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.

Dementia-Friendly Neighborhood and the Built Environment: A Scoping Review

2021 ◽  
Author(s):  
Daniel R Y Gan ◽  
Habib Chaudhury ◽  
Jim Mann ◽  
Andrew V Wister
Keyword(s):  
Built Environment ◽  
Qualitative Methods ◽  
Lived Experience ◽  
Scoping Review ◽  
Well Being ◽  
The Body ◽  
Policy Implications ◽  
Research Areas ◽  
Planning And Design ◽  
Neighborhood Built Environment

Abstract Background and Objectives There has been a proliferation of research on dementia-friendly communities in recent years, particularly on interpersonal and social aspects. Nonetheless, the neighborhood built environment remains a co-constituent of the lived experience of people living with dementia (PLWD) that is amenable to interventions for health and well-being in the community. This scoping review presents a narrative synthesis of empirical research on dementia-friendly neighborhoods, with a focus on the built environment and its associated sociobehavioral aspects. Planning and design principles are distilled to identify research and policy implications. Research Design and Methods We reviewed 29 articles identified through a systematic search of AgeLine, PsycINFO, Cumulative Index to Nursing and Allied Health Literature, Global Health, Medical Literature Analysis and Retrieval System Online, and Scopus. Peer-reviewed articles that employed quantitative and/or qualitative methods in community settings were included. Results An equal number of studies focused on behavioral/psychosocial aspects of the built environment and assessment of specific environmental features. The former often used qualitative methods, whereas statistical methods were common in studies on discrete features of the neighborhood built environment. Few studies focused on rural contexts. Emerging research areas include interactions between dementia risk factors and neighborhood environments to support primary and secondary prevention. Discussion and Implications The body of literature needs expansion into planning and design fields to foster community participation of PLWD by optimizing environmental stimuli, minimizing environmental barriers, and engaging PLWD in dementia-friendly community initiatives. While evidence has accumulated on landmarks and social participation at the individual level, research at the community and policy levels is limited. This requires advanced mixed methods.

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.

Neighborhood Supply Issues

2001 ◽  
Author(s):  
Marlon Boarnet ◽  
Randall C. Crane
Keyword(s):  
Built Environment ◽  
Urban Design ◽  
Travel Behavior ◽  
Urban Form ◽  
Empirical Work ◽  
Neighborhood Design ◽  
The Cost ◽  
In Transit ◽  
Insight Into

Chapter 3 reviewed the literature regarding the influence of the built environment on travel behavior, and chapter 4 then described one way the issue might be usefully studied. The empirical work in chapter 5 provided intriguing results while illuminating some complex issues that remain unresolved in the analysis of urban design and travel behavior. Overall, our analysis thus far suggests that the link between the built environment and travel is intimately tied to the how urban form influences the cost of travel, and that the effect of design is complex in ways not adequately appreciated in most policy discussions. Neighborhood design in particular might affect automobile travel, but we still have much to learn about the nature, generality, and policy role of any such link. That said, our analysis so far has been conventional in that it has focused on travel behavior. Yet that is only half of the story. It is also important to understand whether and how alternative land-use strategies might be more broadly implemented. Having sketched out the role of the demand for travel in understanding the impacts of urban form on trip making, we now examine the supply of urban form. Put another way, how do communities shape cities toward transportation ends? As discussed in chapter 3, a major difficulty in empirical work on travel behavior and urban design is that persons might choose residential locations based in part on how they wish to travel. Those who prefer walking are more likely to choose to live in pedestrian-friendly neighborhoods. People who prefer to commute by rail are more likely to live in transit-oriented developments. If so, then simply looking at differences in travel patterns across different neighborhoods does not give insight into how urban design causes persons to travel differently. It is possible that urban design might not lead persons to travel differently at all, at least not in the sense of changing the way they desire to travel. If there are an adequate number of communities providing less auto-dependent environments, then building more might have no influence on travel behavior.

HERITAGE IN THE LIVED ENVIRONMENT OF THE UNITED ARAB EMIRATES AND THE GULF REGION

2017 ◽  
Vol 11 (2) ◽  
pp. 55 ◽  
Author(s):  
Joseph John Hobbs
Keyword(s):  
Built Environment ◽  
United Arab Emirates ◽  
Architectural Design ◽  
Social Sustainability ◽  
Gulf Region ◽  
Planning And Design ◽  
Spatial Features ◽  
Gulf Countries ◽  
The Social ◽  
Islamic Values

This paper examines how the architectural, social, and cultural heritage of the United Arab Emirates and other Gulf countries may contribute to better development of this region’s lived environment. Modern urbanism has largely neglected heritage in architectural design and in social and private spaces, creating inauthentic places that foster a hunger for belongingness in the UAE’s built environment. The paper reviews recent urban developments in the UAE and the Gulf Region, and identifies elements of local heritage that can be incorporated into contemporary planning and design. It proposes that adapting vernacular architectural heritage to the modern built environment should not be the principal goal for heritage-informed design. Instead we may examine the social processes underlying the traditional lived environment, and aim for social sustainability based on the lifeways and preferences of local peoples, especially in kinship and Islamic values. Among the most promising precedents for modern social sustainability are social and spatial features at the scale of the neighborhood in traditional Islamic settlements. Interviews with local Emiratis will also recommend elements of traditional knowledge to modern settings. 

The Impact of Zoning and Built Environment Characteristics on Transit, Biking, and Walking

2019 ◽  
Vol 11 (1) ◽  
pp. 108-129
Author(s):  
Andrew G. Mueller ◽  
Daniel J. Trujillo
Keyword(s):  
Land Use ◽  
Built Environment ◽  
Discrete Choice ◽  
Travel Behavior ◽  
Choice Model ◽  
Mode Choice ◽  
Land Use Regulation ◽  
Policy Action ◽  
Development Goals ◽  
The Impact

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.

scholarly journals ‘We need to put what we do in my dad’s language, in pounds, shillings and pence’: Commercialisation and the reshaping of public-sector planning in England

Urban Studies ◽  
2021 ◽  
pp. 004209802198995
Author(s):  
Jason Slade ◽  
Malcolm Tait ◽  
Andy Inch
Keyword(s):  
Public Sector ◽  
Built Environment ◽  
Ethnographic Study ◽  
Professional Identities ◽  
Local Planning ◽  
Planning Practice ◽  
Neoliberal Governance ◽  
Original Contribution ◽  
Disciplinary Matrix ◽  
Planning Authority

This article furthers understanding of how commercial imperatives are reshaping dominant conceptions of planning practice in England, and by extension the production of the built environment more widely. We make an original contribution by tracing the emergence of the logic of commercialisation in England, demonstrating how the impacts of austerity and ‘market-led viability planning’ have entrenched the ‘delivery state’, a powerful disciplinary matrix representing late-neoliberal governance. Through in-depth, ethnographic study of a local planning authority, we argue that commercialisation within the delivery state creates a distinct ‘economy of attention’, reshaping planners’ agency and professional identities, and the substance and scope of their work. The conclusion draws out wider implications of commercialisation for planning in and beyond the delivery state.

Using Deep Learning to Understand Travel Demands in Different Urban Districts

2021 ◽  
pp. 036119812199458
Author(s):  
Shunhua Bai ◽  
Junfeng Jiao
Keyword(s):  
Built Environment ◽  
Travel Behavior ◽  
Prediction Accuracy ◽  
Travel Demand ◽  
Short Term Memory ◽  
Future Research ◽  
Demand Forecast ◽  
Time And Space ◽  
The University ◽  
The Impact

Travel demand forecast plays an important role in transportation planning. Classic models often predict people’s travel behavior based on the physical built environment in a linear fashion. Many scholars have tried to understand built environments’ predictive power on people’s travel behavior using big-data methods. However, few empirical studies have discussed how the impact might vary across time and space. To fill this research gap, this study used 2019 anonymous smartphone GPS data and built a long short-term memory (LSTM) recurrent neural network (RNN) to predict the daily travel demand to six destinations in Austin, Texas: downtown, the university, the airport, an inner-ring point-of-interest (POI) cluster, a suburban POI cluster, and an urban-fringe POI cluster. By comparing the prediction results, we found that: the model underestimated the traffic surge for the university in the fall semester and overestimated the demand for downtown on non-working days; the prediction accuracy for POI clusters was negatively related to their adjacency to downtown; and different POI clusters had cases of under- or overestimation on different occasions. This study reveals that the impact of destination attributes on people’s travel demand can vary across time and space because of their heterogeneous nature. Future research on travel behavior and built environment modeling should incorporate the temporal inconsistency to achieve better prediction accuracy.

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