Applied Research in Geographical Sciences

Applied Research in Geographical Sciences

The Analysis of Urban Form Elements Effect on the Behaviour of the travel and to Develop low-carbon City Case Study: Tabriz Metropolitan

Authors
1 Professor, Tabriz University
2 Associate Prof , Tabriz University
3 Tabriz University
Abstract
There is a wide body of literature indicating a strong link between urban form and carbon emissions in the transport sector, this is done through the impact of city form components on citizen’s travel behavior. Therefore, in urban low carbon development theory, the reduction of cavalry production through changes in urban form elements is considered. This paper investigates the effects of urban form components on Tabriz Metropolitan travel behavior. Tabriz’s single-engine city form makes maximum use of personal cars for city trips resulting in increased carbon emissions in Tabriz’s urban air. Therefore, the impact of urban form elements on car-driven travel behavior has been selected as the most fundamental pillar of low carbon studies in Tabriz. The results of the application of the Moran method show that the criteria used are mainly clustered and therefore have spatial autocorrelation and it is very useful to use location- based regression methods such as geographic weight regression. The results of this method show that access to metro stations in Tabriz metropolitan area the coefficient of importance of 0/40 have the least relationship with urban travel behavior, respectively and the two factors combining urban land use and business center access with a factor of importance of 0/54 are most important in urban travel behavior. It was therefore concluded that the components of urban form are more important in urban travel behavior and it needs to get more attention form city managers and planners in shaping a low-carbon city.
Keywords

Alkhathlan, K.; Javid, M. (2015) Carbon emissions and oil consumption in Saudi Arabia. Renew. Sustain. Energy Rev. 48, 105–111.
Buchanan, N., Barnett, R., Kingham, S.& Johnston, D. (2006). The effect of urban growth on commuting patterns in Christchurch. Journal of Transport Geography, (14): 342–354.
Campulova, M. Michalek, J. Moucka, J.(2019) Generalised linear model-based algorithm for detection of outliers in environmental data and comparison with semi-parametric outlier detection methods. Atmospheric Pollution Research. v. 10, no. 4, p. 1015-1023.
Chen, Y.;Wang, Q.Y.; Xi, W.Q.; Mao, J.(2017), Influence of Spatial Form on Pedestrians. Planners,33, 74–80.
Ewing, R and Cervero, R (2010), Travel and the Built Environment, A Meta-Analysis, Journal of the American Planning Association, Volume 76, 265-294.
Jain, D.; Tiwari, G. (2016) How the present would have looked like? Impact of non-motorized transport and public transport infrastructure on travel behavior, energy consumption and CO2 emissions—Delhi, Pune and Patna. Sustain. Cities Soc. 2016, 22, 1–10.
Kotval-K, Z.; Vojnovic, I. (2015) The socio-economics of travel behavior and environmental burdens: A Detroit, Michigan regional context. Transp. Res. Part D Transp. Environ, 41, 477–491.
Li J, Kevin Lo, and Meng Guo (2018) Do Socio-Economic Characteristics Affect Travel Behavior? A Comparative Study of Low-Carbon and Non-Low-Carbon Shopping Travel in Shenyang City, China, Int. J. Environ. Res. Public Health 2018, 15, 1346
Liu, B.; Evans, M.; Yu, S.;(2017) Roshchanka, V.; Dukkipati, S.; Sreenivas, A. Effective energy data anagement for low-carbon growth planning: An analytical framework for assessment. Energy Policy,107, 32–42.
Liu, F., Wei, Y. & Soutar, G., (2015), The Influence of Perceived Advertising Congruity on Chinese Ecotourists’ Attitude towards Australian Ecotourism Advertisements.
Ma, Jing(2014), Urban Form, Daily Travel Behaviour and Transport Emission: Micro-level Analysis and Spatial Simulation, Submitted in accordance with the requirements for the degree of Doctor of Philosophy, The University of Leeds, School of Geography
Paul Fenton (2016), Sustainable mobility in the low carbon city: Digging up the highway in Odense, Denmark, Sustainable Cities and Society 29, 203-210
Qian C, Zhou Y *, Ze Ji and Qing F (2018), The Influence of the Built Environment of Neighborhoods on Residents’ Low-Carbon Travel Mode, Sustainability 2018, 10, 823.
Sadorsky P (2014), The effect of urbanization on CO2 emissions in emerging economies, Energy Economics, 2014, vol. 41, issue C, 147-153
Thompson E S, Saveyn P, Declercq M et al (2018) Characterisation of heterogeneity and spatial autocorrelation in phase separating mixtures using Moran's I[J] Journal of Colloid and Interface Science 513 180-187
Tian X, Chang M, Shi F, Tanikawa H. (2014); “How does in dustrial structure change impact carbon dioxide emissions? A comparative analysis focusing on nine provincial regionsinChina Environ” Sci & Policy; 37:243–254.
Yu L. (2013). Neuroticism as a moderator of the effects on adolescent stress and depressive symptoms: a longitudinal study. Stud. Psychol. Behav. 11 411–416
Zheng Y.(2015) Trajectory Data Mining: An Overview. Acm Transactions on Intelligent Systems and Technology, vol. 6, no. 3, pp. 29, 2015.