Ridesharing in urban areas: multi-objective optimisation approach for ride-matching and routeing with commuters’ dynamic mode choice

Author(s):  
Lei Guan ◽  
Jun Pei ◽  
Xinbao Liu ◽  
Zhiping Zhou ◽  
Panos M. Pardalos
2021 ◽  
Vol 13 (10) ◽  
pp. 5591
Author(s):  
Mark Muller ◽  
Seri Park ◽  
Ross Lee ◽  
Brett Fusco ◽  
Gonçalo Homem de Almeida Correia

Mobility as a Service (MaaS) is an emerging concept that is being advanced as an effective approach to improve the sustainability of mobility, especially in densely populated urban areas. MaaS can be defined as the integration of various transport modes into a single service, accessible on demand, via a seamless digital planning and payment application. Recent studies have shown the potential reduction in the size of automobile fleets, with corresponding predicted improvements in congestion and environmental impact, that might be realized by the advent of automated vehicles as part of future MaaS systems. However, the limiting assumptions made by these studies point to the difficult challenge of predicting how the complex interactions of user demographics and mode choice, vehicle automation, and governance models will impact sustainable mobility. The work documented in this paper focused on identifying available methodologies for assessing the sustainability impact of potential MaaS implementations from a whole system (STEEP—social, technical, economic, environmental, and political) perspective. In this research, a review was conducted of current simulation tools and models, relative to their ability to support transportation planners, to assess the MaaS concept, holistically, at a city level. The results presented include: a summary of the literature review, a weighted ranking of relevant transportation simulation tools per the assessment criteria, and identification of key gaps in the current state of the art. The gaps include capturing the interaction of demographic changes, mode choice, induced demand, and land use in a single framework that can rapidly explore the impact of alternative MaaS scenarios, on sustainable mobility, for a given city region. These gaps will guide future assessment methodologies for urban mobility systems, and ultimately assist informed decision-making.


2020 ◽  
Author(s):  
S Chandrasekhar ◽  
Ajay Sharma ◽  
Sumit Mishra

Using the first ever available information in Census of India 2011, covering 640 sub-national units (districts) in India, we analyze the correlates of modes of transport used by non-agricultural workers at the regional level covering both rural and urban areas. Providing a holistic picture from the perspective policy and academic perspective, we bring out some key stylized facts. Further, using the Seemingly Unrelated Regression (SUR) estimation, we model the transport mode choice for commuting by the workers in the context of rural and urban India, and further extend it based on distinction in motorized and non-motorized transport modes. We find that urbanization level, population size and density along with education attainment and worker’s sex ratio (gender ratio among workers), age (elderly) and land use mix play very important role in regional pattern in transport mode choice for commuting. These results highlight the dire need for proper development of transport infrastructure and understanding its various dimensions from socio-economic, demographic and spatial point of view in the context of developing countries.


2020 ◽  
Vol 267 ◽  
pp. 122189 ◽  
Author(s):  
Mehrdad Ghorbani Mooselu ◽  
Mohammad Reza Nikoo ◽  
Morvarid Latifi ◽  
Mojtaba Sadegh ◽  
Malik Al-Wardy ◽  
...  

Author(s):  
Gordon W. Schultz ◽  
William G. Allen

Non-home-based (NHB) trip making typically accounts for about 25 to 30 percent of travel by individuals in urban areas. However, the NHB trip purpose is usually treated as a large unknown category, and little attention is paid to the nature of these trips. An effort to better understand the characteristics of NHB trips by subdividing the NHB trip category is described. It is hoped that this effort will serve as a useful precursor to improving the analysis of trip chaining behavior. By definition, NHB trips are almost always part of a chain of trips that usually starts or ends at the trip maker's place of residence or work. By examining this chain more closely, it is possible to group NHB trips into two or three categories. More detailed analysis of these categories reveals that they have very different trip length, mode choice, and time of day characteristics. Making this subdivision improves the accuracy of the model, increases the sensitivity of the forecast to important factors, and provides a greater understanding of trip chaining behavior.


Water ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 2010 ◽  
Author(s):  
Hao-Che Ho ◽  
Shih-Wei Lin ◽  
Hong-Yuan Lee ◽  
Cheng-Chia Huang

Sustainability and resilience are up-to-date considerations for urban developments in terms of flood mitigation. These considerations usually pose a new challenge to the urban planner because the achievement of a sustainable design through low impact development (LID) practices would be affected by the selection and the distribution of them. This study proposed a means to optimize the distribution of LIDs with the concept of considering the reduction of the flood peak and the hydrologic footprint residence (HFR). The study region is a densely populated place located in New Taipei City. This place has been developing for more than 40 years with completive sewer systems; therefore, the design must consider the space limitations. The flood reduction induced by each LID component under different rainfall return periods was estimated, and then the detention ponds were also conducted to compare the improvements. The results showed that the performance of LIDs dramatically decreased when the return periods were larger than ten years. A multi-objective genetic algorithm (MOGA) was then applied to optimize the spatial distribution of LIDs under different budget scenarios, and to decide the priority of locations for the LID configuration. Finally, the Monte Carlo test was used to test the relationship between the optimal space configuration of LIDs and the impermeability of the study region. A positive correlation was uncovered between the optimal allocation ratio and the impermeable rate of the partition. The study results can provide general guidelines for urban planners to design LIDs in urban areas.


2017 ◽  
Vol 9 (2) ◽  
pp. 254 ◽  
Author(s):  
Matteo Mallus ◽  
Giuseppe Colistra ◽  
Luigi Atzori ◽  
Maurizio Murroni ◽  
Virginia Pilloni
Keyword(s):  

Sign in / Sign up

Export Citation Format

Share Document