FIGURE 29 THE OVERLYING OF THE BUILD, VOID AND TRANSIT AREAS IN OUR CASE

COMPARISON SOURCE: RESERCHERS OWN ELABORATION

Figure 33 The overlying of the build, void and transit areas in our case

With this map outcome we can observe what is the number of buildings that have a high density with low accessibility and what buildings have low accessibility, also high accessible areas with no built volume, which as a result become areas were future development can occur. Calculating the overall proximity to transit and how effective this proximity is within the area we use:

Np= Number of Trips in Public transportation Nt= Total number of Trips

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The data measured in the table below belong to the data field by the researcher during the two different times of observation. The first observation happened in the interval of two hours from the 11:00 am to 13:00 pm on June 20th 2020, in the two intersections of the area. The second observation took place between 9:00 am and 11:00 am at the same intersections on 21st November 2021.

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FIGURE 29 THE OVERLYING OF THE BUILD, VOID AND TRANSIT AREAS IN OUR CASE

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COMPARISON SOURCE: RESERCHERS OWN ELABORATION

Figure 33 The overlying of the build, void and transit areas in our case

More articles from this publication:

COMPARISON SOURCE: RESERCHERS OWN ELABORATION

OWN ELABORATION

AUTHOR

FIGURE 36 THE MEASURABLE INDICATORS FOR THE TOD COMPONENT OF DENSITY ISOMETRY CREATED BY THE AUTHOR

FIGURE 34 THE DATA OF THE MEASURE OF WALKABILITY CONSIDERING THE 5 COMPONENTS OF MEASURE

FIGURE 35 THE MODEL BUILDER FOR THE AUTOMATIC CALCULATION OF THE PARAMETER OF WALKABILITY

FIGURE 32 DATA OVERLAY ON THE MIXED USES ON THE AREA USING THE SUPERPOSITION OF THE MAIN SERVICES

FIGURE 33 MODEL BUILDER CREATING THE MIXED-USE PARAMETER DATA AGGREGATION

AGENCY DOCUMENT 2019

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PhD thesis Amanda Terpo