ODBIERZ TWÓJ BONUS :: »

Time-series analysis of road safety trends aggregated at national level in Europe for 2000-2010 Ruth Bergel-Hayat, Joanna Żukowska

Język publikacji: angielski
Time-series analysis of road safety trends aggregated at national level in Europe for 2000-2010 Ruth Bergel-Hayat, Joanna Żukowska - okladka książki

Time-series analysis of road safety trends aggregated at national level in Europe for 2000-2010 Ruth Bergel-Hayat, Joanna Żukowska - okladka książki

Autorzy:
Ruth Bergel-Hayat, Joanna Żukowska
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
84
Dostępny format:
     PDF
Ebook
darmowy

Dodaj do koszyka Dostępny natychmiast po opłaceniu zakupu lub Kup na prezent Kup 1-kliknięciem

Przenieś na półkę

Do przechowalni

This study considers the time-series analysis methods that were developed and applied for the analysis of road safety trends at national level, in various European countries, during the period 2000-2010. The models were developed by two working groups of road safety researchers, namely, the ICTSA group (2000-2006) and the SafetyNet project (2004-2008). Over a decade, a wide range of time-series model applications were developed both at a single-country level and for comparative analysis of country groups. However, the results of various case studies are distributed across various scientific reports and papers.

This monography, written by two road safety researchers and statisticians who were directly involved in the international research activities mentioned above, provides a valuable overview and synthesis of the research findings over the last decade.

The study presents a common methodological framework underpinning the time-series analyses, by describing an underlying model of the road risk process, with risk indicators and risk factors involved, indicating data needs and limitations, and providing an effective summary of applicable statistical models. Furthermore, examples of time-series analyses carried out by selected countries (Austria, Belgium, Denmark, France, the Netherlands, Poland, Greece) are discussed, as well as the case studies of aggregative analyses of the groups of European countries. Most of the presented analyses are of an explanatory nature and therefore may be of interest for many countries, both within and outside Europe, where similar questions arise.

The authors advocate the use of autoregressive-type models and state-space models as dedicated time-series analysis techniques, thus enabling the time dependency of data to be accounted for explicitly. A primary need in exposure to risk considerations is emphasized. The possibilities of using surrogate measures of exposure (e.g. fuel sales) are demonstrated, in particular where a distinction between long-term and short-term analyses is made. It is suggested that, in the case of long-term analyses, the impacts of economic factors (e.g. unemployment rate, fuel prices) and demographic ones are to be considered, whereas for short-term analyses, the transitory factors (such as calendar characteristics or atypical weather conditions) are recommended for examination, due to their direct influence on mobility. In general, the document provides an up-to-date summary of findings of the European road safety research concerning the application of time-series analyses at a macrolevel.

As fairly concluded by the authors, a real challenge lies in implementing time-series analysis models that take into account a small number of risk factors but which could assess the impact of major safety measures.

I would recommend this monography as a useful reading for road safety researchers and statisticians who are interested in the state-of-the art of time-series analyses in road safety research.

Wybrane bestsellery

Politechnika Gdańska - inne książki

Zamknij

Przenieś na półkę
Dodano produkt na półkę
Usunięto produkt z półki
Przeniesiono produkt do archiwum
Przeniesiono produkt do biblioteki

Zamknij

Wybierz metodę płatności

Ebook
0,00 zł
Dodaj do koszyka
Płatności obsługuje:
Ikona płatności Alior Bank Ikona płatności Apple Pay Ikona płatności Bank PEKAO S.A. Ikona płatności Bank Pocztowy Ikona płatności Banki Spółdzielcze Ikona płatności BLIK Ikona płatności Crédit Agricole e-przelew Ikona płatności dawny BNP Paribas Bank Ikona płatności Google Pay Ikona płatności ING Bank Śląski Ikona płatności Inteligo Ikona płatności iPKO Ikona płatności mBank Ikona płatności Millennium Ikona płatności Nest Bank Ikona płatności Paypal Ikona płatności PayPo | PayU Płacę później Ikona płatności PayU Płacę później Ikona płatności Plus Bank Ikona płatności Płacę z Citi Handlowy Ikona płatności Płacę z Getin Bank Ikona płatności Płać z BOŚ Ikona płatności Płatność online kartą płatniczą Ikona płatności Santander Ikona płatności Visa Mobile
Bezpieczne płatności szyfrowane SSL