scholarly journals Planning Adaptive Strategies for Urban Transport and Land Use using Scenario-Building

2022 ◽  
Vol 60 ◽  
pp. 274-281
Author(s):  
Amor Ariza-Álvarez ◽  
Julio A. Soria-Lara ◽  
Francisco Aguilera-Benavente
Keyword(s):  
Land Use ◽  
Adaptive Strategies ◽  
Urban Transport ◽  
Scenario Building

scholarly journals Real-time urban regional route planning model for connected vehicles based on V2X communication

2020 ◽  
Vol 13 (1) ◽  
pp. 517-538 ◽  
Author(s):  
Pangwei Wang ◽  
Hui Deng ◽  
Juan Zhang ◽  
Mingfang Zhang
Keyword(s):  
Land Use ◽  
Travel Time ◽  
Real Time ◽  
Land Use Planning ◽  
Route Planning ◽  
Urban Traffic ◽  
Urban Transport ◽  
Connected Vehicles ◽  
Planning Model ◽  
Optimal Route

Advancement in the novel technology of connected vehicles has presented opportunities and challenges for smart urban transport and land use. To improve the capacity of urban transport and optimize land-use planning, a novel real-time regional route planning model based on vehicle to X communication (V2X) is presented in this paper. First, considering the traffic signal timing and phase information collected by V2X, road section resistance values are calculated dynamically based on real-time vehicular driving data. Second, according to the topology structure of the current regional road network, all predicted routes are listed based on the Dijkstra algorithm. Third, the predicted travel time of each alternative route is calculated, while the predicted route with the least travel time is selected as the optimal route. Finally, we design the test scenario with different traffic saturation levels and collect 150 sets of data to analyze the feasibility of the proposed method. The numerical results have shown that the average travel times calculated by the proposed optimal route are 8.97 seconds, 12.54 seconds, and 21.85 seconds, which are much shorter than the results of traditional navigation routes. This proposed model can be further applied to the whole urban traffic network and contribute to a greater transport and land-use efficiency in the future.

scholarly journals Disruptive Impacts of Automated Driving Systems on the Built Environment and Land Use: An Urban Planner’s Perspective

2019 ◽  
Vol 5 (2) ◽  
pp. 24 ◽  
Author(s):  
Yigitcanlar ◽  
Wilson ◽  
Kamruzzaman
Keyword(s):  
Land Use ◽  
Built Environment ◽  
Traffic Safety ◽  
Autonomous Vehicles ◽  
Capital Investment ◽  
Smart Cities ◽  
Autonomous Vehicle ◽  
Urban Transport ◽  
Current Status ◽  
Smart Mobility

Cities have started to restructure themselves into ‘smart cities’ to address the challenges of the 21st Century—such as climate change, sustainable development, and digital disruption. One of the major obstacles to success for a smart city is to tackle the mobility and accessibility issues via ‘smart mobility’ solutions. At the verge of the age of smart urbanism, autonomous vehicle technology is seen as an opportunity to realize the smart mobility vision of cities. However, this innovative technological advancement is also speculated to bring a major disruption in urban transport, land use, employment, parking, car ownership, infrastructure design, capital investment decisions, sustainability, mobility, and traffic safety. Despite the potential threats, urban planners and managers are not yet prepared to develop autonomous vehicle strategies for cities to deal with these threats. This is mainly due to a lack of knowledge on the social implications of autonomous capabilities and how exactly they will disrupt our cities. This viewpoint provides a snapshot of the current status of vehicle automation, the direction in which the field is moving forward, the potential impacts of systematic adoption of autonomous vehicles, and how urban planners can mitigate the built environment and land use disruption of autonomous vehicles.

scholarly journals The challenges of automobile-dependent urban transport strategy

2015 ◽  
Vol 95 (2) ◽  
pp. 75-98
Author(s):  
Miomir Jovanovic
Keyword(s):  
Economic Growth ◽  
Land Use ◽  
Urban Development ◽  
Automobile Industry ◽  
Motor Vehicle ◽  
Urban Transport ◽  
Sustainable Urban Development ◽  
Road Building ◽  
Motor Vehicle Use ◽  
Transportation Studies

The fundamental aims of sustainable urban development and the pro-automobile oriented economic development are on a collision course. It is obvious that automobile-dependent urban development is under heavy/powerful influence of the automobile lobby (automobile and oil industries, along with construction). In this domain famous land-use-transportation studies (or ?grand transportation studies?) are, unfortunately, still prevailing - a vicious circle of self-fulfilling prophecy of congestion, road building, sprawl, congestion and more road building. Until recently, it was commonly thought that investment in public transport was not economically sustainable and that focusing on the development of the automobile industry and financing the construction of roadways stimulated economic growth. In this paper we clearly show that automobile industry is now overcapitalized, less profitable than many other industries (and may become even less profitable in the future), that transport market is characterized with huge distortions (more than a third of motor-vehicle use can be explained by underpriced driving), while new road investment does not have a major impact on economic growth (especially in a region with an already well-developed infrastructure), and that pro-automobile transport strategy inexorably incurs harmful global, regional and local ecological consequences.

Experimenting with scenario-building narratives to integrate land use and transport

2021 ◽  
Vol 101 ◽  
pp. 57-70
Author(s):  
Amor Ariza-Álvarez ◽  
Julio A. Soria-Lara ◽  
Rosa M. Arce-Ruiz ◽  
María Eugenia López-Lambas ◽  
Montaña Jimenez-Espada
Keyword(s):  
Land Use ◽  
Scenario Building

Strategies for Sustainable Urban Transport: A Case Study of Cotonou, Benin

2014 ◽  
Vol 13 ◽  
pp. 9-20 ◽  
Author(s):  
Fousséni Gomina Mama ◽  
Zhong Zhen Yang ◽  
Dan Dong Xia
Keyword(s):  
Land Use ◽  
Sustainable Development ◽  
Transport System ◽  
Urban Land Use ◽  
Point Of View ◽  
Urban Transport ◽  
Sustainable Urban Development ◽  
Transport Systems ◽  
Sustainable Transport

The unrestrained growth in urbanization and motorization generally contributes to an urban land use and transport system that is socially, economically, and environmentally unsustainable. Urban mobility systems are much diversified in developing countries taking into account their components in terms of transport modes and the development path linked to the urban growth. This paper uses Cotonou as a case study, which is the largest urban and economic city of Benin. The paper first reviews literatures on sustainable transport systems to comprehend the concept of sustainable development and transport. Based on the municipal development plan (MDP) adopted by the local authorities, the paper then evaluates the existing transport policies, projects and infrastructure system, to determine if the current paradigm is moving toward or away from sustainable transport. Furthermore, the principles for sustainable urban transport are developed to see what significance municipal transport policies have given to urban transport from a sustainable transport point of view. Finally some strategies are suggested, adoption of which may lead to a sustainable urban development and transport system in the city of Cotonou.Key words: Sustainable development; urbanization; Bus Rapid Transit; socio-economic; land use and urban transport system.

scholarly journals Modeling Urban Growth and Land Use Transition Using SLEUTH Model: The Case of Dilla City, Ethiopia

2020 ◽  
Author(s):  
Yanit Mekonnen ◽  
Abel Hailu
Keyword(s):  
Land Use ◽  
Urban Development ◽  
Urban Sprawl ◽  
Urban Growth ◽  
Urban Areas ◽  
Input Image ◽  
Urban Transport ◽  
Growth Trend ◽  
Land Use Transition ◽  
Sleuth Model

Abstract Urban growth / urban sprawl are the extension of a residential region into the surrounding area. The negative face of urban development is urban sprawl, criticizing the cause of environmental deterioration, growing inequality and diminishing the viability of aesthetic and urban areas. An effective and efficient planning of urban development and changes in land use and its effects on the environment needs, among other important details, details on development trends and patterns. Over the years, several models of urban growth have been developed and used to predict trends of growth. SLEUTH models are used to simulate and predict urban growth and land use transition for 2020-2050 in the City of Dilla (Ethiopia) in the analysis of Geographic Information System (GIS). The word SLEUTH was derived from the model's input image specifications: slope, land cover, exclusion, urban, transport, and Hill shade. Input data preparation used a cumulative time series dataset of 30 years, i.e. 1989, 1999, 2009 and 2019, such as historical topographical maps and satellite imagery. The SLEUTH model uses the parameters of the best fit growth rule by narrowing coefficients in the calibration mode and passing them down to forecast potential urban growth trends, creating different probability maps and LULC maps. The models generated future urban growth pattern predicted in the 31 years' from 2019, there will be nearly 41.14% urban rise in 2020, 52.95% in 2030, 59.91% in 2040 and 64.30% in 2050. In general, the extension of the urban growth trend introduces new spreading centers that are indicative of urban growth.

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