scholarly journals Trialing a Road Lane to Bicycle Path Redesign—Changes in Travel Behavior with a Focus on Users’ Route and Mode Choice

2018 ◽  
Vol 10 (12) ◽  
pp. 4768 ◽  
Author(s):  
Miroslav Vasilev ◽  
Ray Pritchard ◽  
Thomas Jonsson
Keyword(s):  
Travel Behavior ◽  
Local Community ◽  
Average Length ◽  
Mode Choice ◽  
Application Programming Interface ◽  
Complete Streets ◽  
Road Space ◽  
Considerable Impact ◽  
Transport Problems ◽  
The Impact

Redistribution of space from private motorized vehicles to sustainable modes of transport is gaining popularity as an approach to alleviate transport problems in many cities around the world. This article investigates the impact of a trial Complete Streets project, in which road space is reallocated to bicyclists and pedestrians in Trondheim, Norway. The paper focuses on changes in the travel behavior of users of the street, with a focus on route and mode choice. In total, 719 people responded to a web-based travel survey, which also encompassed an integrated mapping Application Programming Interface (API). Amongst the findings of the survey is that the average length of the trial project that was utilized by cyclists on their most common journey through the neighborhood nearly doubled from 550 m to 929 m (p < 0.0005), suggesting that the intervention was highly attractive to bicyclists. Respondents were also asked whether they believe the trial project was positive for the local community, with the majority (87%) being positive or highly positive to the change. The intervention had a considerable impact on users’ travel behavior in terms of both frequency and choice of active transportation modes, together with leading to a change in route preferences.

The Impact of Zoning and Built Environment Characteristics on Transit, Biking, and Walking

2019 ◽  
Vol 11 (1) ◽  
pp. 108-129
Author(s):  
Andrew G. Mueller ◽  
Daniel J. Trujillo
Keyword(s):  
Land Use ◽  
Built Environment ◽  
Discrete Choice ◽  
Travel Behavior ◽  
Choice Model ◽  
Mode Choice ◽  
Land Use Regulation ◽  
Policy Action ◽  
Development Goals ◽  
The Impact

This study furthers existing research on the link between the built environment and travel behavior, particularly mode choice (auto, transit, biking, walking). While researchers have studied built environment characteristics and their impact on mode choice, none have attempted to measure the impact of zoning on travel behavior. By testing the impact of land use regulation in the form of zoning restrictions on travel behavior, this study expands the literature by incorporating an additional variable that can be changed through public policy action and may help cities promote sustainable real estate development goals. Using a unique, high-resolution travel survey dataset from Denver, Colorado, we develop a multinomial discrete choice model that addresses unobserved travel preferences by incorporating sociodemographic, built environment, and land use restriction variables. The results suggest that zoning can be tailored by cities to encourage reductions in auto usage, furthering sustainability goals in transportation.

scholarly journals Exploring the Influence of Attitudes to Walking and Cycling on Commute Mode Choice Using a Hybrid Choice Model

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Chuan Ding ◽  
Yu Chen ◽  
Jinxiao Duan ◽  
Yingrong Lu ◽  
Jianxun Cui
Keyword(s):  
Travel Behavior ◽  
Traffic Congestion ◽  
Structural Equation ◽  
Choice Model ◽  
Mode Choice ◽  
Influential Factors ◽  
Travel Mode ◽  
Travel Mode Choice ◽  
The Impact ◽  
Hybrid Choice Model

Transport-related problems, such as automobile dependence, traffic congestion, and greenhouse emissions, lead to a great burden on the environment. In developing countries like China, in order to improve the air quality, promoting sustainable travel modes to reduce the automobile usage is gradually recognized as an emerging national concern. Though there are many studies related to the physically active modes (e.g., walking and cycling), the research on the influence of attitudes to active modes on travel behavior is limited, especially in China. To fill up this gap, this paper focuses on examining the impact of attitudes to walking and cycling on commute mode choice. Using the survey data collected in China cities, an integrated discrete choice model and the structural equation model are proposed. By applying the hybrid choice model, not only the role of the latent attitude played in travel mode choice, but also the indirect effects of social factors on travel mode choice are obtained. The comparison indicates that the hybrid choice model outperforms the traditional model. This study is expected to provide a better understanding for urban planners on the influential factors of green travel modes.

Could a New Mode Alternative Modify Psycho-Attitudinal Factors and Travel Behavior?

2019 ◽  
Vol 2673 (9) ◽  
pp. 94-106
Author(s):  
Eleonora Sottile ◽  
Francesco Piras ◽  
Italo Meloni
Keyword(s):  
Travel Behavior ◽  
Latent Variables ◽  
Mode Choice ◽  
Choice Models ◽  
Individual Characteristics ◽  
Policy Implications ◽  
Light Rail ◽  
Attitudinal Factors ◽  
The Impact ◽  
Over Time

There is ample consensus that, besides objective characteristics, psycho-attitudinal factors play a key role in influencing people’s mode choice. Hybrid choice models use these theoretical frameworks so as to include latent constructs for capturing the impact of subjective factors on mode choice. But recent work in transportation research raised the question about the ability of hybrid choice models to derive policy implications that aim to change travel behavior, given the focus on cross-sectional data. To address this problem we designed a survey for collecting longitudinal data (socio-economic and psycho-attitudinal) to evaluate, on the one hand, the long-term effects on travel mode choice of the implementation of a new light rail line in the metropolitan area of Cagliari (Italy), on the other to detect any changes in the psycho-attitudinal factors and socio-economic characteristics after implementation of those measures. In particular, the objective of the study is to analyze whether these changes in individual characteristics are able to affect mode choice from a modeling perspective, through the specification and estimation of hybrid models. Our results show that latent variables were not significantly different over waves, showing that the impact of the psychological construct remained stable over time, even after the introduction of the new light rail. Additionally, we found some evidence that the variables that explain the latent variables could change over time.

scholarly journals To e-bike or not to e-bike? A study of the impact of the built environment on commute mode choice in small Chinese city

2021 ◽  
Vol 14 (1) ◽  
pp. 479-497
Author(s):  
Yang Hu ◽  
Anae Sobhani ◽  
Dick Ettema
Keyword(s):  
Built Environment ◽  
Low Income ◽  
Rural Areas ◽  
Travel Behavior ◽  
Mode Choice ◽  
Sustainable Transportation ◽  
Small Cities ◽  
Chinese City ◽  
Low Income Groups ◽  
The Impact

The use of electric bikes (e-bikes) is attracting increasing attention from researchers and policymakers as a way to promote sustainable transportation. However, knowledge about the built environment factors that influence e-bike use is lacking. In China, most evidence on e-bikes and travel behavior stems from big cities; there is much less evidence concerning small cities and their adjacent rural areas. Using travel data collected in a small Chinese city (Ganyu), the present research explores the impact of the built environment around residential and work locations on individuals’ commute mode choice, with a particular focus on e-bike use. Consistent with the few previous studies on travel behavior in small Chinese cities, we find that most residents of Ganyu commute only short distances and that the e-bike is the primary mode for their daily commutes. The results of a nested logit model show that e-bike use is more popular among females and low-income groups, and that certain built environment characteristics at the work location promote e-bike use. Moreover, the built environment in different geographical contexts has different influences on commute mode choice. In particular, the presence of city/town roads without bike lanes at work locations promotes e-bike use among rural residents but much less so among urban residents.

scholarly journals COVID-19: a pandemic to tourism guest-host relationship in India

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Parvinder Kour ◽  
Aruditya Jasrotia ◽  
Sudhanshu Gupta
Keyword(s):  
Travel Behavior ◽  
Local Community ◽  
Negative Impact ◽  
Participant Observation ◽  
Subject Area ◽  
Current Status ◽  
Content Type ◽  
The Impact ◽  
Depth Interviews

Purpose The emerging situation of pandemic due to COVID-19 has not only influenced the daily life but also the society and travel activities around the world thereby depriving tourists (especially who are already on the move) of facilities and even making them to look for desperate alternatives. Such situation in fact may draw a long-term impact on guest–host relationship while residents’ behavior reflects hostility toward the tourists. Such kind of interactions contributes toward tourists’ perception and experience about the destination and its services thereby affecting their level of acceptance and tolerance for tour and travel activities (Armenski et al., 2011). Moreover, the guest–host relationship has mostly been studied with perspective of and focus on residents/host and not enough on tourists (Skipper, 2009; Vargas-Sánchez et al., 2014). Keeping this in view, this paper aims to analyze the impact of pandemic situation on guest–host relationship and its future impact on travel intentions among the tourists in India. Design/methodology/approach The study undertakes the help of in-depth interviews and extracting themes to understand the guest–host relationship and the perspective of tourists in challenging times like COVID-19 and its impact on the relationship. The secondary sources have been adopted to retrieve the data related to current status of travel industry in India. In-depth interviews were conducted online to gather data for the qualitative analysis regarding the research. Further, the data has been analyzed for retrieving a dimensional approach to subject area. Findings The data from participant observation showed that the hosts displayed panic, mistrust and irresponsible behavior toward the guests, and this clearly indicates that the pandemic situation has a highly negative impact on the image of the community and the destination. This ultimately affects the guest–hosts relationships in the long term. Most of the tourists showed that they were okay with following the rules and respect local culture but were expecting support from local community during distress. It was found that there were two female tourists who were asked to vacate the accommodation, which can be considered as an inappropriate and extreme behavior. Thus, COVID-19 is not only causing a threat to the tourism presently but will have a prolonged influence on guest–host relationship as negative interaction or experiences are supposed to be frequently radiated by the tourists (de Albuquerque and McElroy, 2001). Originality/value There is no dearth of studies focusing on travel behavior dimensions, whereas the linkage of residents’ behavior toward it still requires much consideration and analyzing simultaneously. The study looks into the area of guest–host relationship and tries to explore it from the perspective and significance of tourist (guest) rather than the much read and researched resident (host) perception at the center. The findings of the study could be helpful in drawing the strategic framework for the industry to handle and sustain the guest–host relation so as to safeguard the future of tourism and sustain potential travel market reiterating the significance of tourists/guests and their perspective about the hosts, in developing and growing the tourism of a destination.

scholarly journals Sustainable Mobility Policy Analysis Using Hybrid Choice Models: Is It the Right Choice?

2021 ◽  
Vol 13 (5) ◽  
pp. 2993
Author(s):  
Gustavo García-Melero ◽  
Rubén Sainz-González ◽  
Pablo Coto-Millán ◽  
Alejandra Valencia-Vásquez
Keyword(s):  
Policy Analysis ◽  
Public Transportation ◽  
Travel Behavior ◽  
Latent Variables ◽  
Mode Choice ◽  
Choice Models ◽  
Sensitivity Study ◽  
Sustainable Mobility ◽  
Explanatory Variables ◽  
The Impact

In recent years, sustainable mobility policy analysis has used Hybrid Choice Models (HCM) by incorporating latent variables in the mode choice models. However, the impact on policy analysis outcomes has not yet been determined with certainty. This paper aims to measure the effect of HCM on sustainable mobility policy analysis compared to traditional models without latent variables. To this end, we performed mode choice research in the city of Santander, Spain. We identified two latent variables—Safety and Comfort—and incorporated them as explanatory variables in the HCM. Later, we conducted a sensitivity study for sustainable mobility policy analysis by simulating different policy scenarios. We found that the HCM amplified the impact of sustainable mobility policies on the modal shares, and provided an excessive reaction in the individuals’ travel behavior. Thus, the HCM overrated the impact of sustainable mobility policies on the modal switch. Likewise, for all of the mode choice models, policies that promoted public transportation were more effective in increasing bus modal shares than those that penalized private vehicles. In short, we concluded that sustainable mobility policy analysis should use HCM prudently, and should not set them as the best models beforehand.

scholarly journals THE IMPACT OF RURAL TOURISM ON THE LOCAL COMMUNITY DEVELOPMENT

2019 ◽  
Vol 4 (16) ◽  
pp. 39-55
Author(s):  
Rohayu Ab. Majid ◽  
Rosli Said ◽  
Noraliza Basrah ◽  
Norbaya Ab Rahim
Keyword(s):  
Community Development ◽  
Local Community ◽  
Theoretical Framework ◽  
Rural Tourism ◽  
The Other ◽  
Cultural Impact ◽  
Demographic Profile ◽  
Considerable Impact ◽  
Main Components ◽  
The Impact

Rural tourism activities are actively and increasingly pursued. Organizing various programs and activities of interest in rural tourism activities has sparked a great phenomenon to the outside community. However, this activity has a considerable impact on various communities, whether negative or positive. The purpose of this paper was to identify the extent to which this impact exists in a rural tourism area in the district of Kuala Selangor, Malaysia. The theoretical framework has generated four main components of impact and 26 sub-components. A total of 200 respondents were interviewed. The results found that 21 elements are statistically significant. It also highlights the correlation between these elements and the demographic profile. Overall, the cultural impact is more significant than the other impact such as economic, social and environmental.

THE IMPACT OF DECENTRALIZATION ON THE DEVELOPMENT OF ENTREPRENEURSHIP IN UKRAINE

2017 ◽  
Author(s):  
Lyudmyla Mishchenko ◽  
◽  
Dmytro Mishchenko ◽  
Keyword(s):  
Social Entrepreneurship ◽  
Local Governments ◽  
Poverty Reduction ◽  
Social Protection ◽  
Local Community ◽  
Well Being ◽  
Economic Incentives ◽  
Social Enterprises ◽  
Infrastructural Support ◽  
The Impact

The actualization of the results of financial decentralization in Ukraine as part of the reform of decentralization of power and the development of proposals for its improvement is explained by the fact that a clear division of functions, powers and financial resources between national and regional levels is the basis for the well-being of our citizens. opportunities for its sustainable socio- economic development on a democratic basis. It is noted that financial decentralization is a process of giving authority to mobilize revenues and expenditures of local governments in order to increase the effectiveness of the implementation of these powers and better management of community budgets. It is established that unlike traditional entrepreneurship, which focuses on profit generation, the purpose of social entrepreneurship is to create and accumulate social capital. Abroad, social enterprises operate successfully in the fields of education, the environment, human rights, poverty reduction and health care, and their development and dissemination is one way to improve the living conditions of citizens. A similar mission is entrusted to local governments, which allows us to consider the revival of social entrepreneurship as an important element in improving self-government policy. It is determined that in modern conditions social entrepreneurship is one of the tools to ensure the ability of the local community to provide its members with an appropriate level of education, culture, health, housing and communal services, social protection, etc., as well as plan and implement programs efficient use of available natural and human resources, investment and infrastructural support of territorial communities. Due to financial decentralization, local governments have received additional resources that can be used to create economic incentives to promote social entrepreneurship in small and medium-sized businesses at the community level.

scholarly journals A Study of Taxi Service Mode Choice Based on Evolutionary Game Theory

2019 ◽  
Vol 2019 ◽  
pp. 1-17
Author(s):  
Zhu Bai ◽  
Mingxia Huang ◽  
Shuai Bian ◽  
Huandong Wu
Keyword(s):  
Game Theory ◽  
Evolutionary Game Theory ◽  
Mode Choice ◽  
Evolutionary Game ◽  
Payoff Matrix ◽  
Game Model ◽  
Stable States ◽  
Taxi Service ◽  
Service Mode ◽  
The Impact

The emergence of online car-hailing service provides an innovative approach to vehicle booking but has negatively influenced the taxi industry in China. This paper modeled taxi service mode choice based on evolutionary game theory (EGT). The modes included the dispatching and online car-hailing modes. We constructed an EGT framework, including determining the strategies and the payoff matrix. We introduced different behaviors, including taxi company management, driver operation, and passenger choice. This allowed us to model the impact of these behaviors on the evolving process of service mode choice. The results show that adjustments in taxi company, driver, and passenger behaviors impact the evolutionary path and convergence speed of our evolutionary game model. However, it also reveals that, regardless of adjustments, the stable states in the game model remain unchanged. The conclusion provides a basis for studying taxi system operation and management.

scholarly journals The impacts of mediating the work environment on the mode choice in work trips

2021 ◽  
Vol 11 (1) ◽  
pp. 592-605
Author(s):  
Melchior Bria ◽  
Ludfi Djakfar ◽  
Achmad Wicaksono
Keyword(s):  
Work Environment ◽  
Public Transportation ◽  
Travel Behavior ◽  
Structural Equation ◽  
Mode Choice ◽  
Equation Modeling ◽  
Rapid Transit ◽  
Long Time ◽  
Socio Economic Variables ◽  
The Relationship

Abstract The impacts of work characteristics on travel mode choice behavior has been studied for a long time, focusing on the work type, income, duration, and working time. However, there are no comprehensive studies on the influence of travel behavior. Therefore, this study examines the influence of work environment as a mediator of socio-economic variables, trip characteristics, transportation infrastructure and services, the environment and choice of transportation mode on work trips. The mode of transportation consists of three variables, including public transportation (bus rapid transit and mass rapid transit), private vehicles (cars and motorbikes), and online transportation (online taxis and motorbike taxis online). Multivariate analysis using the partial least squares-structural equation modeling method was used to explain the relationship between variables in the model. According to the results, the mediating impact of work environment is significant on transportation choices only for environmental variables. The mediating mode choice effect is negative for public transportation and complimentary for private vehicles and online transportation. Other variables directly affect mode choice, including the influence of work environment.

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