Impact of provincial characteristics on the number of traffic accident victims on interurban roads in Spain

González, María Pilar Sánchez; Sotos, Francisco Escribano; Ponce, Ángel Tejada

doi:10.1016/j.aap.2018.02.015

Cited by 29 publications

(27 citation statements)

References 42 publications

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“…These authors also obtained significant relationships for the following variables: vehicle miles travelled, total lane mileage, ratio of trucks, maximum speed on rural roads, seatbelt laws, precipitation index, temperature index, gross state product per capita, income per capita and unemployment rate. Recently, Sánchez et al [54] carried out a study in Spain on the influence of provincial characteristics on traffic accidents on interurban roads by analysing different economic, technical, social and legislative variables. Among the economic variables, they included investment in road construction and investment in replacement.…”

Section: State Of the Artmentioning

confidence: 99%

“…Regarding the dependent variable to be incorporated in the model, Hakkert and Braimaister [55] recommend using a ratio according to the level of exposure, an approach previously used in other studies [43,54,56,57]. Along this line, Papadimitriou et al [58] assessed various risk indicators together with exposure data available at the European level.…”

Section: Datamentioning

confidence: 99%

“…Three variables are included as transport-specific factors: the proportion of motorways, the motorisation rate, and petrol consumption per vehicle. The proportion of motorways has been included in numerous studies [43,51,52,54,63], and an inverse relationship with mortality is expected, since the characteristics and quality of these roads lend themselves to higher levels of traffic safety. The motorisation index reflects, in a sense, the level of prosperity of a country.…”

Section: Datamentioning

confidence: 99%

“…The motorisation index reflects, in a sense, the level of prosperity of a country. This variable is also found in the literature [41,50,53,54]. The variable of fuel consumption per vehicle is included as an indicator of the intensity of use of the vehicle fleet.…”

Section: Datamentioning

confidence: 99%

“…The unemployment rate reflects variations in economic cycles. In order to characterize the population composition of each country, it was decided to include the variables of population density and the proportion of people over 65 years of age, both being related to road safety according to previous studies [54,[66][67][68].…”

Section: Datamentioning

confidence: 99%

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Road Investment and Traffic Safety: An International Study

2020

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The aim of this study is to analyse whether the economic resources invested in roads—both investment in construction and expenditure on maintenance and conservation—have any influence on road fatality rates. Since this is a complex problem, and because there are many factors that can influence the fatality rate, other variables related to specific transport, socioeconomic and meteorological factors are also considered. The study was carried out using a panel data model, modelling road mortality as a function of 12 variables. The scope of the study is international, focusing on the interurban road network. Data were collected from 23 European countries for the period 1998–2016. The main results obtained are that both expenditure on road maintenance and conservation and the proportion of motorways in the total road network contribute to reducing road mortality. Contrariwise, greater investment in construction leads to an increase in the fatality rate.

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Section: State Of the Artmentioning

confidence: 99%

Section: Datamentioning

confidence: 99%

Section: Datamentioning

confidence: 99%

Section: Datamentioning

confidence: 99%

Section: Datamentioning

confidence: 99%

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Road Investment and Traffic Safety: An International Study

2020

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Investment in roads and traffic safety: linked to economic development? A European comparison

Navarro-Moreno

Poyo

Oña

2022

Environ Sci Pollut Res

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This study analyzes how economic resources invested in roads may affect mortality, depending on the level of economic development of a country. To this end, 23 European countries were classified into two groups—high-income countries and low-income countries—according to their average Gross Domestic Product (GDP) per capita over the period 1998–2016. The economic resources are considered through the investment in construction and the maintenance expenditure. Further variables are included to control for several factors related to the infrastructure, socioeconomics, legislation, and meteorology. Fixed-effects panel data models were built separately for the interurban road network of each group of countries. These models also capture the international inequalities within each group and the country-specific national trend for the study period. The main results indicate a reduction effect on the fatality rate of road maintenance expenditure (in both groups), and of the investment in construction (in the low-income countries). Other variables—such as proportion of motorways, motorization rate, unemployment rate, GDP per capita, alcohol consumption, Demerit Point System, and mean annual precipitation—showed statistically significant results as well. Finally, the country-specific fixed effects and the country-specific trend were mapped geographically, to better reflect national conditions for achieving lower fatality rates in the high-income countries, and greater progress in reducing fatalities in the low-income countries. In the end, this study provides evidence to policy-makers that can help to achieve a safer and more sustainable transport system, namely, how to tackle an ongoing major problem—traffic-related deaths—when attending and allocating the economic resources that road infrastructure needs.

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