Disaggregated Car Fleets in Microscopic Travel Demand Modelling

Heinrichs, Matthias; Krajzewicz, Daniel; Cyganski, Rita; Schmidt, Antje von

doi:10.1016/j.procs.2016.04.111

Cited by 12 publications

(5 citation statements)

References 2 publications

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“…They built on a case study of Berlin in the future (i.e., 2030). They used an agent-based transport model named TAPAS [29] for the passenger simulation. They removed a percentage of trips (i.e., 3% and 10%) equivalent to the assumed decrease in passenger demand due to a reduction in shopping trips.…”

Section: Germanymentioning

confidence: 99%

Land Efficient Mobility and Emissions: Click and Collect vs. Grocery Deliveries in Switzerland

2023

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Online grocery shopping is an emerging market. It caused visible growth in last mile delivery services, which has resulted in concerns about its external effects (e.g., pollution, land use, congestion). The study outlined in this paper proposes a grocery delivery concept where goods are transported by train to the customer’s nearest station, and then the consumer either picks up the groceries (i.e., click and collect) or the goods are delivered to the customer’s home, or to a locker. The focus of this paper is primarily based on the last mile delivery part of the supply chain (i.e., from the train station to the customer). The land use efficiency and emissions of each delivery concept have been evaluated based on the time-area concept and the Handbook Emission Factors for Road Transport (HBEFA 4.1), respectively. This large-scale simulation considers every household in Switzerland with various levels of demand and supermarket network densities. Two machine learning techniques (i.e., random forest and decision tree) have been used to categorise all neighbourhoods within Switzerland based on the best delivery method in terms of emissions and land efficiency. The results show that, depending on the scenarios (e.g., 10 or 100% of the households taking part), home delivery can be better for 76–89% of these communities when compared with a click and collect option based on their land use efficiency.

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Section: Germanymentioning

confidence: 99%

Land Efficient Mobility and Emissions: Click and Collect vs. Grocery Deliveries in Switzerland

2023

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“…In order to determine the mobility demand for private users, we use the Travel and Activity Patterns Simulation (TAPAS) model [31]. This demand model utilizes a synthetic population, which represents a realistic representation of the population from different data sources accounting for socio-economic and demographic characteristics of persons and households.…”

Section: Private Usersmentioning

confidence: 99%

Estimating Public Charging Demand of Electric Vehicles

Hardinghaus

Seidel²,

Anderson

2019

Sustainability

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Electric vehicles require sufficient public charging infrastructure. This in turn necessitates detailed information on charging demand. In this paper we present a four-step approach to estimating public charging demand of electric vehicles. Previous methods are limited in their ability to provide differentiated results and adapt to future developments. Therefore, we account for user groups (private, carsharing, commercial), technical developments (vehicles, infrastructure), infrastructure availability, and carsharing development (operational area, business models, autonomous vehicles). Our approach also considers the interactions between these factors and allows for scenario analysis yielding the quantity and spatial distribution of public charging demand. We demonstrate our approach for Berlin, Germany. We find that the majority of public charging demand results from carsharing. This demand is concentrated in the city center, even when carsharing is available citywide. Public charging demand for commercial users is relatively low and located outside the city center. For private users, public charging demand shifts to the city center with an increasing market penetration of electric vehicles and technological advancements (increased range, charging speed). Public demand from private users increases dramatically when private infrastructure is absent. Finally, public charging demand shifts to the city center when private users do not have private infrastructure.

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“…This section presents the microscopic activity-based travel demand model called Travel Activity PAttern Simulation (TAPAS) [8,9]. Figure 1 shows the general mode of operation of the simulation model which consists of four parts: population generation, activity generation, location choice and mode choice.…”

Section: Proposed Modelmentioning

confidence: 99%

Introduction of car sharing into existing car fleets in microscopic travel demand modelling

Heinrichs

Krajzewicz

Cyganski

et al. 2017

Pers Ubiquit Comput

Self Cite

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Microscopic travel demand models take the characteristics of every individual person of the modelled population into account for computing the travel demand for the modelled region. Car sharing is an old concept, but the combination of a car sharing fleet parked in public space with smartphone services to find available cars nearby offers a new mobility service. It enables people to use a fleet operator's cars by providing individual mobility on demand. However, integrating this mobility option into microscopic travel demand models still is a difficult task due to a lack of data. This paper shows an integrated approach to model car sharing as a new mode for transport within a travel demand model using disaggregated car fleets with car-specific attributes. The necessary parameters for mode choice are estimated from various surveys and integrated into an existing multi-nominal logit model. The proposed work is used to simulate the travel demand of a synthetic population for the German capital of Berlin. A comparison with the survey results shows that the proposed integration of car sharing meets the real-world data. Furthermore, it is shown that the mode choice reacts well for access restrictions for specific car segments and local accessibility influencing the trip lengths.

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Disaggregated Car Fleets in Microscopic Travel Demand Modelling

Cited by 12 publications

References 2 publications

Land Efficient Mobility and Emissions: Click and Collect vs. Grocery Deliveries in Switzerland

Land Efficient Mobility and Emissions: Click and Collect vs. Grocery Deliveries in Switzerland

Estimating Public Charging Demand of Electric Vehicles

Introduction of car sharing into existing car fleets in microscopic travel demand modelling

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