Spatial patterns of travel behaviour in Poland

Bartosiewicz, Bartosz; Pielesiak, Iwona

doi:10.1016/j.tbs.2019.01.004

Cited by 31 publications

(18 citation statements)

References 22 publications

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“…We can expect that this has increased the number of trips made by bike by the citizens of Łódź. On the other hand, the results of a recent study for Polish cities show that the share of bike trips remains low in Poland compared to Western Europe (Bartosiewicz, Pielesiak, 2019) The contribution of this study is mainly the specific dataset it uses in the empirical exercise. The data were taken from a sociological study that allowed us to examine a broader set of explanatory variables than in traditional travel behaviour studies.…”

Section: Discussionmentioning

confidence: 99%

The determinants of travel mode choice: the case of Łódź, Poland

Wójcik

2019

Bulletin of Geography. Socio-Economic Series

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In this study, potential factors influencing the decisions made by citizens of the city of Łódź, Poland, regarding the choice of transportation mode used in their daily travel activities were examined. In addition to a brief literature review, an empirical study was performed. Data from a previous quality-of-life study were used to enhance the scope of explanatory variables in a regression model. In order to identify the determinants of travel behaviour, binary logistic regression models were used. The results show that socio-demographic characteristics of respondents and household access to a car most influenced transport mode choices. Also, the relationship between geographic distances and subjective opinions regarding public transport were found to be statistically significant. The determinants for choosing either public or private transportation varied.

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Section: Discussionmentioning

confidence: 99%

The determinants of travel mode choice: the case of Łódź, Poland

Wójcik

2019

Bulletin of Geography. Socio-Economic Series

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“…In addition to different behaviour of different age groups, the residential district and availability of public transport have been shown to have a significant impact on car ownership and use. Indeed, car usage is less prevalent in urban areas compared to rural areas [7,33]. Various studies have seen the level of service of public transport as a factor in reducing car ownership, but the estimates given for the scale of the impact vary.…”

Section: Effects Of Public Transport and Maas On Car Ownershipmentioning

confidence: 99%

The Effects of Mobility as a Service and Autonomous Vehicles on People’s Willingness to Own a Car in the Future

et al. 2021

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Car ownership is one of the key factors affecting travel behaviour and thus also essential in terms of sustainable mobility. This study examines car ownership and how people’s willingness to own a car may change in the future, when considering the effects of public transport, Mobility as a Service (MaaS) and automated vehicles (AVs). Results of two citizen surveys conducted with representative samples (NAV-survey = 2036; NMaaS-survey = 1176) of Finns aged 18–64 are presented. The results show that 39% of respondents would not want or need to own a car if public transport connections were good enough, 58% if the described mobility service was available and 65% if all vehicles in traffic were automated. Hence, car ownership can decrease as a result of the implementation of AVs and MaaS, and higher public transport quality of service. Current mobility behaviour has a strong correlation to car ownership, as respondents who use public transport frequently feel less of a will or need to own a car than others. Generally, women and younger people feel less of a will or need to own a car, but factors such as educational level and residential location seem to have a relatively low effect.

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“…Generally, some factors (e.g., the length of a route, the transfer time and the weather condition) may affect the route choice of passengers [37], [38]. In this paper, if there are more than one routes from v i to v j , the route will be selected according to the behaviors and purposes of passenger travel [39], [40], such as the shortest route [41], the minimum number of transfer and the shortest transfer time. If there are still more than one routes that meet the above screening criteria, the route will be the one randomly selected from them.…”

Section: A Temporal Subway Network 1) Formulation Of Temporal Subwaymentioning

confidence: 99%

Dynamic Robustness Analysis for Subway Network With Spatiotemporal Characteristic of Passenger Flow

et al. 2020

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The robustness is a crucial and essential problem of a subway network (SN), which can help us improve the efficiency of a transportation system. Several existing researches have analyzed the SN robustness based on the rail structure or the static distribution of passenger flow. However, the spatiotemporal characteristic of passenger flow also plays an important role in the SN robustness, since it can trigger some unexpected cascading failures in SN. Therefore, how to characterize the effect of this cascading failure on the SN robustness still remains an important and open problem. In this paper, we address the above problem as follows: (1) we propose a temporal subway network (TSN) to consider the dynamics of passenger flow in SN; (2) we adopt the linear threshold (LT) model to simulate the cascading failure process of TSN and propose a new robustness metric R(t) to evaluate the effect of this cascading failure on SN robustness. Based on the Shanghai subway smart card data, we carry out extensive experiments to analyze the effects of the cascading failure on the Shanghai SN robustness. Experiments show that the Shanghai TSN robustness varies over time. More significantly, the large volume of passenger flow can increase the impact of failure modes (i.e., random and malicious failure modes) on the Shanghai TSN robustness. INDEX TERMS Subway network, robustness, dynamic passenger flow, cascading failure.

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Spatial patterns of travel behaviour in Poland

Cited by 31 publications

References 22 publications

The determinants of travel mode choice: the case of Łódź, Poland

The determinants of travel mode choice: the case of Łódź, Poland

The Effects of Mobility as a Service and Autonomous Vehicles on People’s Willingness to Own a Car in the Future

Dynamic Robustness Analysis for Subway Network With Spatiotemporal Characteristic of Passenger Flow

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