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A new model for Public Transport: the use of
       non conventional transport systems
                                   Massimiliano Petri
                                     Irene Nicotra
                         Osservatorio Provinciale della Mobilità
                                  Provincia di Livorno

                   Polo Sistemi Logistici di Livorno - Laboratorio LOGIT,
                                    University of Pisa
                     Seventh International Conference on
                Informatics and Urban and Regional Planning
                                 10-12 May 2012
Department of Civil and Environmental Engineering and Archit., Univ.of Cagliari (Italy)
INTRODUCTION


                                ACTUAL TRENDS
Italian territory has a big number of small urban center, rural zones and villages
that, until some time ago, have seen the gradual depopulation with migratory
phenomenon to the major cities.

In the last years, this phenomenon has been reversed and population is
decreasing in the major centers and it is increasing in the lower ones located in
the suburban area nearest to the city center but more distance, also with good
road links.

This process allows the growing of commuting and of time spent to travel,
drawing a complex mobility scenario, difficult to manage with conventional
and traditional public transport.

                Seventh International Conference INPUT   10-12 May 2012
INTRODUCTION


                               ACTUAL TRENDS
With the recent crisis, the previous national government has deeply cut
economical resources to Public Transport. This operation has created a lot of
problems for provinces and communes to plan future public transport lines
(respectively for suburban and urban lines).
Tuscany Region decides to preserve resources for healthcare and education
and to concentrate all cuts in public transport. The remaining resource are
concentrated in the urban service to allow attraction for private transport
operator but Region doesn’t take into account the amount of revenues coming
from urban public transport service many times very limited for extra-urban
lines.
Moreover the recent increase of fuel prices will bring to a modal split from
private to public transport (already started in 2011).
                Seventh International Conference INPUT   10-12 May 2012
INTRODUCTION


                             ACTUAL TRENDS


Recent surveys on Italian trips and mobility (ISFORT, 2011) show that
crisis effects, amplified from the increasing fuel cost, are trips
decreasing, mostly private trips (until 15%); this element shows the
rising demand of low cost transport systems, demand trappable from
public transport to follow a more sustainable mobility system (in fact
public transport trips, despite european crisis, decrease only of 5%).




              Seventh International Conference INPUT   10-12 May 2012
INTRODUCTION


                                   ACTUAL TRENDS




Feet or bike

Motocycle

Private car

Public trans.


                Italian weekday trips number (values in thousands) and their types
                  Seventh International Conference INPUT      10-12 May 2012
INTRODUCTION


                                    AIM
The main aim of the present research is to build a new model of public
transport following recent decision of Tuscany Region relative to
institute a unique Public Transport organization for all regional area.
Then, Public Administration will bring in this unique transport
management only the line more attended (with more revenues and so
more attractive for the unique service operator).
For the remaining weak Public Transport lines we need to investigate
possible private and public transport solutions, alternatives to
conventional transport systems, analyzing territorial, socio-economic
and transport structure to follow the new explained mobility demand
and the decreasing economical resources.

              Seventh International Conference INPUT   10-12 May 2012
THE STUDY


The analysis is divided in four parts:

     1 – Analysis of actual public transport services
              Attendances + Shifts + Times (winter week-day)

      2 – Project hypothesis
                        Spatio-temporal service design
      3 –Focus Groups
                      Prevalent demand influence variables
      4 - Analysis of demand attracted in different service scenarios
             Stated Preference survey and vehicle routing simulations

                 Seventh International Conference INPUT   10-12 May 2012
THE STUDY – PART 1


               Analysis of actual public transport services
                         Administration     Line name     Denomination          Frequ./trip   Classification

                      Commune of Piombino      21         Urbano Piombino          20,0           Strong
                                               01         Cecina-Piombino          27,6           Strong
                                               02       Camp/Ventur-Piombino       10,5           Verify
                                               03        Monterot/Piombino         11,1           Verify
Service analysis                                          Riotorto/Piombino
                                               05                                  20,6           Strong
  at line level                                06        Sassetta/M.di Castag      6,5            Weak
                                               08        Piombino/Follonica        28,2           Strong
                          Province of          11       Sass/Don/SVinc-Piomb       20,9           Strong
                           Livorno             14          Cecina/Canneto          29,3           Strong
                                               27       Suburbano S.Vincenzo       2,7            Weak
                                               2A           Linea Azzurra          9,8            Verify
                                               31        Popul-Baratti-Piomb       3,0            Weak
                                               32        Interfraz. Piombino       9,7            Verify
                                               41        Interfraz. Campiglia      19,2           Strong
                                               51         Interfraz. Suvereto      14,2           Verify
                                                         Interfraz. Castagnet
                   Seventh International Conference INPUT              10-12 May 2012
THE STUDY – PART 1


               Analysis of actual public transport services
                               Cod      Cod
                                               Length   H_Start   H_Arrive   Freq.   Tickets   Subscr    Type       Project
                               Trip     Line
  Service analysis
                              01R 020   01     54489    06:47      08:15      71       0        71      school     Essential
    at trip level             01R 060   01     48362    06:50      08:00      68       0        68      school     Essential
                              01R 030   01     39023    07:00      08:00      45       0        45      school     Essential
 To extract bus shifts.       01A 101   01     38280    07:05      07:55      15       0        15      school     Essential
                              01R 500   01     17418    07:05      07:30      5        0         5      school     Essential
For social reason, the        01R 010   01     26809    07:10      07:50      54       0        54      school     Essential
school     trip     was       01R 025   01     34263    07:20      08:15     n.c.      0        n.c.    school     Essential
inserted      in    the       01R 050   01     18796    07:30      08:00      6        0         6      school     Essential
essential       network       01R 070   01     18796    07:30      08:00      58       0        58      school     Essential

(that’s to say the            01A 130   01     17280    08:00      08:25      5       2,5       2,5     service   To transform
                              01R 090   01     17393    08:25      08:50      13       0        13       work     To transform
regional strong one)          01A 535   01     18109    08:40      09:05      6        3         3      service   To transform
while      the      low       01R 510   01     37645    09:10      10:00      13      6,5       6,5     service   To transform
frequency trips was           01R 100   01     17418    10:15      10:40      8        4         4      service   To transform
passed in the weak            01A 150   01     17280    11:00      11:25      14       7         7      service   To transform

network        to    be       01R 125   01     17418    11:20      11:45      4        2         2      service   To transform
                              01A 160   01     17280    12:15      12:40      30       0        30      school     Essential
planned with low-             01R 110   01     17418    12:40      13:05      2        1         1      service    Essential
cost services.                01A 020   01     39655    13:05      14:05      69       0        69      school     Essential

                     Seventh International Conference INPUT                           10-12 May 2012
THE STUDY – PART 1


               Analysis of actual public transport services
  Service analysis
   at stop level

To extract trips with
partial frequentation




                     Seventh International Conference INPUT   10-12 May 2012
THE STUDY – PART 1

                 Analysis of actual public transport services

 Service analysis
  at stop level


To crearly
individuate school
and work trips
having schools and
industrial activity
locations.
    Legend
Green = Get on
 Red = Get off



                    Seventh International Conference INPUT   10-12 May 2012
THE STUDY – PART 1

              Analysis of actual public transport services
Then it was reconstructed the actual
presence of taxis and rental with driver
licenses in the area in order to know the
current supply and its ability to cover the
needs highlighted by the above analysis




      The existing available driving licenses
                  Seventh International Conference INPUT   10-12 May 2012
THE STUDY – PART 2

                          Project hypothesis

The public transport service is structured in two main parts:
1) A first part links the biggest urban center in the island, Marina di Campo,
   Marciana Marina, Porto Azzurro with Portoferraio (called Central
   Network);
2) A second part links the smaller center and marginal areas (with low
   transport demand), called Adduction Network, with the previous three
   main centers.

Due to the big surfaces covered from the demand services, for both
networks the trips have fixed time but they started only if they are booked
from some residents to a green telephone number.


              Seventh International Conference INPUT   10-12 May 2012
THE STUDY – PART 2

                     Project hypothesis
Service logistical bases
Areas covered by the pure demand service
Frequency network covered by car or minibus




     Seventh International Conference INPUT   10-12 May 2012
THE STUDY – PART 3

                              Focus Groups
• After some meeting with Administrator and inhabitants the more important
variables to take into account in the design of the service are:

   1.   Service fare;
   2.   Service time and days;
   3.   Time waiting to pick-up (service level);
   4.   Service type (the possible ones after previous analysis);
   5.   Service destination (in order to understand effect of distance and on-
        board time).




               Seventh International Conference INPUT   10-12 May 2012
THE STUDY – PART 4

      Analysis of demand attracted in different service scenarios
A Stated Preference survey was implemented using Experimental Design              with
Fractional Orthogonal Design in order to optimize the number of scenarios.

  With Full Orthogonal Design      The combination of complete
  classes of 4 attributes with 4 +4 +4 +3 levels    98 scenarios!!



   With Fractional Orthogonal Design       The combinations of
   classes of 4 attributes with 4 +4 +4 +3 levels   25 scenarios


   By means of the Blocking technique we constructed 5 scenarios
   for each interview, orthogonal and balanced.

                   Seventh International Conference INPUT        10-12 May 2012
THE STUDY – PART 4

Analysis of demand attracted in different service scenarios
  The resulting five questionnaires without dominated scenarios




                Seventh International Conference INPUT     10-12 May 2012
THE STUDY – PART 4

                            Simulation inside GIS
The final part of the methodology merges all the previous ones and introduces
the use of simulation in the geographic field.
Simulation consists in the solution of a complex problem, with different
variable types (geographical, economic, environmental, social ones for
example) that interact closely one with each other so to make impossible the
use of equations or other simple systems without to generate big errors.

Essentially, simulation is the researcher’s response to the inability of computers
to perform integration. Stated more precisely, simulation provides a numerical
approximation to integrals, with different methods offering different properties
and being applicable to different kinds of integrands. Simulation allows
estimation of otherwise intractable models. Practically any model can be
estimated by some form of simulation (Train, 2002)

                Seventh International Conference INPUT   10-12 May 2012
THE STUDY – PART 4

 Scenarios simulation                      Simulation consists in the
                                           repeating many times the
                                           extraction of probability
                                           distributions (by means of
                                           automated          elaborations
                                           inside the GIS platform) until
                                           to     have       a     statistic
                                           distribution of service costs
                                           to allow, taking into account
                                           the     variability    of     all
                                           phenomenon, the feasibility
                                           of each service scenario and
                                           their comparison.




Seventh International Conference INPUT   10-12 May 2012
END



              Thank you
              Massimiliano Petri

                  Irene Nicotra

osservatorio.trasporti@provincia.livorno.it

       i.nicotra@provincia.livorno.it

   Seventh International Conference INPUT   10-12 May 2012

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Petri and Nicotra - input2012

  • 1. A new model for Public Transport: the use of non conventional transport systems Massimiliano Petri Irene Nicotra Osservatorio Provinciale della Mobilità Provincia di Livorno Polo Sistemi Logistici di Livorno - Laboratorio LOGIT, University of Pisa Seventh International Conference on Informatics and Urban and Regional Planning 10-12 May 2012 Department of Civil and Environmental Engineering and Archit., Univ.of Cagliari (Italy)
  • 2. INTRODUCTION ACTUAL TRENDS Italian territory has a big number of small urban center, rural zones and villages that, until some time ago, have seen the gradual depopulation with migratory phenomenon to the major cities. In the last years, this phenomenon has been reversed and population is decreasing in the major centers and it is increasing in the lower ones located in the suburban area nearest to the city center but more distance, also with good road links. This process allows the growing of commuting and of time spent to travel, drawing a complex mobility scenario, difficult to manage with conventional and traditional public transport. Seventh International Conference INPUT 10-12 May 2012
  • 3. INTRODUCTION ACTUAL TRENDS With the recent crisis, the previous national government has deeply cut economical resources to Public Transport. This operation has created a lot of problems for provinces and communes to plan future public transport lines (respectively for suburban and urban lines). Tuscany Region decides to preserve resources for healthcare and education and to concentrate all cuts in public transport. The remaining resource are concentrated in the urban service to allow attraction for private transport operator but Region doesn’t take into account the amount of revenues coming from urban public transport service many times very limited for extra-urban lines. Moreover the recent increase of fuel prices will bring to a modal split from private to public transport (already started in 2011). Seventh International Conference INPUT 10-12 May 2012
  • 4. INTRODUCTION ACTUAL TRENDS Recent surveys on Italian trips and mobility (ISFORT, 2011) show that crisis effects, amplified from the increasing fuel cost, are trips decreasing, mostly private trips (until 15%); this element shows the rising demand of low cost transport systems, demand trappable from public transport to follow a more sustainable mobility system (in fact public transport trips, despite european crisis, decrease only of 5%). Seventh International Conference INPUT 10-12 May 2012
  • 5. INTRODUCTION ACTUAL TRENDS Feet or bike Motocycle Private car Public trans. Italian weekday trips number (values in thousands) and their types Seventh International Conference INPUT 10-12 May 2012
  • 6. INTRODUCTION AIM The main aim of the present research is to build a new model of public transport following recent decision of Tuscany Region relative to institute a unique Public Transport organization for all regional area. Then, Public Administration will bring in this unique transport management only the line more attended (with more revenues and so more attractive for the unique service operator). For the remaining weak Public Transport lines we need to investigate possible private and public transport solutions, alternatives to conventional transport systems, analyzing territorial, socio-economic and transport structure to follow the new explained mobility demand and the decreasing economical resources. Seventh International Conference INPUT 10-12 May 2012
  • 7. THE STUDY The analysis is divided in four parts: 1 – Analysis of actual public transport services Attendances + Shifts + Times (winter week-day) 2 – Project hypothesis Spatio-temporal service design 3 –Focus Groups Prevalent demand influence variables 4 - Analysis of demand attracted in different service scenarios Stated Preference survey and vehicle routing simulations Seventh International Conference INPUT 10-12 May 2012
  • 8. THE STUDY – PART 1 Analysis of actual public transport services Administration Line name Denomination Frequ./trip Classification Commune of Piombino 21 Urbano Piombino 20,0 Strong 01 Cecina-Piombino 27,6 Strong 02 Camp/Ventur-Piombino 10,5 Verify 03 Monterot/Piombino 11,1 Verify Service analysis Riotorto/Piombino 05 20,6 Strong at line level 06 Sassetta/M.di Castag 6,5 Weak 08 Piombino/Follonica 28,2 Strong Province of 11 Sass/Don/SVinc-Piomb 20,9 Strong Livorno 14 Cecina/Canneto 29,3 Strong 27 Suburbano S.Vincenzo 2,7 Weak 2A Linea Azzurra 9,8 Verify 31 Popul-Baratti-Piomb 3,0 Weak 32 Interfraz. Piombino 9,7 Verify 41 Interfraz. Campiglia 19,2 Strong 51 Interfraz. Suvereto 14,2 Verify Interfraz. Castagnet Seventh International Conference INPUT 10-12 May 2012
  • 9. THE STUDY – PART 1 Analysis of actual public transport services Cod Cod Length H_Start H_Arrive Freq. Tickets Subscr Type Project Trip Line Service analysis 01R 020 01 54489 06:47 08:15 71 0 71 school Essential at trip level 01R 060 01 48362 06:50 08:00 68 0 68 school Essential 01R 030 01 39023 07:00 08:00 45 0 45 school Essential To extract bus shifts. 01A 101 01 38280 07:05 07:55 15 0 15 school Essential 01R 500 01 17418 07:05 07:30 5 0 5 school Essential For social reason, the 01R 010 01 26809 07:10 07:50 54 0 54 school Essential school trip was 01R 025 01 34263 07:20 08:15 n.c. 0 n.c. school Essential inserted in the 01R 050 01 18796 07:30 08:00 6 0 6 school Essential essential network 01R 070 01 18796 07:30 08:00 58 0 58 school Essential (that’s to say the 01A 130 01 17280 08:00 08:25 5 2,5 2,5 service To transform 01R 090 01 17393 08:25 08:50 13 0 13 work To transform regional strong one) 01A 535 01 18109 08:40 09:05 6 3 3 service To transform while the low 01R 510 01 37645 09:10 10:00 13 6,5 6,5 service To transform frequency trips was 01R 100 01 17418 10:15 10:40 8 4 4 service To transform passed in the weak 01A 150 01 17280 11:00 11:25 14 7 7 service To transform network to be 01R 125 01 17418 11:20 11:45 4 2 2 service To transform 01A 160 01 17280 12:15 12:40 30 0 30 school Essential planned with low- 01R 110 01 17418 12:40 13:05 2 1 1 service Essential cost services. 01A 020 01 39655 13:05 14:05 69 0 69 school Essential Seventh International Conference INPUT 10-12 May 2012
  • 10. THE STUDY – PART 1 Analysis of actual public transport services Service analysis at stop level To extract trips with partial frequentation Seventh International Conference INPUT 10-12 May 2012
  • 11. THE STUDY – PART 1 Analysis of actual public transport services Service analysis at stop level To crearly individuate school and work trips having schools and industrial activity locations. Legend Green = Get on Red = Get off Seventh International Conference INPUT 10-12 May 2012
  • 12. THE STUDY – PART 1 Analysis of actual public transport services Then it was reconstructed the actual presence of taxis and rental with driver licenses in the area in order to know the current supply and its ability to cover the needs highlighted by the above analysis The existing available driving licenses Seventh International Conference INPUT 10-12 May 2012
  • 13. THE STUDY – PART 2 Project hypothesis The public transport service is structured in two main parts: 1) A first part links the biggest urban center in the island, Marina di Campo, Marciana Marina, Porto Azzurro with Portoferraio (called Central Network); 2) A second part links the smaller center and marginal areas (with low transport demand), called Adduction Network, with the previous three main centers. Due to the big surfaces covered from the demand services, for both networks the trips have fixed time but they started only if they are booked from some residents to a green telephone number. Seventh International Conference INPUT 10-12 May 2012
  • 14. THE STUDY – PART 2 Project hypothesis Service logistical bases Areas covered by the pure demand service Frequency network covered by car or minibus Seventh International Conference INPUT 10-12 May 2012
  • 15. THE STUDY – PART 3 Focus Groups • After some meeting with Administrator and inhabitants the more important variables to take into account in the design of the service are: 1. Service fare; 2. Service time and days; 3. Time waiting to pick-up (service level); 4. Service type (the possible ones after previous analysis); 5. Service destination (in order to understand effect of distance and on- board time). Seventh International Conference INPUT 10-12 May 2012
  • 16. THE STUDY – PART 4 Analysis of demand attracted in different service scenarios A Stated Preference survey was implemented using Experimental Design with Fractional Orthogonal Design in order to optimize the number of scenarios. With Full Orthogonal Design The combination of complete classes of 4 attributes with 4 +4 +4 +3 levels 98 scenarios!! With Fractional Orthogonal Design The combinations of classes of 4 attributes with 4 +4 +4 +3 levels 25 scenarios By means of the Blocking technique we constructed 5 scenarios for each interview, orthogonal and balanced. Seventh International Conference INPUT 10-12 May 2012
  • 17. THE STUDY – PART 4 Analysis of demand attracted in different service scenarios The resulting five questionnaires without dominated scenarios Seventh International Conference INPUT 10-12 May 2012
  • 18. THE STUDY – PART 4 Simulation inside GIS The final part of the methodology merges all the previous ones and introduces the use of simulation in the geographic field. Simulation consists in the solution of a complex problem, with different variable types (geographical, economic, environmental, social ones for example) that interact closely one with each other so to make impossible the use of equations or other simple systems without to generate big errors. Essentially, simulation is the researcher’s response to the inability of computers to perform integration. Stated more precisely, simulation provides a numerical approximation to integrals, with different methods offering different properties and being applicable to different kinds of integrands. Simulation allows estimation of otherwise intractable models. Practically any model can be estimated by some form of simulation (Train, 2002) Seventh International Conference INPUT 10-12 May 2012
  • 19. THE STUDY – PART 4 Scenarios simulation Simulation consists in the repeating many times the extraction of probability distributions (by means of automated elaborations inside the GIS platform) until to have a statistic distribution of service costs to allow, taking into account the variability of all phenomenon, the feasibility of each service scenario and their comparison. Seventh International Conference INPUT 10-12 May 2012
  • 20. END Thank you Massimiliano Petri Irene Nicotra osservatorio.trasporti@provincia.livorno.it i.nicotra@provincia.livorno.it Seventh International Conference INPUT 10-12 May 2012