RESEARCH PAPER
Draft of Freight Transport Car Parks Facilities
1
School of Civil and Construction Engineering, Oregon State University, United States
2
Department of Road and Urban Transport, University of Zilina, Slovak Republic
3
Department of Economics, University of Zilina, Slovak Republic
Submission date: 2019-09-01
Final revision date: 2019-09-17
Acceptance date: 2019-09-20
Publication date: 2019-09-30
Corresponding author
The Archives of Automotive Engineering – Archiwum Motoryzacji 2019;85(3):41-47
KEYWORDS
TOPICS
ABSTRACT
The contribution deals with a problem of road trucks parking sustainability. The road freight transport is presently the most significant mode of transportation in frame of inland freight transport. The White Paper on Transport supposes in-creasing of transport to 80 per cent in 2050 compared to the year 2010. The sup-posal of transport increasing is fulfilling in real practise and is followed by in-creasing number of trucks in road infrastructure. To ensure the safety and sus-tainability of transport it is necessary to built not only higher roads capacity but also the infrastructure for cars parking that is connected with safety breaks and drivers’ rest ensuring. On the other hand, the increasing drivers´ demands on rest causes also the increasing demands on parking places. Authors in the first part introduce a review of available approaches for establishment of the parking places in the world. They analyze problems depending to parking in United States, Japan and Germany. In the next part the authors deals with a parking facilities for freight transport. Drafts are processed on the base of own authors´ research.
REFERENCES (19)
1.
Al-Kaisy A., Veneziano D., Kirkemo, Z.: Dorrington, C.: Practical guidelines for estimation of rest area use on rural interstates and arterial highways. Transportation Research Record. 2012, 2303, 117–124, DOI: 10.3141/2303-13.
2.
Boris C., Brewster R.: A Comparative Analysis of Truck Parking Travel Diary Data. Transportation Research Record: Journal of the Transportation Research Board. 2018, 2672(9), 242–248, DOI: 10.1177/0361198118775869.
3.
Davis G.A.: Accident reduction factors and causal inference in traffic safety studies: a review. Accident Analysis and Prevention. 2000, 32(1), 95-109, DOI: 10.1016/S0001-4575(99)00050-0.
4.
Gašparík J., Abramovi, B., Zitrick, V.: Research on dependences of railway infrastructure capacity. Tehnicki Vjesnik 2018, 25(4), 1190-1195, 10.17559/tv-20160917192247.
5.
Chatterjee A., Wegmann F.: Overnight truck parking along Tennessee’s Interstate highways and rest areas. Transportation Research Record. 2000,1734, 64–68, 10.3141/1734-10.
6.
Jung S., Joo S., Oh C.: Evaluation the effects of supplemental rest areas on freeway crashes caused by drowsy driving. Accident Analysis and Prevention. 2017, 99(A), 356–363, DOI: 10.1016/j.aap.2016.12.021.
7.
Kalasova A., Mikulski J., Kubíková S.: The impact of intelligent transport systems on an accident rate of the chosen part of road communication network in the Slovak Republic. Communications in Computer and Information Science. 2016, 640, 47-58.
8.
Kay J., Gates T., Savolainen P., McArthur, A., Russo, B.: Empirical models of demand levels and turn-in rates at roadside rest areas. Transportation Research Record. 2014, 2430, 200–206, DOI: 10.3141/2430-21.
9.
Konečný V., Gnap J., Šimková I.: Impact of Fiscal Decentralization on Motor Vehicle Taxation in the Slovak Republic. Transport and Telecommunication. 2016, 17(1), 28-39, DOI: 10.1515/ttj-2016_004.
10.
Matsushita T., Kumagai T., Nonaka, Y., Ishida, T.: A basic study on rest spot choice behavior on expressway (in Japanese). In: Papers of Research Meeting on Civil Engineering Planning, vol. 44, CD-ROM (2011).
11.
McCartt A. T., Hellinga L. A., Solomon, M. G.: Work Schedules of Long-Distance Truck Drivers Before and After 2004 Hours-of-Service Rule Change. Traffic Injury Prevention 2008, 9(3), 201-10, DOI: 10.1080/15389580802040287.
12.
Mostafa B., Seghir Z., Mohammad, F., Navid, K., Morteza, B.: Developing a train timetable according to track maintenance plans: A stochastic optimization of buffer time schedules. Transportation Research Procedia. 2019, 37, 27-34, DOI: 10.1016/j.trpro.2018.12.162.
13.
Muramatsu T., Oguchi T.: Methodology to measure the parking area performance of inter-city expressways. Transportation Research Procedia. 2017, 25, 639–651, DOI: 10.1016/j.trpro.2017.05.448.
14.
Seya H., Zhang J., Chikaraishi M., Jiang Y.: Decisions on truck parking place and time on expressways: an analysis using digital tachograph data. Transportation. 2018, 1-29, DOI: 10.1007/s11116-018-9899-y.
15.
Sobczak P., Stawiarska E. Oláh J., Popp J. Kliestik T.: Logistics management of the rail connections using graph theory: The case of a public transportation company on the example of Koleje Dolnoślaskie S.A. Engineering Management in Production and Services. 2018, 10(3), 7-22, DOI: 10.2478/emj-2018-0013.
16.
Soccolich S.A., Blanco M., Hanowski R.J., Olson R.L., Morgan J.F., Guo F., Wu Sh.: An analysis of driving and working hour on commercial motor vehicle driver safety using naturalistic data collection. Accident, analysis and prevention. 2013, 58, 249-258, DOI: 10.1016/j.aap.2012.06.024.
17.
EUR-LEX Access to European Union law - Homepage, https://eur-lex.europa.eu/lega...*, last accessed 2017/12/20.
CITATIONS (2):
1.
Parking Information Guidance Systems and Smart Technologies Application Used in Urban Areas and Multi-storey Car Parks
Jiří Hanzl
Transportation Research Procedia
Jiří Hanzl
Transportation Research Procedia
2.
Possible Effects of Lacking Parking Areas for Road Freight Transport on Logistics and Transport Safety
Jozef Gnap, Simona Kubíková
Transportation Research Procedia
Jozef Gnap, Simona Kubíková
Transportation Research Procedia
Share
RELATED ARTICLE
Korzystamy z plików cookie (oraz innych podobnych technologii) i przetwarzamy unikalne identyfikatory oraz dane przeglądarki – w celu umożliwienia funkcjonowania naszej strony internetowej. Więcej informacji o tym jak przetwarzamy Twoje dane osobowe znajdziesz w
