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A system dynamics-based decision-making tool and strategy optimization simulation of green building development in China

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Abstract

Green building has emerged as a new type of building to mitigate the conflict between the rapid expansion of buildings and the deteriorating ecological environment, thus promoting ecologically sustainable development of building projects. However, the development of green building suffers from issues such as high initial costs and complicated process. In this study, a system dynamics (SD) approach has been used to investigate green building development (GBD) in China. The validity of the GBD-SD model has been verified and further applied to simulate GBD in the city of Wuhan. Three problems in current GBD system of Wuhan have been identified based on analysis of simulated results: (1) slow-paced GBD; (2) imbalanced green building supply and demand; and (3) low overall green level. Furthermore, three strategies have been proposed accordingly to solve those three problems. This study provides a GBD-SD model to comprehensively understand the dynamic relationships between participants in a GBD system and may shed light on sustainable development of green buildings for policy-makers.

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Acknowledgements

This research is supported by grants from the National Natural Science Foundation of China (Grant No. 71701077).

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Corresponding author

Correspondence to Jiaying Teng.

Appendices

Appendix 1: model factors (variables) description

The structure of GBD-SD model is shown in Fig. 3. It can be used to quantitatively describe the complex dynamic relationships between the major factors (variables) in a GBD system. Description of model factors is detailed as follows:

Abbreviation

Factors name

Units

MLGT

Maturity level of green technology

Dmnl

AMLIGT

Annual maturity level increment of green technology

Dmnl

ITAGB-AMLIGT-LU

The impact of total area of green buildings in this region on annual maturity level increment of green technology LOOKUP

Dmnl

TAGB

Total area of green buildings in this region

Million sqm

PIIPUAGB

Proportion of incremental investment in per unit area of green building

Dmnl

IMLGT-PIIPUAGB-LU

The impact of maturity level of green technology on proportion of incremental investment in per unit area of green building LOOKUP

Dmnl

AIDWGBD

Annual increment of developers’ willingness for green building development

Dmnl

DWGBD

Developers’ willingness for green building development

Dmnl

IDGB-AIDWGBD-LU

The impact of demands for green building on annual increment of developers’ willingness for green building development LOOKUP

Dmnl

IPIIPUAGB-AIDWGBD-LU

The impact of proportion of incremental investment in per unit area of green building on annual increment of developers’ willingness for green building development LOOKUP

Dmnl

IGIPGBI

Intensity of governmental incentive policies on green building investment

Dmnl

IIGIPGBI-AIDWGBD-LU

The impact of intensity of governmental incentive policies on green building investment on annual increment of developers’ willingness for green building development LOOKUP

Dmnl

IVRGB-AIDWGBD-LU

The impact of vacancy rate of green building on annual increment of developers’ willingness for green building development LOOKUP

Dmnl

ICIGBD-AIDWGBD-LU

The impact of credibility increment of green building developers on annual increment of developers’ willingness for green building development LOOKUP

Dmnl

VRGB

Vacancy rate of green building

Dmnl

CIGBD

Credibility increment of green building developers

Dmnl

IMLRGBDP-AIDWGBD-LU

The impact of mandatory level of regional green building development policies on annual increment of developers’ willingness for green building development LOOKUP

Dmnl

MLRGBDP

Mandatory level of regional green building development policies

Dmnl

GTA

Green technology appropriateness

Dmnl

GL

Green level

Dmnl

DGB

Demands for green building

Million sqm

CDGB

Consumers’ desires for green buildings

Dmnl

AICD

Annual increment of consumers’ desires

Dmnl

PROCPUAGB

Proportion of reduced operation cost for per unit area of green building

Dmnl

GIL

Green implementation level

Dmnl

IPROCPUAGB-AICD-LU

The impact of proportion of reduced operation cost for per unit area of green building on annual increment of consumers’ desires LOOKUP

Dmnl

RPCG

Regional per capita GDP

Billion yuan

IRPCG-AICD-LU

The impact of regional per capita GDP on annual increment of consumers’ desires LOOKUP

Dmnl

ICCLTGB-AICD-LU

The impact of consumers’ cognition level toward green building on annual increment of consumers’ desires LOOKUP

Dmnl

RLQ

Resident life quality

Dmnl

PPGB

Public praises for green building (comfort level)

Dmnl

CCLTGB

Consumers’ cognition level toward green building

Dmnl

PLGB

Propaganda level of green building

Dmnl

EAPC

Expected area per capita

Sqm/person

AIPCA

Annual increment of per capita area

Sqm/person.year

TRBD

Total regional building demands

Million sqm

RPS

Regional population sizes

Million person

AIRPCA

Annual increase rate of per capita area

Sqm/person

AINBAGB

Annual increment of the newly built-up area of green buildings

Million sqm/year

INGB-LU

Increment of new green building LOOKUP

Million sqm

DLGBDS

Development level of the GBD system

Dmnl

ITAGB-DLGBDS-LU

The impact of total area of green buildings in this region on development level of the GBD system LOOKUP

Dmnl

Appendix 2: Mathematical equations containing initial values and units of the GBD-SD model

$${\text{EAPC}} = {\text{INTEG}}\left( {{\text{AIPCA}},32} \right),\;{\text{Units: Sqm/person}}$$
(1)
$${\text{AIPCA}} = {\text{EAPC}}*{\text{AIRPCA,}}\;{\text{Units: Sqm/person}} \cdot {\text{year}}$$
(2)
$${\text{AIRPCA}} = 0.01,\;{\text{Units: Sqm/person}}$$
(3)
$${\text{RPS}} = {\text{INTEG}}\left( {{\text{Natural}}\;{\text{annual}}\;{\text{increment}}\;{\text{of}}\;{\text{population}} + {\text{Annual}}\;{\text{net}}\;{\text{migration}}\;{\text{of}}\;{\text{population,}}833.24} \right),\;{\text{Units: Million person}}$$
(4)
$${\text{RPCG}} = {\text{RegionalGDP /RPS,}}\;{\text{Units: Billion yuan}}$$
(5)
$${\text{IMLRGBDP-AIDWGBD-LU}} = \left( {\left[ {\left( {0,0} \right) - \left( {1,0.08} \right)} \right],\left( {1.8e - 005,0.01} \right),\left( {0.1,0.03} \right),\left( {0.5,0.08} \right),\left( {1,0.08} \right)} \right),\;{\text{Units: Dmnl}}$$
(6)
$${\text{TAGB}} = {\text{INTEG}}\left( {{\text{AINBAGB,}}28.8} \right),{\text{Units: Million sqm}}$$
(7)
$${\text{ITAGB-AMLIGT-LU}} = \left( {\left[ {\left( {28,0} \right)\left( {80000,0.05} \right)} \right],\left( {28,0.001} \right),\left( {360,0.0015} \right),\left( {20000,0.02} \right),\left( {39500,0.025} \right),\left( {50000,0.028} \right),\left( {74000,0.045} \right),\left( {80000,0.006} \right)} \right),\;{\text{Units: Dmnl}}$$
(8)
$${\text{ITAGB-DLGBDS-LU}} = \left( {\left[ {\left( {28,0} \right) - \left( {80000,0.7} \right)} \right],\left( {28,0.2} \right),\left( {8744,0.5} \right),\left( {80000,0.7} \right)} \right),\;{\text{Units: Dmnl}}$$
(9)
$${\text{INGB-LU}} = \left( {\left[ {\left( {2008,0} \right)\left( {2050,5000} \right)} \right],\left( {2008,0} \right),\left( {2009,32} \right),\left( {2010,109} \right),\left( {2011,180} \right),\left( {2012,210} \right),\left( {2013,339} \right),\left( {2030,4639} \right), \, \left( {2050,350} \right)} \right),\;{\text{Units: Million sqm}}$$
(10)
$${\text{PLGB}} = 0.04,\;{\text{Units: Dmnl}}$$
(11)
$${\text{TRBD}} = {\text{EAPC*RPS,}}\;{\text{Units: Million sqm}}$$
(12)
$${\text{AMLIGT}} = {\text{ITAGB-AMLIGT-LU}}\left( {\text{TAGB}} \right) ,\;{\text{Units: Dmnl}}$$
(13)
$${\text{IGIPGBI}} = 0. 1 ,\;{\text{Units: Dmnl}}$$
(14)
$${\text{IIGIPGBI-AIDWGBD-LU}} = \left( {\left[ {\left( {0.1,0} \right)-\left( {1,0.08} \right)} \right],\left( {0.1,0.02} \right),\left( {0.6,0.07} \right),\left( {1,0.07} \right)} \right),\;{\text{Units: Dmnl}}$$
(15)
$${\text{AINBAGB}} = {\text{INGB-LU}}\left( {\text{Time}} \right) + {\text{DELAY}}1(10*{\text{DWGBD,0}} . 6 ) ,\;{\text{Units: Million sqm/year}}$$
(16)
$${\text{AICD}} = {\text{IRPCG-AICD-LU}}\left( {\text{RPCG}} \right) * {\text{ICCLTGB-AICD-LU}}\left( {\text{CCLTGB}} \right) * {\text{IPROCPUAGB-AICD-LU}}\left( {\text{PROCPUAGB}} \right) ,\;{\text{Units: Dmnl}}$$
(17)
$${\text{CCLTGB}} = 2. 3 9 7 * {\text{PLGB}} + 2. 7 4 3 * {\text{PPGB}} + 9. 2 5 {\text{e}}-0 0 6 * {\text{TAGB,}}\;{\text{Units: Dmnl}}$$
(18)
$${\text{CDGB}} = {\text{INTEG}}\left( {{\text{AICD,0}} . 1} \right) ,\;{\text{Units: Dmnl}}$$
(19)
$${\text{ICCLTGB-AICD-LU}} = \left( {\left[ {\left( { 0. 1 , 0} \right)\left( { 1 , 0. 1} \right)} \right] ,\left( { 0. 1 , 0. 0 3} \right) ,\left( { 0. 1 3 , 0. 0 2} \right) ,\left( { 0. 4 8 , 0. 0 4} \right) ,\left( { 0. 7 , 0. 0 9} \right) ,\left( { 0. 8 4 , 0. 0 9} \right) ,\left( { 0. 8 4 , 0. 0 9} \right) ,\left( { 1 , 0. 0 9} \right)} \right) ,\;{\text{Units: Dmnl}}$$
(20)
$${\text{GIL}} = 0. 1 ,\;{\text{Units: Dmnl}}$$
(21)
$${\text{GL}} = 0. 5 7 6 * {\text{GIL}} + 0. 2 6 3 * {\text{GTA,}}\;{\text{Units: Dmnl}}$$
(22)
$${\text{PIIPUAGB}} = {\text{IMLGT-PIIPUAGB-LU}}\left( {\text{MLGT}} \right) ,\;{\text{Units: Dmnl}}$$
(23)
$${\text{IPIIPUAGB-AIDWGBD-LU}} = \left( {\left[ {\left( {0,0} \right)\left( {0.09,0.08} \right)} \right],\left( {0.002,0.07} \right),\left( {0.005,0.07} \right),\left( {0.009,0.07} \right),\left( {0.01,0.07} \right),\left( {0.07,0.05} \right),\left( {0.09,0.01} \right)} \right),\;{\text{Units: Dmnl}}$$
(24)
$${\text{PROCPUAGB}} = 0. 5 * {\text{GL,}}\;{\text{Units: Dmnl}}$$
(25)
$${\text{IPROCPUAGB-AICD-LU}} = \left( {\left[ {\left( {0.03,0} \right)-\left( {0.14,1} \right)} \right],\left( {0.03,0.2} \right),\left( {0.04,0.35} \right),\left( {0.06,0.95} \right),\left( {0.09,0.96} \right),\left( {0.14,0.96} \right)} \right),\;{\text{Units: Dmnl}}$$
(26)
$${\text{PPGB}} = 0. 0 1 * {\text{RLQ,}}\;{\text{Units: Dmnl}}$$
(27)
$${\text{CIGBD}} = 0.9*GL,\;{\text{Units: Dmnl}}$$
(28)
$${\text{ICIGBD-AIDWGBD-LU}} = \left( {\left[ {\left( {0,0} \right)-\left( {0.22,0.06} \right)} \right],\left( {0,0} \right),\left( {0.1,0.04} \right),\left( {0.12,0.05} \right),\left( {0.17,0.06} \right),\left( {0.22,0.06} \right)} \right),\;{\text{Units: Dmnl}}$$
(29)
$${\text{DLGBDS}} = {\text{ITAGB-DLGBDS-LU}}\left( {\text{TAGB}} \right),\;{\text{Units: Dmnl}}$$
(30)
$${\text{DWGBD}} = {\text{INTEG}}\left( {{\text{AIDWGBD,0}} . 1} \right) ,\;{\text{Units: Dmnl}}$$
(31)
$${\text{AIDWGBD}} = {\text{IMLRGBDP-AIDWGBD-LU(MLRGBDP)}}*{\text{IIGIPGBI-AIDWGBD-LU(IGIPGBI)*IPIIPUAGB-AIDWGBD-LU(PIIPUAGB)*IVRGB-AIDWGBD-LU(VRGB)*IDGB-AIDWGBD-LU(DGB)*ICIGBD-AIDWGBD-LU(CIGBD)}}* 1 0^{ 6} ,\;{\text{Units: Dmnl}}$$
(32)
$${\text{VRGB}} = 0. 1 ,\;{\text{Units: Dmnl}}$$
(33)
$${\text{IVRGB-AIDWGBD-LU}} = \left( {\left[ {\left( {0, - 0.04} \right) - \left( {1,0.04} \right)} \right],\left( {0,0.02} \right),\left( {0.2,0.04} \right),\left( {0.4, - 0.02} \right),\left( {0.8, - 0.04} \right),\left( {1, - 0.04} \right)} \right),\;{\text{Units: Dmnl}}$$
(34)
$${\text{DGB}} = {\text{TRBD}}*{\text{CDGB,}}\;{\text{Units: Million sqm}}$$
(35)
$${\text{IDGB-AIDWGBD-LU}} = \left( {\left[ {\left( {2666,0} \right) - \left( {8e + 007,1} \right)} \right],\left( {2666,0.1} \right),\left( {2.4e + 006,1} \right),\left( {8e + 007,0.7} \right)} \right),\;{\text{Units: Dmnl}}$$
(36)
$${\text{MLGT}} = {\text{INTEG}}\left( {{\text{AMLIGT}},0.1} \right),\;{\text{Units: Dmnl}}$$
(37)
$${\text{IMLGT-PIIPUAGB-LU}} = \left( {\left[ {\left( {0.1,0} \right) - \left( {1,0.1} \right)} \right],\left( {0.1,0.09} \right),\left( {0.3,0.02} \right),\left( {1,0} \right)} \right),\;{\text{Units: Dmnl}}$$
(38)
$${\text{GTA}} = 0. 8*{\text{MLGT,}}\;{\text{Units: Dmnl}}$$
(39)

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Teng, J., Xu, C., Wang, W. et al. A system dynamics-based decision-making tool and strategy optimization simulation of green building development in China. Clean Techn Environ Policy 20, 1259–1270 (2018). https://doi.org/10.1007/s10098-018-1550-2

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