Table 3: Improving problems in current statistics by AIS Figure 3.1 shows percentages of NSI’s recognizing specific problems in current maritime statistics. Figure 3.1: NSI’s responses to statements on specific problems in the production of current maritime statistics From the of concepts (PoC’s) described in Deliverable 4.3 we conclude that automatic port detection from AIS is possible by building a data driven algorithm for defining ports. We also concluded that next destination as reported by captains in AIS is not usable. Instead, the observed next destination from AIS has to be used. Finally, a PoC on investigating fluvio-maritime transport was performed. For the Netherlands, we did not detect maritime ships on inland waters. Responses on the expert questionnaire show that most of the NSI’s are open to using AIS data as a source for improving current statistics, although experts also expressed some concerns. Furthermore, they also saw the potential of AIS to generate new statistics, which will be described in the next part. AIS for new statistics In the course of this work package we also identified possibilities for new statistical products based on AIS. These ideas were also proposed to the maritime experts and again also the experts were asked for other ideas, see Table 4. Nr. New statistics Benefits from the use of Concerns / Challenges European AIS data 1 Intra-port travel + Calculating intra-port travel distances distances is a new statistical product that could be generated by using AIS data. 2 Fluvio-maritime + Direct links can be seen between transport: more both modes, as ships could be (at information on the least partially) linked by terminals relationship between visited around the same time maritime and inland waterway transport 3 Port-to-port distance + More precise distances can be If only European data matrix based on model calculated taking multiple factors are used, worldwide estimating shipping into account distances would still routes be missing 4 AIS as new economic AIS can be almost real-time, + indicator enabling fast monitoring developments in transport and destinations of certain types of goods fast (mirroring e.g. international trade) 5 Insight in effects of + Port closures or imposition of As territorial disruptions or emissions can cause shifts in waters are involved, at regulations traffic patterns (e.g. in traffic, or European data is speed) needed, European processing preferable Table 4: Possible new statistical output based on European AIS data
Table 3: Improving problems in current statistics by AIS Figure 3.1 shows percentages of NSI’s recognizing specific problems in current maritime statistics. Figure 3.1: NSI’s responses to statements on specific problems in the production of current maritime statistics From the of concepts (PoC’s) described in Deliverable 4.3 we conclude that automatic port detection from AIS is possible by building a data driven algorithm for defining ports. We also concluded that next destination as reported by captains in AIS is not usable. Instead, the observed next destination from AIS has to be used. Finally, a PoC on investigating fluvio-maritime transport was performed. For the Netherlands, we did not detect maritime ships on inland waters. Responses on the expert questionnaire show that most of the NSI’s are open to using AIS data as a source for improving current statistics, although experts also expressed some concerns. Furthermore, they also saw the potential of AIS to generate new statistics, which will be described in the next part. AIS for new statistics In the course of this work package we also identified possibilities for new statistical products based on AIS. These ideas were also proposed to the maritime experts and again also the experts were asked for other ideas, see Table 4. Nr. New statistics Benefits from the use of European AIS data Concerns / Challenges 1 Intra-port travel distances + Calculating intra-port travel distances is a new statistical product that could be generated by using AIS data. 2 Fluvio-maritime transport: more information on the relationship between maritime and inland waterway transport + Direct links can be seen between both modes, as ships could be (at least partially) linked by terminals visited around the same time 3 Port-to-port distance matrix based on model estimating shipping routes + More precise distances can be calculated taking multiple factors into account If only European data are used, worldwide distances would still be missing 4 AIS as new economic indicator + AIS can be almost real-time, enabling fast monitoring developments in transport and destinations of certain types of goods fast (mirroring e.g. international trade) 5 Insight in effects of disruptions or regulations + Port closures or imposition of emissions can cause shifts in traffic patterns (e.g. in traffic, or speed) As territorial waters are involved, at European data is needed, European processing preferable Table 4: Possible new statistical output based on European AIS data
WP4_Deliverable_4.8_Consolidated_report%2C_draft_25_04_2018.docx