biography for william swan
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Biography for William SwanChief Economist, Seabury-Airline Planning Group. Retired Chief Economist for Boeing Commercial Aircraft 1996-2005 Previous to Boeing, worked at American Airlines in Operations Research and Strategic Planning and United Airlines in Research and Development. Areas of work included Yield Management, Fleet Planning, Aircraft Routing, and Crew Scheduling. Also worked for Hull Trading, a major market maker in stock index options, and on the staff at MIT’s Flight Transportation Lab. Education: Master’s, Engineer’s Degree, and Ph. D. at MIT. Bachelor of Science in Aeronautical Engineering at Princeton. ([email protected]) © Scott Adams
Airline EvolutionLessons from US Deregulation
William M Swan
Chief Economist
Boeing Commercial Airplanes, Marketing; Retired
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Structure is Destiny
• Structure of costs across airplane sizes
• Structure of fares and reservations
• Structure of route networks and hubs
Economies of Airplane Size
• The denser the route, the cheaper the seats• Not the Same as bigger airline, wider network
– No indication that extensive networks are cheap
• Not the Same as longer flight distance– However, longer the distances are cheaper per Km
• Economies of Airplane Size have Persisted since jet airplanes:
– MIT study in 1971– AA/UA fleet planning 1986– Boeing Study 2001
Big Airplanes are Cheaper per SeatConventional Representation (Confusing)
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Ticket Prices
• Yield has declined 2-3%/year since 1971– Representing a 1% annual decline in fares– Further decline due to change in ticket mix– Yield is “cents per kilometer”
• Two kinds of fares– Advance purchase, discount fares– Regular, unrestricted, full fares
• Low Cost Carrier (LCC) pricing– Erosion of full fare levels– Less than meets the eye
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Prices, Fares, and Yieldsbe careful what you measure
Route Structure
• Early Routes Followed Trains– Linear Multi-stop routes between big cities– Intersecting routes owned by different airlines– Fares were same $/Km everywhere
• Current networks are hub-focused– Gateway international hubs– Internal regional hubs– Competing airlines use different hubs
Skeletal Networks Develop Links to Secondary Hubs
Early Skeletal Network
Later Development bypasses Early Hubs
Deregulation
• US deregulation 1978– End of restrictions on starting new nonstops– End of fare regulations
• 1977 Regulated snapshot:– Only ATL and ORD were hubs– JFK gateway for most Europe flights– Regional carriers feeding majors at hub cities – Interline (between airlines) connections– Limited 30% discount advance purchase fares– Fares proportional to distance, no “boarding” cost– Fares independent of market size, no “small” cost
First Response to Deregulation
• Airlines added new nonstop routes– Bleeding traffic off old connecting legs– Reducing head-to-head competition– Making networks thinner but with more links– Filling out hubs
• Prices went up in small, short markets– It took a while unlearn “long, big” paradigm– Smaller communities gained services– Hubs began to develop– Regional carriers merged with majors
• They were always loosing money before, anyway
Evolution of Routes & Networks
• Origin-to-Destination (O&D) flows small– Few pairs big enough for local only service
• Need to combine flows to build size– Get to at least 100 seats per departure– Best layout turns out to be coordinated hubs
• Three Stages of Hubs1. Natural gateways, minimum spanning trees2. Competitive hubs, banked connections3. Continuous hubbing
Examples of the 3 Kinds of Hubs
• International hubs driven by long-haul– Gateway cities– Many European hubs: CDG, LHR, AMS, FRA– Some evolving interior hubs, such as Chicago– Typically 2 banks of connections per day – one in, one out
• Regional hubs connecting smaller cities– Most US hubs, with at least 3 banks per day (each way)– Some European hubs, with 1 or 2 banks per day
• High-Density hubs without banking– Continuous connections from continuous arrivals and departures– American Airlines at Chicago and Dallas– Southwest at many of its focus cities
Most Markets are Small
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Connecting Share of Loads Averages about 50%
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Networks Develop from Skeletal to ConnectedHigh growth does not persist at initial gateway hubs
Early developments build loads to use larger airplanes:Larger airplanes at this state means middle-sized
Result is a thin network – few links
A focus on a few major hubs or gateways
In Operations Research terms, a “minimum spanning tree”
Later developments bypass initial hubs:Bypass saves the costs of connections
Bypass establishes secondary hubs
New competing carriers bypass hubs dominated by incumbents
Large markets peak early, then fade in importance
Third stage may be non-hubbed low-cost carriers: The largest flows can sustain service without connecting feed
High frequencies create good connections without hub plan
Largest Routes are Not Growing as bypass flying diverts traffic
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Hub Concepts
• Hub city should be a major regional center– Connect-only hubs have not succeeded
• Early Gateway Hubs get Bypassed– Traffic builds early, stays flat in later years
• Later hubs duplicate and compete with early hubs– Many of the same cities served– Which medium cities become hubs is arbitrary– Often better-run airport or airline determines success– Also the hub that starts first stays ahead
Why Secondary Hubs?Airlines Hate Competition
• Avoid “head-to-head” whenever possible– Preferred carrier wins big
• Gets first choice of premium fare demand• Gets full loads during off peaks• Leaves 2nd choice carrier low yield, high peaking
• Result: Lots of new routes
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2004 data1990 data
US Deregulation
Forecasters in 1990 Were Confused
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What We Missed: New Routes
Minot Connects to the World
18:00 Bank Gives Minot 38 DestinationsInbound Bank Outbound Bank
Origin Depart Hub Origin Depart Hub Hub Arrive Destin' Hub Arrive Destin'city time time city time time ==> time time city time time cityONT 1200 1727 DLH 1655 1748 1848 2116 MBSBOS 1505 1728 SAN 1210 1748 1849 2136 CMHSNA 1200 1728 IND 1604 1749 1850 2227 HPNPSP 1210 1729 TUL 1550 1750 1850 2130 AZOPDX 1210 1729 DTW 1700 1753 ==> 1835 2030 MEM 1850 2130 AZOMSO 1355 1730 GRB 1641 1755 ==> 1836 1932 FAR 1850 2215 TYSCWA 1630 1731 MKE 1635 1756 ==> 1837 2159 IAD 1850 900 LGWGFK 1620 1731 SJC 1215 1756 ==> 1838 2159 RDU 1851 2142 DTWRST 1650 1732 RAP 1530 1757 ==> 1839 2209 PVD 1852 2128 FNTSMF 1205 1732 DTW 1705 1759 ==> 1839 2214 GSO 1853 2217 BWIORD 1600 1734 DSM 1650 1759 ==> 1840 2207 BDL 1854 2246 BOSDFW 1510 1735 MSN 1645 1800 ==> 1841 2108 GRR 1855 2255 ORFYEG 1355 1735 MOT 1635 1800 ==> 1842 2139 BUF 1855 2008 MLIYYC 1357 1735 SFO 1220 1800 ==> 1843 2104 OKC 1855 2124 LANABQ 1405 1739 BOI 1415 1804 ==> 1844 2210 ATL 1856 2126 DFWLNK 1615 1740 GEG 1312 1804 ==> 1845 2159 ROC 1857 2158 YYZDCA 1559 1741 ATL 1620 1805 ==> 1845 2022 SBN 1858 2007 GRBSTL 1600 1742 MDW 1635 1809 ==> 1845 2134 DAY 1859 2002 OMALAX 1215 1744 CVG 1655 1809 ==> 1846 2208 CLT 1900 2200 PITYWG 1618 1744 CWA 1715 1815 ==> 1847 2208 DCA 1900 2027 ORDBIS 1630 1747 1847 2253 TPA 1901 2030 MCI
Industry Growth is Small Markets
• Virtuous Circle:– Better services: More Value
• Faster connections (add 15% demand for online)• Fewer Stops (add 15% for each lost stop)• Higher frequencies (add 15% for full-day schedule)
– Lower Costs: Lower Prices• Higher traffic volumes mean lower costs• Competitive choices eliminate monopoly pricing
• New “small” markets get new services– Smaller towns, secondary city airports– Grow network from “below”
The First Big Event Nobody Noticed(Deregulation: 1984)
• Peoples Express opened a low cost hub– At Newark (EWR) airport, New York City– Cheap fares, lousy service
• AA discovered PE – Became aware of the extent of PE connects– Responded by matching PE fares
• 70% off full fare (compared to 35% off for SSave)• Capacity only available midweek• AA clearly the preferred choice at matched fares
Results of Big Event• PE went out of business
– Due to “horrendous peaking of traffic”– No midweek loads
• AA found it was making more money– 80% average weekly load factors (not 60%)– Filling previously empty mid-week seats– Selling tickets for half previous discount fares– Revenue Management controlling sales
• Paradigm shift:– Old way was set fares, get load factor
• Weak demand means lower load factor– New way was set load factor, sell to fill
• Weak demand means lower average fare
The 2nd Big Event Nobody Noticed(Deregulation in 1998)
• Airlines were paying $3/segment booking fees– Computer reservations systems owned by AA, UA– Travel agents hooked to mainframes
• Agents got 8-15% booking fees• Agents got bribes to sell AA, UA, DL….dominant networks
• Southwest refused to pay fee– Was thrown off reservations systems– Continued to sell on internet– No drop in Southwest business– No one noticed
• Majors’ Res systems no longer in control
Consequences of 2nd Event
• Majors became able to reduce commissions– Travel agencies no longer had pricing power– Removed one high-cost part from trip
• Start ups no longer had to pay majors– Previous Res System profits greater than airline’s– Majors owned Res Systems– Majors no longer controlled cost of entry– Majors lost full information about competitor’s prices
• Later consequence: Competitive Pricing– Direct-to-airline bookings made prices hard to monitor– Internet intermediaries compared multiple airlines sites– Cost of information on prices greatly reduced– Now only 18 out of 20 start-ups fail = twice the successes– Majors unable to extract rents to pay pilots’ premiums
The LCC/HCC War
• HCCs have adapted– Labor rates down: wages, rules, retirement– Service quality, costs, and prices down– Higher fares in small connecting markets
• LCCs will migrate services– Higher quality: boarding, onboard, reliability– More connections at higher prices– More price differentiation– Higher connecting share– Higher fares in small connecting markets
• Who can tell which is which?
Cost Reductions Keep Coming
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Better Airplanes, Higher Bypass, Hotter Turbines
Jets for Props
Revenue Management, Higher Load
Facors
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LCCs,nonunion pilots,
faster turns?
Lower Airport Costs,
Lower ATC costs?
Future Cost Improvements
Two Choices:1. Regulated Airlines
• Few routes, larger airplanes• Focus on inelastic business demand• Monopoly prices and costs• Permanent Names
2. Competitive Markets• Many routes, smaller airplanes• Innovation, adaptation• Competitive prices and costs• Bankruptcies and Start-ups• Biggest names still survive
Evolution: Part 2Birth and Death
• 38% of the air travel 20 years ago– Was flown by carriers that do not exist today
• 28% of the air travel today– Is flown by carriers that did not exist 20 years ago
• Competition is greater now– By any reasonable technical measure– But only slightly greater. Almost unchanged
• Conclusion: A healthy industry requires– Failure of badly run airlines– Failure of most new start-up airlines– Success of some new start-up airlines
• Overall employment and services should grow
Bankruptcy: How Airlines Fail
• Government airlines do not fail– They just need money, over and over
• Regulated airlines seldom fail– They just don’t improve services– They also may not improve costs
• Competitive airlines do fail– Efficiency comes from eliminating the bad ones– In the “Profit and Loss” system
• The losses are the important thing• A loss comes when it costs more to run the airline
– Than the customers are willing to value the service• Bankruptcy is the way to stop doing things that are losses
The Hard Problem
• A healthy industry means some airlines fail• Failure is hard on employees• Failure may reduce services• How to make transition smooth
– Most employees get jobs at new airline– Most airplanes are put back to use – Most services are kept operating
• No country has “ideal” Government Policies – Either regulate to avoid failure– Or allow messy bankruptcy
• Arguments about who looses how much money• No incentives to make smooth transitions
• Be the first: Do it “better”
William Swan:
Data Troll
Story Teller
Economist