Scipediacontent: Scipediacontent moved page Draft Content 963445361 to Li et al 2018k

2021-02-15T09:34:06Z

Scipediacontent moved page Draft Content 963445361 to Li et al 2018k

Scipediacontent: Created page with " == Abstract == This study aims to explore factors that affect carsharing demand characteristics in different time periods based on EVCARD transaction data, which is the larg..."

2021-02-15T09:34:00Z

Created page with " == Abstract == This study aims to explore factors that affect carsharing demand characteristics in different time periods based on EVCARD transaction data, which is the larg..."

New page

== Abstract ==

This study aims to explore factors that affect carsharing demand characteristics in different time periods based on EVCARD transaction data, which is the largest station-based one-way carsharing program in Shanghai, China. Monthly usage intensity and degree of usage imbalance are used as proxies of demand. This study uses three groups of independent variables: carsharing station attributes, built environment (density, diversity, design, and destination accessibility), and transportation facilities. The adaptive elastic net regression is developed to identify factors that influence carsharing usage intensity and degree of usage imbalance after factor selection using extra-randomized-tree algorithm. Finally, a station layout is proposed according to both usage intensity and degree of imbalance. The main results of this study are presented as follows: <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M1"><mml:mo stretchy="false">(</mml:mo><mml:mn fontstyle="italic">1</mml:mn><mml:mo stretchy="false">)</mml:mo></mml:math> different effects of built environment and transportation factors cause dynamic demand across different time periods; <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M2"><mml:mo stretchy="false">(</mml:mo><mml:mn fontstyle="italic">2</mml:mn><mml:mo stretchy="false">)</mml:mo></mml:math> factors with positive and negative effect on carsharing demand are divided clearly for guidance of the carsharing station layout; <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M3"><mml:mo stretchy="false">(</mml:mo><mml:mn fontstyle="italic">3</mml:mn><mml:mo stretchy="false">)</mml:mo></mml:math> public parking space leads to more personal vehicle trip compared to a carsharing trip; and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M4"><mml:mo stretchy="false">(</mml:mo><mml:mn fontstyle="italic">4</mml:mn><mml:mo stretchy="false">)</mml:mo></mml:math> as public transportation, the relationship of the metro and carsharing is complementary. However, the bus stop and carsharing have a competitive relationship. This study provides a carsharing layout method based on both usage intensity and degree of imbalance. Furthermore, several policies concerning carsharing are proposed.

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_963445361-beopen755-1626-document.pdf</pdf>

== Original document ==

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

* [http://downloads.hindawi.com/journals/jat/2018/5493632.pdf http://downloads.hindawi.com/journals/jat/2018/5493632.pdf] under the license https://creativecommons.org/licenses/by

* [http://dx.doi.org/10.1155/2018/5493632 http://dx.doi.org/10.1155/2018/5493632] under the license cc-by

* [http://downloads.hindawi.com/journals/jat/2018/5493632.pdf http://downloads.hindawi.com/journals/jat/2018/5493632.pdf],
: [http://downloads.hindawi.com/journals/jat/2018/5493632.xml http://downloads.hindawi.com/journals/jat/2018/5493632.xml],
: [http://dx.doi.org/10.1155/2018/5493632 http://dx.doi.org/10.1155/2018/5493632] under the license http://creativecommons.org/licenses/by/4.0

* [http://dx.doi.org/10.1155/2018/5493632 http://dx.doi.org/10.1155/2018/5493632],
: [https://doaj.org/toc/0197-6729 https://doaj.org/toc/0197-6729],
: [https://doaj.org/toc/2042-3195 https://doaj.org/toc/2042-3195] under the license http://creativecommons.org/licenses/by/4.0/

* [https://www.hindawi.com/journals/jat/2018/5493632 https://www.hindawi.com/journals/jat/2018/5493632],
: [http://downloads.hindawi.com/journals/jat/2018/5493632.pdf http://downloads.hindawi.com/journals/jat/2018/5493632.pdf],
: [https://trid.trb.org/view/1514067 https://trid.trb.org/view/1514067],
: [https://academic.microsoft.com/#/detail/2804345352 https://academic.microsoft.com/#/detail/2804345352]

← Older revision	Revision as of 09:34, 15 February 2021
(No difference)

Li et al 2018k - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 963445361 to Li et al 2018k

Scipediacontent: Created page with " == Abstract == This study aims to explore factors that affect carsharing demand characteristics in different time periods based on EVCARD transaction data, which is the larg..."