scholarly journals UTRaLab – Urban Traffic Research Laboratory

2017 ◽  
Vol 3 ◽  
Author(s):  
Karsten Kozempel ◽  
Andreas Luber ◽  
Marek Junghans
Keyword(s):  
Data Collection ◽  
Research Laboratory ◽  
Urban Traffic ◽  
Environmental Data ◽  
Detection Methods ◽  
Traffic Data ◽  
Traffic Sensors ◽  
The One ◽  
The City ◽  
Traffic Detection

The Urban Traffic Research Laboratory (UTRaLab) is a research and test track for traffic detection methods and sensors. It is located at the Ernst-Ruska-Ufer, in the southeast of the city of Berlin (Germany). The UTRaLab covers 1 km of a highly-frequented urban road and is connected to a motorway. It is equipped with two gantries with distance of 850 m in between and has several outstations for data collection. The gantries contain many different traffic sensors like inductive loops, cameras, lasers or wireless sensors for traffic data acquisition. Additionally a weather station records environmental data. The UTRaLab’s main purposes are the data collection of traffic data on the one hand and testing newly developed sensors on the other hand.

scholarly journals Integrative analysis of multimodal traffic data: addressing open challenges using big data analytics in the city of Lisbon

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Carlos Lemonde ◽  
Elisabete Arsenio ◽  
Rui Henriques
Keyword(s):  
Big Data ◽  
City Council ◽  
Urban Traffic ◽  
Integrative Analysis ◽  
Context Aware ◽  
Traffic Data ◽  
Situational Context ◽  
Transport Modes ◽  
The City ◽  
Urban Data

AbstractWorldwide cities are establishing efforts to collect urban traffic data from various modes and sources. Integrating traffic data, together with their situational context, offers more comprehensive views on the ongoing mobility changes and supports enhanced management decisions accordingly. Hence, cities are becoming sensorized and heterogeneous sources of urban data are being consolidated with the aim of monitoring multimodal traffic patterns, encompassing all major transport modes—road, railway, inland waterway—, and active transport modes such as walking and cycling. The research reported in this paper aims at bridging the existing literature gap on the integrative analysis of multimodal traffic data and its situational urban context. The reported work is anchored on the major findings and contributions from the research and innovation project Integrative Learning from Urban Data and Situational Context for City Mobility Optimization (ILU), a multi-disciplinary project on the field of artificial intelligence applied to urban mobility, joining the Lisbon city Council, public carriers, and national research institutes. The manuscript is focused on the context-aware analysis of multimodal traffic data with a focus on public transportation, offering four major contributions. First, it provides a structured view on the scientific and technical challenges and opportunities for data-centric multimodal mobility decisions. Second, rooted on existing literature and empirical evidence, we outline principles for the context-aware discovery of multimodal patterns from heterogeneous sources of urban data. Third, Lisbon is introduced as a case study to show how these principles can be enacted in practice, together with some essential findings. Finally, we instantiate some principles by conducting a spatiotemporal analysis of multimodality indices in the city against available context. Concluding, this work offers a structured view on the opportunities offered by cross-modal and context-enriched analysis of traffic data, motivating the role of Big Data to support more transparent and inclusive mobility planning decisions, promote coordination among public transport operators, and dynamically align transport supply with the emerging urban traffic dynamics.

scholarly journals EFEKTIVITAS PENERAPAN APLIKASI SICANTIK DI DINAS PENANAMAN MODAL PELAYANAN TERPADU SATU PINTU, PERINDUSTRIAN DAN TENAGA KERJA KOTA BUKITTINGGI

2021 ◽  
Vol 3 (1) ◽  
pp. 22-30
Author(s):  
Eliya Putri Utami ◽  
Aldri Frinaldi
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Qualitative Methods ◽  
Public Services ◽  
Sampling Technique ◽  
Field Observations ◽  
Analysis Technique ◽  
One Stop ◽  
The One ◽  
The City

This study aimed to determine the effectiveness of implementing the SICANTIK application in the One Stop Services Investment Office, Industry and Labor in the City of Bukittinggi. The SICANTIK application is an application that aims to provide services regarding licensing that are directly related to the community, and this is one of the government's efforts to provide quality public services to the community. This research is descriptive using qualitative methods. Informants were selected using purposive sampling technique. In data collection, research instruments were used in the form of field observations and interviews with several informants, then documentation study was used for documents in the study. The technique of testing the validity of the data used the triangulation method. While the data analysis technique is done by reducing data, displaying data and drawing conclusions from the research that has been carried out. The results of this study indicate that knowing the effectiveness of implementing the SICANTIK application in the One Stop Services Investment Office, Industry and Labor of the City of Bukittinggi is not effective enough.

KAJIAN NORMATIF KEBERADAAN TOKO MODERN DI KOTA SEMARANG

2015 ◽  
Vol 5 (3) ◽  
pp. 50
Author(s):  
Efi Yulistyowati ◽  
Endah Pujiastuti
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Research Data ◽  
Analysis Method ◽  
Literature Study ◽  
Normative Study ◽  
Descriptive Research ◽  
Approach Method ◽  
The City ◽  
Collection Methods

<p align="center">ABSTRAK</p><p>Artikel hasil penelitian tentang kajian normatif keberadaan toko modern di Kota Semarang akan mengkaji mengenai keberadaan toko modern di Kota Semarang apakah sudah  memenuhi ketentuan dalam Peraturan Presiden Nomor 112 Tahun 2007. Untuk membahas permasalahan tersebut, metode pendekatan yang dipakai adalah yuridis normatif, dengan spesifikasi penelitian deskriptif analitis, metode pengumpulan datanya : studi dokumentasi dan studi kepustakaan, sedangkan metode analisis data yang dipergunakan adalah analisis kualitatif.</p><p>Hasil dari penelitian menunjukkan bahwa  keberadaan toko modern di Kota Semarang sudah memenuhi beberapa ketentuan yang ada dalam Peraturan Presiden Nomor 112 Tahun 2007, yang belum terpenuhi adalah : ketentuan Pasal 13  &amp; Pasal 15 Peraturan Presiden Nomor 112 Tahun 2007.</p><p><em>Articles of research on the normative study of the existence of modern stores in the city of Semarang will examine the existence of modern stores in the city of Semarang whether they have fulfilled the provisions in Presidential Regulation No. 112 of 2007. To discuss these problems, the approach method used is normative juridical, with the specifications of analytical descriptive research, data collection methods: documentation and literature study, while the data analysis method used is qualitative analysis.</em></p><p><em>            </em><em>The results of the study show that the existence of a modern shop in Semarang City has fulfilled several provisions in the Presidential Regulation Number 112 of 2007, which has not been fulfilled are:</em></p><p><em>p</em><em>rovisions in Article 13 </em><em>and p</em><em>rovisions Article 15</em><em> </em><em>of the Presidential Regulation Number 112 of 2007</em><em>.</em><em></em></p><p><em>Keywords: Study, Normative, Modern Shop, Semarang City.</em><em></em></p><p> </p>

Evaluation of Road Utilisation as Space For Holding Social Ceremonies in Indigenous Residential Area of Ogbomoso, Nigeria

2018 ◽  
Vol 1 (March 2018) ◽  
Author(s):  
S.A Okanlawon ◽  
O.O Odunjo ◽  
S.A Olaniyan
Keyword(s):  
Transport Infrastructure ◽  
Noisy Environment ◽  
Policy Makers ◽  
The Core ◽  
Local Roads ◽  
Strict Enforcement ◽  
The Mean ◽  
The One ◽  
The City ◽  
The Town

This study examined Residents’ evaluation of turning transport infrastructure (road) to spaces for holding social ceremonies in the indigenous residential zone of Ogbomoso, Oyo State, Nigeria. Upon stratifying the city into the three identifiable zones, the core, otherwise known as the indigenous residential zone was isolated for study. Of the twenty (20) political wards in the two local government areas of the town, fifteen (15) wards that were located in the indigenous zone constituted the study area. Respondents were selected along one out of every three (33.3%) of the Trunk — C (local) roads being the one mostly used for the purpose in the study area. The respondents were the residents, commercial motorists, commercial motorcyclists, and celebrants. Six hundred and forty-two (642) copies of questionnaire were administered and harvested on the spot. The Mean Analysis generated from the respondents’ rating of twelve perceived hazards listed in the questionnaire were then used to determine respondents’ most highly rated perceived consequences of the practice. These were noisy environment, Blockage of drainage by waste, and Endangering the life of the sick on the way to hospital; the most highly rated reasons why the practice came into being; and level of acceptability of the practice which was found to be very unacceptable in the study area. Policy makers should therefore focus their attention on strict enforcement of the law prohibiting the practice in order to ensure more cordial relationship among the citizenry, seeing citizens’ unacceptability of the practice in the study area.

Habilidades do Enfermeiro no Diagnóstico e Cuidado ao Portador de Depressão / Nursing Skills in Diagnosis and Care For Patients With Depression

1970 ◽  
Vol 5 (4) ◽  
pp. 13-19
Author(s):  
Cristiane Rosa Guedes ◽  
Bianca Del Ducca Alvarenga ◽  
Isabella Rotella ◽  
Débora Vitória Alexandrina Lisboa Vilella
Keyword(s):  
Data Collection ◽  
Family Involvement ◽  
Nursing Care ◽  
Direct Contact ◽  
Descriptive Study ◽  
Structured Interview ◽  
Qualitative Approach ◽  
Patient Relationship ◽  
The Subject ◽  
The City

RESUMOObjetivo: Identificar o significado para o enfermeiro em prestar cuidados para pacientes com Depressão.  Materiais e métodos: Estudo exploratório e descritivo com abordagem qualitativa, a amostra foi de 12 enfermeiras, o cenário de estudo foram Unidades Básicas de Saúde e Estratégias de Saúde da Família, urbanas da cidade de Itajubá-MG. A coleta de dados foi por meio do roteiro de entrevista semiestruturada composta por questionário contendo uma pergunta inerente ao assunto. Resultados: Encontramos oito categorias como estigma da depressão, suicídio, dificuldade em lidar, tempo escasso, envolvimento familiar, aceitação da doença, acolhimento e dar medicamento, de acordo com os discursos dos sujeitos coletados na entrevista. Conclusão: Os enfermeiros não estão em contato direto com portadores de depressão no seu trabalho, não entendem que é sua tarefa identificar e encaminha-los para tratamento especializado. Sugerimos que outros estudos sejam desenvolvidos sobre essa temática.Palavras-chave: Depressão. Relação Enfermeiro-Paciente. Assistência de Enfermagem. ABSTRACTObjective: To identify the meaning for nurses when providing care for patients with depression. Materials and Methods: exploratory and descriptive study with qualitative approach, the sample consisted of 12 nurses, the study scenario was the urban Unidades Básicas de Saúde e Estrategia de Saúde da Família, in the city of Itajubá. Data collection was done through semi-structured interview guides consisting of a questionnaire containing a question related to the subject. Results and Discussion: we found eight categories as stigma of depression, suicide, coping difficulties, scarce time, family involvement, acceptance of the disease, host and give medicine, according to the speeches of the subjects collected in the interview. Conclusion: nurses are not in direct contact with individuals with depression in their work, do not understand that it is their job to identify and refer them to specialized treatment. We suggest that other studies be developed on this theme.Keywords: Depression, Nurse-patient Relationship, Nursing care.

scholarly journals An Online Reputation Analysis of the Tourism Industry in Marbella: A Preliminary Study on Open Innovation

2021 ◽  
Vol 7 (2) ◽  
pp. 111
Author(s):  
María Jesús Carrasco-Santos ◽  
Antonio Manuel Ciruela-Lorenzo ◽  
Juan Gabriel Méndez Pavón ◽  
Carmen Cristófol Rodríguez
Keyword(s):  
Quantitative Research ◽  
Tourism Industry ◽  
Future Research ◽  
Full Data ◽  
Tourist Destination ◽  
Specific Advice ◽  
Sociodemographic Profile ◽  
The One ◽  
Online Reputation ◽  
The City

This research analyzed the online reputation of Marbella as a tourist destination and the profiles of the reviewers according to sociodemographic characteristics. A correlational, quantitative research technique was used in this study based on the manual extraction of more than 4000 reviews generated on TripAdvisor. The data used in this study were collected from the TripAdvisor website, taking, as a sample, tourists who had visited the city in the last three years. Ratings that did not provide full data on the variables were excluded. The findings show that Marbella is considered a luxury shopping destination. The preliminary conclusions allow us to generalize about the sociodemographic profile of its tourists. The findings of the study will provide valuable information for Marbella’s Destination Management Organization (DMO). On the one hand, this study highlights the importance of ranking the attractions of the city to create better communication strategies and enhance the appeal of those attractions that receive the best ratings, establishing the true vocation of Marbella as a tourist destination. On the other hand, it provides information on what tourists perceive to be negative elements, allowing the administration to create an improvement plan. The novelty of this research paper is that it delves into Marbella’s online reputation through an analysis of specific attractions’ ratings. Areas that require further attention in future research have been highlighted, along with specific advice on each attraction that contributes to the tourist offerings of the city.

scholarly journals Scenario Analyses of Exhaust Emissions Reduction through the Introduction of Electric Vehicles into the City

Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 2030
Author(s):  
Marianna Jacyna ◽  
Renata Żochowska ◽  
Aleksander Sobota ◽  
Mariusz Wasiak
Keyword(s):  
Inner City ◽  
Electric Vehicles ◽  
Transport Model ◽  
Exhaust Emissions ◽  
Scenario Analyses ◽  
High Emission ◽  
Clean Air ◽  
The One ◽  
The City

In recent years, policymakers of urban agglomerations in various regions of the world have been striving to reduce environmental pollution from harmful exhaust and noise emissions. Restrictions on conventional vehicles entering the inner city are being introduced and the introduction of low-emission measures, including electric ones, is being promoted. This paper presents a method for scenario analysis applied to study the reduction of exhaust emissions by introducing electric vehicles in a selected city. The original scenario analyses relating to real problems faced by contemporary metropolitan areas are based on the VISUM tool (PTV Headquarters for Europe: PTV Planung Transport Verkehr AG, 76131 Karlsruhe, Germany). For the case study, the transport model of the city of Bielsko-Biala (Poland) was used to conduct experiments with different forms of participation of electric vehicles on the one hand and traffic restrictions for high emission vehicles on the other hand. Scenario analyses were conducted for various constraint options including inbound, outbound, and through traffic. Travel time for specific transport relations and the volume of harmful emissions were used as criteria for evaluating scenarios of limited accessibility to city zones for selected types of vehicles. The comparative analyses carried out showed that the introduction of electric vehicles in the inner city resulted in a significant reduction in the emission of harmful exhaust compounds and, consequently, in an increase in the area of clean air in the city. The case study and its results provide some valuable insights and may guide decision-makers in their actions to introduce both driving ban restrictions for high-emission vehicles and incentives for the use of electric vehicles for city residents.

Short-term forecast model of taxi demand based on time and space heterogeneity

2021 ◽  
pp. 1-12
Author(s):  
Zhiyu Yan ◽  
Shuang Lv
Keyword(s):  
New York ◽  
New York City ◽  
York City ◽  
Urban Traffic ◽  
Percentage Error ◽  
Density Level ◽  
Traffic Data ◽  
Short Term ◽  
Time And Space ◽  
Density Data

Accurate prediction of traffic flow is of great significance for alleviating urban traffic congestions. Most previous studies used historical traffic data, in which only one model or algorithm was adopted by the whole prediction space and the differences in various regions were ignored. In this context, based on time and space heterogeneity, a Classification and Regression Trees-K-Nearest Neighbor (CART-KNN) Hybrid Prediction model was proposed to predict short-term taxi demand. Firstly, a concentric partitioning method was applied to divide the test area into discrete small areas according to its boarding density level. Then the CART model was used to divide the dataset of each area according to its temporal characteristics, and KNN was established for each subset by using the corresponding boarding density data to estimate the parameters of the KNN model. Finally, the proposed method was tested on the New York City Taxi and Limousine Commission (TLC) data, and the traditional KNN model, backpropagation (BP) neural network, long-short term memory model (LSTM) were used to compare with the proposed CART-KNN model. The selected models were used to predict the demand for taxis in New York City, and the Kriging Interpolation was used to obtain all the regional predictions. From the results, it can be suggested that the proposed CART-KNN model performed better than other general models by showing smaller mean absolute percentage error (MAPE) and root mean square error (RMSE) value. The improvement of prediction accuracy of CART-KNN model is helpful to understand the regional demand pattern to partition the boarding density data from the time and space dimensions. The partition method can be extended into many models using traffic data.

Sign in / Sign up

Export Citation Format

Share Document