Big Data und der Lockdown: Eine Verkehrsanalyse in Europa - Holger Hochgürtel, Director Sales
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Big Data und der Lockdown: Eine Verkehrsanalyse in Europa Holger Hochgürtel, Director Sales holger.hochguertel@inrix.com
INRIX Technology Platform Unique big data and analytics platform ingests multiple data feeds Incident data Mobile data Parking data Traffic Parking Weather data Autonomous Historical Event data traffic data Fleet data OpenCar Analytics Consumer vehicle GPS data Road sensors Cell Tower Data Massive Input Data Technology Platform Applications & Solutions • Global geo-spatial platform for location based services • Massive real-time data aggregation and processing • Analytics capabilities on 10 years of historical data 2
Impact of COVID-19 Normalisierte Fahrzeug-Km (PKW) in Deutschland Fahrleistung während Lockdown geht teilw. bis auf 20% des Vor-Lockdown-Niveaus. 20.05. Back-to-normal nun leicht unter Vor-Corona-Niveu Langes Wochenende 16.03. Himmelfahrt 30.5. Schulen, Kindergärten, etc. Begin Lockdown 01.05. Pfingsten Langes Wochenende Maifeiertag 10.04. Ostern 4
Impact of COVID-19 Normalisierte Fahrzeug-Km (PKW) in Deutschland Wie wirkt sich der neue Lockdown-Light aus? 5
Impact of COVID-19 Normalisierte Fahrzeug-Km (LKW) in Deutschland 20.05. Langes Wochenende 16.03. Himmelfahrt Die Logistik bleibt „unberührt“ vom Lockdown Schulen, Kindergärten, etc. Begin Lockdown 01.05. Langes Wochenende 30.5. Maifeiertag Pfingsten 10.04. Ostern 6
Impact of COVID-19 Normalisierte Fahrzeug-Km: Deutschland vs Italien Tieferer Einschnitt aber „back to normal“ paralell Deutschland und auf gleichem Niveau wie in D Italien 7
Impact of COVID-19 Normalisierte Fahrzeug-Km: Deutschland vs UK „Back to normal“ verläuft langsamer und bleibt Deutschland auf niedrigerem Niveau UK 8
Impact of COVID-19 Normalisierte Fahrzeug-Km: Deutschland vs Frankreich Tieferer Einschnitt, „back to normal“ verläuft Deutschland Langsamer, übertrifft aber „Vor-Corona-Zeit“ Frankreich 9
Impact of COVID-19 Normalisierte Fahrzeug-Km: Deutschland vs Spanien Der tiefste Einschnitt, back to normal“ verläuft langsamer und bleibt auf leicht niedrigerem Niveau Deutschland Spanien 10
INRIX Trips data: view per industry type 1/2 • Upper graph: Locations of selected points of interest (PoI) and PoI-Category categorized by industry type (below table). The size of the circle represents the trips started or ended at the considered PoI from 24th Feb to 3rd May 2020. • Lower graph: Count of all trips to/from all PoIs per category, from 24th Feb to 3rd May 2020. Automotive Chemical Energy Continental Aachen Rothe Erde Bayer AG Hitdorf Rheinenergie Koeln Niehl DeutzAG Chem-park Dormagen RWE Huerth Knappsack Ford Koeln Evonik Niederkassel RWE Neurath Toyota Deutschland Koeln Lanxess Leverkusen1 RWE Niederaußem VW OTL Vertriebszentrum Lanxess Leverkusen2 RWE Weisweiler Furniture Logistics Sport Aggregated trip count (aggregation time frame: 24th Feb to 3rd May) IKEA Hasselt Dachser SE Logistikzentrum Bay-Arena Leverkusen IKEA Heerlen DHL Koeln Lanxess Arena Koeln IKEA K-Am Butzweilerhof DHL-freight Koeln Longerich Rhein Energie Station Koeln IKEA Koeln Godorf Lekkerland Logistikzentrum Stadium MVV Maastricht IKEA Liege Saint Global Zentrallager Tivoli Alemania Aachen 11 11
INRIX Trips data: view per industry type 2/2 Aggregated trip count prior to lockdown measures (aggregation time frame: 3rd Mar to 8th Mar Upper graph: Count of trips per PoI Categorie for one week prior to the lockdown measures (3rd March to 8th March). Lower graph: Count of trips per PoI Categorie for one week after to the lockdown measures (13th April to 18th April 2020). The graphs suggest following readings: ▪ Different industries differently affected. While the number of trips starting and ending at energy PoIs was marginally reduced (4%), the number of trips at automotive PoIs was heavily affected with a reduction of 58%. Reduction Aggregated trip count Prior to lockdown measures by 58% (aggregation time frame:13th Apr to 18th May) ▪ This is due to the fact that the work had to be continued at power plants while many factories within the automotive and Reduction by 4% other industries were at least partially shut down. 12 12
Individual points of interest can be analyzed separately to gain further insights. Example: IKEA Heerlen. Total Trip Count: 14.333 Trips ending at IKEA: 8.697 Trips starting at IKEA: 5.636 Avg. Trip Distance: 26,6 km Polygon Shape of shop building and parking lot. 13 using INRIX data, 12th June 2020 13
Individual points of interest can be analyzed separately to gain further insights. Example: Catchment area of IKEA Heerlen. • The graph: Locations of start points of trips which IKEA – Trip distance in m had the end point at IKEA Heerlen. Start points of trips min 29 with end points at IKEA Heerlen P10.0 582 • The table: Percentile values of the trip distances to P20.0 2300 IKEA Heerlen. P30.0 4.075 • Following readings can be made: P40.0 6.264 P50.0 9.045 ▪ “95 % of customers, who shop at IKEA P60.0 12.498 Herleen, come from within a radius of P70.0 16.090 roughly 70 km or less”. This is a direct P80.0 22.516 indication for the catchment area of the shop (includes also logistic trips). P90.0 39.422 P95.0 70.082 ▪ The majority of people who visit the shop from P99.0 164.302 far locations come from the Netherlands. r = ~70 km P99.9 207.180 max 259.328 using INRIX data, 12th June 2020 14
Prior to lockdown measures There was no severe impact of COVID-19 on IKEA Heerlen. 2nd March to 8th March • Upper graph: Breakdown of the trip count per day and hour to IKEA Heerlen prior to the lockdown measure. High • Lower graph: Breakdown of the trip count per day and hour to IKEA Heerlen after the lockdown measures. • The graphs suggest following readings: After lockdown measures ▪ The peak hours of traffic to the IKEA Heerlen are on Weekends between 10 am and 2 pm with the highest amount of traffic on Saturdays. On weekdays the traffic is nearly equally spread over the opening times with no clear 13th April to 19th April pattern. Low ▪ After the lockdown measures the traffic was slightly reduced with the peak hours remaining the same. 15
Vielen Dank! holger.hochguertel@inrix.com
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