@article{LI_LO_GUO_2018, title={What Influences the Choice Between Private Car and Public Transport for Shopping Trips? Impact of Socio-economic and Built Environment Factors}, volume={2}, url={https://ejournals.lib.hkbu.edu.hk/index.php/jaes/article/view/28-42}, DOI={10.24112/jaes.020103}, abstractNote={<p><span style="color: #000000; font-family: Arial, Verdana, Helvetica, sans-serif; font-size: 12px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; background-color: #ffffff; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial; display: inline !important; float: none;">Shifting toward sustainable daily travel will play a significant role in the future of sustainable development and the lowering of carbon emissions. This study provides an in-depth comparison of transport mode choice and corresponding CO</span><sub style="color: #000000; font-family: Arial, Verdana, Helvetica, sans-serif; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; background-color: #ffffff; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;">2</sub><span style="color: #000000; font-family: Arial, Verdana, Helvetica, sans-serif; font-size: 12px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; background-color: #ffffff; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial; display: inline !important; float: none;"> emissions between private cars and public transport used for shopping trips based on individual data from a travel survey conducted in Shenyang, China. The analysis found that bus travel accounted for the majority of motorized transportation. Public transport users were closely distributed along the bus or metro lines, and aggregated private car users were mainly clustered within the second circumferential road. Furthermore, average per trip emissions for private car travel were 8-fold that of public transport. Binary logistic regression modeling was employed to examine factors that were related to the choice between private car and public transport, and the results indicated that car ownership and gender were the most important factors in explaining the preference of car driving. Age and per capita monthly income were negatively correlated with car driving. In addition, there were also negative impacts associated to the built environment factors of access to the closest metro stations and the number of bus stops near the residence on car driving. This study is vital to formulate more effective transportation policy measures in the future development for a sustainable low-carbon city.</span></p> <p><span style="color: #000000; font-family: Arial, Verdana, Helvetica, sans-serif; font-size: 12px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; background-color: #ffffff; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial; display: inline !important; float: none;"><strong>DOWNLOAD HISTORY</strong> | This article has been downloaded 775 times in Digital Commons before migrating into this platform.</span></p>}, number={1}, journal={Journal of Asian Energy Studies}, author={LI, Jing and LO, Kevin and GUO, Meng}, year={2018}, month={May} }