scholarly journals Spatial analysis of the potential demand for public transport in the city of Jeddah, Saudi Arabia

2014 ◽  
Author(s):  
M. Aljoufie
Keyword(s):  
Saudi Arabia ◽  
Spatial Analysis ◽  
Public Transport ◽  
Potential Demand ◽  
The City

scholarly journals Spatial Analysis of Changes in Public Transport Passengers as a result of the Corona Pandemic in the Mashhad Suburban Area

2020 ◽  
Vol 4 (2) ◽  
pp. 149-162
Author(s):  
Mostafa Amirfakhriyan ◽  
◽  
Hadye Hasanneya ◽  
Keyword(s):  
Spatial Analysis ◽  
Public Transport ◽  
Public Transportation ◽  
Rural Areas ◽  
Strong Dependence ◽  
Long Distance ◽  
Transportation Management ◽  
Before And After ◽  
Spatial Differences ◽  
The City

The present study was designed to investigate the spatial variations of public transport passengers before and after Corona in the metropolitan area of ​​Mashhad. For this purpose, after conducting documentary studies, descriptive information about the volume of public transport passengers was obtained from Mashhad Bus Organization separately from each station, and at the same time with preparing a spatial map of the stations, a spatial database was formed. The period under study includes before Corona (March 1997 to February 1998) and after Corona (March 1998 to September 2010). Spatial differences before and after Corona were determined using classical and spatial statistics methods. The results showed significant differences in changes before and after corona. On the other hand, showing the differences showed that in rural areas with a long distance from the city of Mashhad in the west and northwest, unlike other areas, the volume of movements after Corona has increased. Using geographical regression model also showed that among local factors, economic characteristics related to each village show the greatest role in explaining the changes, which in some areas also explains up to 63%. Due to the demographic and economic structure of this area and their strong dependence on public transportation, methods such as closing or reducing operating hours; It brings more segregation of these villages. It is suggested that such studies, focusing on spatial analysis of changes, can assist public transportation management in redesigning programs related to this area.

THE DEVELOPMENT AND SYSTEMATIC STUDY OF THE PROGRAM OF MEASURES ON IMPROVEMENT OF ORGANIZATION OF TRANSPORT SERVICE OF THE POPULATION IN THE METROPOLIS

2020 ◽  
Vol 4 (26) ◽  
pp. 91-95
Author(s):  
D. A. Smirnov ◽  
Keyword(s):  
Transport System ◽  
Systematic Study ◽  
Public Transport ◽  
Road Network ◽  
System Development ◽  
Transport Service ◽  
Transport Services ◽  
The City

The article reveals the content of measures to improve the organization of transport services in the metropolis. The key directions of the city transport system development are considered. The analysis of the offered offers is carried out. Keywords: metropolis, transport development, public transport, street and road network.

Towards a Customized¬ Awareness Campaign to Educate the Public about COVID-19: Development and Validation of a Messaging Campaign to Promote Precautionary Behavior Using Geospatial Intelligence in Saudi Arabia (Preprint)

2020 ◽  
Author(s):  
Mayda Alrige ◽  
Hind Bitar Bitar ◽  
Maram Meccawi ◽  
Balakrishnan Mullachery
Keyword(s):  
Artificial Intelligence ◽  
Saudi Arabia ◽  
Content Validity ◽  
Awareness Campaign ◽  
Artificial Intelligence Technique ◽  
The Public ◽  
High Infection ◽  
Local Map ◽  
The City ◽  
Intelligence Technique

BACKGROUND Designing a health promotion campaign is never an easy task, especially during a pandemic of a highly infectious disease, such as Covid-19. In Saudi Arabia, many attempts have been made toward raising the public awareness about Covid-19 infection-level and its precautionary health measures that have to be taken. Although this is useful, most of the health information delivered through the national dashboard and the awareness campaign are very generic and not necessarily make the impact we like to see on individuals’ behavior. OBJECTIVE The objective of this study is to build and validate a customized awareness campaign to promote precautionary health behavior during the COVID-19 pandemic. The customization is realized by utilizing a geospatial artificial intelligence technique called Space-Time Cube (STC) technique. METHODS This research has been conducted in two sequential phases. In the first phase, an initial library of thirty-two messages was developed and validated to promote precautionary messages during the COVID-19 pandemic. This phase was guided by the Fogg Behavior Model (FBM) for behavior change. In phase 2, we applied STC as a Geospatial Artificial Intelligence technique to create a local map for one city representing three different profiles for the city districts. The model was built using COVID-19 clinical data. RESULTS Thirty-two messages were developed based on resources from the World Health Organization and the Ministry of Health in Saudi Arabia. The enumerated content validity of the messages was established through the utilization of Content Validity Index (CVI). Thirty-two messages were found to have acceptable content validity (I-CVI=.87). The geospatial intelligence technique that we used showed three profiles for the districts of Jeddah city: one for high infection, another for moderate infection, and the third for low infection. Combining the results from the first and second phases, a customized awareness campaign was created. This awareness campaign would be used to educate the public regarding the precautionary health behaviors that should be taken, and hence help in reducing the number of positive cases in the city of Jeddah. CONCLUSIONS This research delineates the two main phases to developing a health awareness messaging campaign. The messaging campaign, grounded in FBM, was customized by utilizing Geospatial Artificial Intelligence to create a local map with three district profiles: high-infection, moderate-infection, and low-infection. Locals of each district will be targeted by the campaign based on the level of infection in their district as well as other shared characteristics. Customizing health messages is very prominent in health communication research. This research provides a legitimate approach to customize health messages during the pandemic of COVID-19.

scholarly journals TARGET MODAL SPLIT MODEL

Transport ◽  
2012 ◽  
Vol 26 (4) ◽  
pp. 418-424 ◽  
Author(s):  
Valentina Basarić ◽  
Jadranka Jović
Keyword(s):  
Public Transport ◽  
Stepwise Regression ◽  
Statistical Data ◽  
Transport Policy ◽  
Wide Range ◽  
Policy Measures ◽  
Novi Sad ◽  
The Relationship ◽  
The City ◽  
Statistical Results

The research presented in this paper is aimed at defining a model that enables the management of the relationship between private vehicles and public transport applying the available instruments of city transport policy such as parking policy and public transport policy measures. Statistical data used for modelling is sourced from the database in a wide range of EU cities. The target model was developed in the form of stepwise regression analysis. Very favourable statistical results were obtained, and the subsequent tests on the city of Novi Sad (250000 inhabitants) led to the conclusion that the obtained results were suitable for implementation in practice. The results of the implemented procedure are of great importance for the enhancement of the existing transport policies in cities, as they enable the development of strategies for finding combinations of instruments that would bring the transport system and urban environment into a desired-viable rather than consequential condition.

scholarly journals An Integrated Approach Using Spatial Analysis to Study the Risk Factors for Leishmaniasis in Area of Recent Transmission

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Júlia Alves Menezes ◽  
Eduardo de Castro Ferreira ◽  
José Dilermando Andrade-Filho ◽  
Alessandra Mara de Sousa ◽  
Mayron Henrique Gomes Morais ◽  
...  
Keyword(s):  
Spatial Analysis ◽  
Integrated Approach ◽  
Climatic Conditions ◽  
Sand Fly ◽  
Leishmania Braziliensis ◽  
Lutzomyia Longipalpis ◽  
Recent Transmission ◽  
Current Transmission ◽  
Canine Infection ◽  
The City

Some epidemiological aspects of leishmaniasis in the municipality of Formiga, Brazil, an important touristic site, were evaluated. Those included phlebotomine sand fly vectors, canine infection, and geoprocessing analysis for determining critical transmission areas. Sand flies (224 insects) belonging to ten different species were captured. The most captured species includedLutzomyia longipalpis(35.3%),Lutzomyia cortelezzii(33.5%), andLutzomyia whitmani(18.3%). A significant correlation between sand fly densities and climatic conditions was detected. Serological diagnosis (DPP and ELISA) was performed in 570 dogs indicating a prevalence of 5.8%. After sequencing the main species circulating in the area wereLeishmania infantumandLeishmania braziliensis. Spatial analysis demonstrated that vegetation and hydrography may be related to sand fly distribution and infected dogs. The municipality of Formiga has proven leishmaniasis vectors and infected dogs indicating the circulation of the parasite in the city. Correlation of those data with environmental and human cases has identified the critical areas for control interventions (south, northeast, and northwest). In conclusion, there is current transmission of visceral and canine human cases and the city is on the risk for the appearance of cutaneous cases.

Site response assessment at the city of Al Khobar, eastern Saudi Arabia, from microtremor and borehole data

2015 ◽  
Vol 8 (11) ◽  
pp. 10015-10030
Author(s):  
M. Alharbi ◽  
M. Fnais ◽  
A. Al-Amri ◽  
Kamal Abdelrahman ◽  
Meinrat O. Andreae ◽  
...  
Keyword(s):  
Saudi Arabia ◽  
Site Response ◽  
Response Assessment ◽  
Borehole Data ◽  
The City

scholarly journals Distributional effects of transport policies on inequalities in access to opportunities in Rio de Janeiro

2017 ◽  
Author(s):  
Rafael Henrique Moreas Pereira ◽  
David Banister ◽  
Tim Schwanen ◽  
Nate Wessel
Keyword(s):  
Public Transport ◽  
Rio De Janeiro ◽  
Spatial Regression ◽  
Developed Countries ◽  
Transport Infrastructure ◽  
Future Research ◽  
Distributional Effects ◽  
Spatial Inequalities ◽  
Bus Services ◽  
The City

The evaluation of the social impacts of transport policies is attracting growing attention in recent years. Yet, this literature is still predominately focused on developed countries. The goal of this research is to investigate how investments in public transport networks can reshape social and geographical inequalities in access to opportunities in a developing country, using the city of Rio de Janeiro (Brazil) as a case study. Recent mega-events, including the 2014 Football World Cup and the 2016 Olympic Games, have triggered substantial investment in the city’s transport system. More recently, though, bus services in Rio have been rationalized and reduced as a response to a fiscal crisis and a drop in passenger demand, giving a unique opportunity to look at the distributional effects this cycle of investment and disinvestment have had on peoples’ access to educational and employment opportunities. Based on a before-and-after comparison of Rio’s public transport network, this study uses a spatial regression model and cluster analysis to estimate how accessibility gains vary across different income groups and areas of the city between April 2014 and March 2017. The results show that recent cuts in service levels have offset the potential benefits of newly added public transport infrastructure in Rio. Average access by public transport to jobs and public high-schools decreased approximately 4% and 6% in the period, respectively. Nonetheless, wealthier areas had on average small but statistically significant higher gains in access to schools and job opportunities than poorer areas. These findings suggest that, contrary to the official discourses of transport legacy, recent transport policies in Rio have exacerbated rather than reduced socio-spatial inequalities in access to opportunities. These results also suggest that future research should consider how the modifiable areal unit problem (MAUP) can influence the equity assessment of transport projects.

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