کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7498730 1485861 2018 20 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Low-carbon futures for Shenzhen's urban passenger transport: A human-based approach
ترجمه فارسی عنوان
آیندهای کم کربن برای حمل و نقل مسافر شهری شنزن: رویکرد مبتنی بر انسانی
کلمات کلیدی
رفتار مسافرتی، مدل عامل مبتنی بر انسانی، انتشار کربن، مصرف انرژی، سیاست حمل و نقل شهری، سیاست زیست محیطی،
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم محیط زیست علوم زیست محیطی (عمومی)
چکیده انگلیسی
Shenzhen, one of China's leading cities, has the potential to be a model for achieving China's ambitious CO2 emission reduction targets. Using data from a travel diary survey in Shenzhen in 2014, we develop a human-based agent model to conduct a scenario study of future urban passenger transport energy consumption and CO2 emissions from 2014 to 2050. Responses to different policy interventions at the individual level are taken into account. We find that with current policies, the carbon emissions of the urban passenger transport sector in Shenzhen will continuously increase without a peak before 2050. Strengthening 21 transport policies will help Shenzhen to peak the carbon emissions by 2030 for passenger transport. Among these policies, the car quota policy and the fuel economy standard are essential for achieving a carbon peak by 2030. In addition, a package of seven policies, including fewer car quotas, a stricter fuel economy standard, raising parking fees, limiting parking supply, increasing EV charging facilities and subway lines, and improving public transport services, is sufficient to peak carbon emissions by 2030, although at an emissions level higher than for the 21 policies.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Transportation Research Part D: Transport and Environment - Volume 62, July 2018, Pages 236-255
نویسندگان
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