Chen et al 2016c - Revision history

Scipediacontent at 16:02, 25 January 2021

2021-01-25T16:02:08Z

Scipediacontent at 10:24, 22 January 2021

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Scipediacontent at 13:23, 21 January 2021

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Scipediacontent: Scipediacontent moved page Draft Content 530563549 to Chen et al 2016c

2020-10-14T11:59:24Z

Scipediacontent moved page Draft Content 530563549 to Chen et al 2016c

Scipediacontent: Created page with " == Abstract == Faced with the challenge of providing adequate transport services with limited resources, cities have, for several decades, been investing in Intelligent Tran..."

2020-10-14T11:59:22Z

Created page with " == Abstract == Faced with the challenge of providing adequate transport services with limited resources, cities have, for several decades, been investing in Intelligent Tran..."

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== Abstract ==

Faced with the challenge of providing adequate transport services with limited resources, cities have, for several decades, been investing in Intelligent Transportation Systems (ITS). ITS utilize Information and Communications Technology (ICT) to make more efficient use of existing transport infrastructure with the aim of improving transport services and reducing congestion, accidents, and air pollution. In the past two decades, with the rapid advancement of ICT and intensive advocacy from big technology vendors, the concept of smart cities has gained great popularity and many cities have started to undertake a more holistic approach to improving urban services using technology in the name of smart city initiatives. Section two introduces these themes, which serve as the analytical framework to understand how smart mobility investments lead to energy savings. The comparison in the search for similarities among the case studies and interviews helped us develop a conceptual model, emphasizing cause and effect and presented in section three, of how ITS deployment and operation in the context of smart cities leads to energy saving benefits. This conceptual model is presented with detailed discussions of institutional, technological, and physical conditions at each step in the model. Section four focuses on energy savings with quantitative evidence of energy saving potential of ITS investments collected from literature and case studies. Section five links the results of this study to the Wuhan Integrated Transport Development Project and how the knowledge has been incorporated into project design. To further explore the energy efficiency potential of Wuhan and to mainstream ITS and smart transport solutions as a source of achieving energy efficiency using results of this study, a TRACE analysis was also completed as part of this research effort. This analysis focused on the passenger transport sector. Finally, policy recommendations on the major conditions under which ITS investments in the context of smart cities achieve energy savings are summarized in Section 6 with specific implications for cities in the developing countries.

Document type: Book

== Full document ==
<pdf>Media:Draft_Content_530563549-beopen434-9351-document.pdf</pdf>

== Original document ==

The different versions of the original document can be found in:

* [http://dx.doi.org/10.1016/j.trd.2017.06.008 http://dx.doi.org/10.1016/j.trd.2017.06.008] under the license http://creativecommons.org/licenses/by/3.0/igo

* [http://dx.doi.org/10.1596/24740 http://dx.doi.org/10.1596/24740]

* [http://hdl.handle.net/10986/27679 http://hdl.handle.net/10986/27679] under the license http://creativecommons.org/licenses/by-nc-nd/3.0/igo

* [https://doi.org/10.1016/j.trd.2017.06.008 https://doi.org/10.1016/j.trd.2017.06.008] under the license cc-by

* [https://openknowledge.worldbank.org/bitstream/10986/24740/1/Achieving0ener0ext0of0smart0cities.pdf https://openknowledge.worldbank.org/bitstream/10986/24740/1/Achieving0ener0ext0of0smart0cities.pdf] under the license cc-by

DOIS: 10.1016/j.trd.2017.06.008 10.1596/24740

@@ Line 2: / Line 2: @@
 == Abstract ==
-Faced with the challenge of providing             adequate transport services with limited resources, cities             have, for several decades, been investing in Intelligent             Transportation Systems (ITS). ITS utilize Information and             Communications Technology (ICT) to make more efficient use             of existing transport infrastructure with the aim of             improving transport services and reducing congestion,             accidents, and air pollution. In the past two decades, with             the rapid advancement of ICT and intensive advocacy from big             technology vendors, the concept of âsmart citiesâ has gained             great popularity and many cities have started to undertake a             more holistic approach to improving urban services using             technology in the name of smart city initiatives. Section             two introduces these themes, which serve as the analytical             framework to understand how smart mobility investments lead             to energy savings. The comparison in the search for             similarities among the case studies and interviews helped us             develop a conceptual model, emphasizing cause and effect and             presented in section three, of how ITS deployment and             operation in the context of smart cities leads to energy             saving benefits. This conceptual model is presented with             detailed discussions of institutional, technological, and             physical conditions at each step in the model. Section four             focuses on energy savings with quantitative evidence of             energy saving potential of ITS investments collected from             literature and case studies. Section five links the results             of this study to the Wuhan Integrated Transport Development             Project and how the knowledge has been incorporated into             project design. To further explore the energy efficiency             potential of Wuhan and to mainstream ITS and smart transport             solutions as a source of achieving energy efficiency using             results of this study, a TRACE analysis was also completed             as part of this research effort. This analysis focused on             the passenger transport sector. Finally, policy             recommendations on the major conditions under which ITS             investments in the context of smart cities achieve energy             savings are summarized in Section 6 with specific             implications for cities in the developing countries.
+Faced with the challenge of providing             adequate transport services with limited resources, cities             have, for several decades, been investing in Intelligent             Transportation Systems (ITS). ITS utilize Information and             Communications Technology (ICT) to make more efficient use             of existing transport infrastructure with the aim of             improving transport services and reducing congestion,             accidents, and air pollution. In the past two decades, with             the rapid advancement of ICT and intensive advocacy from big             technology vendors, the concept of ‘smart cities’ has gained             great popularity and many cities have started to undertake a             more holistic approach to improving urban services using             technology in the name of smart city initiatives. Section             two introduces these themes, which serve as the analytical             framework to understand how smart mobility investments lead             to energy savings. The comparison in the search for             similarities among the case studies and interviews helped us             develop a conceptual model, emphasizing cause and effect and             presented in section three, of how ITS deployment and             operation in the context of smart cities leads to energy             saving benefits. This conceptual model is presented with             detailed discussions of institutional, technological, and             physical conditions at each step in the model. Section four             focuses on energy savings with quantitative evidence of             energy saving potential of ITS investments collected from             literature and case studies. Section five links the results             of this study to the Wuhan Integrated Transport Development             Project and how the knowledge has been incorporated into             project design. To further explore the energy efficiency             potential of Wuhan and to mainstream ITS and smart transport             solutions as a source of achieving energy efficiency using             results of this study, a TRACE analysis was also completed             as part of this research effort. This analysis focused on             the passenger transport sector. Finally, policy             recommendations on the major conditions under which ITS             investments in the context of smart cities achieve energy             savings are summarized in Section 6 with specific             implications for cities in the developing countries.
 Document type: Book
 == Full document ==
-<pdf>Media:Chen_et_al_2016c-beopen683-8741-document.pdf</pdf>
+<pdf>Media:Chen_et_al_2016c-beopen384-6475-document.pdf</pdf>

← Older revision		Revision as of 10:24, 22 January 2021
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	== Full document ==		== Full document ==
−	<pdf>Media:Chen_et_al_2016c-~~beopen386~~-~~4054~~-document.pdf</pdf>	+	<pdf>Media:Chen_et_al_2016c-beopen683-8741-document.pdf</pdf>

@@ Line 2: / Line 2: @@
 == Abstract ==
-Faced with the challenge of providing adequate transport services with limited resources, cities have, for several decades, been investing in Intelligent Transportation Systems (ITS). ITS utilize Information and Communications Technology (ICT) to make more efficient use of existing transport infrastructure with the aim of improving transport services and reducing congestion, accidents, and air pollution. In the past two decades, with the rapid advancement of ICT and intensive advocacy from big technology vendors, the concept of smart cities has gained great popularity and many cities have started to undertake a more holistic approach to improving urban services using technology in the name of smart city initiatives. Section two introduces these themes, which serve as the analytical framework to understand how smart mobility investments lead to energy savings. The comparison in the search for similarities among the case studies and interviews helped us develop a conceptual model, emphasizing cause and effect and presented in section three, of how ITS deployment and operation in the context of smart cities leads to energy saving benefits. This conceptual model is presented with detailed discussions of institutional, technological, and physical conditions at each step in the model. Section four focuses on energy savings with quantitative evidence of energy saving potential of ITS investments collected from literature and case studies. Section five links the results of this study to the Wuhan Integrated Transport Development Project and how the knowledge has been incorporated into project design. To further explore the energy efficiency potential of Wuhan and to mainstream ITS and smart transport solutions as a source of achieving energy efficiency using results of this study, a TRACE analysis was also completed as part of this research effort. This analysis focused on the passenger transport sector. Finally, policy recommendations on the major conditions under which ITS investments in the context of smart cities achieve energy savings are summarized in Section 6 with specific implications for cities in the developing countries.
+Faced with the challenge of providing             adequate transport services with limited resources, cities             have, for several decades, been investing in Intelligent             Transportation Systems (ITS). ITS utilize Information and             Communications Technology (ICT) to make more efficient use             of existing transport infrastructure with the aim of             improving transport services and reducing congestion,             accidents, and air pollution. In the past two decades, with             the rapid advancement of ICT and intensive advocacy from big             technology vendors, the concept of âsmart citiesâ has gained             great popularity and many cities have started to undertake a             more holistic approach to improving urban services using             technology in the name of smart city initiatives. Section             two introduces these themes, which serve as the analytical             framework to understand how smart mobility investments lead             to energy savings. The comparison in the search for             similarities among the case studies and interviews helped us             develop a conceptual model, emphasizing cause and effect and             presented in section three, of how ITS deployment and             operation in the context of smart cities leads to energy             saving benefits. This conceptual model is presented with             detailed discussions of institutional, technological, and             physical conditions at each step in the model. Section four             focuses on energy savings with quantitative evidence of             energy saving potential of ITS investments collected from             literature and case studies. Section five links the results             of this study to the Wuhan Integrated Transport Development             Project and how the knowledge has been incorporated into             project design. To further explore the energy efficiency             potential of Wuhan and to mainstream ITS and smart transport             solutions as a source of achieving energy efficiency using             results of this study, a TRACE analysis was also completed             as part of this research effort. This analysis focused on             the passenger transport sector. Finally, policy             recommendations on the major conditions under which ITS             investments in the context of smart cities achieve energy             savings are summarized in Section 6 with specific             implications for cities in the developing countries.
 Document type: Book
 == Full document ==
-<pdf>Media:Draft_Content_530563549-beopen434-9351-document.pdf</pdf>
+<pdf>Media:Chen_et_al_2016c-beopen386-4054-document.pdf</pdf>
@@ Line 14: / Line 14: @@
 The different versions of the original document can be found in:
-* [http://dx.doi.org/10.1016/j.trd.2017.06.008 http://dx.doi.org/10.1016/j.trd.2017.06.008] under the license http://creativecommons.org/licenses/by/3.0/igo
+* [http://dx.doi.org/10.1016/j.trd.2017.06.008 http://dx.doi.org/10.1016/j.trd.2017.06.008] under the license https://creativecommons.org/licenses/by
-* [http://dx.doi.org/10.1596/24740 http://dx.doi.org/10.1596/24740]
+* [http://dx.doi.org/10.1596/24740 http://dx.doi.org/10.1596/24740] under the license http://creativecommons.org/licenses/by/3.0/igo
-* [http://hdl.handle.net/10986/27679 http://hdl.handle.net/10986/27679] under the license http://creativecommons.org/licenses/by-nc-nd/3.0/igo
+* [http://hdl.handle.net/10986/27679 http://hdl.handle.net/10986/27679]
-* [https://doi.org/10.1016/j.trd.2017.06.008 https://doi.org/10.1016/j.trd.2017.06.008] under the license cc-by
+* [https://doi.org/10.1016/j.trd.2017.06.008 https://doi.org/10.1016/j.trd.2017.06.008] under the license http://creativecommons.org/licenses/by-nc-nd/3.0/igo
 * [https://openknowledge.worldbank.org/bitstream/10986/24740/1/Achieving0ener0ext0of0smart0cities.pdf https://openknowledge.worldbank.org/bitstream/10986/24740/1/Achieving0ener0ext0of0smart0cities.pdf] under the license cc-by
 DOIS: 10.1016/j.trd.2017.06.008 10.1596/24740

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