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Frontiers of Earth Science

ISSN 2095-0195

ISSN 2095-0209(Online)

CN 11-5982/P

Postal Subscription Code 80-963

2018 Impact Factor: 1.205

Front. Earth Sci.    2020, Vol. 14 Issue (1) : 140-151    https://doi.org/10.1007/s11707-019-0762-z
RESEARCH ARTICLE
Evaluation of external costs in road transport under the openness of a gated community
Ming CAI1, Jing LI1, Zhanyong WANG1,2(), Haibo WANG3
1. Guangdong Provincial Key Laboratory of Intelligent Transportation System, School of Intelligent Systems Engineering, Sun Yat-Sen University, Guangzhou 518107, China
2. College of Transportation and Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou 350108, China
3. School of Civil and Transportation Engineering, Hebei University of Technology, Tianjin 300401, China
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Abstract

Residential quarters in Chinese cities are usually walled off from their surrounding roads for security purposes. Recently, the Chinese government has decided to thoroughly open gated residential communities in order to improve traffic capacity and coordinate major roads in the road network, which will inevitably pose challenges, such as environmental pollution, for community members. Unfortunately, before this decision, there were no comprehensive investigations into whether this measure works for road traffic or how much the adverse impact exerts upon residents. Here, we propose a comprehensive method combining microscopic traffic simulation with a vehicle exhaust emission and dispersion model and a noise emission and attenuation model, in addition to a consideration of social cost, to evaluate the possible influence of opening an enclosed residential community to surrounding roads. The validity of the hybrid model was assessed by an assumptive case of two rectangular gated communities under varying traffic flow and five community opening modes. Preliminary results indicate that the opened community outperforms the gated in the most of 49 percent reduction in comprehensive cost. A more detailed analysis reveals that the appropriate extent of openness should rely on the actual situation, and potentially serves as a foundation for the healthy development of communities and cities. Based on the case study results, this paper outlines some strategical suggestions for improving enclosed residential areas by striking a better balance between traffic capacity and environmental risks.

Keywords road traffic      social cost      externality      gated residential area     
Corresponding Author(s): Zhanyong WANG   
Online First Date: 02 January 2020    Issue Date: 24 March 2020
 Cite this article:   
Ming CAI,Jing LI,Zhanyong WANG, et al. Evaluation of external costs in road transport under the openness of a gated community[J]. Front. Earth Sci., 2020, 14(1): 140-151.
 URL:  
https://academic.hep.com.cn/fesci/EN/10.1007/s11707-019-0762-z
https://academic.hep.com.cn/fesci/EN/Y2020/V14/I1/140
Fig.1  A typical Chinese gated community.
Item Residential district Residential quarter Residential group
Number of households 1000–16,000 3000–5000 300–1000
Number of population 30,000–50,000 10,000–15,000 1000–3000
Tab.1  Chinese urban residential area planning and design standard GB 50180-93(2016 edition)
Fig.2  The possible path for vehicles before (a) and after (b) opening a gated community.
Fig.3  The gated community and its five opening ways. (a) Gated community; (b) M1: two-block; (c) M2: four-block; (d) M3: six-block; (f) M5: twelve-block; (g) M5: twelve-block.
Fig.4  Change trends of four kinds of social costs with different traffic flows.
Fig.5  Evolution of comprehensive external cost with traffic flows in a residential quarter.
Fig.6  The proportion of four kinds of costs in different community patterns.
Fig.7  Evolution of comprehensive cost with traffic flows in a residential district.
1 M F Abdullah, N A M Daniar, M M Osman, S Bachok (2017). Assessment of gated community and guarded neighborhood from public perspective. Adv Sci Lett, 23(7): 6057–6059
https://doi.org/10.1166/asl.2017.9204
2 D Acemoglu, A Makhdoumi, A Malekian, A Ozdaglar (2018). Informational Braess’ paradox: the effect of information on traffic congestion. Oper Res, 66(4): 893–917
https://doi.org/10.1287/opre.2017.1712
3 R Atkinson, J Flint (2004). Fortress UK? Gated communities, the spatial revolt of the elites and time–space trajectories of segregation. Housing Stud, 19(6): 875–892
https://doi.org/10.1080/0267303042000293982
4 R Atkinson, S Blandy (2005). Introduction: international perspectives on the new enclavism and the rise of gated communities. Housing Stud, 20(2): 177–186
https://doi.org/10.1080/0267303042000331718
5 M Barth (2010). The comprehensive modal emission model (CMEM) for predicting light-duty vehicle emissions. In Chatterjee A, ed. Transprotation Planning and Air Quality IV: Persistent Problems and Promising Solutions. ASCE, 126–137
6 D A Badoe, E J Miller (2000). Transportation–land-use interaction: empirical findings in North America, and their implications for modeling. Transp Res Part D Transp Environ, 5(4): 235–263
https://doi.org/10.1016/S1361-9209(99)00036-X
7 C R Bhat, J Y Guo (2007). A comprehensive analysis of built environment characteristics on household residential choice and auto ownership levels. Transp Res, Part B: Methodol, 41(5): 506–526
https://doi.org/10.1016/j.trb.2005.12.005
8 P Bickel, R Friedrich, A Burgess, P Fagiani, A Hunt, G, de Jong J Laird, C Lieb, G Lindberg, P Mackie (2006). Proposal for Harmonised Guidelines. Deliverable 5, Developing Harmonised European Approaches for Transport Costing and Project Assessment (HEATCO). Universität Stuttgart, Stuttgart, Germany
9 P Bickel, R Friedrich, B Droste-Franke, T M Bachmann, A Greßmann, A Rabl, A Hunt, A Markandya, S J T Richard, F Hurley, S Navrud, S Hirschberg, P Burgherr, T Heck, R Torfs, L D Nocker, S Vermoote, L L Int Panis, J Tidblad (2013). Extern Externalities of Energy Methodology 2005 Update, Luxembourg: European Commission
https://doi.org/10.13140/2.1.4038.7528
10 E J Blakely, M G Snyder (1997). Fortress America: Gated Communities in the United States. Brookings Institution Press
11 E J Blakely, M G Snyder (1998). Forting up: gated communities in the United States. J Archit Plann Res, 15(1): 61–72
12 M Cai, Z Lan, Z Zhang, H Wang (2019). Evaluation of road traffic noise exposure based on high-resolution population distribution and grid-level noise data. Build Environ, 147: 211–220
https://doi.org/10.1016/j.buildenv.2018.08.037
13 M Cai, Z H Zhou (2015). A review of evaluation of external costs in road transport. Acta Scientiarum Naturalium Universitatis Sunyatseni, 54(4): 1–7 (in Chinese)
14 R Chen (2014). Chinese gated community: degree of openness and the social impacts. Dissertation for Master’s Degree. Cambridge: Massachusetts Institute of Technology
15 F Deng (2017). Gated community and residential segregation in urban China. GeoJournal, 82(2): 231–246
https://doi.org/10.1007/s10708-015-9684-9
16 L Dong, A Rinoshika, Z Tang (2018). Dynamic evaluation on the traffic state of an urban gated community by opening the micro-inter-road network. Technologies (Basel), 6(3): 71, 1–11
https://doi.org/10.3390/technologies6030071
17 Economic Analysis Directorate of Transport Canada (2008). Estimates of the full cost of transportation in Canada
18 I El-Shawarby, K Ahn, H Rakha (2005). Comparative field evaluation of vehicle cruise speed and acceleration level impacts on hot stabilized emissions. Transp Res Part D Transp Environ, 10(1): 13–30
https://doi.org/10.1016/j.trd.2004.09.002
19 K M Gwilliam (1997). The Value of Time in economic Evaluation of Transport Projects: 5 Lessons from Recent Research. Washington DC, World Bank
20 Y Gao, Z Wang, C Liu, Z R Peng (2019). Assessing neighborhood air pollution exposure and its relationship with the urban form. Build Environ, 155: 15–24
https://doi.org/10.1016/j.buildenv.2018.12.044
21 Y Gao, Z Wang, Q C Lu, C Liu, Z R Peng, Y Yu (2017). Prediction of vertical PM2.5 concentrations alongside an elevated expressway using neural network hybrid model and generalized additive model. Front Earth Sci, 11(2): 347–360
https://doi.org/10.1007/s11707-016-0593-0
22 T Keeler, K A Small (1975). The full costs of urban transport, part III: automobile costs and final intermodal comparisons. Berkeley, CA: University of California at Berkeley, Institute of Urban and Regional Development
23 H Leisch (2002). Gated communities in Indonesia. Cities, 19(5): 341–350
https://doi.org/10.1016/S0264-2751(02)00042-2
24 D Levinson, D Gillen, A Kanafani, J Mathieu (1996). The full cost of intercity transportation-a comparison of high speed rail, air and highway transportation in California. Berkeley, CA: University of California at Berkeley, Institute of Transportation Studies
25 B Li, R Cao, Z Wang, R Song, Z R Peng, G Xiu, Q Fu (2019a). Use of multi-rotor unmanned aerial vehicles for fine-grained roadside air quality monitoring. Transp Res Rec, 2673(7): 169–180
https://doi.org/10.1177/0361198119847991
26 C Li, Z Wang, B Li, Z R Peng, Q Fu (2019b). Investigating the relationship between air pollution variation and urban form. Build Environ, 147: 559–568
https://doi.org/10.1016/j.buildenv.2018.06.038
27 F Li, Y Lin, M Cai, C Du (2017). Dynamic simulation and characteristics analysis of traffic noise at roundabout and signalized intersections. Appl Acoust, 121: 14–24
https://doi.org/10.1016/j.apacoust.2017.01.026
28 H N Li, C K Chau, M S Tse, S K Tang (2009). Valuing road noise for residents in Hong Kong. Transp Res Part D Transp Environ, 14(4): 264–271
https://doi.org/10.1016/j.trd.2009.02.001
29 X P Li (2014). Urban traffic congestion countermeasures-opening research of enclosed type district traffic. Dissertation for Master’s Degree. Changsha: Changsha University of Science& Technology, , China (in Chinese)
30 K Liao, R Wehrhahn, W Breitung (2018). Urban planners and the production of gated communities in China: a structure–agency approach. Urban Stud,
https://doi.org/10.1177/0042098018801138
31 H X Liu, W Ma, J X Ban, P Mirchandani (2005). Dynamic equilibrium assignment with microscopic traffic simulation. IEEE Intelligent Transportation Systems, Proceedings of the 8th International IEEE Conference on Intelligent Transportation Systems, 676–681 doi:10.1109/ITSC.2005.1520129
32 S M Low (2001). The edge and the center: gated communities and the discourse of urban fear. Am Anthropol, 103(1): 45–58
https://doi.org/10.1525/aa.2001.103.1.45
33 T Lv, L Lin, W Li (2012). Mechanism analysis of gated community on urban road network system. Forest Engineering, 25(1): 68–72 (in Chinese)
34 V Mak, D A Seale, E J Gisches, R Yang, M Cheng, M Moon, A Rapoport (2018). The Braess paradox and coordination failure in directed networks with mixed externalities. Prod Oper Manag, 27(4): 717–733
https://doi.org/10.1111/poms.12827
35 Ministry of Ecology and Environment of the People's Republic of China (2008). Environmental Quality Standard for Noise (GB3096–2008). Beijing: China Environmental Science Press
36 Ministry of Ecology and Environment of the People's Republic of China (2012). Ambient Air Quality Standards (GB3095–2012). Beijing: China Environmental Science Press
37 P Miao (2003). Deserted streets in a jammed town: The gated community in Chinese cities and its solution. J Urban Des, 8(1): 45–66
https://doi.org/10.1080/1357480032000064764
38 P Miao (2004). Cancer of urban life: problems of gated communities in China and their solutions. Time Architecture, 5: 46–49 (in Chinese)
39 H A Rakha, K Ahn, K Moran, B Saerens, E V Bulck (2011). Virginia tech comprehensive power-based fuel consumption model: model development and testing. Transp Res Part D Transp Environ, 16(7): 492–503
https://doi.org/10.1016/j.trd.2011.05.008
40 S Roitman (2010). Gated communities: definitions, causes and consequences. Proceedings of the Institution of Civil Engineers- Urban Design and Planning, 163(1): 31–38
https://doi.org/10.1680/udap.2010.163.1.31
41 T W Sanchez, R E Lang, D M Dhavale (2005). Security versus Status? A first look at the census’s gated community data. J Plann Educ Res, 24(3): 281–291
https://doi.org/10.1177/0739456X04270127
42 Z Shi (2017). Research on the residents’ willingness to open a closed residential community-taking Hohhot as an example. Inner Mongolia Science Technology & Economy, 16: 19–21 (in Chinese)
43 S Song (2014). China’s clean air challenge: The health impacts of transport emissions. World Resources Institute
44 S Song (2018). Assessment of transport emissions impact and the associated social cost for Chengdu, China. International Journal of Sustainable Transportation, 12(2): 128–139
45 H Y Tong, W T Hung, C S Cheung (2000). On-road motor vehicle emissions and fuel consumption in urban driving conditions. J Air Waste Manag Assoc, 50(4): 543–554
https://doi.org/10.1080/10473289.2000.10464041 pmid: 10786006
46 H Wang, H Gao, M Cai (2019). Simulation of traffic noise both indoors and outdoors based on an integrated geometric acoustics method. Build Environ, 160: 106201
https://doi.org/10.1016/j.buildenv.2019.106201
47 Y Wang, Z Peng, Q Chen (2018a). The choice of residential layout in urban China: a comparison of transportation and land use in Changsha (China) and Leeds (UK). Habitat Int, 75: 50–58
https://doi.org/10.1016/j.habitatint.2018.04.005
48 Y Wang, Z Peng, Q Chen (2018b). Simulated interactions of pedestrian crossings and motorized vehicles in residential areas. Physica A, 490: 1046–1060
https://doi.org/10.1016/j.physa.2017.08.138
49 Z Wang, S Zhong, H D He, Z R Peng, M Cai (2018c). Fine-scale variations in PM 2.5 and black carbon concentrations and corresponding influential factors at an urban road intersection. Build Environ, 141: 215–225
https://doi.org/10.1016/j.buildenv.2018.04.042
50 Z Wang, M Cai, Z R Peng, Y Gao (2017a). Spatiotemporal distributions of roadside PM2.5 and CO concentrations based on mobile observations. China Environ Sci, 37(12): 4428–4434 (in Chinese)
51 Z Wang, Q C Lu, H D He, D Wang, Y Gao, Z R Peng (2017b). Investigation of the spatiotemporal variation and influencing factors on fine particulate matter and carbon monoxide concentrations near a road intersection. Front Earth Sci, 11(1): 63–75
https://doi.org/10.1007/s11707-016-0564-5
52 Z Wang, H D He, F Lu, Q C Lu, Z R Peng (2015a). Hybrid model for prediction of carbon monoxide and fine particulate matter concentrations near road intersection. Transp Res Rec, 2503(1): 29–38
https://doi.org/10.3141/2503-04
53 D Wang, Z Wang, Z R Peng (2015b). Performance evaluation of CAL3QHC and CALINE4 for short-term simulation of fine particulate matter and carbon monoxide concentrations at road intersection, Transportation Research Board 94th Annual Meeting, Washington, DC, United States
54 Z Wang, F Lu, H D He, Q C Lu, D Wang, Z R Peng (2015c). Fine-scale estimation of carbon monoxide and fine particulate matter concentrations in proximity to a road intersection by using wavelet neural network with genetic algorithm. Atmos Environ, 104: 264–272
https://doi.org/10.1016/j.atmosenv.2014.12.058
55 C Webster, G Glasze, K Frantz (2002). The global spread of gated communities. Environ Plann B Plann Des, 29(3): 315–320
https://doi.org/10.1068/b12926
56 Y Wu, L Zhang, J Zhu (2016). A study of open road in gated residential community based on random forests. Journal of Chizhou College, 30(6): 154–157 (in Chinese)
57 L Yan, F Wang (2017). Beijing’s population, transportation and land use strategies: compared with the Tokyo metropolitan area. Econ Geogr, 37(4): 5–14
58 Q Yao, W Wei (2012). Gated community: the past and present in China. World Acad Sci Eng Technol, 6(11): 691–693
59 Y Yao, Y Hong, D Wu, Y Zhang, Q Guan (2018). Estimating the effects of “community opening” policy on alleviating traffic congestion in large Chinese cities by integrating ant colony optimization and complex network analyses. Comput Environ Urban Syst, 70: 163–174
https://doi.org/10.1016/j.compenvurbsys.2018.03.005
60 Y Zhang (2001). Road Traffic Environmental Engineering. Beijing: China Communications Press, 33–44
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