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Joint analysis of urban shopping destination and travel mode choice accounting for potential spatial correlation between alternatives

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Journal of Central South University 2014年第8期21卷 3378-3385页

作者：林姚宇丁川王耀武刘超崔愉晨 Sabyasachee Mishra Shenzhen Key Laboratory of Urban Planning and Decision Making Simulation(Shenzhen Graduate School Harbin Institute of Technology) School of Architecture Harbin Institute of Technology National Center for Smart Growth Research and Education University of Maryland Department of Civil Engineering University of Memphis

In recent years,there have been important developments in the joint analysis of the travel behavior based on discrete choice models as well as in the formulation of increasingly flexible closed-form models belonging to the generalized extreme value *** objective of this work is to describe the simultaneous choice of shopping destination and travel-to-shop mode in downtown area by making use of the cross-nested logit(CNL) structure that allows for potential spatial *** analysis uses data collected in the downtown areas of Maryland-Washington,*** for shopping trips,considering household,individual,land use,and travel-related *** estimation results show that the dissimilarity parameter in the CNL model is 0.37 and significant at the 95% level,indicating that the alternatives have high spatial correlation for the short shopping *** results of analysis reveal detailed significant influences on travel behavior of joint choice shopping destination and travel ***,a Monte Carlo simulation for a group of scenarios arising from transportation policies and parking fees in downtown area,was undertaken to examine the impact of a change in car travel cost on the shopping destination and travel mode *** findings have important implications for transportation demand management and urban planning.

关键词： shopping destination travel mode choice joint choice cross-nested logit Monte Carlo simulation

Kriging Geostatistical Methods for travel mode choice: A Spatial Data Analysis to travel Demand Forecasting

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Open Journal of Statistics 2016年第3期6卷 514-527页

作者： Viviani Antunes Gomes Cira Souza Pitombo Samille Santos Rocha Ana Rita Salgueiro Department of Transportation Engineering University of S&atilde o Paulo S&atilde o Carlos Brazil Department of Geology Federal University of Ceará Fortaleza Brazil

This paper aims to compare the results of two techniques of Kriging (Ordinary Kriging and Indicator Kriging) that are applied to estimate the Private Motorized (PM) travel mode use (car or motorcycle) in several geographical coordinates of non-sampled values of the concerning variable. The data used was from the Origin/Destination and Public Transportation Opinion Survey, carried out in 2007/2008 at S?o Carlos (SP, Brazil). The techniques were applied in the region with 110 sample points (households). Initially, Decision Tree was applied to estimate the probability of mode choice in surveyed households, thus determining the numeric variable to be used in Ordinary Kriging. For application of Indicator Kriging it was used the variable “main travel mode” in a discrete manner, where “1” represented the use of PM travel mode and “0” characterized others travel modes. The results obtained by the two spatial estimation techniques were similar (Kriging maps and cross-validation procedure). However, the Indicator Kriging (KI) obtained the highest number of hit rates. In addition, with the KI it was possible to use the variable in its original form, avoiding error propagation. Finally, it was concluded that spatial statistics was thriving in travel demand forecasting issues, giving rise, for the both Kriging methods, to a travel mode choice surface on a confirmatory way.

关键词： Geostatistics Kriging travel mode choice Spatial Estimation

PUBLIC TRANSPORT SERVICE LEVEL INFLUENCE ON travel mode choice

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PUBLIC TRANSPORT SERVICE LEVEL INFLUENCE ON TRAVEL MODE CHOI...

Children’s Everyday School travel and mode choice in a Post Socialist city:the case of Riga,Latvia

第一届交通运输工程国际学术会议

作者： Xuemei ZHOU1 Xiaoguang YANG2 and Yunteng LAO3 1School of Transportation Engineering Tongji University Shanghai 200092 2 School of Transportation Engineering Tongji University Shanghai 200092 3 School of Transportation Engineering Tongji University Shanghai 200092

travel mode choice model is important part of transportation demand forecasting, it can forecast mode split under different economic condition of a city, and provided actual evidence and reference for transportation strategy. According to Stated Preference Survey and overseas study result, in this paper we discuss eight evaluation criteria that determine the effects of public transport choice based on the analysis of travel mode choice characteristic of china people, survey criteria taxis, and realize the traveler’s attitude and perceptions. We accomplish the survey of public transport travel characteristic and sensitivity of public service level, and obtain surveyed data of travel mode choice characteristic. Structural equation analysis is applied based on surveyed data of Cixi and Xiamen in China. Calculation results are analyzed by the fact and improvement strategy of public transport.

关键词： travel mode choice public transport service level travel behavior

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Children’s Everyday School Travel and Mode Choice in a Post...

Research on choice of travel mode model based on Naive Bayesian Method

2012 2nd International Conference on Social Science and Humanity（ICSSH 2012）

作者： Girts Burgmanis University of Latvia Faculty of Geography and Earth Sciences

In the last two decades transformation processes of a city and rapid automobilization changed mobility and commuting patterns over the world and also in the post-socialist *** commuting is extensively studied in post-socialist cities,in the context of these changes there is still little known about children’s everyday mobility and travel *** aim of this study is to analyze daily mobility and travel mode choice of children aged 12 to 17 for school *** study was carried out in Riga,Latvia which represents the case of a post socialist *** this paper,drawing on results from children’s survey analysed by multinominal logistic regression,the study identifies that changes in structure of population distribution and functional structure of a city affect travel distances to school increasing public transport and car use for school trips and decline in young people’s *** results also show that family driving habits and age affect young people’s commuting patterns to school and choice of private auto as the main transportation mode.

关键词： children post-socialist city travel mode choice school trip Riga

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Research on Choice of Travel Mode Model based on Naive Bayes...

Integrated Network Design and Demand Forecast for On-Demand Urban Air Mobility

2011 International Conference on Business Management and Electronic Information(BMEI 2011)

作者： Wei-tiao Wu Wen-zhou Jin Pei-qun Lin School of Civil and Transportation South China University of Technology Guangzhou China

Since the individual travel mode choice behavior of urban residents has a direct influence on traffic structure, the research on it can provide the scientific basis for the urban planning and the transportation policy making. Considering the close relation between the traveler’s characteristics and the travel mode choices, this paper deals specially with this issue based on Naive Bayesian Method. Besides, by taking the resident trip survey in Jiangmen for example and discretizing the journey characteristic variables, constructs a model to choose resident model, which has great impact on travel mode choice and provides guidance for the traffic demand forecast and the management.

关键词： urban traffic travel mode choice Naive Bayesian Method traffic plan attributive character

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Engineering 2021年第4期7卷 473-487页

作者： Zhiqiang Wu Yu Zhang Department of Civil and Environmental Engineering University of South FloridaTampaFL 33620USA

Urban air mobility(UAM)is an emerging concept proposed in recent years that uses electric vertical takeoff and landing vehicles(eVTOLs).UAM is expected to offer an alternative way of transporting passengers and goods in urban areas with significantly improved mobility by making use of low-altitude *** addition to other essential elements,ground infrastructure of vertiports is needed to transition UAM from concept to *** study examines the network design of UAM on-demand service,with a particular focus on the use of integer programming and a solution algorithm to determine the optimal locations of vertiports,user allocation to vertiports,and vertiport access-and egress-mode choices while considering the interactions between vertiport locations and potential UAM travel demand.A case study based on simulated disaggregate travel demand data of the Tampa Bay area in Florida,USA was conducted to demonstrate the effectiveness of the proposed *** vertiport locations were obtained by analyzing a three-dimensional(3D)geographic information system(GIS)map developed from lidar data of Florida and physical and regulation constraints of eVTOL operations at *** locations of vertiports were determined to achieve the minimal total generalized cost;however,the modeling structure allows each user to select a better mode between ground transportation and UAM in terms of generalized *** outcomes of the case study reveal that although the percentage of trips that switched from ground mode to multimodal UAM was small,users choosing the UAM service benefited from significant time *** addition,the impact of different parameter settings on the demand for UAM service was explored from the supply side,and different pricing strategies were tested that might influence potential demand and revenue generation for UAM *** combined effects of the number of vertiports and pricing strategies were also *** findings from this st

关键词： Advanced air mobility Skyport travel mode choice Low-altitude airspace Unmanned systems

Influence of land use characteristics and trip attributes on commuting mode choice: a case of Nanjing

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Journal of Southeast University(English Edition) 2014年第1期30卷 107-112页

作者：刘志伟邓卫季彦婕东南大学交通学院南京210096

The effects of socio-demographics, land use characteristics and trip attributes on the commute mode choice are studied with a nested logit （NL） model. Based on the random utility maximum theory, the NL model is formulated. The analysis is carried out in the main area of Nanjing. Direct and cross elasticities are calculated to analyze the effects of travel time and travel cost on the selection of travel mode choice. The results reveal that the non-motorized travel modes are more attractive in the areas with higher housing and employment accessibility and car owners are found to be more likely to commute to work by car. The bus and subway choice probabilities are more sensitive to changes in travel times than to changes in travel costs. In conclusion, a comprehensive public transit system and effective integration of land use and transportation policies help to relieve the traffic congestion levels caused by the increasing urban sprawl.

关键词： traffic engineering land use travel mode choice nested logit model elasticity analysis