Journal of Resources and Ecology ›› 2021, Vol. 12 ›› Issue (3): 346-357.DOI: 10.5814/j.issn.1674-764x.2021.03.004
• Human Activities and Ecological Security • Previous Articles Next Articles
XIAO Huabin, HE Xinyu, KUANG Yuanlin, WU Binglu*()
Received:
2020-10-11
Accepted:
2021-02-28
Online:
2021-05-30
Published:
2021-07-30
Contact:
WU Binglu
About author:
XIAO Huabin, E-mail: xiaohuabin@foxmail.com
Supported by:
XIAO Huabin, HE Xinyu, KUANG Yuanlin, WU Binglu. Carbon Emission Evaluation in Jinan Western New District based on Multi-source Data Fusion[J]. Journal of Resources and Ecology, 2021, 12(3): 346-357.
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The name of areas | Acreage (km²) | General characteristics |
---|---|---|
West Railway Station Area | 40.81 | Construction began in 2009. The core growth pole of Jinan Western New District has both external transportation, residential, and business functions. The planning goal is to create a new Qilu portal, a new commercial port in Quancheng, a new city center and a new cultural highland |
Changqing Old Town Area | 97.19 | Formerly defined as Changqing County, removed in 2001 to set up a district. The road network density in the central area is high, and the buildings are mainly low-rise. It is the most representative old city in the study area |
University Science and Technology Park Area | 36.33 | Constructed in 2003, in total 12 universities were located in this area until 2017. Based on the “four in one” concept of education, innovation, entrepreneurship, and industry, the plan is to build a first-class domestic and internationally influential ecologically dynamic university city |
Dangjia Town Area | 71.97 | An important industrial cluster in Jinan, above the east-west development axis of one city and two districts proposed in the master plan of Jinan. It is the ecological isolation zone between the main city and the new western city. The southeast has many exposed mountains and the ecological environment is sensitive |
Gushan Town Area | 68.67 | The terrain is dominated by hills, and due to the terrain, the distribution of construction land is scattered. The Jinyun Lake reservoir is located in the middle, and the ecological environment is good. In the latest Jinan City Regulatory Planning Division, it is designated as a university town area together with the University Science and Technology Park Area |
Duandian Town Area | 39.37 | The belt-shaped development along Jingxi Road has developed medical industry, industry and logistics. The current buildings are mainly low-rise and multi-story buildings, and there are many rivers in the area. It is an important water source protection area |
Pingandian Town Area | 83.66 | The belt-shaped development along Jingxi west Road has been affected by the establishment of Jinan Economic Development Zone. In recent years, industrial development has been rapid. The current buildings are mainly low-rise and block-story buildings. The Jixi Wetland is the ecological core of Jinan Western New District, with superior ecological conditions |
Table 1 Overview of the sub-research areas in the Jinan Western New District
The name of areas | Acreage (km²) | General characteristics |
---|---|---|
West Railway Station Area | 40.81 | Construction began in 2009. The core growth pole of Jinan Western New District has both external transportation, residential, and business functions. The planning goal is to create a new Qilu portal, a new commercial port in Quancheng, a new city center and a new cultural highland |
Changqing Old Town Area | 97.19 | Formerly defined as Changqing County, removed in 2001 to set up a district. The road network density in the central area is high, and the buildings are mainly low-rise. It is the most representative old city in the study area |
University Science and Technology Park Area | 36.33 | Constructed in 2003, in total 12 universities were located in this area until 2017. Based on the “four in one” concept of education, innovation, entrepreneurship, and industry, the plan is to build a first-class domestic and internationally influential ecologically dynamic university city |
Dangjia Town Area | 71.97 | An important industrial cluster in Jinan, above the east-west development axis of one city and two districts proposed in the master plan of Jinan. It is the ecological isolation zone between the main city and the new western city. The southeast has many exposed mountains and the ecological environment is sensitive |
Gushan Town Area | 68.67 | The terrain is dominated by hills, and due to the terrain, the distribution of construction land is scattered. The Jinyun Lake reservoir is located in the middle, and the ecological environment is good. In the latest Jinan City Regulatory Planning Division, it is designated as a university town area together with the University Science and Technology Park Area |
Duandian Town Area | 39.37 | The belt-shaped development along Jingxi Road has developed medical industry, industry and logistics. The current buildings are mainly low-rise and multi-story buildings, and there are many rivers in the area. It is an important water source protection area |
Pingandian Town Area | 83.66 | The belt-shaped development along Jingxi west Road has been affected by the establishment of Jinan Economic Development Zone. In recent years, industrial development has been rapid. The current buildings are mainly low-rise and block-story buildings. The Jixi Wetland is the ecological core of Jinan Western New District, with superior ecological conditions |
1 |
Buczkowska S, Coulombel N, de Lapparent M . 2019. A comparison of euclidean distance, travel times, and network distances in location choice mixture models. Networks and Spatial Economics, 19(4): 1215-1248.
DOI URL |
2 | Cao X S, Yang W Y, Huang X Y . 2015. Aaccessibility and CO2 emissions from travel of smart transportation: Theory and empirical studies. Progress in Geography, 34(4):418-429. (in Chinese) |
3 | Croitoru A, Stefanidis A, Radzikowski J , et al. 2012. Towards a collaborative geosocial analysis workbench. Washington DC, USA: ACM Press. |
4 | Du D, Zhuang G Y, Xie H S . 2015. Study on the evaluation of low carbon cities from “promoting construction by evaluation” to “the combination of evaluation and construction”. Urban Development Studies, 22(11):7-11. (in Chinese) |
5 |
Guo H X, Yang C M, Liu X , et al. 2018. Simulation evaluation of urban low-carbon competitiveness of cities within Wuhan City circle in China. Sustainable Cities and Society, 42:688-701.
DOI URL |
6 | Hao X H, Long Y, Shi M , et al. 2016. Street vibrancy of Beijing: Measurement, impact factors and design implication. Shanghai Urban Planning Review, (3):37-45. (in Chinese) |
7 |
Huang Y S, Shen L, Liu H . 2019. Grey relational analysis, principal component analysis and forecasting of carbon emissions based on long short-term memory in China. Journal of Cleaner Production, 209:415-423.
DOI URL |
8 |
Hukkalainen Née Sepponen M, Virtanen M, Paiho S , et al. 2017. Energy planning of low carbon urban areas —Examples from Finland. Sustainable Cities and Society, 35:715-728.
DOI URL |
9 | Li Y Y, Xian Y N, Yin C X . 2017. Research on evaluation model of low carbon development: A case study of four municipalities in China. Ecological Economy, 33(12):46-51. (in Chinese) |
10 |
Li Z Q, Zheng J, Zhang Y K . 2019. Study on the layout of 15-minute community-life circle in third-tier cities based on POI: Baoding City of Hebei Province. Engineering, 11(9):592-603.
DOI URL |
11 |
Long Y, Liu L L . 2017. Four transformations of Chinese quantitative urban research in the new data environment. Urban Planning International, 32(1):64-73. (in Chinese)
DOI URL |
12 | Ouyang L Q, Huang D . 2018. An activity-based model for the estimation of origin-destination matrix on road networks. Technical Gazette, 25(5):1530-1537. |
13 | Qiu B X . 2009. The transformation trends of urban development model in China—Low carbon eco-city. Urban Development Studies, ( 8):1-6. (in Chinese) |
14 |
Ramli M I, Runtulalo D, Yatmar H , et al. 2020. An estimation of origin-destination matrices for a public transport network in Makassar using macrosimulation visum. IOP Conference Series: Materials Science and Engineering, 875:012027. DOI: 10.1088/1757-899X/875/1/012027.
DOI URL |
15 | Shen Q J, An C, Liu C S . 2010. A discussion on the connotation, characteristics, and basic principles of of the low carbon eco-city planning/construction. Urban Planning Forum, ( 5):48-57. (in Chinese) |
16 |
Shi R, Wang X, Gao J T , et al. 2018. Evaluation of low-carbon economy development level in Harbin. IOP Conference Series: Materials Science and Engineering, 394:052080. DOI: 10.1088/1757-899X/394/5/052080.
DOI URL |
17 |
Wang Y J, Lan Q X, Jiang F , et al. 2020. Construction of China’s low-carbon competitiveness evaluation system: A study based on provincial cross-section data. International Journal of Climate Change Strategies and Management, 12(1):74-91.
DOI URL |
18 | Wu J G. 2000. Landscape ecology pattern, process, scale and hierarchy. Beijing, China: Higher Education Press. (in Chinese) |
19 | Wu J S, Xu N, Zhang X W . 2016. Evaluation of low-carbon city and spatial pattern analysis in China. Progress in Geography, 35(2):204-213. (in Chinese) |
20 | Xi G L, Zhen F . 2015. Processes or results?—The exploration of the urban plan innovation supported by big data. Modern Urban Research, 30(1):19-23. (in Chinese) |
21 | Xiao H B, Sheng S, An Q , et al. 2019. Research on the identification of urban green infrastructure supply-demand spatial differentiation and optimization strategies: A case study on Jinan West New District. Chinese Landscape Architecture, ( 11):65-69. (in Chinese) |
22 | Xiao H B, Sheng S, Liu J . 2015. The review and prospect on the research of spatial planning of low carbon eco-city. Urban Development Studies, 22(12):8-12. (in Chinese) |
23 |
Xiao H B, Sheng S, Ren Z , et al. 2020. Does the culture service supply of green spaces match the demand of residents in a new district? A perspective from China. Polish Journal of Environmental Studies, 29(5):3395-3407.
DOI URL |
24 | Xin Z P, Zhang Y T . 2008. Low carbon economy and low carbon city. Urban Development Studies, 15(4):98-102. (in Chinese) |
25 | Yang W Y, Li T, Cao X S . 2015. The spatial pattern of Community Travel Low Carbon Index (CTLCI) and spatial heterogeneity of the relationship between CTLCI and influencing factors in Guangzhou. Geographical Research, 34(8):1471-1480. (in Chinese) |
26 | Ye Y, Wei Z C, Wang H J . 2014. Urban planning response for big data development. Planners, 30(8):5-11. (in Chinese) |
27 |
Yu W, Wang T, Xiao Y J , et al. 2020. A carbon emission measurement method for individual travel based on transportation big data: The case of Nanjing Metro. International Journal of Environmental Research and Public Health, 17(16):5957. DOI: 10.3390/ijerph17165957.
DOI URL |
28 | Zhang Q, Ye X P, Chen G W . 2010. Low-carbon urban planning: A new vision. City Planning Review, 34(2):13-18, 41. (in Chinese) |
29 | Zhu J, Niu X Y . 2020. Jobs-housing balance, land use mix and relationships with commuting distance: A study of Nanning City based on cellphone signaling data. Modern Urban Research,( 2): 98- 105, 116. (in Chinese) |
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