Review and Enlightenment of Intensive Land Use in Built-Up Area Based on Low-Carbon Travel

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Authors

  • School of Highway, Chang'an University, Xi'an710064, Shaanxi ,CN
  • School of Architecture, Chang' an University, Xi'an 710061, Shaanxi ,CN
  • School of Architecture, Chang' an University, Xi'an 710061, Shaanxi ,CN
  • School of Architecture, Chang' an University, Xi'an 710061, Shaanxi ,CN

Keywords:

Inventory Planning, Low-Carbon Travel, Intensive Land Use, Multi-Source Heterogeneous Data, Influence Mechanism.

Abstract

The correlation between residents’ travel mode and land use characteristics has always been a frontier issue in domestic and foreign research. The built-up area is faced with the dilemma between traffic supply and demand caused by the mismatch between residents’ travel mode and land use characteristics. The research on the correlation between low-carbon travel and intensive land use has made an important contribution to eliminate the dilemma. From the three aspects of research elements, research perspective and research method, this paper thoroughly reviews the domestic and foreign research on the correlation. moreover, the advantages and disadvantages of the existing methods are identified to summarize the general research trend and the existing problems. The research aims to provide a new perspective for the study of intensive land use in built-up areas in three aspects: the consistency of synergetic theories, the quantification of land intensive use indicators based on low-carbon travel and the use of multi-source heterogeneous data for feature recognition.

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Published

2022-10-23

How to Cite

Yaqiong, D., Quanhua, H., Zhang, X., & Weijia, L. (2022). Review and Enlightenment of Intensive Land Use in Built-Up Area Based on Low-Carbon Travel. Journal of Mines, Metals and Fuels, 66(9), 704–713. Retrieved from http://www.informaticsjournals.com/index.php/jmmf/article/view/31787

 

References

Zhang Y.W., Li J. (2015): “The conception of urban spatial structure based on low-carbon travel orientation”.Urban problems, (11), 45-52.

D.Stead. (1999): “Relationships between transport emissions and travel patterns in Britain”. Transport policy, (6), 247-258.

Wang G.R. (2011): “Research on the Low-carbon Travel Mode of Citizens”. Urban Insight, 12(2), 174-178.

Duan M.M. (2015): “Analysis and Empirical Study on Influencing Factors of Low-carbon Travel of Urban residents”. China Collective Economy, (12), 23-24.

Wang Y.R. (2016): “A Study of the Factors Influencing Residents’ Intention of Low-carbon Travel”. Journal of Yunnan University for Nationalities (Natural Science Edition), 25(3), 280-285.

Ewing R. (2001): “Travel and the built environment: a synthesis”. Transportation Research Record, 1780(1), 265-294.

Handy S, Cao X, Mokhtarian P. (2005): “Correlation or causality between the built environment and travel behaviour? Evidence from northern California”.Transportation Research part D, 10(6), 427-444.

Cao X. (2015): “Examining the Relationship between neighborhood Built Environment and Travel Behaviour: a Review from the uS Perspective”. Urban planning International, 30(4), 46-52.

Sun B.D., Dan B. (2015): “pact of urban Built Environment on Residential Choice of Commuting Mode in Shanghai”. ActaGeographicaSinica, 70(10), 1664-1674.

Ren J.F., Lv B. (2011): “The Impact of Land use on Travel”. Urban planning Forum, (5), 63-72.

Ye R., Titheridge H. (2016): “Satisfaction with the commute: The role of travel mode choice, built environment and attitudes”. Transportation Research part D, (52), 535-547.

Zhu T.M., Yang G.S., Wan R.R.(2009): “Research Progress in the Domestic and Foreign urban Land Intensive use Quantitative Evaluation”. Economic Geography, 29(6), 977-983.

Frank L D, Pivo G. (1995): “Impacts of mixed use and density on the utilization of three modes of travel: single occupant vehicle, transit, and walking”.Washington D C: Transportation Research Record, 13-42.

Cervero R. (1996): “Mixed land-uses and commuting: Evidence from the american Housing Survey”. Transportation Research part A policy & practice, 30(5), 361-377.

Kockelman K M. (1997): “Travel Behaviour as Function of accessibility, Land use Mixing, and Land use Balance: Evidence from San Francisco Bay area”. Transportation Research Record Journal of the Transportation Research Board, 1607(1607), 116-125.

Kitamura R, Mokhtarian p, Laidet L. (1997): “A Micro-analysis of Land use and Travel in Five neighborhoods in the San Francisco Bay area”. Transpiration, 24(2), 125-158.

Qian L.B.(2000): “The Research on the Relationship between Degree of Mixed urban Land-use and Spatial Distribution of Trips”. Urban Research, (3), 7-10.

Zhang M, Zhao P. (2017): “The impact of land-use mix on residents' travel energy consumption: new evidence from Beijing”. Transportation Research part D Transport & Environment, 57, 224-236.

Zhou S.H., Yang L.J. (2005): “The Influence of Urban Land Use Intensity of Urban Traffic”. Urban planning Forum, (2), 75-80.

Peng H., Lu H.P.(2007): “Using GIS Spatial analysis to Survey the Relationship between urban Density and Travel Demand”. Journal of Transportation Systems Engineering and Information Technology, (4), 90-95.

Zheng M., Zhang X.D. (2008): “Determine appropriate Landuse Intensity according to Road Capacity” a Case Study of Detailed Control Planning for Central District in Beijing”. Urban Transport of China, 6(5), 15-18.

Hou Q.H., Duan Y.Q., Ma R.G.(2015): Collaborative Optimization of Land Use Intensity and Traffic Capacity under Hierarchical Control Rules of Regulatory Detailed Planning”. Journal of Chang’an University (Natural Science Edition), 35(2), 114-121.

Cervero R, Duncan M. (2006): “Which reduces vehicle travel more: jobs-housing balance or retail-housing mixing?”. Journal of the American planning Association, 72(4), 475-491.

Long Y., Zhang Y., Cui C.Y. (2012): “Identifying Commuting Pattern of Beijing using Bus Smart Card Data”. ActaGeographicaSinica, 67(10), 1339-1352.

Ta N., Chai Y.W., Guan M.B. (2015): “The Relationship between the Built Environment and Car Travel Distance on Weekdays in Beijing”. ActaGeographicaSinica, 75(10), 1675-1685.

Geurs, K,Zondag, B, de Jong, G, de Bok, M. (2010): “Accessibility appraisal of land-use/transport policy strategies: More than just adding up travel-time savings”.Transport Research part D-Transport and Environment, 15(7), 382-393.

Manaugh, K, Miranda-Moreno, LF, El-Geneidy,AM. (2010): “The effect of neighborhood characteristics, accessibility, home-work location, and demographics on commuting distances”. Transportation, 37(04), 627-646.

Liu X.T., Gu C.L. (2010): “A Spatial analysis of the Modal accessibility Gap in nanjing Metropolitan area”. Urban planning Forum, (02), 49-56.

Zhou J.P., Chen X.J, Huang W., Yu P., Zhang C.(2013): “Jobs-housing balance and commute efficiency in cities ofcentral and western China:A case study of Xi'an”. ActaGeographicaSinica, 68(10), 1316-1330.

Hong J, Shen Q., Zhang L. (2014): “How do built-environment factors affect travel behaviour? a spatial analysis at different geographic scales”. Transportation, 41(3), 419-440.

A. Friedman, V. Cammalleri. (1994): “Reducing Energy, Resources and Construction Waste through Effective Residential unit Design”. Building Research & Information, 22(2), 103-108.

Newman P. W. G., Kenworthy J. R. (1996): “The Land use-Transport Connection an Overview”. Land Use policy, 13(1),1-22.

Jacobs J. (2005): “The Death and Life of Great american Cities”. Yilin Press

Cervero R. (2007): “Translated by Yuheng Sustainable Transport Research Centre. Public Transportation in Cities”. China Building Industry Press

Shi F., Yu S.J. (2016): “A Study of urban Road network Structure and System from the Perspective of Transit Orientation”. Huazhong university of Science and Technology Press

Lyu X, Han Q, Vries B D. (2017): “Procedural modeling of urban layout: population, land use, and road network”. Transportation Research procedia, 25, 3337-3346.

Cervero R, Kockelman K. (1997): “Travel demand and the 3Ds: Density, diversity, and design”. Transportation Research part D Transport & Environment, 2(3), 199-219.

Handy S, Paterson R G, Butler K S. (2003): “Planning for street connectivity: Getting from here to there”. Apa planning Advisory Service Reports, (515), 1-75.

Dill J. (2004): “Measuring Network Connectivity for Bicycling and Walking. Presented at 83rd annual Meetingof the Transportation Research Board”. Wationgton, D.C.

Peng H, Guo J, Wang J, et al. (2011): “Network coupling of urban land use and public transport”. Transportation of China. IET, 25-30.

Guo L., He H., Chen L.L. (2013): “Study on the Characteristics of Conventional Transit-Oriented urban Transport and Land-use: Taking Huangshi City in Hubei Province as an Example”. Huazhong Architecture, 31(5), 125-129.

Cervero R. (1994): “Rail Transit and Joint Development: Land Market Impacts in Washington, D.C. and atlanta”. Journal of the American planning Association, 60(1), 83-94.

C.Baker.(1983): “Tracking Washington's metro”. American Demographics, (11), 30-35+ 46.

Green R D, James D M. (1993): “Rail transit station area development: small area modeling in Washington, D.C.”. panminervamedica, 43(3), 171-185.

Bian J.W. (2009): “Development Patterns of urban Rail Transit and Spatial Structure”. Urban Transport of China, 7(5), 40-44.

Zhang J, Lu H, Li Y. (2010): “A Traffic Efficiency-Based Optimization Model for Land use around High Speed Railway Station”. Tenth International Conference of Chinese Transportation Professionals, 106-116.

Tang Z.Z., Li S.Y., Li X., Liu X.P., Chen Y.M., Li W.X. (2017): “Spatio-temporal Effects of urban Rail Transit on Complex Land-use Chang”. ActaGeographicaSinica, 72(5), 850-862.

Qu T., Cai J.M., Zhang L.Q., Zheng B. (2010): “Research on Floor area Rate Planning Guide of Railway Traffic”. ActaGeographicaSinica, 65(2),202-212.

Wang J.Y., Zheng X., Mo Y.K. (2011): “Establishment of Density Zoning and Determination of Floor area Ratio along Rail Transit Line Based on TOD: A Case Study on Rail Transit Line 3 in Shenzhen”. City planning Review, 35(4),30-35.

Rodrguez D A, Joo J. (2004): “The relationship between nonmotorized mode choice and the local physical environment”. Transportation Research part D, (9),151-173.

Khan M, Kockelman K M, Xiong X. (2014): “Models for anticipating non-motorized travel choices and the role of the built environment”. Transport policy, 35,117-126.

Southworth M. (2005): “Designing the Walkable City”. Journal of Urban planning and Development, (12), 246-257.

Greenwald M, Boarnet M. (2001): “Built Environment as Determinant of Walking Behaviour: analyzing nonwork Pedestrian Travel in Portland, Oregon”. Transportation Research Record Journal of the Transportation Research Board, 1780(1),33-41.

Kamruzzaman, M., Washington, S., Baker, D., Brown, W.,Giles-Corti, B. Turrell, G. (2016): “Built environmentimpacts on walking for transport in Brisbane, australia”. Transportation, 43(1), 53–77.

Peng L. (2014): “Empirical Study on american Community Road Network based on Non-Motorized-Traffic”. planners, (00), 245-253.

Wei Y.P., Pan C.L. (2012): “Urban Land-use Characteristics and Commuters’ Travel Pattern: a Case Study of West Hangzhou”. City planning Review, 36(03), 76-84+89.

Chen Y.P., Song Y., Zhang Y., Peng K., Zhang Q., Jin X. (2011): “Impact of Land use Development on Travel Mode Choice: a Case Study in Shenzhen”. Urban Transport of China, 9(5), 80-85+27.

Chai Y.W., Tan Y.M., Shen Y., Guan M.B. (2017): “Space-Behaviour Interaction Theory: Basic Thinking of General Construction”. Geographical Research, 36(10), 1959-1970.

Wang D., Zhong W.J., Xie D.C., Ye H. (2015): “The application of Cell Phone Signaling Data in the assessment of urban Built Environment: a Case Study of Baoshan District in Shanghai”. Urban planning Forum, (5), 82-90.

Ding L., NiuX.Y.,Song X.D.(2016): “Measuring the Employment Center System in Shanghai Central City: a Study using Mobile Phone Signaling Data”. ActaGeographicaSinica, 71(3),484-499.

Qi G D, Li X L, Li S J, et al. (2011): “Measuring Social Functions of CityRegions from Large-Scale Taxi Behaviours”.2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops), 384-388.

Chen Y.X., Zhen F. (2014): “Further Investigation into urban Spatial Function Organization Based on Residents’ activity Data—a Case Study of nanjing”. Urban planning Forum, (5), 72-78.