scholarly journals Is Built Environment Associated with Travel Mode Choice in Developing Cities? Evidence from Hanoi

2020 ◽  
Vol 12 (14) ◽  
pp. 5773
Author(s):  
Thi Mai Chi Nguyen ◽  
Hironori Kato ◽  
Le Binh Phan
Keyword(s):  
Built Environment ◽  
Travel Behavior ◽  
Control Strategies ◽  
Multinomial Logit Model ◽  
Spatial Aggregation ◽  
Policy Implications ◽  
Transit Oriented Development ◽  
Travel Mode ◽  
Aggregation Effect ◽  
Household Travel

This paper examines the association between the built environment (BE) and travel behavior in Hanoi, Vietnam. A multinomial logit model is used to analyze individuals’ choice of travel mode from a dataset collected via a questionnaire-based household travel survey in 2016 and the geospatial data of BE variables; the dataset contains 762 responses from local residents in ten districts of the Hanoi Metropolitan Area about their daily travel episodes. It also examines a spatial aggregation effect by comparing model performances among four buffering distances and ward-zones. The results showed that (1) a higher population density around an individual’s home is associated with more bus use and less motorbike and car use; (2) mixed land use around the home, average tax revenue near the home, and bus frequency at the workplace have positive relationships with bus ridership; (3) senior people, students, or unskilled laborers tend to use the bus; (4) the spatial aggregation bias significantly affects the estimation results; and (5) new immigrants tend to choose to reside in areas designed for automobile users. Finally, there are several policy implications for transit-oriented development (TOD) in Hanoi, including: (1) parking regulations and/or control strategies should be jointly incorporated into the Hanoi’s TOD policy; (2) Hanoi’s TOD policy should be carefully designed in terms of its scope of development site and type; and (3) a polycentric structure strategy only may not be sufficient for increasing public transit ridership.

scholarly journals How Urban Form Characteristics at Both Trip Ends Influence Mode Choice: Evidence from TOD vs. Non-TOD Zones of the Washington, D.C. Metropolitan Area

2019 ◽  
Vol 11 (12) ◽  
pp. 3403
Author(s):  
Arefeh Nasri ◽  
Lei Zhang
Keyword(s):  
Built Environment ◽  
Travel Behavior ◽  
Urban Form ◽  
Mode Choice ◽  
Discrete Choice Models ◽  
Sustainable Transportation ◽  
Lower Probability ◽  
Transit Oriented Development ◽  
Travel Mode ◽  
Travel Mode Choice

Understanding travel behavior and its relationship with built environment is crucial for sustainable transportation and land-use policy-making. This study provides additional insights into the linkage between the built environment and travel mode choice by looking at the built environment characteristics at both the trip origin and destination in the context of transit-oriented development (TOD). The objective of this research is to provide a better understanding of how travel mode choice is influenced by the built environment surrounding both trip end locations. Specifically, it investigates the effect of transit-oriented development policy and the way it affects people’s mode choice decisions. This is accomplished by developing discrete choice models and consideration of urban form characteristics at both trip ends. Our findings not only confirmed the important role the built environment plays in influencing mode choice, but also highlighted the influence of policies, such as TOD, at both trip end locations. Results suggest that the probability of choosing transit and non-motorized modes is higher for trips originating and ending in TOD areas. However, the magnitude of this TOD effect is larger at trip origin compared to destination. Higher residential and employment densities at both trips ends are also associated with lower probability of auto and higher probability of transit and non-motorized mode choices.

scholarly journals The Role of Destination’s Built Environment on Nonmotorized Travel Behavior: A Case of Long Beach, California

2017 ◽  
Vol 38 (2) ◽  
pp. 152-166 ◽  
Author(s):  
Dohyung Kim ◽  
Jiyoung Park ◽  
Andy Hong
Keyword(s):  
Built Environment ◽  
Travel Behavior ◽  
Mode Choice ◽  
Long Beach ◽  
Environment Factors ◽  
Household Travel Survey ◽  
Future Policy ◽  
Household Travel ◽  
National Household Travel Survey

This study examines how built environment factors at trip destinations influence nonmotorized travel behavior in the City of Long Beach, California. Using 2008–2009 National Household Travel Survey with California Add-Ons, we found that nonmotorized users tend to choose more clustered destinations than motorized users, and that density, diversity, and design at destinations significantly affect mode choice decisions. Transportation networks and nonmotorized facilities at trip destinations are especially important factors for nonmotorized mode choice. Future policy and research need to consider built environment factors at trip destinations to effectively accommodate nonmotorized travel within a city.

scholarly journals Analyzing the Influence of Neighborhood Development Pattern on Modal Choice

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Ali Soltani ◽  
Alireza Shams
Keyword(s):  
Built Environment ◽  
Travel Behavior ◽  
Personal Characteristics ◽  
Policy Implications ◽  
Local Planning ◽  
Neighborhood Development ◽  
Neighborhood Design ◽  
Utility Concept ◽  
Planning And Design ◽  
Southwest Of Iran

Although several studies have been undertaken on the association between built environmental characteristics and travel patterns in western societies, the impacts of the local built environment on individuals’ travel behavior considering the specific conditions of developing nations have remained largely unknown. Thus, this paper investigates the travel behavior effects of local planning and design in three residential neighborhoods of Shiraz, a city in the southwest of Iran. The data on land use and built environment characteristics were extracted primarily from an existing digital map and GIS, whereas the data on individuals’ socioeconomics and their daily travel behavior were purposefully collected using a field questionnaire survey (n=393). A nested logit model (NLM) based on the microeconomic utility concept was then applied to discover the impacts of personal characteristics and built environment factors on the choice mode of the individuals. The results and the associated policy implications can be helpful in defining a strategic agenda for neighborhood design and planning.

The impacts of built environment characteristics of rail station areas on household travel behavior

Cities ◽  
2018 ◽  
Vol 74 ◽  
pp. 277-283 ◽  
Author(s):  
Keunhyun Park ◽  
Reid Ewing ◽  
Brenda C. Scheer ◽  
Guang Tian
Keyword(s):  
Built Environment ◽  
Travel Behavior ◽  
Household Travel ◽  
Rail Station

Impact of Built Environment on Mode Choice to Major Destinations in Dhaka

2020 ◽  
pp. 036119812097841
Author(s):  
Paromita Nakshi ◽  
Anindya Kishore Debnath
Keyword(s):  
Land Use ◽  
Built Environment ◽  
Travel Behavior ◽  
Mode Choice ◽  
Multinomial Logit Model ◽  
Dissimilarity Index ◽  
Road Density ◽  
Environment Factors ◽  
Environment Variables ◽  
Study Results

In recent years, there has been a growing interest in investigating the impacts of built environment on mode choice decisions. There is a consensus that built environment factors influence travel behavior, although this influence is far from being homogenous. Compared with the North American and some European countries, there has been comparatively limited research in this field in the context of the Global South, especially South Asia. In this context, this paper aims to explore the extent to which built environment influences mode choice behavior to major destinations in Dhaka, the capital of Bangladesh. “Major destinations” refers to the statistically significant trip-attracting clusters in the city. Dhaka is a city with heterogeneous motorized and non-motorized modes. Investigating mode choice decisions, in such a setting, is vital for the planners and policymakers to realize the goals of sustainable development with measured insights. A multinomial logit model was used to estimate the effects of built environment factors on mode choice to work and non-work trips in Dhaka. The study results showed that inclusion of built environment variables had significantly improved the models. Several built environment variables, including dissimilarity index, distance to the nearest bus stop, road density, and so forth, were found to be strong predictors of mode choice, and their elasticities were higher than the elasticities of several personal and household characteristics. Down that line, the findings provided support in favor of considering land use policies intended to increase accessibility, mixed land use, density, and so forth.

The role of peer effects and the built environment on individual travel behavior

2017 ◽  
Vol 45 (3) ◽  
pp. 452-469 ◽  
Author(s):  
Changjoo Kim ◽  
Olivier Parent ◽  
Rainer vom Hofe
Keyword(s):  
Built Environment ◽  
Travel Behavior ◽  
Social Influences ◽  
Strong Impact ◽  
Behavioral Models ◽  
Model Framework ◽  
Household Travel Survey ◽  
Transport Modes ◽  
Household Travel

While urban planners and transportation geographers have long emphasized the importance of social influences on individual travel behavior, many challenges remain to bridge the gap between complex conceptual frameworks and operational behavioral models. Improving the ability of models to forecast activity-travel behavior can provide greater insights into urban planning issues. This paper proposes a new model framework by evaluating how individual travel behavior is influenced by inter- and intra-household interactions. The built environment, land-use mix, and social interactions influence household member choices among different transport modes. We propose a spatial multivariate Tobit specification that allows each individual to face a set of potential destinations and transport modes and takes into consideration the travel behavior of other household members and nearby neighbors. Using the Greater Cincinnati Household Travel Survey, we analyzed more than 37,000 trips made by 1968 individuals located in Hamilton County in Cincinnati, Ohio. Results reveal that social influences and the built environment have a strong impact on the willingness to walk and to cycle.

Chasing Sustainability

2015 ◽  
Vol 2531 (1) ◽  
pp. 83-92 ◽  
Author(s):  
Myriam Langlois ◽  
Dea van Lierop ◽  
Rania A. Wasfi ◽  
Ahmed M. El-Geneidy
Keyword(s):  
Travel Behavior ◽  
Multinomial Logistic Regression ◽  
Motor Vehicles ◽  
Mode Switching ◽  
Transit Oriented Development ◽  
Travel Mode ◽  
Policy Makers ◽  
Shopping Trips ◽  
Negative Impacts ◽  
Automobile Use

One of the solutions suggested for mitigating the detrimental effect of motor vehicles on society is to implement transit-oriented development (TOD). This type of development is intended to reduce automobile use and urban sprawl as well as to provide communities with more socially, environmentally, and economically sustainable neighborhoods that offer a variety of mobility choices. This study attempted to find out whether new residents adopted more sustainable modes of transportation after their relocation to a TOD. The analysis determined which factors influenced travel mode switching decisions by specifying a multilevel multinomial logistic regression model. Data for the analysis were drawn from a travel behavior survey conducted on residents in seven North American TODs in 2013. The results showed that newcomers adopted more sustainable travel modes for amenities and leisure trips after they relocated to a TOD but that they were less likely to do so for work and shopping trips. To encourage more sustainable travel modes, the study findings suggested that transit incentives coupled with workplace parking charges needed to be considered. Factors that were found to increase the probability that new TOD residents would switch to a more sustainable mode of transportation included their awareness of the environmental impact of each travel mode, the ease with which it was possible to walk through the neighborhood and to various destinations, and the proximity to transit stops. However, larger household size, homeownership, and the addition of a new car had negative impacts. The findings provided new insights into TOD planning and its link to travel behavior; these insights could benefit planners, engineers, and policy makers who have adopted the TOD approach to development with the goal of mitigating car usage.

How does parking interplay with the built environment and affect automobile commuting in high-density cities? A case study in China

Urban Studies ◽  
2016 ◽  
Vol 54 (14) ◽  
pp. 3299-3317 ◽  
Author(s):  
Qian Liu ◽  
James Wang ◽  
Peng Chen ◽  
Zuopeng Xiao
Keyword(s):  
Land Use ◽  
Built Environment ◽  
Structural Equation ◽  
Equation Model ◽  
Policy Implications ◽  
Transit Oriented Development ◽  
Fine Grained ◽  
Supply Mechanism ◽  
Residential Population

This study investigates an important but often overlooked problem – the interaction between parking and land use – to examine the effects of the built environment on car commuting. Using the case of Shenzhen, China, a structural equation model is employed to examine the tripartite relationship among the built environment, parking supply and car commuting. The parking–built environment relationship partly reflects the parking supply mechanism that is collectively influenced by the parking market and regulations. The results indicate that, because of the high cost of constructing parking, property developers are reluctant to build sufficient parking spaces for the residential population in densely built neighbourhoods with small lot sizes. However, minimum parking standards often lead to more parking provisions in dense central locations. Therefore, the benefits of compact land use and transit-oriented development (TOD) for reducing car use are either reinforced or offset depending on the various interrelationships between parking and the built environment. In the context of policy implications, a fine-grained urban fabric should be particularly supported, considering its significant effects in reducing car commuting, as well as its potential role in fostering a well-functioning parking market. Meanwhile, imposing parking caps in dense and central areas would be wise because parking oversupply encourages more car trips, which counteracts the sustainable merits of dense developments.

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