Assessment of Accessibility for Mixed Land Use Neighborhoods Through Travel Behavior Pattern

Author(s):  
Jayesh Juremalani ◽  
Krupesh A. Chauhan
1970 ◽  
Vol 2 ◽  
pp. 78-97
Author(s):  
Md Lutfur Rahman ◽  
Md Monowarul Islam ◽  
Mohammad Al Mamun

Commuter’s modal choice is a complex phenomenon in urban transportation. It is a key determinant of modern transport planning. Commuters always want to get a hold on any mode at any point of time to meet their travel demand and the selection of mode depends on various factors associated with the commuting. In Savar Pourashava, modal choice by commuters varies with commuter’s socio-economic background and demographic characteristics. It also varies with the services that are provided by the various modes operating in the study area. The land use characteristics also affect the travel behavior pattern of commuters in the study area. The attitude and preference of commuters towards modes are also varied from each other. For achieving efficient and reliable transportation system in terms of modal choice of the commuters in the study area, it is essential to identity various factors affecting the travel pattern of the commuters. This research has attempted to identity these factors in modal choice and investigated over the mode that has been preferred by individual commuters and the reasons for selection of the mode. Beside this, the research has explored the relationship between land use characteristics and travel behavior pattern of the commuters.DOI: http://dx.doi.org/10.3329/jbip.v2i0.9569Journal of Bangladesh Institute of PlannersVol. 2, December 2009, pp. 78-97


2019 ◽  
Vol 11 (1) ◽  
pp. 108-129
Author(s):  
Andrew G. Mueller ◽  
Daniel J. Trujillo

This study furthers existing research on the link between the built environment and travel behavior, particularly mode choice (auto, transit, biking, walking). While researchers have studied built environment characteristics and their impact on mode choice, none have attempted to measure the impact of zoning on travel behavior. By testing the impact of land use regulation in the form of zoning restrictions on travel behavior, this study expands the literature by incorporating an additional variable that can be changed through public policy action and may help cities promote sustainable real estate development goals. Using a unique, high-resolution travel survey dataset from Denver, Colorado, we develop a multinomial discrete choice model that addresses unobserved travel preferences by incorporating sociodemographic, built environment, and land use restriction variables. The results suggest that zoning can be tailored by cities to encourage reductions in auto usage, furthering sustainability goals in transportation.


2019 ◽  
Author(s):  
Cara Peterman ◽  
◽  
Alan Fryar ◽  
Dwayne Edwards ◽  
Lillian Gorman-Sanisaca ◽  
...  

2007 ◽  
Author(s):  
Phillip M Geary ◽  
Steven A Lucas ◽  
Richard H Dunstan ◽  
Peter J Coombes
Keyword(s):  
Land Use ◽  

Land ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 137
Author(s):  
Xianchun Tan ◽  
Tangqi Tu ◽  
Baihe Gu ◽  
Yuan Zeng ◽  
Tianhang Huang ◽  
...  

Assessing transport CO2 emissions is important in the development of low-carbon strategies, but studies based on mixed land use are rare. This study assessed CO2 emissions from passenger transport in traffic analysis zones (TAZs) at the community level, based on a combination of the mixed-use development model and the vehicle emission calculation model. Based on mixed land use and transport accessibility, the mixed-use development model was adopted to estimate travel demand, including travel modes and distances. As a leading low-carbon city project of international cooperation in China, Shenzhen International Low-Carbon City Core Area was chosen as a case study. The results clearly illustrate travel demand and CO2 emissions of different travel modes between communities and show that car trips account for the vast majority of emissions in all types of travel modes in each community. Spatial emission differences are prominently associated with inadequately mixed land use layouts and unbalanced transport accessibility. The findings demonstrate the significance of the mixed land use and associated job-housing balance in reducing passenger CO2 emissions from passenger transport, especially in per capita emissions. Policy implications are given based on the results to facilitate sophisticated transport emission control at a finer spatial scale. This new framework can be used for assessing the impacts of urban planning on transport emissions to promote sustainable urbanization in developing countries.


2021 ◽  
Vol 13 (2) ◽  
pp. 810
Author(s):  
Eun Yeong Seong ◽  
Nam Hwi Lee ◽  
Chang Gyu Choi

This study confirmed the general belief of urban planners that mixed land use promotes walking in Seoul, a metropolis in East Asia, by analyzing the effect of mixed land use on the travel mode choice of housewives and unemployed people who make non-commuting trips on weekdays. Using binomial logistic regression of commuting data, it was found that the more mixed a neighborhood environment’s uses are, the more the pedestrians prefer to walk rather than drive. The nonlinear relationship between the land use mix index and the choice to walk was also confirmed. Although mixed land use in neighborhoods increased the probability of residents choosing walking over using cars, when the degree of complexity increased above a certain level, the opposite effect was observed. As the density of commercial areas increased, the probability of selecting walking increased. In addition to locational characteristics, income and housing type were also major factors affecting the choice to walk; i.e., when the residents’ neighborhood environment was controlled for higher income and living in an apartment rather than multi-family or single-family housing, they were more likely to choose driving over walking.


2021 ◽  
Vol 140 ◽  
pp. 105000
Author(s):  
Anoop Valiya Veettil ◽  
Timothy R. Green ◽  
Holm Kipka ◽  
Mazdak Arabi ◽  
Nathan Lighthart ◽  
...  

Author(s):  
Damien R. Finn ◽  
Juan Maldonado ◽  
Francesca de Martini ◽  
Julian Yu ◽  
C. Ryan Penton ◽  
...  

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