Sustainability SI: Bikeway Network Design Model for Recreational Bicycling in Scenic Areas
Abstract A bikeway network design model was developed for recreational bicycling in scenic areas. The multi-objective 0–1 programming problem is to determine spatial layouts for networks of bikeways and service stations. The model objectives are maximizing bikeway service coverage, maximizing servic...
Ausführliche Beschreibung
Autor*in: |
Lin, Jen-Jia [verfasserIn] |
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Format: |
Artikel |
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Sprache: |
Englisch |
Erschienen: |
2014 |
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Schlagwörter: |
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Anmerkung: |
© Springer Science+Business Media New York 2014 |
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Übergeordnetes Werk: |
Enthalten in: Networks and spatial economics - Springer US, 2001, 16(2014), 1 vom: 28. Mai, Seite 9-31 |
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Übergeordnetes Werk: |
volume:16 ; year:2014 ; number:1 ; day:28 ; month:05 ; pages:9-31 |
Links: |
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DOI / URN: |
10.1007/s11067-014-9245-7 |
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Katalog-ID: |
OLC2037166346 |
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520 | |a Abstract A bikeway network design model was developed for recreational bicycling in scenic areas. The multi-objective 0–1 programming problem is to determine spatial layouts for networks of bikeways and service stations. The model objectives are maximizing bikeway service coverage, maximizing service station service coverage, minimizing cyclist risk and maximizing bikeway suitability. The model constraints are network connectivity, bikeway type, monetary budget, location relationships between bikeways and service stations, and value ranges of decision variables. The programming problem was solved by ε-constraint method in a case study of a bikeway network in North Coast & Guanyinshan National Scenic Area in northern Taiwan. Four of the six non-dominated alternatives generated in the case study were substantially superior to existing bikeways, and budget limits sensitively affected cyclist risk and bikeway suitability. The proposed network design model for recreational bikeways can assist planners in efficiently and systematically developing alternatives for further evaluation. | ||
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10.1007/s11067-014-9245-7 doi (DE-627)OLC2037166346 (DE-He213)s11067-014-9245-7-p DE-627 ger DE-627 rakwb eng 004 330 VZ 74.03$jMethoden und Techniken der Geographie und Anthropogeographie bkl 74.08$jWirtschaftsgeographie bkl 85.03$jMethoden und Techniken der Betriebswirtschaft bkl Lin, Jen-Jia verfasserin aut Sustainability SI: Bikeway Network Design Model for Recreational Bicycling in Scenic Areas 2014 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2014 Abstract A bikeway network design model was developed for recreational bicycling in scenic areas. The multi-objective 0–1 programming problem is to determine spatial layouts for networks of bikeways and service stations. The model objectives are maximizing bikeway service coverage, maximizing service station service coverage, minimizing cyclist risk and maximizing bikeway suitability. The model constraints are network connectivity, bikeway type, monetary budget, location relationships between bikeways and service stations, and value ranges of decision variables. The programming problem was solved by ε-constraint method in a case study of a bikeway network in North Coast & Guanyinshan National Scenic Area in northern Taiwan. Four of the six non-dominated alternatives generated in the case study were substantially superior to existing bikeways, and budget limits sensitively affected cyclist risk and bikeway suitability. The proposed network design model for recreational bikeways can assist planners in efficiently and systematically developing alternatives for further evaluation. Bikeway Network design problem Mathematical programming Recreational bicycling Liao, Rong-Ying aut Enthalten in Networks and spatial economics Springer US, 2001 16(2014), 1 vom: 28. Mai, Seite 9-31 (DE-627)348233310 (DE-600)2079789-8 (DE-576)9348233319 1566-113X nnns volume:16 year:2014 number:1 day:28 month:05 pages:9-31 https://doi.org/10.1007/s11067-014-9245-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-WIW GBV_ILN_26 74.03$jMethoden und Techniken der Geographie und Anthropogeographie VZ 106417797 (DE-625)106417797 74.08$jWirtschaftsgeographie VZ 18157134X (DE-625)18157134X 85.03$jMethoden und Techniken der Betriebswirtschaft VZ 106417320 (DE-625)106417320 AR 16 2014 1 28 05 9-31 |
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10.1007/s11067-014-9245-7 doi (DE-627)OLC2037166346 (DE-He213)s11067-014-9245-7-p DE-627 ger DE-627 rakwb eng 004 330 VZ 74.03$jMethoden und Techniken der Geographie und Anthropogeographie bkl 74.08$jWirtschaftsgeographie bkl 85.03$jMethoden und Techniken der Betriebswirtschaft bkl Lin, Jen-Jia verfasserin aut Sustainability SI: Bikeway Network Design Model for Recreational Bicycling in Scenic Areas 2014 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2014 Abstract A bikeway network design model was developed for recreational bicycling in scenic areas. The multi-objective 0–1 programming problem is to determine spatial layouts for networks of bikeways and service stations. The model objectives are maximizing bikeway service coverage, maximizing service station service coverage, minimizing cyclist risk and maximizing bikeway suitability. The model constraints are network connectivity, bikeway type, monetary budget, location relationships between bikeways and service stations, and value ranges of decision variables. The programming problem was solved by ε-constraint method in a case study of a bikeway network in North Coast & Guanyinshan National Scenic Area in northern Taiwan. Four of the six non-dominated alternatives generated in the case study were substantially superior to existing bikeways, and budget limits sensitively affected cyclist risk and bikeway suitability. The proposed network design model for recreational bikeways can assist planners in efficiently and systematically developing alternatives for further evaluation. Bikeway Network design problem Mathematical programming Recreational bicycling Liao, Rong-Ying aut Enthalten in Networks and spatial economics Springer US, 2001 16(2014), 1 vom: 28. Mai, Seite 9-31 (DE-627)348233310 (DE-600)2079789-8 (DE-576)9348233319 1566-113X nnns volume:16 year:2014 number:1 day:28 month:05 pages:9-31 https://doi.org/10.1007/s11067-014-9245-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-WIW GBV_ILN_26 74.03$jMethoden und Techniken der Geographie und Anthropogeographie VZ 106417797 (DE-625)106417797 74.08$jWirtschaftsgeographie VZ 18157134X (DE-625)18157134X 85.03$jMethoden und Techniken der Betriebswirtschaft VZ 106417320 (DE-625)106417320 AR 16 2014 1 28 05 9-31 |
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10.1007/s11067-014-9245-7 doi (DE-627)OLC2037166346 (DE-He213)s11067-014-9245-7-p DE-627 ger DE-627 rakwb eng 004 330 VZ 74.03$jMethoden und Techniken der Geographie und Anthropogeographie bkl 74.08$jWirtschaftsgeographie bkl 85.03$jMethoden und Techniken der Betriebswirtschaft bkl Lin, Jen-Jia verfasserin aut Sustainability SI: Bikeway Network Design Model for Recreational Bicycling in Scenic Areas 2014 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2014 Abstract A bikeway network design model was developed for recreational bicycling in scenic areas. The multi-objective 0–1 programming problem is to determine spatial layouts for networks of bikeways and service stations. The model objectives are maximizing bikeway service coverage, maximizing service station service coverage, minimizing cyclist risk and maximizing bikeway suitability. The model constraints are network connectivity, bikeway type, monetary budget, location relationships between bikeways and service stations, and value ranges of decision variables. The programming problem was solved by ε-constraint method in a case study of a bikeway network in North Coast & Guanyinshan National Scenic Area in northern Taiwan. Four of the six non-dominated alternatives generated in the case study were substantially superior to existing bikeways, and budget limits sensitively affected cyclist risk and bikeway suitability. The proposed network design model for recreational bikeways can assist planners in efficiently and systematically developing alternatives for further evaluation. Bikeway Network design problem Mathematical programming Recreational bicycling Liao, Rong-Ying aut Enthalten in Networks and spatial economics Springer US, 2001 16(2014), 1 vom: 28. Mai, Seite 9-31 (DE-627)348233310 (DE-600)2079789-8 (DE-576)9348233319 1566-113X nnns volume:16 year:2014 number:1 day:28 month:05 pages:9-31 https://doi.org/10.1007/s11067-014-9245-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-WIW GBV_ILN_26 74.03$jMethoden und Techniken der Geographie und Anthropogeographie VZ 106417797 (DE-625)106417797 74.08$jWirtschaftsgeographie VZ 18157134X (DE-625)18157134X 85.03$jMethoden und Techniken der Betriebswirtschaft VZ 106417320 (DE-625)106417320 AR 16 2014 1 28 05 9-31 |
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Sustainability SI: Bikeway Network Design Model for Recreational Bicycling in Scenic Areas |
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Sustainability SI: Bikeway Network Design Model for Recreational Bicycling in Scenic Areas |
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Abstract A bikeway network design model was developed for recreational bicycling in scenic areas. The multi-objective 0–1 programming problem is to determine spatial layouts for networks of bikeways and service stations. The model objectives are maximizing bikeway service coverage, maximizing service station service coverage, minimizing cyclist risk and maximizing bikeway suitability. The model constraints are network connectivity, bikeway type, monetary budget, location relationships between bikeways and service stations, and value ranges of decision variables. The programming problem was solved by ε-constraint method in a case study of a bikeway network in North Coast & Guanyinshan National Scenic Area in northern Taiwan. Four of the six non-dominated alternatives generated in the case study were substantially superior to existing bikeways, and budget limits sensitively affected cyclist risk and bikeway suitability. The proposed network design model for recreational bikeways can assist planners in efficiently and systematically developing alternatives for further evaluation. © Springer Science+Business Media New York 2014 |
abstractGer |
Abstract A bikeway network design model was developed for recreational bicycling in scenic areas. The multi-objective 0–1 programming problem is to determine spatial layouts for networks of bikeways and service stations. The model objectives are maximizing bikeway service coverage, maximizing service station service coverage, minimizing cyclist risk and maximizing bikeway suitability. The model constraints are network connectivity, bikeway type, monetary budget, location relationships between bikeways and service stations, and value ranges of decision variables. The programming problem was solved by ε-constraint method in a case study of a bikeway network in North Coast & Guanyinshan National Scenic Area in northern Taiwan. Four of the six non-dominated alternatives generated in the case study were substantially superior to existing bikeways, and budget limits sensitively affected cyclist risk and bikeway suitability. The proposed network design model for recreational bikeways can assist planners in efficiently and systematically developing alternatives for further evaluation. © Springer Science+Business Media New York 2014 |
abstract_unstemmed |
Abstract A bikeway network design model was developed for recreational bicycling in scenic areas. The multi-objective 0–1 programming problem is to determine spatial layouts for networks of bikeways and service stations. The model objectives are maximizing bikeway service coverage, maximizing service station service coverage, minimizing cyclist risk and maximizing bikeway suitability. The model constraints are network connectivity, bikeway type, monetary budget, location relationships between bikeways and service stations, and value ranges of decision variables. The programming problem was solved by ε-constraint method in a case study of a bikeway network in North Coast & Guanyinshan National Scenic Area in northern Taiwan. Four of the six non-dominated alternatives generated in the case study were substantially superior to existing bikeways, and budget limits sensitively affected cyclist risk and bikeway suitability. The proposed network design model for recreational bikeways can assist planners in efficiently and systematically developing alternatives for further evaluation. © Springer Science+Business Media New York 2014 |
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Sustainability SI: Bikeway Network Design Model for Recreational Bicycling in Scenic Areas |
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