The Effect of Distance Intervals on Walking Likelihood in Different Trip Purposes

Macioszek, Elżbieta; Karami, Ali; Farzin, Iman; Abbasi, Mohammadhossein; Mamdoohi, Amir Reza; Piccioni, Cristiana

doi:10.3390/su14063406

Cited by 14 publications

(7 citation statements)

References 42 publications

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“…The majority of the research highlighted the importance of the built environment on pedestrian behaviors [28][29][30]. Distance also affects the pedestrian behaviors [26,31]. To consider LU diversity, population density, commercial density, and intersection density in research, Peiravian et al introduced a pedestrian environment index [32].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Discretionary walking, which refers to walking trips undertaken for leisure, recreational, or non-essential purposes, has emerged as a focal point in transportation research [27]. This trend has been observed in recent studies such as those conducted by Macioszek et al, which underscores the importance of understanding and promoting discretionary walking within urban environments [31]. Regarding the aforementioned importance of discretionary trips, limited studies have demonstrated the influence factors that influence these trips.…”

Section: Literature Reviewmentioning

confidence: 99%

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The Influence of Origin Attributes on the Destination Choice of Discretionary Home-Based Walk Trips

Aghidi Kheyrabadi,

Mamdoohi

2024

IJGI

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Walking has been recognized as an important mode of transportation in recent years, and recent research has improved travel demand models for walk trips. One important added stage is the distribution of walk trips, which can be evaluated using destination choice models. Previous studies have overlooked the importance of origin trip attributes in the destination choice of walk trips. With the aim of improving destination choice models for discretionary home-based walk trips, a questionnaire based on the previous day’s walk trips was used, and 422 trips were collected from individuals. A discrete choice logit model is used for discretionary trips by utilizing policy-related variables, such as origin-sensitive variables, land-use-related variables, and socio-economic conditions of individuals. Additionally, a solution is proposed to address the issue of data scarcity in considering the choice set. The results demonstrate that origin land-use (LU) variables, such as LU diversity index and access to green spaces, as well as socio-economic variables, like age and homeownership status, are statistically significant in the destination choice of discretionary home-based walk trips. One prominent result is that reducing the diversity of unattractive LU compared to increasing the diversity of attractive LU has a greater impact on the destination choice of such trips. Specifically, a 1% increase in the diversity of attractive LU in the origin area leads to a 0.031% increase in the probability of choosing a destination within that area, while a 1% decrease in the diversity of unattractive LU results in a 0.124% increase in the probability of choosing a destination within the area. The findings can be utilized in urban LU distribution and assessing their impact on destination choice for walk trips, ultimately informing future urban planning efforts in the context of pedestrian mobility.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

The Influence of Origin Attributes on the Destination Choice of Discretionary Home-Based Walk Trips

Aghidi Kheyrabadi,

Mamdoohi

2024

IJGI

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“…Besides travel-related characteristics, it was found that individual characteristics and attitudes significantly affect travel mode choice. Variables such as age, gender, car ownership and income are often considered as influential variables on people's choices (Chatterjee, 2011;Mackett & Sutcliffe, 2003;Popuri et al, 2011;Macioszek et al, 2022).…”

Section: Literature Reviewmentioning

confidence: 99%

Modal shift behavior of car users to light rail transit, some evidence from the field

Abbasi¹,

Mamdoohi²,

Arndt³

2023

ToTS

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Growing population and car dependency in developing countries have led to congestion that adversely affects the environment, travel time, trip cost, accidents, and public transportation reliability. Through implementation of travel demand management (TDM) policies, governments and policymakers aim to reduce private vehicle dependency and encourage people to use public transportation. Light rail transit is an important part of an attractive public transport. Rail transportation systems, though offer many potential benefits, are a major financial challenge for governments because of the high capital and operation costs. Therefore, passenger behavior must be determined before a new system is introduced. Using a stated preference (SP) questionnaire, private car users' behavior in Tehran's universities has been investigated to determine the explanatory factors affecting the modal shift to urban light rail transit (LRT). A binary logit model estimation results showed that men are less likely than women to shift toward LRT because they rely more on their private cars. It was the provision of free on-street parking at destinations and the frequency of using private cars on a weekly basis that had the most negative effect on LRT modal shift, demonstrating the critical role that implementation of TDM policies could play. Moreover, reduction in travel time by LRT has the most positive impact on modal shift toward LRT among private car users. As an interesting finding, marginal effect values indicate that a 10% reduction in travel time (0.32) has a greater impact than the possibility of sitting 50% of the travel time (0.25) on the likelihood of modal shift to LRT. Furthermore, the probability of modal shift to LRT will be reduced by 0.12 units for each unit increase in car ownership. In addition, owning a driver's license was also negatively correlated with LRT modal shift and decreased the likelihood by 0.27. This research will facilitate the decision-making and planning for future transportation systems to increase LRT's utility for potential users.

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“…Hence, contradictory findings highlight the need for a more comprehensive examination of travel behavior, preference for transit, and private car users' shift to SAVs. In addition, a precise study of individuals' preferences and attitudes is widely recognized as being essential for the successful implementation of any policy [25].…”

Section: Introductionmentioning

confidence: 99%

The Role of Attitude, Travel-Related, and Socioeconomic Characteristics in Modal Shift to Shared Autonomous Vehicles with Ride Sharing

Kashani

Abbasi

Mamdoohi

et al. 2023

WEVJ

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The integration of automation and shared mobility services would significantly affect transportation demand, especially mode choice. However, little is known about how attitudes, travel attributes, and demographic factors affect the modal shift to shared autonomous vehicles (SAVs). A stated preference survey was designed to determine the preferences of car and transit users in relation to a modal shift to SAVs. The binary logit models’ results revealed distinct behavior patterns and systematic heterogeneity among transit and private car users based on a representative sample of 607 individuals in 2021. The shifting behavior of both users is positively affected by attitudinal factors, including consumer innovativeness, perceived usefulness, sharing intention, and ecological awareness, while negatively affected by privacy concerns. In terms of travel-related attributes of SAVs, car users are eight times more sensitive to waiting times compared to transit users, who are three times more concerned with travel costs. Further, privacy concerns, the number of passengers sharing a trip, and the ratio of waiting time to travel time of SAVs were the major barriers to shifting the likelihood of car users’ behavior. In light of these findings, based on the likely effects of SAVs on shifting behavior, a number of practical implications are suggested for more effective policy making.

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The Effect of Distance Intervals on Walking Likelihood in Different Trip Purposes

Cited by 14 publications

References 42 publications

The Influence of Origin Attributes on the Destination Choice of Discretionary Home-Based Walk Trips

The Influence of Origin Attributes on the Destination Choice of Discretionary Home-Based Walk Trips

Modal shift behavior of car users to light rail transit, some evidence from the field

The Role of Attitude, Travel-Related, and Socioeconomic Characteristics in Modal Shift to Shared Autonomous Vehicles with Ride Sharing

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