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How should the sustainability of the location of dry ports be measured?

Ponencia "How should the sustainability of the location of dry ports be measured?" en la European Transport Conference 2015

How should the sustainability of the location of dry ports be measured?

  1. 1. Aplicación de un modelo basado en el uso de metodología DELPHI y Análisis Multicriterio para la evaluación de la calidad de la localización de los Puertos Secos Santander Junio de 2014 HOW SHOULD THE SUSTAINABILITY OF THE LOCATION OF DRY PORTS BE MEASURED? Samir Awad Núñez Nicoletta González Cancelas Francisco Soler Flores Alberto Camarero Orive Universidad Politécnica de Madrid September 28, 2015
  2. 2. RESEARCH TEAM • PRESENTER Samir Awad Núñez MSc Civil Engineering, PhD Candidate • OTHER TEAM MEMBERS Dr. Nicoletta González Cancelas PhD Civil Engineering, University Assistant Lecturer Dr. Francisco Soler Flores PhD Computer Science-Artificial Intelligence and MSc Mathematics, Part-time Assistant Professor Dr. Alberto Camarero Orive PhD Civil Engineering and BSc Economics and Business Administration, University Lecturer 2
  3. 3. INTRODUCTION 3 Decentralized production and consumption centers Recent tendency to minimize stocks Importance of maritime transport GLOBAL ECONOMIC STRUCTURE
  4. 4. INTRODUCTION 4 Congestion in port operations and routes serving terminals Lack of open space in port areas Environmental impact on the coast GROWING IMPORTANCE OF PORTS AND THEIR EFFECTS
  5. 5. WHY AND HOW DRY PORTS? 5 Sustainability of supply chain Sustainability of the location
  6. 6. OBJECTIVE Main objective: to understand the variables influencing the sustainability of dry port location and how this sustainability can be evaluated Task: identify the existing relationships between the variables Task: establish a methodology to measure and compare the sustainability of each location Task: identify the set of variables Task: build a database of relevant geographic information 6
  7. 7. METHODOLOGY 7
  8. 8. METHODOLOGY 8
  9. 9. LOGISTICS AND DRY PORTS LAND USE PLANNING METHODOLOGIES INDUSTRIAL ALLOCATION THEORIES LITERATURE REVIEW 9 RESEARCH
  10. 10. SET OF VARIABLES 10 CATEGORY FACTOR VARIABLE VARIABLES NOT CONSIDERED
  11. 11. ENVIRONMETAL FACTORS 11 FACTOR VARIABLE CODE VARIABLE KIND Impact on the natural environment DNS Distance to natural spaces Benefit CNE Connectivity to natural environment Benefit NIS Number of isolated spaces Cost DFA Density of the facility area Benefit Impact on the urban environment DUS Distance to urban spaces Benefit CUE Connectivity to urban environment Cost Hydrology DSW Distance to surface water Benefit FL Flooding level Benefit GP Groundwater presence Benefit
  12. 12. ECONOMIC AND SOCIAL FACTORS 12 FACTOR VARIABLE CODE VARIABLE KIND Land price LP Land price Cost Potential growth in demand IPI Industrial Production Index Benefit GDP Gross Domestic Product Benefit ER Employment rate Cost Hosting municipality range PL Population level Benefit PD Population density Cost
  13. 13. ACCESSIBILITY FACTORS 13 FACTOR VARIABLE CODE VARIABLE KIND Accessibility to the rail network NRA Number of railway accesses Benefit IRE Importance of the railway environment Benefit CD Centrality of demand Benefit QR Quality of the railway Benefit Accessibility to high capacity roads network DAHCN Direct access to the high capacity network Benefit DHCR Distance to a high capacity road Cost NL Number of lanes Benefit Accessibility to airports DA Distance to an airport Cost Accessibility to ports DP Ports nearer than 400 Km Benefit Accessibility to supplies and services CSS Existence of supplies and services Benefit
  14. 14. LOCATION FACTORS 14 FACTOR VARIABLE CODE VARIABLE KIND Weather CV Climatic variety Benefit RL Rainfall level Cost WF Winter frosts Benefit Orography TC Terrain curl Benefit SL Slope Cost Geology TC Terrain curl Benefit CS Compressive strength Benefit Relation with other logistics platforms NNLP Number of nearby logistic platforms Cost NMDLP Number of middle-distance logistic platforms Benefit BICA Belonging to an industrially consolidated area Benefit Integration into the main supply chain infrastructures DPFC Distance to a principal freight corridor Cost Potential optimization of the modal shift DPPC Distance to a principal passenger corridor Benefit NPT Number of passenger trips Cost NRADT Nearest roads' ADT Cost DTENT Distance to the TEN-T Core Network Corridors Benefit
  15. 15. 15
  16. 16. Valores Category Code land_price acc_air acc_port acc_sup sup_cha Factor Land Price Accessibility to airports Accessibility to ports Accessibility to supplies and services Integration into the main supply chain infrastructures Variable Distance to natural spaces Connectivity on natural environment Number of isolated spaces Density of the facility area Distance to urban spaces Connectivity on urban environment Distance to surface water Flooding level Groundwater presence Land price Industrail production index Gross Domestic Product Unemployment rate Population level Population density Numebr of railways access Importance of the railway environment Centrality of demand Quality of the railway Direct access to the high capacity network Distance to a high capacity road Number of lanes Distance to an airport Number of ports nearer than 400 Km Currency of Supplies and services Climatic variety Rainfall level Winter frosts Terrain curl Slope Excavability Compressive strength Number of near logistic platforms Number of middle-distance logistic platforms Belonging to and industrial consolidated area Distance to a principal freight corridor Distance to a principal passengers corridor Number of passengers trips Nearest roads' ADT Distance to the TEN-TCore Network Corridors Code DNS CNE NIS DFA DUS CUE DSW FL GP LP IPI GDP EL PL PD NRA IRE CD QR DAHCN DHCR NL DA DP CSS CV RL WF TC SL EX CS NNLP NMDLP BICA DPFC DPPC NPT NRADT DTENT Type Profit Profit Cost Profit Profit Cost Profit Profit Profit Cost Profit Profit Cost Profit Cost Profit Profit Profit Profit Profit Cost Profit Cost Profit Profit Profit Cost Profit Profit Cost Cost Profit Cost Profit Profit Cost Profit Cost Cost Profit 1,65 0,00 10,00 10,00 0,25 1,00 0,38 10,00 0,00 263,00 91,71 16666,00 36,52 41827,00 55,82 12,00 6,00 4,00 10,00 0,00 9,00 4,00 60,10 7,00 10,00 5,00 551,00 10,00 10,00 0,00 6,39 1950,00 2,00 28,00 5,00 98,20 14,00 312,00 3891,00 10,00 1,00 0,00 2,00 10,00 0,00 6,00 1,00 0,00 0,00 227,10 101,97 24732,00 23,69 1045,00 38,59 3,00 2,00 3,00 10,00 5,00 15,00 4,00 36,70 7,00 10,00 0,00 313,00 10,00 10,00 0,00 0,43 800,00 5,00 59,00 10,00 0,00 71,00 1736,00 20460,00 5,00 2,50 0,00 3,00 0,00 0,00 2,00 0,79 5,00 0,00 176,80 87,77 17780,00 23,01 35146,00 1785,87 8,00 4,00 10,00 10,00 10,00 0,00 6,00 33,30 2,00 10,00 0,00 447,00 10,00 10,00 2,00 0,00 700,00 27,00 100,00 10,00 0,00 36,00 983,00 16094,00 10,00 11,00 0,00 4,00 0,00 0,20 1,00 0,00 0,00 0,00 42,50 97,56 21879,00 26,48 4610,00 54,10 10,00 6,00 4,00 10,00 5,00 16,00 4,00 36,70 7,00 10,00 0,00 774,70 0,00 2,00 3,00 8,26 2600,00 4,00 70,00 5,00 25,60 53,00 625,00 5871,00 10,00 6,40 0,00 4,00 10,00 0,20 0,50 0,00 10,00 10,00 42,50 97,56 21879,00 26,48 2130,00 88,27 8,00 6,00 3,00 5,00 5,00 5,00 4,00 124,00 8,00 10,00 5,00 668,00 10,00 2,00 3,00 0,87 900,00 10,00 70,00 5,00 131,00 27,00 251,00 11879,00 5,00 2,30 0,00 2,00 10,00 0,00 4,00 2,30 10,00 0,00 48,80 97,56 21879,00 18,11 179906,00 1680,42 12,00 2,00 7,00 10,00 10,00 0,00 4,00 1,40 5,00 10,00 0,00 555,00 0,00 10,00 1,00 0,43 800,00 7,00 100,00 10,00 0,00 63,00 611,00 22388,00 0,00 2,50 0,00 3,00 10,00 0,35 2,00 2,35 0,00 0,00 62,10 97,56 21879,00 23,26 6472,00 454,18 5,00 8,00 4,00 10,00 5,00 4,00 4,00 52,50 5,00 10,00 0,00 455,00 0,00 10,00 0,00 0,00 700,00 8,00 60,00 5,00 0,00 116,00 1319,00 11287,00 10,00 0,90 0,00 3,00 10,00 0,61 1,00 0,90 10,00 10,00 82,10 89,81 20399,00 21,86 19604,00 98,27 5,00 4,00 7,00 5,00 0,00 50,00 0,00 120,00 7,00 10,00 10,00 1084,00 10,00 2,00 2,00 0,43 800,00 2,00 50,00 5,00 225,00 33,00 384,00 942,00 10,00 4,40 0,00 12,00 10,00 0,20 3,00 4,57 0,00 0,00 425,80 86,92 28915,00 20,43 91832,00 7652,67 40,00 10,00 7,00 10,00 10,00 0,00 10,00 7,70 2,00 10,00 0,00 436,00 10,00 10,00 0,00 10,00 3000,00 12,00 120,00 10,00 0,00 54,00 800,00 23932,00 10,00 7,00 0,00 14,00 10,00 0,00 4,00 0,00 5,00 0,00 425,80 86,92 28915,00 20,43 3233527,00 5337,88 50,00 10,00 22,00 10,00 10,00 0,00 10,00 16,00 2,00 10,00 0,00 436,00 10,00 10,00 0,00 8,26 2600,00 7,00 120,00 10,00 0,00 83,00 2905,00 56638,00 10,00 11 es10; 0 es 0 - 5 ó más es 0; 1 es10- 1 es 10; 0 es0 3 ó máses 0; 0 es 105es10; 0 es 0 - - 0 es 10; 500 es 0 102 es 10; 80 es 0 0 es 0; 28915es108 es 10; 36.52es 0 35000 ó máses 10;0 es 01000 ó más es 0; 0 es 100 es 0; 10ó más es 10- - - - 15 ó más es 0; 0 es104 ó más es 10; 0es 050 ó más es 0; 0 es 08es10; 0 es 0 - - 1000ó más es 0; 0es 10- - 4 es 0; 0 es 10 - 3000 es 10; 0 es 0 10 ó más es 0; 0 es 10100 ó más es 10; 0es 0- 100 ó más es 0;0es 10100ó más es 0;0 es 100es 10; 2905 es 10100000 es 0; 0 es 10- CASik Category Code land_price acc_air acc_port acc_sup sup_cha Factor Land Price Accessibility to airports Accessibility to ports Accessibility to supplies and services Integration into the main supply chain infrastructures Variable Distance to natural spaces Connectivity on natural environment Number of isolated spaces Density of the facility area Distance to urban spaces Connectivity on urban environment Distance to surface water Flooding level Groundwater presence Land price Industrail production index Gross Domestic Product Unemployment rate Population level Population density Numebr of railways access Importance of the railway environment Centrality of demand Quality of the railway Direct access to the high capacity network Distance to a high capacity road Number of lanes Distance to an airport Number of ports nearer than 400 Km Currency of Supplies and services Climatic variety Rainfall level Winter frosts Terrain curl Slope Excavability Compressive strength Number of near logistic platforms Number of middle-distance logistic platforms Belonging to and industrial consolidated area Distance to a principal freight corridor Distance to a principal passengers corridor Number of passengers trips Nearest roads' ADT Distance to the TEN-TCore Network Corridors Code DNS CNE NIS DFA DUS CUE DSW FL GP LP IPI GDP EL PL PD NRA IRE CD QR DAHCN DHCR NL DA DP CSS CV RL WF TC SL EX CS NNLP NMDLP BICA DPFC DPPC NPT NRADT DTENT Type Profit Profit Cost Profit Profit Cost Profit Profit Profit Cost Profit Profit Cost Profit Cost Profit Profit Profit Profit Profit Cost Profit Cost Profit Profit Profit Cost Profit Profit Cost Cost Profit Cost Profit Profit Cost Profit Cost Cost Profit 1,50 0,00 0,00 10 2,50 6,67 0,76 10 0 4,74 5,32 5,76 0,00 10 9,44 10,00 6,00 4,00 10,00 0,00 4,00 10,00 0,00 8,75 10,00 5,00 4,49 10,00 10,00 10,00 6,39 6,50 8,00 2,80 5,00 1,00 8,60 8,93 9,61 10,00 0,91 0,00 7,50 10 0,00 0,00 2,00 0 0 5,46 9,98 8,55 4,50 0 9,61 3,00 2,00 3,00 10,00 5,00 0,00 10,00 2,66 8,75 10,00 0,00 6,87 10,00 10,00 10,00 0,43 2,67 5,00 5,90 10,00 7,00 2,90 4,02 7,95 5,00 2,27 0,00 5,00 0 0,00 3,33 1,58 5 0 6,46 3,53 6,15 4,74 10 0,00 8,00 4,00 10,00 10,00 10,00 10,00 10,00 3,34 2,50 10,00 0,00 5,53 10,00 10,00 5,00 0,00 2,33 0,00 10,00 10,00 8,00 6,40 6,62 8,39 10,00 10,00 0,00 2,50 0 2,00 6,67 0,00 0 0 9,15 7,98 7,57 3,52 1 9,46 10,00 6,00 4,00 10,00 5,00 0,00 10,00 2,66 8,75 10,00 0,00 2,25 0,00 2,00 2,50 8,26 8,67 6,00 7,00 5,00 2,00 4,70 7,85 9,41 10,00 5,82 0,00 2,50 10 2,00 8,33 0,00 10 10 9,15 7,98 7,57 3,52 1 9,12 8,00 6,00 3,00 5,00 5,00 6,67 10,00 0,00 10,00 10,00 5,00 3,32 10,00 2,00 2,50 0,87 3,00 0,00 7,00 5,00 0,00 7,30 9,14 8,81 5,00 2,09 0,00 7,50 10 0,00 0,00 4,60 10 0 9,02 7,98 7,57 6,46 10 0,00 10,00 2,00 7,00 10,00 10,00 10,00 10,00 9,72 6,25 10,00 0,00 4,45 0,00 10,00 7,50 0,43 2,67 3,00 10,00 10,00 6,00 3,70 7,90 7,76 0,00 2,27 0,00 5,00 10 3,50 3,33 4,70 0 0 8,76 7,98 7,57 4,65 2 5,46 5,00 8,00 4,00 10,00 5,00 7,33 10,00 0,00 6,25 10,00 0,00 5,45 0,00 10,00 10,00 0,00 2,33 2,00 6,00 5,00 5,00 0,00 5,46 8,87 10,00 0,82 0,00 5,00 10 6,10 6,67 1,80 10 10 8,36 4,46 7,05 5,14 6 9,02 5,00 4,00 7,00 5,00 0,00 0,00 0,00 0,00 8,75 10,00 10,00 0,00 10,00 2,00 5,00 0,43 2,67 8,00 5,00 5,00 3,00 6,70 8,68 9,91 10,00 4,00 0,00 0,00 10 2,00 0,00 9,14 0 0 1,48 3,15 10,00 5,64 10 0,00 10,00 10,00 7,00 10,00 10,00 10,00 10,00 8,46 2,50 10,00 0,00 5,64 10,00 10,00 10,00 10,00 10,00 0,00 10,00 10,00 9,00 4,60 7,25 7,61 10,00 6,36 0,00 0,00 10 0,00 0,00 0,00 5 0 1,48 3,15 10,00 5,64 10 0,00 10,00 10,00 10,00 10,00 10,00 10,00 10,00 6,80 2,50 10,00 0,00 5,64 10,00 10,00 10,00 8,26 8,67 3,00 10,00 10,00 10,00 1,70 0,00 4,34 10,00 10,00 0,00 9,10 0,00 8,20 8,20 7,30 7,30 6,40 7,30 6,40 5,50 6,40 4,60 5,50 5,50 8,20 5,50 0,00 4,60 3,70 3,70 5,50 2,80 0,00 5,50 2,80 2,80 5,50 2,80 8,20 8,20 1,90 3,70 1,00 5,50 6,40 6,40 1,00 3,70 7,00 5,00 10,00 8,00 5,50 CASik*wk Category Code land_price acc_air acc_port acc_sup sup_cha Factor Land Price Accessibility to airports Accessibility to ports Accessibility to supplies and services Integration into the main supply chain infrastructures Variable Distance to natural spaces Connectivity on natural environment Number of isolated spaces Density of the facility area Distance to urban spaces Connectivity on urban environment Distance to surface water Flooding level Groundwater presence Land price Industrail production index Gross Domestic Product Unemployment rate Population level Population density Numebr of railways access Importance of the railway environment Centrality of demand Quality of the railway Direct access to the high capacity network Distance to a high capacity road Number of lanes Distance to an airport Number of ports nearer than 400 Km Currency of Supplies and services Climatic variety Rainfall level Winter frosts Terrain curl Slope Excavability Compressive strength Number of near logistic platforms Number of middle-distance logistic platforms Belonging to and industrial consolidated area Distance to a principal freight corridor Distance to a principal passengers corridor Number of passengers trips Nearest roads' ADT Distance to the TEN-TCore Network Corridors Code DNS CNE NIS DFA DUS CUE DSW FL GP LP IPI GDP EL PL PD NRA IRE CD QR DAHCN DHCR NL DA DP CSS CV RL WF TC SL EX CS NNLP NMDLP BICA DPFC DPPC NPT NRADT DTENT Type Profit Profit Cost Profit Profit Cost Profit Profit Profit Cost Profit Profit Cost Profit Cost Profit Profit Profit Profit Profit Cost Profit Cost Profit Profit Profit Cost Profit Profit Cost Cost Profit Cost Profit Profit Cost Profit Cost Cost Profit 15,00 0,00 0,00 0,00 20,50 54,67 5,55 73,00 0,00 34,60 34,07 31,70 0,00 46,00 51,93 55,00 49,20 22,00 0,00 0,00 14,80 37,00 0,00 24,50 0,00 27,50 12,57 28,00 55,00 28,00 52,39 53,30 15,20 10,36 5,00 5,50 55,04 57,13 9,61 37,00 9,09 0,00 68,25 0,00 0,00 0,00 14,60 0,00 0,00 39,84 63,90 47,04 28,79 1,37 52,88 16,50 16,40 16,50 0,00 23,00 0,00 37,00 14,63 24,50 0,00 0,00 19,24 28,00 55,00 28,00 3,57 21,87 9,50 21,83 10,00 38,50 18,56 25,75 7,95 18,50 22,73 0,00 45,50 0,00 0,00 27,33 11,53 36,50 0,00 47,19 22,59 33,82 30,32 46,19 0,00 44,00 32,80 55,00 0,00 46,00 37,00 37,00 18,37 7,00 0,00 0,00 15,48 28,00 55,00 14,00 0,00 19,13 0,00 37,00 10,00 44,00 40,96 42,34 8,39 37,00 100,00 0,00 22,75 0,00 16,40 54,67 0,00 0,00 0,00 66,80 51,09 41,62 22,53 6,06 52,02 55,00 49,20 22,00 0,00 23,00 0,00 37,00 14,63 24,50 0,00 0,00 6,31 0,00 11,00 7,00 67,74 71,07 11,40 25,90 5,00 11,00 30,08 50,23 9,41 37,00 58,18 0,00 22,75 0,00 16,40 68,33 0,00 73,00 64,00 66,80 51,09 41,62 22,53 2,80 50,15 44,00 49,20 16,50 0,00 23,00 24,67 37,00 0,00 28,00 0,00 27,50 9,30 28,00 11,00 7,00 7,13 24,60 0,00 25,90 5,00 0,00 46,72 58,47 8,81 18,50 20,91 0,00 68,25 0,00 0,00 0,00 33,58 73,00 0,00 65,88 51,09 41,62 41,31 46,00 0,00 55,00 16,40 38,50 0,00 46,00 37,00 37,00 53,46 17,50 0,00 0,00 12,46 0,00 55,00 21,00 3,57 21,87 5,70 37,00 10,00 33,00 23,68 50,54 7,76 0,00 22,73 0,00 45,50 0,00 28,70 27,33 34,31 0,00 0,00 63,93 51,09 41,62 29,76 8,51 30,02 27,50 65,60 22,00 0,00 23,00 27,13 37,00 0,00 17,50 0,00 0,00 15,26 0,00 55,00 28,00 0,00 19,13 3,80 22,20 5,00 27,50 0,00 34,94 8,87 37,00 8,18 0,00 45,50 0,00 50,02 54,67 13,14 73,00 64,00 61,01 28,53 38,80 32,90 25,77 49,60 27,50 32,80 38,50 0,00 0,00 0,00 0,00 0,00 24,50 0,00 55,00 0,00 28,00 11,00 14,00 3,57 21,87 15,20 18,50 5,00 16,50 42,88 55,54 9,91 37,00 40,00 0,00 0,00 0,00 16,40 0,00 66,72 0,00 0,00 10,83 20,13 55,00 36,11 46,00 0,00 55,00 82,00 38,50 0,00 46,00 37,00 37,00 46,53 7,00 0,00 0,00 15,79 28,00 55,00 28,00 82,00 82,00 0,00 37,00 10,00 49,50 29,44 46,38 7,61 37,00 63,64 0,00 0,00 0,00 0,00 0,00 0,00 36,50 0,00 10,83 20,13 55,00 36,11 46,00 0,00 55,00 82,00 55,00 0,00 46,00 37,00 37,00 37,40 7,00 0,00 0,00 15,79 28,00 55,00 28,00 67,74 71,07 5,70 37,00 10,00 55,00 10,88 0,00 4,34 37,00 CASik*wk*Wk Category Code land_price acc_air acc_port acc_sup sup_cha Factor Land Price Accessibility to airports Accessibility to ports Accessibility to supplies and services Integration into the main supply chain infrastructures Variable Distance to natural spaces Connectivity on natural environment Number of isolated spaces Density of the facility area Distance to urban spaces Connectivity on urban environment Distance to surface water Flooding level Groundwater presence Land price Industrail production index Gross Domestic Product Unemployment rate Population level Population density Numebr of railways access Importance of the railway environment Centrality of demand Quality of the railway Direct access to the high capacity network Distance to a high capacity road Number of lanes Distance to an airport Number of ports nearer than 400 Km Currency of Supplies and services Climatic variety Rainfall level Winter frosts Terrain curl Slope Excavability Compressive strength Number of near logistic platforms Number of middle-distance logistic platforms Belonging to and industrial consolidated area Distance to a principal freight corridor Distance to a principal passengers corridor Number of passengers trips Nearest roads' ADT Distance to the TEN-TCore Network Corridors Code DNS CNE NIS DFA DUS CUE DSW FL GP LP IPI GDP EL PL PD NRA IRE CD QR DAHCN DHCR NL DA DP CSS CV RL WF TC SL EX CS NNLP NMDLP BICA DPFC DPPC NPT NRADT DTENT Type Profit Profit Cost Profit Profit Cost Profit Profit Profit Cost Profit Profit Cost Profit Cost Profit Profit Profit Profit Profit Cost Profit Cost Profit Profit Profit Cost Profit Profit Cost Cost Profit Cost Profit Profit Cost Profit Cost Cost Profit 75,00 0,00 0,00 0,00 148,63 396,33 33,29 438,00 0,00 242,21 218,07 202,89 0,00 230,00 259,65 550,00 492,00 220,00 0,00 0,00 148,00 370,00 0,00 245,00 0,00 82,50 37,72 84,00 275,00 140,00 261,94 266,50 121,60 82,88 40,00 30,25 277,95 288,49 48,54 186,85 45,45 0,00 341,25 0,00 0,00 0,00 87,60 0,00 0,00 278,90 408,97 301,08 184,26 6,87 264,39 165,00 164,00 165,00 0,00 230,00 0,00 370,00 73,15 245,00 0,00 0,00 57,71 84,00 275,00 140,00 17,83 109,33 76,00 174,64 80,00 211,75 93,73 130,06 40,17 93,43 113,64 0,00 227,50 0,00 0,00 198,17 69,20 219,00 0,00 330,31 144,57 216,45 194,03 230,96 0,00 440,00 328,00 550,00 0,00 460,00 370,00 370,00 91,85 70,00 0,00 0,00 46,45 84,00 275,00 70,00 0,00 95,67 0,00 296,00 80,00 242,00 206,85 213,83 42,37 186,85 500,00 0,00 113,75 0,00 118,90 396,33 0,00 0,00 0,00 467,57 326,99 266,35 144,19 30,29 260,12 550,00 492,00 220,00 0,00 230,00 0,00 370,00 73,15 245,00 0,00 0,00 18,93 0,00 55,00 35,00 338,70 355,33 91,20 207,20 40,00 60,50 151,90 253,66 47,54 186,85 290,91 0,00 113,75 0,00 118,90 495,42 0,00 438,00 384,00 467,57 326,99 266,35 144,19 14,00 250,73 440,00 492,00 165,00 0,00 230,00 246,67 370,00 0,00 280,00 0,00 82,50 27,89 84,00 55,00 35,00 35,65 123,00 0,00 207,20 40,00 0,00 235,94 295,27 44,50 93,43 104,55 0,00 341,25 0,00 0,00 0,00 201,48 438,00 0,00 461,13 326,99 266,35 264,40 230,00 0,00 550,00 164,00 385,00 0,00 460,00 370,00 370,00 267,30 175,00 0,00 0,00 37,38 0,00 275,00 105,00 17,83 109,33 45,60 296,00 80,00 181,50 119,58 255,22 39,19 0,00 113,64 0,00 227,50 0,00 208,08 198,17 205,86 0,00 0,00 447,53 326,99 266,35 190,44 42,53 150,10 275,00 656,00 220,00 0,00 230,00 271,33 370,00 0,00 175,00 0,00 0,00 45,78 0,00 275,00 140,00 0,00 95,67 30,40 177,60 40,00 151,25 0,00 176,45 44,80 186,85 40,91 0,00 227,50 0,00 362,65 396,33 78,84 438,00 384,00 427,09 182,59 248,33 210,54 128,83 247,98 275,00 328,00 385,00 0,00 0,00 0,00 0,00 0,00 245,00 0,00 165,00 0,00 84,00 55,00 70,00 17,83 109,33 121,60 148,00 40,00 90,75 216,54 280,48 50,02 186,85 200,00 0,00 0,00 0,00 118,90 0,00 400,33 0,00 0,00 75,83 128,82 352,00 231,08 230,00 0,00 550,00 820,00 385,00 0,00 460,00 370,00 370,00 232,65 70,00 0,00 0,00 47,38 84,00 275,00 140,00 410,00 410,00 0,00 296,00 80,00 272,25 148,67 234,19 38,41 186,85 318,18 0,00 0,00 0,00 0,00 0,00 0,00 219,00 0,00 75,83 128,82 352,00 231,08 230,00 0,00 550,00 820,00 550,00 0,00 460,00 370,00 370,00 187,00 70,00 0,00 0,00 47,38 84,00 275,00 140,00 338,70 355,33 45,60 296,00 80,00 302,50 54,94 0,00 21,90 186,85 Total Máximo % calidad Posioción Total sostenibilidad Máximo sostenibilidad % sostenibilidad Posición sostenibilidad Total medio ambiente Máximo medio ambiente % medio ambiente Posición medio ambiente Total socioeconómico Máximo socioeconómico % socioeconómico Posición socieconómico Total accesibilidad Máximo accesibilidad % accesibilidad Posición accesibilidad Total localización Máximo localización % localización Posición localización 6493,29 51,75 7 2244,07 40,14 6 1091,25 32,06 4 1152,82 52,71 7 2025,00 55,10 8 2224,22 67,76 3 4914,56 39,16 10 1918,77 34,32 8 474,30 13,93 10 1444,47 66,04 5 1412,15 38,43 9 1583,64 48,25 7 6462,70 51,50 6 1943,82 34,77 7 827,51 24,31 7 1116,32 51,04 8 2679,85 72,92 4 1839,02 56,03 5 6646,45 52,97 5 2624,50 46,94 4 1128,98 33,17 3 1495,51 68,38 2 2180,15 59,32 7 1841,81 56,11 4 6893,84 54,94 4 3310,79 59,21 2 1840,98 54,08 2 1469,82 67,20 3 2223,67 60,51 5 1359,38 41,42 10 6937,08 55,28 3 2634,14 47,11 3 1085,28 31,88 5 1548,87 70,81 1 2741,30 74,59 3 1561,64 47,58 6 5938,31 47,32 9 2377,18 42,52 5 953,24 28,00 6 1423,94 65,10 6 2197,33 59,79 6 1363,80 41,55 9 6241,99 49,74 8 3373,59 60,34 1 1928,23 56,65 1 1445,36 66,08 4 1233,00 33,55 10 1635,41 49,83 8 7617,37 60,70 1 1736,97 31,07 9 719,23 21,13 8 1017,73 46,53 9 3257,65 88,64 2 2622,76 79,91 1 7160,11 57,06 2 1554,92 27,81 10 537,18 15,78 9 1017,73 46,53 9 3377,00 91,89 1 2228,20 67,89 2 52,36 41,33 29,94 65,57 60,15 52,93 5,01 12,64 10,96 15,47 18,02 17,11 acc_road wea orog geol rel_plat mod_shi Environmental Economic and social Accesibility Location imp_nat imp_urb hydro dem_gro mun_ran acc_rail Accessibility to high capacity roads network Weather Orography Geology Relation with other logistics platforms Potential optimization of the modal shiftImpact on natural environment Impact on urban environment Hydrology Potential Demand Growth Hosting municipality range Accessibility to the rail network VI VII VIII IX X Environmental Dry Port I II III IV V Economic and social Accesibility Location imp_nat imp_urb hydro dem_gro mun_ran acc_rail acc_road wea orog geol rel_plat mod_shi Impact on natural environment Impact on urban environment Hydrology Potential Demand Growth Hosting municipality range Potential optimization of the modal shift Dry Port I II III IV Accessibility to the rail network Accessibility to high capacity roads network Weather Orography Geology Relation with other logistics platforms Peso variable Peso factor 5,00 7,25 6,00 6,40 V VI VII VIII IX X 8,00 5,05 Environmental Economic and social Accesibility Location 5,00 10,00 10,00 3,00 5,00 5,00 acc_road wea orog geol rel_plat mod_shiimp_nat imp_urb hydro dem_gro mun_ran acc_rail Accessibility to high capacity roads network Weather Orography Geology Relation with other logistics platforms Potential optimization of the modal shiftImpact on natural environment Impact on urban environment Hydrology Potential Demand Growth Hosting municipality range Accessibility to the rail network VI VII VIII IX X Environmental Dry Port I II III IV V Economic and social Accesibility Location imp_nat imp_urb hydro dem_gro mun_ran acc_rail acc_road wea orog geol rel_plat mod_shi Impact on natural environment Impact on urban environment Hydrology Potential Demand Growth Hosting municipality range Potential optimization of the modal shift Dry Port I II III IV Accessibility to the rail network Accessibility to high capacity roads network Weather Orography Geology Relation with other logistics platforms 12548,45 5591,20 3404,00 2187,20 3675,00 3282,25 V VI VII VIII IX X 16
  17. 17. METHODOLOGY 17
  18. 18. BAYESIAN NETWORK 18
  19. 19. METHODOLOGY 19
  20. 20. BAYESIAN NETWORK 20 Layer Depth
  21. 21. BAYESIAN NETWORK 21
  22. 22. DELPHI QUESTIONNAIRE 22
  23. 23. METHODOLOGY 23
  24. 24. 24
  25. 25. Variable DNS CNE NIS DFA DUS CUE DSW FL GP LP IPI GDP EL PL PD NRA IRE CD QR DAHCN DHCR NL DA DP CSS CV RL WF TC SL EX CS NNLP NMDLP BICA DPFC DPPC NPT NRADT DTENT I 1,50 0,00 0,00 10,00 2,50 6,67 0,76 10,00 0,00 4,74 5,32 5,76 0,00 10,00 9,44 10,00 6,00 4,00 10,00 0,00 4,00 10,00 0,00 8,75 10,00 5,00 4,49 10,00 10,00 10,00 6,39 6,50 8,00 2,80 5,00 1,00 8,60 8,93 9,61 10,00 II 0,91 0,00 7,50 10,00 0,00 0,00 2,00 0,00 0,00 5,46 9,98 8,55 4,50 0,30 9,61 3,00 2,00 3,00 10,00 5,00 0,00 10,00 2,66 8,75 10,00 0,00 6,87 10,00 10,00 10,00 0,43 2,67 5,00 5,90 10,00 7,00 2,90 4,02 7,95 5,00 III 2,27 0,00 5,00 0,00 0,00 3,33 1,58 5,00 0,00 6,46 3,53 6,15 4,74 10,04 0,00 8,00 4,00 10,00 10,00 10,00 10,00 10,00 3,34 2,50 10,00 0,00 5,53 10,00 10,00 5,00 0,00 2,33 0,00 10,00 10,00 8,00 6,40 6,62 8,39 10,00 IV 10,00 0,00 2,50 0,00 2,00 6,67 0,00 0,00 0,00 9,15 7,98 7,57 3,52 1,32 9,46 10,00 6,00 4,00 10,00 5,00 0,00 10,00 2,66 8,75 10,00 0,00 2,25 0,00 2,00 2,50 8,26 8,67 6,00 7,00 5,00 2,00 4,70 7,85 9,41 10,00 V 5,82 0,00 2,50 10,00 2,00 8,33 0,00 10,00 10,00 9,15 7,98 7,57 3,52 0,61 9,12 8,00 6,00 3,00 5,00 5,00 6,67 10,00 0,00 10,00 10,00 5,00 3,32 10,00 2,00 2,50 0,87 3,00 0,00 7,00 5,00 0,00 7,30 9,14 8,81 5,00 VI 2,09 0,00 7,50 10,00 0,00 0,00 4,60 10,00 0,00 9,02 7,98 7,57 6,46 10,00 0,00 10,00 2,00 7,00 10,00 10,00 10,00 10,00 9,72 6,25 10,00 0,00 4,45 0,00 10,00 7,50 0,43 2,67 3,00 10,00 10,00 6,00 3,70 7,90 7,76 0,00 VII 2,27 0,00 5,00 10,00 3,50 3,33 4,70 0,00 0,00 8,76 7,98 7,57 4,65 1,85 5,46 5,00 8,00 4,00 10,00 5,00 7,33 10,00 0,00 6,25 10,00 0,00 5,45 0,00 10,00 10,00 0,00 2,33 2,00 6,00 5,00 5,00 0,00 5,46 8,87 10,00 VIII 0,82 0,00 5,00 10,00 6,10 6,67 1,80 10,00 10,00 8,36 4,46 7,05 5,14 5,60 9,02 5,00 4,00 7,00 5,00 0,00 0,00 0,00 0,00 8,75 10,00 10,00 0,00 10,00 2,00 5,00 0,43 2,67 8,00 5,00 5,00 3,00 6,70 8,68 9,91 10,00 IX 4,00 0,00 0,00 10,00 2,00 0,00 9,14 0,00 0,00 1,48 3,15 10,00 5,64 10,00 0,00 10,00 10,00 7,00 10,00 10,00 10,00 10,00 8,46 2,50 10,00 0,00 5,64 10,00 10,00 10,00 10,00 10,00 0,00 10,00 10,00 9,00 4,60 7,25 7,61 10,00 X 6,36 0,00 0,00 10,00 0,00 0,00 0,00 5,00 0,00 1,48 3,15 10,00 5,64 10,00 0,00 10,00 10,00 10,00 10,00 10,00 10,00 10,00 6,80 2,50 10,00 0,00 5,64 10,00 10,00 10,00 8,26 8,67 3,00 10,00 10,00 10,00 1,70 0,00 4,34 10,00 25
  26. 26. METHODOLOGY 26 LQRi = EP · SCASik · wk · Wk EP ∈ N 0,1 i ∈ N 1, … ,10 ; k ∈ N 1, … ,17 ; k ∈ N 1, … ,40
  27. 27. RESULTS 27 Environmental Economic and Social Accessibility Location Sustainability Quality (LQR) I 1091.2 32.1% 1152.8 52.7% 2025.0 55.1% 2224.2 67.8% 2244.1 40.1% 6022.0 48.0% II 474.3 13.9% 1444.5 66.0% 1412.2 38.4% 1583.6 48.2% 1918.8 34.3% 4827.0 38.5% III 827.5 24.3% 1116.3 51.0% 2679.9 72.9% 1839.0 56.0% 1943.8 34.8% 6174.5 49.2% IV 1129.0 33.2% 1495.5 68.4% 2180.2 59.3% 1841.8 56.1% 2624.5 46.9% 6646.5 53.0% V 1841.0 54.1% 1469.8 67.2% 2223.7 60.5% 1359.4 41.4% 3310.8 59.2% 6071.8 48.4% VI 1085.3 31.9% 1548.9 70.8% 2741.3 74.6% 1561.6 47.6% 2634.1 47.1% 6297.6 50.2% VII 953.2 28.0% 1423.9 65.1% 2197.3 59.8% 1363.8 41.6% 2377.2 42.5% 5732.5 45.7% VIII 1928.2 56.6% 1445.4 66.1% 1233.0 33.6% 1635.4 49.8% 3373.6 60.3% 5341.2 42.6% IX 719.2 21.1% 1017.7 46.5% 3257.7 88.6% 2622.8 79.9% 1737.0 31.1% 7217.0 57.5% X 537.2 15.8% 1017.7 46.5% 3377.0 91.9% 2228.2 67.9% 1554.9 27.8% 6941.1 55.3% Average 1058.6 31.1% 1313.3 60.0% 2332.7 63.5% 1826.0 55.6% 2371.9 42.4% 6127.1 48.8% Median 1019.3 29.9% 1434.2 65.6% 2210.5 60.1% 1737.2 52.9% 2310.6 41.3% 6123.2 48.8% Std Dev 373.2 11.0% 338.3 15.5% 662.2 18.0% 561.5 17.1% 623.0 11.1% 754.4 6.0% Max 3404.0 2187.2 3675.0 3282.3 5591.2 12548.5
  28. 28. CONCLUSIONS Multidisciplinary problem Environmental variables are the most important Four variables are unrelated to the rest of the network, but we must not lose sight of these variables in future evaluations Ability of the methodology 28
  29. 29. Samir Awad Núñez samir.awad@caminos.upm.es Department of Civil Engineering - Transport and Land Use Planning Technical University of Madrid
  • MillanFrankNyamutumb

    Dec. 16, 2020
  • samahdardara1

    Jun. 3, 2020
  • rutma

    Mar. 21, 2019
  • wongoPitgorasManuelF

    Sep. 20, 2016

Ponencia "How should the sustainability of the location of dry ports be measured?" en la European Transport Conference 2015

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