Analysis of Public Transport Mobility Data: A System for Sharing and Reusing GIS Database Queries

Abstract Dengue viruses (DENVs) are classified into four serotypes, each of which contains multiple genotypes. DENV genotypes introduced into the Americas over the past five decades have exhibited different rates and patterns of spatial dispersal. In order to understand factors underlying these patterns, we utilized a statistical framework that allows for the integration of ecological, socioeconomic, and air transport mobility data as predictors of viral diffusion while inferring the phylogeographic history. Predictors describing spatial diffusion based on several covariates were compared using a generalized linear model approach, where the support for each scenario and its contribution is estimated simultaneously from the data set. Although different predictors were identified for different serotypes, our analysis suggests that overall diffusion of DENV-1, -2, and -3 in the Americas was associated with airline traffic. The other significant predictors included human population size, the geographical distance between countries and between urban centers and the density of people living in urban environments.

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Distribution of transport mobility of city population between individual and public transport

Technology audit and production reserves ◽

10.15587/2312-8372.2013.16248 ◽

2013 ◽

Vol 4 (2(12)) ◽

pp. 31-34

Author(s):

Віктор Костянтинович Доля ◽

Ігор Євгенович Іванов

Keyword(s):

Public Transport ◽

City Population ◽

Transport Mobility

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Post-Pandemic Urbanism: Criteria for a New Normal

Sustainability ◽

10.3390/su131910600 ◽

2021 ◽

Vol 13 (19) ◽

pp. 10600

Author(s):

Michael Neuman ◽

Lorenzo Chelleri ◽

Thorsten Schuetze

Keyword(s):

Public Health ◽

Climate Change ◽

Public Transport ◽

Planning And Design ◽

Outdoor Spaces ◽

City Regions ◽

Wide Range ◽

Health Factors ◽

Transport Mobility ◽

New Criteria

Globalization, tourism, virtuality, climate change, and the explosive growth of cities have generated a wide range of stressors, pollutants, and toxins that have been ravaging populations. This, coupled with viral, bacterial, and other pandemics, is rapidly creating a new reality that requires public health factors to be integrated more thoroughly into the planning and design of city regions. This prompts a questioning of the role and form of city centers as well as the distribution of people and activities in city regions. This goes beyond more outdoor spaces, places, and activities and new criteria for indoor events. Moreover, public transport, mobility, and infrastructure in general need to be retooled to deal with these emergent circumstances.

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Air Pollution and Mobility in the Mexico City Metropolitan Area in Times of COVID-19

10.20937/atm.53052 ◽

2021 ◽

Author(s):

José Eduardo Vera Valdés ◽

Carlos Vladimir Rodríguez Caballero

Keyword(s):

Air Pollution ◽

Mexico City ◽

Metropolitan Area ◽

Public Transport ◽

Public Transportation ◽

Pollution Levels ◽

Causality Tests ◽

Private Car ◽

The Government ◽

Transport Mobility

This paper analyzes the relation between COVID-19, air pollution, and public transport mobility in the Mexico City Metropolitan Area (MCMA). We test if the restrictions to economic activity introduced to mitigate the spread of COVID-19 are associated with a structural change in air pollution levels and public transport mobility. Our results show that mobility in public transportation was significantly reduced following the government's recommendations. Nonetheless, we show that the reduction in mobility was not accompanied by a reduction in air pollution. Furthermore, Granger-causality tests show that the precedence relation between public transport mobility and air pollution disappeared as a product of the restrictions. Thus, our results suggest that air pollution in the MCMA seems primarily driven by industry and private car usage. In this regard, the government should redouble its efforts to develop policies to reduce industrial pollution and private car usage.

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TRANSPORT MOBILITY INDEX OF LARGE RUSSIAN CITIES

World of transport and technological machines ◽

10.33979/2073-7432-2021-73-2-40-48 ◽

2021 ◽

Vol 73 (2) ◽

pp. 40-48

Author(s):

R.R. ZAGIDULLIN ◽

◽

D.A. DRYUCHIN ◽

Keyword(s):

Public Transport ◽

Passenger Transport ◽

Mobility Index ◽

Passenger Transportation ◽

Transport Services ◽

Transport Mobility

The relevance of the problem is due to the lack of a method and indicators for assessing the level of transport mobility of cities. The purpose of the article is to develop a method for assessing the level of transport mobility. Currently, there are no science - based criteria for assessing the level of mobility in terms of the convenience of passengers using various types of public transport for travel. The use of the transport mobility index will contribute not only to improving the quality of passenger transport, but also to improving the level of transport services in General. The developed method for assessing the level of transport mobility will allow you to study the dynamics of changes in indicators and plan measures to improve the quality of transport services. The implementation of the proposed method will allow analyzing routes, as well as planning measures to increase the level of transport mobility and the attractiveness of public transport for passenger transportation.

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For Reducing Energy Consumption in Public Transportation

European Journal of Economics and Business Studies ◽

10.26417/ejes.v8i1.p87-93 ◽

2017 ◽

Vol 8 (1) ◽

pp. 87

Author(s):

Sara Chenche

Keyword(s):

Urban Sprawl ◽

Public Transport ◽

Public Transportation ◽

Large Scale ◽

Road Transport ◽

The Road ◽

High Consumption ◽

Research Task ◽

On The Road ◽

Transport Mobility

The concept of sustainable development, applied to cities, leads necessarily to give a large place to pedestrians, to cyclists and to public transport, which returns the viability to cities, by eliminating the enlargement of cars number, urban sprawl, accidents, traffic, pollution, and especially the huge consumption of energy, caused by cars and private transport. Mobility problems (traffic, transport...) are became more and more important, to study and resolve, because of their highest consumption of energy. Our research task is focused especially on the road transport of passengers, because it is a mode very large-scale consumer of energy which is often aimed by the energy policies. This leads us to study the dependence between energy and transport, then to study the intramodality of transport by encouraging public transport. But for that the passengers leave their cars and move towards public transport, this requires the development of a high-quality public transport, which is conquering with that of private vehicles, and therefore moderate the high consumption of energy. For that one of an important problem of stop location especially in the big cities is set.

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Predicting regional COVID-19 hospital admissions in Sweden using mobility data

Scientific Reports ◽

10.1038/s41598-021-03499-y ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Philip Gerlee ◽

Julia Karlsson ◽

Ingrid Fritzell ◽

Thomas Brezicka ◽

Armin Spreco ◽

...

Keyword(s):

Mobile Phone ◽

Public Transport ◽

Hospital Admissions ◽

Regional Hospital ◽

Mobility Data ◽

Social Mixing ◽

The Social ◽

Mobile Phone Usage ◽

Future Hospital ◽

Second Wave

AbstractThe transmission of COVID-19 is dependent on social mixing, the basic rate of which varies with sociodemographic, cultural, and geographic factors. Alterations in social mixing and subsequent changes in transmission dynamics eventually affect hospital admissions. We employ these observations to model and predict regional hospital admissions in Sweden during the COVID-19 pandemic. We use an SEIR-model for each region in Sweden in which the social mixing is assumed to depend on mobility data from public transport utilisation and locations for mobile phone usage. The results show that the model could capture the timing of the first and beginning of the second wave of the pandemic 3 weeks in advance without any additional assumptions about seasonality. Further, we show that for two major regions of Sweden, models with public transport data outperform models using mobile phone usage. We conclude that a model based on routinely collected mobility data makes it possible to predict future hospital admissions for COVID-19 3 weeks in advance.

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