Using Disaggregated Socioeconomic Data in Air Passenger Demand Studies (2019) / Chapter Skim
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Pages 100-110
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From page 100... ...
100 Other Approaches to the Use of Disaggregated Socioeconomic Data in Air Passenger Demand Analysis The previous chapter described the results from incorporating a particular example of regional disaggregated socioeconomic data into the econometric modeling framework that is commonly used (with aggregate socioeconomic data only) in airport analyses of passenger enplanements over time.
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From page 101... ...
Other Approaches to the Use of Disaggregated Socioeconomic Data in Air Passenger Demand Analysis 101 Credit Card Transaction Data In many sectors of the economy, it is becoming increasingly recognized that the credit card transaction records maintained by credit card companies contain detailed information about spending patterns by individual card holders that can be potentially highly valuable for marketing and other purposes. Although the credit card companies of course know the identity of each card holder, privacy considerations prevent the release of data in a form that would allow the individual card holder to be identified.
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From page 102... ...
102 Using Disaggregated Socioeconomic Data in Air Passenger Demand Studies Cell Phone Data Over the past decade, there has been increased interest in using mobile phone signal traces and GPS data from cell phones to anonymously track individual customers through time and space. According to Bill King of AirSage (King 2014; King 2016)
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From page 103... ...
Other Approaches to the Use of Disaggregated Socioeconomic Data in Air Passenger Demand Analysis 103 airport, when did the passenger enter (and leave) security, which security line did the passenger use, which stores did the passenger pass by or visit, which restrooms did the passenger use, how long was the passenger in the gate area, when did the passenger board the aircraft, etc.]
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From page 104... ...
104 Using Disaggregated Socioeconomic Data in Air Passenger Demand Studies highlights several challenges we faced in re-purposing existing (and de-identified) data for a new application.
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From page 105... ...
Other Approaches to the Use of Disaggregated Socioeconomic Data in Air Passenger Demand Analysis 105 Approaches to Air Passenger Demand Model Specification The case study analysis in the previous chapter has demonstrated one approach to incorporating disaggregated socioeconomic variables into air passenger demand models, albeit in a fairly simple way. However, the research team has identified four different ways disaggregated socioeconomic data could be incorporated into air passenger demand models: • Use of variables that reflect the shape of the distribution of the explanatory variable in a single relationship in addition to variables that reflect the aggregate or average value of the explanatory variable (the approach used in the models described in the previous chapter)
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From page 106... ...
106 Using Disaggregated Socioeconomic Data in Air Passenger Demand Studies passenger and household travel surveys has shown that air travel propensity varies by age, gender, race/ethnicity, and educational attainment, as well as income, although some of these effects may be correlated. For example, the analysis of demographic trends presented in Chapter 3 shows that the median income of households with a head of household age 65 or older has grown faster than all other households.
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From page 107... ...
Other Approaches to the Use of Disaggregated Socioeconomic Data in Air Passenger Demand Analysis 107 complex functional form for each model, it requires an estimate of the demand generated by each subset of the population. Since there is no way to obtain this from the reported air passenger traffic, it requires air passenger survey data to segment the reported traffic into the air trips made by each subset of the population.
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From page 108... ...
108 Using Disaggregated Socioeconomic Data in Air Passenger Demand Studies somewhat less than proportionately to an increase in cost) while airfare price elasticity for nonbusiness travel is somewhat greater than –1 in an absolute sense, reflecting that nonbusiness travel is generally more discretionary than business travel.
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From page 109... ...
Other Approaches to the Use of Disaggregated Socioeconomic Data in Air Passenger Demand Analysis 109 air passenger or household travel survey data in exactly the same way as estimating the proportion of trips by households with different characteristics. Although the simulation of business travel could be based on the number of households with given characteristics in the region and the business trip propensity by household, it would be more logical to base the simulation of business trips on employment by sector.
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From page 110... ...
110 Using Disaggregated Socioeconomic Data in Air Passenger Demand Studies Data from air passenger surveys performed at the same airport over time can provide some indication of whether the composition of the different types of trip appears to be fairly stable over time.
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