínio Ribeiro), localizado na Avenida Mestra Fininha, número 1225, bairro Jardim São Luiz, em Montes Claros – MG. Essa análise leva em conta o tempo de viagem (tempo de espera e tempo de percurso) por transporte público com ligação direta a escola e utiliza Sistemas de Informações Geográficas para armazenamento, processamento e espacialização dos dados coletados. A partir daí, sugere-se o nível de acessibilidade dos moradores da cidade de Montes Claros à escola Estadual Professor Plínio Ribeiro, o qual se mostrou com melhores resultados na área central e, quase sempre, reduziu-se à medida que se aproximava das regiões periféricas. Palavras-chave: Cidades Médias. Transporte Público Coletivo. Acessibilidade. Montes Claros.   ANALYSIS OF THE ACCESSIBILITY OF THE CITY POPULATION OF MONTES CLAROS / MG TO A PUBLIC SCHOOL FOR COLLECTIVE TRANSPORTATION ABSTRACT Medium cities stand out for their dynamic character, centralizer, attractive merchandise, services and people. The average city of Montes Claros, located in the north of Minas Gerais, has shown such feature by intense displacement flow demanded by the population Polos traffic generators. In this scenario, you need is a modal capable of filling the transport of persons, safe, economical, sustainable and rational manner. The bus, operated by state guidelines, is presented as the best option in relation to private cars, since they do not cause congestion and exert social role. In this perspective, this paper analyzes the service by public transportation to the pole traffic generator (State School Professor Plinio Ribeiro), located on the promenade Master Slim, number 1225, São Luiz Jardim, in Montes Claros - MG. This analysis takes into account the travel time (waiting time and travel time) by public transportation with direct connection to school and uses Geographic Information Systems for storage, processing and spatial distribution of the data collected. From there, it is suggested that the level of accessibility of the residents of the city of Montes Claros State Teacher Plinio Ribeiro school.  Keywords: Medium Cities. Collective Public Transport. Accessibility. Montes Claros.    ANÁLISIS DE LA ACCESIBILIDAD DE LA POBLACIÓN DE LA CIUDAD DE MONTES CLAROS / MG A UNA ESCUELA PÚBLICA POR TRANSPORTE COLECTIVO RESUMEN Las ciudades medias se destacan por su carácter dinámico, centralizador, atractivo de mercancía, servicios y personas. La ciudad de Montes Claros, ubicada en el norte de Minas Gerais, ha demostrado tales características a través del intenso flujo de viajes demandado por la población a los Polos Generadores de Tráfico. En este escenario, se necesita de un modo capaz de suplir la carencia de transporte de las personas, de manera segura, económica, sostenible y racional. El autobús, gestionado por medio de directrices del Estado, se presenta como mejor opción en relación a los automóviles privados, ya que reducen congestión y ejercen papel social. En esta perspectiva, el presente trabajo analiza la accesibilidad por transporte público colectivo al polo generador de tráfico (Escuela Estadual Profesor Plínio Ribeiro), ubicado en la Avenida Maestra Fininha, número 1225, barrio Jardim São Luiz, en Montes Claros - MG. Este análisis tiene en cuenta el tiempo de viaje (tiempo de espera y tiempo de recorrido) por transporte público con conexión directa a la escuela y utiliza Sistemas de Información Geográfica para almacenamiento, procesamiento y espacialización de los datos recolectados. A partir de ahí, se sugiere el nivel de accesibilidad de los habitantes de la ciudad de Montes Claros a la escuela estatal, el profesor Plínio Ribeiro, el cual se mostró con mejores resultados en el área central y casi siempre se redujo a medida que se acercaba a las regiones Periféricos. Palabras clave : Ciudades Medias. Transporte Público Colectivo. Accesibilidad. Montes Claros.

scholarly journals Violence in Public Transport: An Analysis of Resilience and Vulnerability in the City of Rio de Janeiro

2021 ◽  
Vol 13 ◽  
Author(s):  
Marcus Hugo Sant'Anna Cardoso ◽  
Tálita Floriano Santos ◽  
Marcelino Aurélio Vieira da Silva
Keyword(s):  
Travel Time ◽  
Public Transport ◽  
Public Transportation ◽  
Spatial Dependence ◽  
Rio De Janeiro ◽  
Public Security ◽  
Dependence Relation ◽  
The City ◽  
Intervening Opportunities

Abstract Indicators of violence involving public transportation have reached alarming levels in most Brazilian states, hampering mobility. This article aims to identify the level of vulnerability and resilience of public transportation in 21 administrative regions of the city of Rio de Janeiro, in light of criminal occurrences. Variables related to population, employment, intervening opportunities, travel time, criminal occurrences associated with public transportation and police coverage of each evaluated region were used. The results indicated that the five most vulnerable regions are Campo Grande, Méier, Barra da Tijuca, Rio Comprido and Irajá, and the most resilient are Lagoa, Copacabana, Botafogo, Vila Isabel and Tijuca. The contribution of this work is the proposal to analyze the level of vulnerability and resilience based on public security data, with emphasis on the spatial dependence relation among the regions.

scholarly journals Study of Selection of Bus Mode and Rail Train Surabaya – Malang

2020 ◽  
Vol 3 (2) ◽  
pp. 36-44
Author(s):  
Haris Muhammadun ◽  
Sindiah Bagus Mahendra Tama ◽  
Wateno Oetomo ◽  
Sri Wiwoho Mudjanarko
Keyword(s):  
Sensitivity Analysis ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Travel Time ◽  
Logistic Regression Analysis ◽  
Public Transportation ◽  
Travel Costs ◽  
The Difference ◽  
The City ◽  
Selection Of

The need for transportation facilities and infrastructure that is quite large in the city of Surabaya to the city of Malang is the impact of population growth and increased activity in the city. To support economic, social, trade and education activities between the two cities, public transportation facilities are needed that can meet the needs of the community in terms of comfort and safety. Fulfillment of comfort factors in the use of public transportation such as cheap travel costs, speed of travel time, and accuracy of operational schedules, is expected to increase the interest of travelers to use public vehicles more often than private vehicles. The analysis method used, among others, Descriptive Analysis aims to identify the characteristics of users of the Surabaya-Malang and bus modes, then the Logistic Regression Analysis and Binomial Logit Difference Analysis aim to Obtain a model of selection of bus and train modes in the Surabaya-Malang route, then proceed Sensitivity Analysis which aims to determine the sensitivity of the model of the response of the traveler in determining the choice if there is a change in each attribute of the trip. The results of logistic regression analysis and binomial logit difference, it can be concluded that, attribute / variable X2 (travel time) is the attribute / variable that most influences the mode selection. The sensitivity analysis results can be concluded as follows: Sensitivity to travel costs, the possibility of respondents prefer to use the train mode is greater than the bus. Sensitivity to time, the possibility of respondents prefer to use the train mode is greater than the bus. Sensitivity to the departure schedule (headway), the possibility of respondents choosing to use the train mode will be greater than the bus, if the difference in the headway is between 90-165 minutes. However, if the difference in headway is above 165 minutes, then the respondent will switch to choosing the bus mode.

scholarly journals Vehicle Travel Time Estimation Using Sequence Prediction

2020 ◽  
Vol 32 (1) ◽  
pp. 1-12
Author(s):  
Gültekin Gündüz ◽  
Tankut Acarman
Keyword(s):  
Travel Time ◽  
Short Term Memory ◽  
Measurement Data ◽  
Prediction Method ◽  
Time Estimation ◽  
Absolute Error ◽  
Travel Speed ◽  
Travel Time Estimation ◽  
Velocity Change ◽  
Sequence Prediction

This paper proposes a region-based travel time and traffic speed prediction method using sequence prediction. Floating Car Data collected from 8,317 vehicles during 34 days are used for evaluation purposes. Twelve districts are chosen and the spatio-temporal non-linear relations are learned with Recurrent Neural Networks. Time estimation of the total trip is solved by travel time estimation of the divided sub-trips, which are constituted between two consecutive GNSS measurement data. The travel time and final speed of sub-trips are learned with Long Short-term Memory cells using sequence prediction. A sequence is defined by including the day of the week meta-information, dynamic information about vehicle route start and end positions, and average travel speed of the road segment that has been traversed by the vehicle. The final travel time is estimated for this sequence. The sequence-based prediction shows promising results, outperforms function mapping and non-parametric linear velocity change based methods in terms of root-mean-square error and mean absolute error metrics.

THEORETICAL METHOD AND EXPERIMENTAL RESEARCH ON HIGH PRECISION FOUR DETECTOR DENSITY LOGGING

2021 ◽  
Author(s):  
Shanqing Cai ◽  
◽  
Juntao Liu ◽  
Xusheng Wang ◽  
Zhiyi Liu ◽  
...  
Keyword(s):  
High Precision ◽  
Experimental Measurement ◽  
Count Rate ◽  
Experimental Studies ◽  
Measurement Data ◽  
Theoretical Method ◽  
Absolute Error ◽  
Forward Model ◽  
The Absolute ◽  
Logging Tool

In order to better evaluate the formation density, casing and cement ring integrity under casing well conditions, a high precision four detector density logging tool was designed and developed. Theoretical methods and experimental studies are carried out on the relationship between the measured data of the four detector density logging tool and the formation density, casing thickness and cement ring thickness. By carrying out a large number of Monte Carlo simulations and setting up different experimental measurement devices, the effects of casing thickness, cement ring thickness and formation density on the gamma values of the four detectors are studied. The main factors affecting the count rate are determined and the counting response relations of detectors with different source distances are obtained. Based on the theoretical analysis of gamma transport and experimental measurement data, the measured gamma spectrum of each detector is divided into four energy windows, and the nonlinear response model of gamma counting of different energy windows with formation density, casing thickness, cement ring density and cement ring thickness is established. The forward model is used to invert the parameters such as the thickness of cement ring and casing, and the results are compared with the actual experimental values. The results show that with the change of downhole environment, the calculation of cased hole parameters by this physical model has been greatly challenged. In order to overcome the shortcomings of multiple fitting parameters of the forward model and large calculation errors under complex logging environment, a neural network prediction model predicting casing well parameters is established using 60-100keV, 100-140keV, 140-200keV, 200-540keV four energy window count rate. Thegamma-ray counts measured by the four detectors andthe source distance of each detector are regarded asmodel input variables. Experimental results andsimulation results show that the absolute error of theformation density calculation by artificial intelligence method is less than 0.33g/cm3, the absolute error of the casing thickness calculation is less than 0.15cm, and the absolute error of the cement ring thickness calculation is less than 1.2cm. The results show that the four detector density logging tool can be used as an important technical means to evaluate the formation density and the integrity of the casing and cement ring under the condition of cased hole.

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