Hjelmervik, Karina

Schøyen, Halvor

English

World Maritime University

Measuring port berth u0lisa0on with Automa0c Iden0fica0on System (AIS) data  Studying the berth u0lisa0on of Oslo Fjord container portsKarina	Hjelmervik,	University	College	of	Southeast	Norway	Halvor	Schøyen,					University	College	of	Southeast	Norway	Hao	Wang,						Norwegian	University	of	Science	and	Technology	OBar	L.	Osen,	Norwegian	University	of	Science	and	Technology			 1	AGENDA																				• Background	• Research	quesJons	• Method	and	data	collecJon	•  Findings	• Conclusion		2	Background: Container port performance																				• The	Jme	each	individual	berth	is	uJlised	by	a	ship	is	essenJal	for	both	economic	and	environmental	reasons	• Unit	of	analysis:	Berths	at	container	terminals		• Challenge:	Cost-efficient	way	to	collect	ship	and	port	data	3	Research ques0on																				• Can	ships’	berth	uJlizaJon	be	measured	based	on	AIS?	• What	are	the	berth	uJlizaJon	of	the	container	ports	in	the	Oslo	Fjord?				4	Method and data collec0on 5	Year: 	 	 										2015	Total	number	of	ships: 									2	347	Total	number	of	AIS	data: 	2	428	608	Number	of	container	ports: 																7	Number	of	Lo-Lo	ships: 														97	Spica	J	•  	StaJc	AIS	informaJon			IMO	number,	ship	name,	etc.		•  	Dynamic	AIS	informaJon:			GPS	posiJon		Finding: Container ship calls6				Calls	to	container	quays	 Ra1o	of	Lo-Lo	container	ships	to	all	ships		Container	flow	per	year	Average	container	flow	per	Lo-Lo	container	ship	Lo-Lo	container	ships	Other	ships			 [No.]	 [No.]	 [%]	 [TEU/year]	 [TEU/Lo-Lo	ship	call]	Oslo	 485	 9	 98	 195	466	 403	Drammen	 206	 11	 95	 59	464	 289	Moss	 301	 30	 91	 63	107	 210	Borg	 189	 91	 68	 45	879	 243	Larvik	 262	 20	 93	 61	807	 236	Brevik	 154	 241	 39	 34	557	 224	Kris1ansand	 327	 111	 75	 51	460	 157			 		 		 Total	 511	740	 		From	StaJsJcs	Norway	Finding: Ship traffic mix7	8	Example: Port  of Drammen Findings: Berth u0lisa0ons9	No.	of	ships	berthed	simultaneously	 0	 1	 2	 3	 No.	of	berths	Oslo,	Sjursøya	 66.2	 30.9	 2.8	 0.1	 3	Oslo,	Ormsund	(north)	 99.1	 		0.9	 -	 -	 1	Oslo,	Ormsund	(south)	 79.9	 20.1	 -	 -	 1	Drammen	 75.7	 24.3	 -	 -	 1	Moss	(north)	 82.8	 17.2	 -	 -	 1	Moss	(south)	 98.5	 		1.5	 -	 -	 1	Borg	 82.0	 19.0	 -	 -	 1	Larvik	 73.5	 26.5	 -	 -	 2	Brevik	 86.6	 13.4	 -	 -	 1	Kris1ansand	(west)	 98.9	 		1.1	 -	 -	 1	Kris1ansand	(east)	 75.3	 22.3	 2.4	 -	 2	Total	no.	of	berths	 15	Conclusion •  A	method	to	measure	container	ship	berthing	with	AIS	is	developed	•  Oslo	Fjord:	7	container	ports	with	15	berths	are	idenJfied	•  Oslo	Fjord	container	ports’	berth	uJlisaJons	are	measured,	providing	evidence	on	which	ports	may	have	under-	or	overinvested	in	quay	infrastructure	for	container	business		•  The	method	and	empirical	findings	can	–among	others-	be	applied	to	study	berth	availability,	duraJon	of	ship’s	stay	in	port	and	liner	operator’s	route	choice,	impacJng	on	energy	efficiency	and	air	polluJon	10	

Measuring port berth utilisation with Automatic Identification System data - Studying the berth utilisation of Oslo Fjord container ports

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Measuring port berth utilisation with Automatic Identification System data - Studying the berth utilisation of Oslo Fjord container ports

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