Optimal Intra-Urban Hierarchy of Activity Centers—A Minimized Household Travel Energy Consumption Approach
An intra-urban hierarchy of activity centers interconnected by non-motorized and public transportation is broadly believed to be the ideal urban spatial structure for sustainable cities. However, the proper hinterland area for centers at each level lacks empirical study. Based on the concentric stru...
Ausführliche Beschreibung
Autor*in: |
Jie Zhang [verfasserIn] Yang Xie [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2015 |
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Schlagwörter: |
intra-urban hierarchy of activity centers |
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Übergeordnetes Werk: |
In: Sustainability - MDPI AG, 2009, 7(2015), 9, Seite 11838-11856 |
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Übergeordnetes Werk: |
volume:7 ; year:2015 ; number:9 ; pages:11838-11856 |
Links: |
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DOI / URN: |
10.3390/su70911838 |
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Katalog-ID: |
DOAJ014223783 |
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10.3390/su70911838 doi (DE-627)DOAJ014223783 (DE-599)DOAJ34dc7383eac54a6089b68164d6359c65 DE-627 ger DE-627 rakwb eng TD194-195 TJ807-830 GE1-350 Jie Zhang verfasserin aut Optimal Intra-Urban Hierarchy of Activity Centers—A Minimized Household Travel Energy Consumption Approach 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier An intra-urban hierarchy of activity centers interconnected by non-motorized and public transportation is broadly believed to be the ideal urban spatial structure for sustainable cities. However, the proper hinterland area for centers at each level lacks empirical study. Based on the concentric structure of everyday travel distances, working centers, shopping centers, and neighborhood centers are extracted from corresponding types of POIs in 286 Chinese cities at the prefectural level and above. A U-shaped curve between Household Transportation Energy Consumption (HTEC) per capita and center density at each of the three levels has been found through regression analysis. An optimal intra-urban hierarchy of activity centers is suggested to construct energy-efficient cities. intra-urban hierarchy of activity centers household travel energy consumption center density U-shaped curve Environmental effects of industries and plants Renewable energy sources Environmental sciences Yang Xie verfasserin aut In Sustainability MDPI AG, 2009 7(2015), 9, Seite 11838-11856 (DE-627)610604120 (DE-600)2518383-7 20711050 nnns volume:7 year:2015 number:9 pages:11838-11856 https://doi.org/10.3390/su70911838 kostenfrei https://doaj.org/article/34dc7383eac54a6089b68164d6359c65 kostenfrei http://www.mdpi.com/2071-1050/7/9/11838 kostenfrei https://doaj.org/toc/2071-1050 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 7 2015 9 11838-11856 |
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10.3390/su70911838 doi (DE-627)DOAJ014223783 (DE-599)DOAJ34dc7383eac54a6089b68164d6359c65 DE-627 ger DE-627 rakwb eng TD194-195 TJ807-830 GE1-350 Jie Zhang verfasserin aut Optimal Intra-Urban Hierarchy of Activity Centers—A Minimized Household Travel Energy Consumption Approach 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier An intra-urban hierarchy of activity centers interconnected by non-motorized and public transportation is broadly believed to be the ideal urban spatial structure for sustainable cities. However, the proper hinterland area for centers at each level lacks empirical study. Based on the concentric structure of everyday travel distances, working centers, shopping centers, and neighborhood centers are extracted from corresponding types of POIs in 286 Chinese cities at the prefectural level and above. A U-shaped curve between Household Transportation Energy Consumption (HTEC) per capita and center density at each of the three levels has been found through regression analysis. An optimal intra-urban hierarchy of activity centers is suggested to construct energy-efficient cities. intra-urban hierarchy of activity centers household travel energy consumption center density U-shaped curve Environmental effects of industries and plants Renewable energy sources Environmental sciences Yang Xie verfasserin aut In Sustainability MDPI AG, 2009 7(2015), 9, Seite 11838-11856 (DE-627)610604120 (DE-600)2518383-7 20711050 nnns volume:7 year:2015 number:9 pages:11838-11856 https://doi.org/10.3390/su70911838 kostenfrei https://doaj.org/article/34dc7383eac54a6089b68164d6359c65 kostenfrei http://www.mdpi.com/2071-1050/7/9/11838 kostenfrei https://doaj.org/toc/2071-1050 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 7 2015 9 11838-11856 |
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10.3390/su70911838 doi (DE-627)DOAJ014223783 (DE-599)DOAJ34dc7383eac54a6089b68164d6359c65 DE-627 ger DE-627 rakwb eng TD194-195 TJ807-830 GE1-350 Jie Zhang verfasserin aut Optimal Intra-Urban Hierarchy of Activity Centers—A Minimized Household Travel Energy Consumption Approach 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier An intra-urban hierarchy of activity centers interconnected by non-motorized and public transportation is broadly believed to be the ideal urban spatial structure for sustainable cities. However, the proper hinterland area for centers at each level lacks empirical study. Based on the concentric structure of everyday travel distances, working centers, shopping centers, and neighborhood centers are extracted from corresponding types of POIs in 286 Chinese cities at the prefectural level and above. A U-shaped curve between Household Transportation Energy Consumption (HTEC) per capita and center density at each of the three levels has been found through regression analysis. An optimal intra-urban hierarchy of activity centers is suggested to construct energy-efficient cities. intra-urban hierarchy of activity centers household travel energy consumption center density U-shaped curve Environmental effects of industries and plants Renewable energy sources Environmental sciences Yang Xie verfasserin aut In Sustainability MDPI AG, 2009 7(2015), 9, Seite 11838-11856 (DE-627)610604120 (DE-600)2518383-7 20711050 nnns volume:7 year:2015 number:9 pages:11838-11856 https://doi.org/10.3390/su70911838 kostenfrei https://doaj.org/article/34dc7383eac54a6089b68164d6359c65 kostenfrei http://www.mdpi.com/2071-1050/7/9/11838 kostenfrei https://doaj.org/toc/2071-1050 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 7 2015 9 11838-11856 |
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Optimal Intra-Urban Hierarchy of Activity Centers—A Minimized Household Travel Energy Consumption Approach |
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An intra-urban hierarchy of activity centers interconnected by non-motorized and public transportation is broadly believed to be the ideal urban spatial structure for sustainable cities. However, the proper hinterland area for centers at each level lacks empirical study. Based on the concentric structure of everyday travel distances, working centers, shopping centers, and neighborhood centers are extracted from corresponding types of POIs in 286 Chinese cities at the prefectural level and above. A U-shaped curve between Household Transportation Energy Consumption (HTEC) per capita and center density at each of the three levels has been found through regression analysis. An optimal intra-urban hierarchy of activity centers is suggested to construct energy-efficient cities. |
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An intra-urban hierarchy of activity centers interconnected by non-motorized and public transportation is broadly believed to be the ideal urban spatial structure for sustainable cities. However, the proper hinterland area for centers at each level lacks empirical study. Based on the concentric structure of everyday travel distances, working centers, shopping centers, and neighborhood centers are extracted from corresponding types of POIs in 286 Chinese cities at the prefectural level and above. A U-shaped curve between Household Transportation Energy Consumption (HTEC) per capita and center density at each of the three levels has been found through regression analysis. An optimal intra-urban hierarchy of activity centers is suggested to construct energy-efficient cities. |
abstract_unstemmed |
An intra-urban hierarchy of activity centers interconnected by non-motorized and public transportation is broadly believed to be the ideal urban spatial structure for sustainable cities. However, the proper hinterland area for centers at each level lacks empirical study. Based on the concentric structure of everyday travel distances, working centers, shopping centers, and neighborhood centers are extracted from corresponding types of POIs in 286 Chinese cities at the prefectural level and above. A U-shaped curve between Household Transportation Energy Consumption (HTEC) per capita and center density at each of the three levels has been found through regression analysis. An optimal intra-urban hierarchy of activity centers is suggested to construct energy-efficient cities. |
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