Transport Modeling With a Purpose: How Urban Systems Design Can Bridge the Gaps Between Modeling, Planning, and Design

Binder, Robert B.; Lancaster, Zachary; Tobey, Michael; Jittrapirom, Peraphan; Yamagata, Yoshiki

doi:10.2495/ut190081

Cited by 9 publications

(13 citation statements)

References 11 publications

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“…The available tools are becoming complex, and a growing number of parameters, aspects, and stakeholders have to be considered [1]. The traditional modeling tools have been extended with activity-based models, which serve the analysis of traffic impacts and travel behavior, where a main issue is the identification of the most relevant modeling parameters [2].…”

Section: Introductionmentioning

confidence: 99%

Linking Mode Choice with Travel Behavior by Using Logit Model Based on Utility Function

Al-Salih

Esztergár-Kiss

2021

Sustainability

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The currently available transport modeling tools are used to evaluate the effects of behavior change. The aim of this study is to analyze the interaction between the transport mode choice and travel behavior of an individual—more specifically, to identify which of the variables has the greatest effect on mode choice. This is realized by using a multinomial logit model (MNL) and a nested logit model (NL) based on a utility function. The utility function contains activity characteristics, trip characteristics including travel cost, travel time, the distance between activity place, and the individual characteristics to calculate the maximum utility of the mode choice. The variables in the proposed model are tested by using real observations in Budapest, Hungary as a case study. When analyzing the results, it was found that “Trip distance” variable was the most significant, followed by “Travel time” and “Activity purpose”. These parameters have to be mainly considered when elaborating urban traffic models and travel plans. The advantage of using the proposed logit models and utility function is the ability to identify the relationship among the travel behavior of an individual and the mode choice. With the results, it is possible to estimate the influence of the various variables on mode choice and identify the best mode based on the utility function.

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Section: Introductionmentioning

confidence: 99%

Linking Mode Choice with Travel Behavior by Using Logit Model Based on Utility Function

Al-Salih

Esztergár-Kiss

2021

Sustainability

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“…The USD framework seeks to close the gap between designers and modelers, as these tasks are to be jointly handled by them. It's a process to utilize a looping method of redesign and verification [27].…”

Section: Modelingmentioning

confidence: 99%

“…Smart Cities 2019, 2 FOR PEER REVIEW 7 tasks are to be jointly handled by them. It's a process to utilize a looping method of redesign and verification [27].…”

Section: Modelingmentioning

confidence: 99%

“…To summarize, this study categorizes the constituent elements of urban systems into governance, infrastructure and the built environment, socioeconomics, and the natural environment (Figure 6). The elements and sub-elements are defined by cross-validating different literature [10,27,28,[30][31][32][33][35][36][37][38][39]. The evaluation criteria of urban resilience should be applicable for any given types of stresses, systems, and recovery.…”

Section: Resiliencementioning

confidence: 99%

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Urban Systems Design: A Conceptual Framework for Planning Smart Communities

et al. 2019

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Urban systems design arises from disparate current planning approaches (urban design, Planning Support Systems, and community engagement), compounded by the reemergence of rational planning methods from new technology (Internet of Things (IoT), metric based analysis, and big data). The proposed methods join social considerations (Human Well-Being), environmental needs (Sustainability), climate change and disaster mitigation (Resilience), and prosperity (Economics) as the four foundational pillars. Urban systems design integrates planning methodologies to systematically tackle urban challenges, using IoT and rational methods, while human beings form the core of all analysis and objectives. Our approach utilizes an iterative three-phase development loop to contextualize, evaluate, plan and design scenarios for the specific needs of communities. An equal emphasis is placed on feedback loops through analysis and design, to achieve the end goal of building smart communities.

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“…Examples of the early failures of singular-focused data application can be seen in the planning profession's early phases in the United States of America, during the 1950-1970s, when rational planning created objects that failed to account for humanity [17]. Much of these failures were due to bad, incomplete, or unknown consequences that we are more aware of now; however, some focus areas of the profession, such as transportation planning, still overuse these methods today and display the results in a simple objective [21]. Looking toward the future, it is important that we use technology effectively and continue to prioritize humane design in planning our future cities, as models do not give answers to complex problems of urban planning but to the questions asked that are used to inform designs and plans constructed for humans.…”

Section: Introductionmentioning

confidence: 99%

Urban Systems Design Case Study: Tokyo’s Sumida Ward

et al. 2019

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Meeting the needs of increasing environmental and systematic pressures in urban settlements requires the use of integrated and wholistic approaches. The Urban Systems Design (USD) Conceptual Framework joins the metric-based modeling of rationalized methods with human-driven goals to form a combined iterative design and analysis loop. The framework processes information for the fundamental element of cities—humans—to large-scale modeling and decision-making occurring in district- and ward-level planning. There is a need in the planning and design profession to better integrate these efforts at a greater scale to create smart communities that are inclusive and comprehensive in aspects from data management to energy and transportation networks. The purpose of this study is to examine the applicability of this method as it pertains to a model and design integrated approach. Northern Sumida Ward, located in Tokyo, exemplifies the contextualized needs of Tokyo, and Japan, while forming a coherent internal community. Focusing on methodology, our process explores the creation of typologies, metric-based analysis, and design-based approaches that are integrated into modeling. The results of the analyses provide initial evidence regarding the validity of the USD approach in modeling changes to complex systems at differing design scales, connecting various qualities of the built environment, building and urban forms, and diagnostic comparisons between baseline and change conditions. Because of some inconsistencies and the need for further evidence gathering, the methods and processes show that there is much work to be done to strengthen the model and to continue building a more productive field of USD. However, in this framework’s continuing evolution, there is increasing evidence that combining the planning and design of urban systems creates a more resilient, economically viable, sustainable, and comfortable city.

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Transport Modeling With a Purpose: How Urban Systems Design Can Bridge the Gaps Between Modeling, Planning, and Design

Cited by 9 publications

References 11 publications

Linking Mode Choice with Travel Behavior by Using Logit Model Based on Utility Function

Linking Mode Choice with Travel Behavior by Using Logit Model Based on Utility Function

Urban Systems Design: A Conceptual Framework for Planning Smart Communities

Urban Systems Design Case Study: Tokyo’s Sumida Ward

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